WO2002061647A1 - Method and system or displaying information about infectious disease and method for accepting order of analysis of infectious disease - Google Patents

Method and system or displaying information about infectious disease and method for accepting order of analysis of infectious disease Download PDF

Info

Publication number
WO2002061647A1
WO2002061647A1 PCT/JP2001/000687 JP0100687W WO02061647A1 WO 2002061647 A1 WO2002061647 A1 WO 2002061647A1 JP 0100687 W JP0100687 W JP 0100687W WO 02061647 A1 WO02061647 A1 WO 02061647A1
Authority
WO
WIPO (PCT)
Prior art keywords
infectious disease
information
screen
database
data
Prior art date
Application number
PCT/JP2001/000687
Other languages
French (fr)
Japanese (ja)
Inventor
Hiroyuki Suzuki
Kenji Yasuda
Toshiaki Yokobayashi
Shinichi Fukuzono
Satoshi Takahashi
Original Assignee
Hitachi, Ltd.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hitachi, Ltd. filed Critical Hitachi, Ltd.
Priority to PCT/JP2001/000687 priority Critical patent/WO2002061647A1/en
Priority to JP2002561745A priority patent/JPWO2002061647A1/en
Publication of WO2002061647A1 publication Critical patent/WO2002061647A1/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu

Definitions

  • the present invention relates to a widespread infectious disease control (control) method and system, that is, a widespread infectious disease information display method and system, and furthermore, to these methods.
  • control control
  • Japanese Unexamined Patent Publication No. 11-2566443 discloses a risk management system for infectious disease risk management based on a survey of the current state of the field. Because the time delay required for the survey and the limitations on the scope of the survey are problems, the aim is to estimate potential pathogenic emissions in advance, to speed up countermeasures and expand the scope of the survey.
  • a mapping system that manages watershed basin information should provide information on the location and scale of pathogenic sources that have the potential to release infectious disease pathogens within the basin. From the stored basin database and the information stored in the basin database, extract information on the pathogenic emission source that can reach a specified location designated in the river channel.
  • Pathogen source extraction means and diseases given in advance for each type of pathogen source The pathogen emission amount estimating means for estimating a potential pathogenic emission amount from the pathogenic emission source extracted by the pathogen emission source extracting means using the emission amount origin, and the pathogen emission amount estimating means.
  • An infectious disease risk distribution display means for displaying the potential pathogenic discharge amount superimposed on the digital map information stored in the basin database.
  • the present invention provides a method and system for displaying information on a widespread infectious disease suitable for epidemiological analysis of a widespread infectious disease, and a method for receiving a method for analyzing a widespread infectious disease. And local factors needed to identify the route of transmission when complex pathogens are becoming more widespread and factors due to common patient characteristics The purpose is to be able to distinguish factors caused by common characteristics of pathogens.
  • the present invention collects information on infectious diseases detected by medical institutions in the region, establishes hypotheses about the route of infection, and supports the process of verifying them. It provides a disease control system.
  • the infectious disease control system manages information on the outbreak status of infectious diseases and pathogens, and distributes them to doctors, nurses, and patients involved in infection prevention. Or information methods and systems for controlling or preventing the occurrence of infectious diseases by issuing information that is easily recognizable to the inhabitants of the status.
  • the term “wide area” means that information on infectious diseases not only within a specific medical institution but also from multiple medical institutions located in the region is aggregated, and information on infectious diseases is shared among medical institutions. This refers to the area covered by the system for disseminating information on the occurrence of infectious diseases in the region to local residents.
  • This system displays the onset of infectious disease on a map, assists in estimating and identifying the route of infection, and provides information on pathogens such as infectious disease patients and bacteria and viruses.
  • the present invention provides an information system suitable for epidemiological analysis of infectious diseases.
  • infectious disease control methods and systems In particular, by focusing on specific areas based on the distribution of infectious disease patients over a wide area, the time-series spread of infectious diseases and the occurrence of infectious diseases caused by multiple Provide a method and system suitable for analyzing and identifying the mechanism of infection by stratifying by factors such as living environment.
  • a medical institution that has facilities for testing infectious diseases, an infectious disease information center that centrally manages the results of infectious disease tests from medical institutions that conduct infectious disease tests in the region, and It consists of a communication network that connects the two to each other, and combines and displays information based on the location information of infectious disease patients on a map displayed based on the map information database.
  • a means was set up to send the information on the patient's location to the infectious disease information center.
  • a means was provided for displaying the map in association with the regional map.
  • a means was provided to compositely display the transportation route, river and other terrain, distribution routes, and the locations of infectious disease patients.
  • the data of the infectious disease patient is further classified according to those items.
  • a means for combining and displaying map information is provided.
  • a means for combining and displaying the set hypothesis information is provided.
  • Infectious disease information and map information can be used not only by public institutions such as health centers, but also by individual medical institutions to prevent infectious diseases and prepare medicines by predicting the spread of infectious diseases.
  • a means was provided to refer to the infectious disease data and map information data in the infectious disease information center from the terminal to which the communication network was connected.
  • Figure 1 is a block diagram of the widespread infectious disease control system.
  • Fig. 2 is a network configuration diagram.
  • Fig. 3 shows the configuration of the infectious disease inspection system and the network in the hospital.
  • Fig. 4 is a diagram of the infectious disease information management system at the infectious disease information center.
  • FIG. 5 is a diagram showing an example of a multidimensional data base for storing infectious disease test data.
  • Fig. 6 is a diagram showing an example of a table obtained by extracting data on infectious disease A from the infectious disease multidimensional database.
  • Fig. 7 is a flowchart of the overnight collection of infectious disease tests.
  • Fig. 8 is a flow chart of storing data in a multi-dimensional database.
  • Figure 9 is a flowchart of the online analysis using the infectious disease data.
  • Figure 10 is a flowchart of the infectious disease analysis order flow chart.
  • Fig. 11 is a control dialogue diagram of the infectious disease control system.
  • Fig. 12 is a display example of infectious disease information shown on a prefecture map.
  • Figure 13 is an example of a composite display of the infectious disease map information system and the hypothetical transmission route.
  • Fig. 14 is a time-series display example of the hypothetical transmission route.
  • FIG. 15 is a diagram showing an example of a result of stratified analysis by age.
  • Figure 16 is a diagram showing the geographical locations of railways and patients with infectious diseases.
  • Figure 17 is a map showing the roads and the geographical locations of patients with infectious diseases.
  • Figure 18 shows the geographical location of rivers and infectious disease patients.
  • Figure 19 shows the river flow and high risk areas.
  • Figure 20 shows the navigation route and the geographic location of infectious disease patients.
  • Figure 21 is a map showing the air routes and the geographical locations of infectious disease patients.
  • FIG. 1 shows a block diagram of an embodiment of the present invention.
  • the widespread infectious disease control system 100 consists of the infectious disease data wafer house system 1 and the analysis system 2, and Disease data (1)
  • a medical institution (3) such as a local hospital or laboratory is connected to the system 1 via a communication line.
  • the information or data from the infectious disease data system 1 and the analysis system is output to the analyst 4 for use.
  • the disease system 1 acquired by the medical institution 3 Enter the test information 6 for each patient, convert the data 7 and collect it in the infectious disease test database (multidimensional DB) 8 and store it.
  • the Infectious Disease Data System 1 assesses the association between data items obtained as time series data from Infectious Disease Test Data 8 It has a data mining engine 10 and a search engine 11, and the search engine 11 outputs correlation data for one factor of infectious disease, and provides the analyst 4 with the data. Output for analysis 12.
  • the data accumulated on the infectious disease inspection data base is used to narrow down and aggregate data by region.
  • the analysis system 2 has a map information database 15 and stores wide-area map information.
  • the analysis system 2 includes a screen display device 16.
  • the screen display device 16 displays the aggregated data of regional infectious diseases, map information, and further provisional setting information. can do .
  • narrowed down the data for each region and aggregated the information 9 and decrypted the aggregation conditions 18 The information about 18 and the information set for the hypothesis 19 were transmitted It is done.
  • the infectious disease data is further added to the composited screen, and a detailed display 20 is made.
  • the decryption information of the aggregation conditions is used to narrow down the data for each region and aggregate the data to construct the information.
  • the infectious disease-one factor correlation data output for 2 is first used for setting conditions 2 1, and the set conditions are used to decipher the aggregation conditions 1
  • the analyst from the composite display screen of the infectious disease summary data and map information of the region displayed on the screen, the source of the infection and the route of infection (In this case, the source of the infection is The hypothesis 22 is established, and the hypothesis setting 19 is performed in the analysis system 2.
  • the hypothetically set information is synthesized and displayed on the synthesized display screen described above.
  • the infectious disease data is further added to the composite display screen that incorporates the hypothesis setting information, and a screen configuration for a more detailed and detailed display 20 is created.
  • the analyst looks at this detailed display 20 and verifies the hypothesis, determines (judges) whether the hypothesis was correct or should be re-established, and in some cases is new. Display the hypothesis setting information on the screen and combine them.
  • the hypotheses need not be alone, but can be combined and combined.
  • the infectious disease diagnostic device is connected to the medical institution 3 which stores electronic in- strument data as electronic digital data via the communication network, and is connected via the communication network.
  • a medical institution 3 that collects information on the patient from the medical institution 3, information measured by an infectious disease diagnostic device, and a geographical information on the patient in a time-series manner.
  • a data mining engine 10 that evaluates the association between data items obtained as time-series data, and a search engine 11 The results can be displayed in stratified data from further different cuts.
  • the vehicle has a map information database, and is provided with geographic information associated with the infectious disease patient on a map displayed on the display based on the map information.
  • Infection that displays a figure displayed according to a search condition input and requested from a terminal connected to the communication network via the communication network, to the terminal via the communication network It can be used as a disease control system.
  • An infectious disease controller that combines and displays the designated landmarks (mountains, rivers, railroads, department stores, schools, school districts, town wards, etc.) on the displayed map information. Control system.
  • an infectious disease information center that centrally manages the results of infectious disease tests from medical institutions that have facilities for testing infectious diseases and medical institutions that conduct infectious disease tests in the region And a communication network that connects them to each other, and displays information based on the location information of the infectious disease patient on a map displayed based on the map information database.
  • a means is provided to send the infectious disease patient's attributes to the infectious disease patient's attributes and send it to the infectious disease information center.
  • the data of the infectious disease patient is stratified according to those items, and the map information is obtained. And means for synthesizing and displaying.
  • a data warehouse to create a multi-dimensional data base that is stratified by factors such as patient attributes and environment. Provide a means to express in real time the causes of infection and the status of the spread, or the results of tests reported by each medical institution.
  • Infectious disease information and map information can be used not only by public institutions such as health centers, but also by individual medical institutions to prevent infectious diseases and prepare medicines by predicting the spread of infectious diseases. For this reason, a means will be provided to refer to the infectious disease data and map information data in the infectious disease information center from the terminal to which the communication network is connected.
  • Figure 2 shows the network of organizations involved in the widespread infectious disease control system.
  • Figure 1 shows the configuration.
  • the related organizations are connected by a communication network 36, and each organization has a means for interacting with other organizations.
  • An example of a communication network is an Internet network.
  • a network that communicates with the IP protocol using a public line such as a DN may be used.
  • the hospital In addition to the infectious disease information center 311, the hospital also sends infectious disease information to the infectious disease information center 31 and the clinical laboratory center 35. And other medical institutions are connected. Institutions that use the infectious disease information gathered in the Infectious Disease Information Center 31 can be used by staff members within the Infectious Disease Information Center or by consultations at hospitals. It is assumed that a doctor will use the room, but a local health research institute 33 or a health center 32 may be connected.
  • Fig. 3 shows the configuration of the LAN 51 in the medical institution connected to the communication network 36, and the devices connected to it.
  • the LAN in the hospital is connected to the communication network via the gateway 50. This core LAN is accepted in the hospital.
  • test order information is input to the test ordering system 52 through a terminal, and is entered into the server 54 of the infectious disease information room.
  • the laboratory 44 performs a bacterial test or a virus test on a sample collected from a patient, and transfers the test tooth decay to a test information server in the infectious disease control room 43.
  • Bacterial or viral tests are analyzed using a variety of testing devices in contact with the hospital's LAN.
  • Inspection devices include Gram stain inspection device 61, Separation and culture inspection device 62, Bacterial identification inspection device 63, Blood culture inspection device 64, Genetic inspection device 65, Drug sensitivity inspection device 66, Bacteria storage There are a device 67 and an immunoassay device (not shown). Only some of these devices may be used, and the same You can use a number. In addition, these inspection devices do not necessarily need to be directly connected to the hospital LAN.For example, the inspection is performed as a stand-alone device. The test results are copied to a recording medium such as a floppy disk that has the device, and the information is connected to the hospital LAN. 4 or print the test results once the printer is installed in the test device, and then print the test results from the information equipment connected to the hospital LAN. May be stored in the examination information server by inputting the.
  • the test information server 54 installed in the infectious disease control room stores all the test information. In addition, it stores patient information, treatment information, accounting information, and the like.
  • Fig. 4 shows the system configuration of the infectious disease information center.
  • Infectious disease information center In the evening, a data buffer was used to store the test results sent from the hospital 49 and the laboratory test center 35. 2 and a map information database 15 and a computer 78 for infectious disease analysis are installed, and they are connected to each other by LAN 71 in Sendai. It is connected . Also, since LAN 71 is connected to communication network 36 through gateway 50, it can be obtained at hospital 49 or clinical laboratory center 35. You can receive the test data of the patient you have received, and send the data stored or generated in this center.
  • the database contains metadata, a database 74 for storing data and a release for managing information such as pathogens, hospitals, and testing centers.
  • Meta * data is a database used to clean data, and was measured using a dictionary of items called under different names or using a different method. Stores the data conversion method.
  • the relational database 76 stores hospital information, bacterial information, drug information, and the like. Hospital information consists of the location of the hospital, the department name, and the medical facilities. Bacterial information includes bacterial classification information, genetic information, drug resistance information, and image information. The drug information includes the method of use, resistant strains, etc.
  • the map information database 15 stores the map information of the districts that should be managed by the infectious disease information center.
  • the map information may include geographic features, rivers, railways, roads, roads, sea routes, air routes, schools, and other facilities, and school districts, and their positional relationships are recorded.
  • the infectious disease analysis computer 78 can display map information stored in the map information database on the screen. In addition, it is possible to specify a specific area on the displayed map information and enlarge it.However, the method of specifying the enlarged area is from the start point to the end point of the pointing device. It is possible to display the area where the lag and release are the end point, and the area where the start point and the end point are diagonal lines is adjusted to the size of the window.
  • Figure 5 shows an example of a multidimensional infectious disease database.
  • the test data shows the three-dimensional data of the region, occupation, and type of infectious disease, but actually three-dimensional data of the same structure is stored in chronological order.
  • the four-dimensional data which is the three-dimensional data plus the time axis, is stored.
  • a two-dimensional table 79 consisting of the region and the occupation is obtained as shown in Fig.6.
  • the multidimensional database can cut out tables arbitrarily not only on the Z axis of infectious disease but also on the regional axis and occupation axis.
  • Figure 7 shows the flow from the performance of the test to the storage of the test result in the data of the infectious disease information center 4 4 air house 72.
  • patient information is registered in the test ordering system 52, and test items corresponding to the symptoms are registered (A1).
  • the address is entered in the patient information, but as an alternative, the address of the workplace, school, or hospital where the infectious disease test is going to be performed A system that uses this is also conceivable.
  • the patient collects samples such as blood, urine, stool, and tissue according to the test items, and sends them to the infectious disease laboratory with the test item information (A2).
  • the infectious disease laboratory obtains the test item order information and the specimen, conducts a test using an appropriate infectious disease inspection device 25-1-7 (A3), and sends the test results to the test information server 24. Transfer (A4). Repeat A1 to A4 until the test is completed for all patients to be tested on that day (A5). When the examination has been completed for all patients, or at a specified time, such as at night when the examination for the day has been completed, the examination data for that day is sent from Hospital 4. The information is transferred to the infectious disease information center 1 via the communication network 36 (A6).
  • Test result data sent from Hospital 4 at Infectious Disease Information Center 1 The treatment of the evening will be described with reference to FIG.
  • test result data from a medical institution such as a hospital 49 or a clinical test center 35 is received from the communication network 36 (B1)
  • the sending hospital or communication protocol is received.
  • the data format is read from the call and determined (B2). This means that different medical institutions use different test equipment, and that the information systems and communication protocols are different, which means that the format of the data is important. May be different.
  • the data is interpreted by the meta data 74 and the data is converted using the data conversion / extraction tool 73 (B3), and FIG.
  • the test results are stored in the infectious disease database 8 shown in FIG.
  • Figure 9 shows the procedure for performing analysis using the infectious disease multidimensional database 35.
  • the area to be displayed is specified (C1), and the map information of the area is searched from the map information database 37 (C2).
  • search for infectious diseases in the region to be displayed from the multidimensional database (C3).
  • the pathogenesis data can be searched at a multidimensional data pace with one sequential access.
  • the retrieved infectious disease data is all data that satisfies the search conditions. Assuming that they will be included, if there are narrowing conditions such as the type of infectious disease, the occupation of the patient, and the region, the data will be tabulated in Step C4. Since there is information on the patient's address in the infectious disease data obtained in this way, they are combined into geographic information for each region (C5).
  • Color coding may be performed according to the numerical range, or bar graphs, pie graphs, plots of points of occurrence, etc. may be drawn near prefectures (C6).
  • a hypothesis is set, synthesized in addition to the synthesized map information, and further added with infectious disease data and displayed on a detailed screen for verification (C7).
  • Infectious disease data cannot be read from infectious disease data shown on the map
  • the process returns from step C8 to step C4 and returns to the tabulation processing (C4), the synthesis processing of infectious disease data and map information (C5), and the map information
  • the display (C6) will be repeated.
  • As a change in the aggregation method it is effective to perform grouping based on the genetic information of pathogens.
  • the additional display of map information (C9) is performed, and it is examined whether to change the displayed area (C10).
  • Adding map information assumed to be the route of infection to the map information of the infectious disease data in this way is effective in specifying the route of infection. For example, by showing the railway display and showing the plot of the residence of the infectious disease patient, the railway has some influence on the transmission of this infectious disease from the screen. This can be expected.
  • Widespread infectious disease information can be displayed in more detail by limiting the display area using a mouse or other pointing device (limited area) and enlarging it. Obtainable . (C10).
  • infectious disease data including infectious disease patient's occurrence geographical information and time-series information is stored in a database, and a (wide-area) map based on map information and a database are stored.
  • a (wide-area) map based on map information and a database are stored.
  • On the screen based on the geographical information of the infectious disease patients stored on the screen, and displays a combined infectious disease display that combines the hypothesized infection route on the screen.
  • the hypothetical route of infection is verified by using the infectious disease data stored in the database in a way such as adding, etc. (wide area)
  • a method for displaying infectious disease information is provided. Is
  • the database also provides a (wide) infectious disease information display method that stores multidimensional information such as occupation, age or DNA information of infectious disease patients.
  • a method for displaying infectious disease information that narrows down the hypothesis by referring to the evaluation of the relationship between multidimensional information is provided for the hypothesis of the infectious disease route.
  • the database of infectious disease data which includes information on the occurrence of infectious disease patients and time-series information, is stored in a database.
  • the origin of the infectious disease based on is displayed on the screen, and the screen displays a combined infectious disease display that combines the hypothesized infection route, and extends the hypothesized infection route to extend the screen.
  • a method for displaying infectious disease information on a screen (wide area) that displays an area including the infected route is provided.
  • a database that stores infectious disease data including information on the occurrence of infectious diseases and time-series information, a wide-area map, and an infectious disease patient's geography stored in the database
  • a screen display device for displaying on the screen the location information of the infectious disease patient based on the information; and an infectious disease synthesis display device for displaying a hypothetical infection route on the screen. (Wide area)
  • An infectious disease information display system will be provided.
  • a (wide-area) infectious disease information display system which has means for outputting infectious disease data on the screen.
  • a database for storing infectious disease data including the geographical information and time-series information on the occurrence of infectious disease patients, a wide-area map, and the occurrence of infectious disease patients stored in the database A screen display device for displaying on the screen the location information of the infectious disease patient based on the geographical information; and an infectious disease synthesis display device for displaying the hypothesized infection route on the screen.
  • the display device is provided with a (wide-area) infectious disease information display system that displays an area including an extended infection route on the hypothetical infection route on a screen.
  • a communication information collection device that collects infectious disease data of infectious disease patients owned by an external medical institution, and multidimensional data of infectious disease data obtained as time-series data Screen processing to display the data mining engine to evaluate the association, the search engine, and the searched results along with a wide-area map and the hypothesized infection route A (wide-area) infectious disease information display system comprising a display device and is provided.
  • Figure 10 shows the flow for receiving an order for infectious disease analysis.
  • the analysis method is the same as in the example shown in Fig. 9, and the analysis result is finally reported and the delivery and billing are performed for the customer (consignor) who ordered.
  • a wide-area map and information on the location of the infectious disease based on the geographical information of the occurrence of the infectious disease stored in the database are displayed on a screen.
  • a hypothetical infection route is synthesized by displaying the hypothesized infection route, and the hypothesized infection route is verified by using infectious disease data. This will provide a widespread infectious disease verification ordering method for paying orders.
  • a wide-area map and the location information of the infectious disease patient based on the geographical information of the infectious disease patient stored in the database are displayed on the screen, and the hypothesized infection is displayed on the screen.
  • the hypothetical route of infectious disease was verified by adding the infectious disease data to the infectious disease synthesis display that synthesized the route, and the hypothesized route of infectious disease was extended and extended.
  • a wide-area infectious disease verification ordering method is provided, in which the area including the infection route is displayed on the screen and the order is paid.
  • Fig. 11 shows an example of the screen display of the infection control.
  • the screen is divided into a map information display section 81 and an operation section 82 to analyze the distribution of infectious diseases.
  • the map information display section displays a map of the entire area managed by this system, and displays the distribution of infectious disease patients on top of it.
  • the area to be displayed can be enlarged and displayed in the area specified by the mouse, and the map is displayed according to the scale of the map.
  • Information volume of information Is increasing. For example, when displaying Japan as a whole, only information up to the border of prefectures is displayed, but the area to be displayed is narrower, such as by region, by prefecture, or by municipalities. Then, detailed information such as railway information, rivers, and buildings is adopted as hypothetical information.
  • the operation unit 82 is provided with a button 83 used for setting a hypothesis.
  • Temporary infection routes are selected and set, such as air routes, railways, highways, highways, highways, general roads, rivers, lakes, schools, school districts, factories, or weather conditions. Two or more may be set.
  • map information check box selects map information to be displayed on the map.
  • “high risk area display” that indicates the high risk areas where infectious diseases will spread in the future Button and a "Clear” button to return the map information to the initial display.
  • Figure 12 shows a combination of the Japanese archipelago 85 and the map information 86 stored in the map information database, and the prefectures 87, 88 with the highest numbers of infectious diseases. This is the displayed map.
  • the example shown in Fig. 9 is not clear on the drawing, but if the occurrence of infectious disease is below a certain rate, it will remain on a white background and the incidence will be more than that, below a certain standard In some cases, light gray color is used, and dark gray indicates prefectures that exceed the standard that is considered to be more frequent.
  • Fig. 13 is a map in which the rectangular area specified using the pointing device in Fig. 9 is enlarged and displayed. The boundaries of the prefectures are marked, and the provinces with the highest incidence of infectious diseases are hatched. In addition, a seal 89 is displayed at the residence of the patient where the infectious disease was detected.
  • the railway (tentatively the central line) 9 ⁇ is marked with a bold line, and by combining this with infectious disease information, what is the railway's route as an infectious disease transmission route? It is anticipated that this has played a role. In this way, railways are hypothesized as routes of infectious diseases.
  • Fig. 14 shows the composite of Fig. 13 in chronological order two months ago, one month ago, and now. This is the figure displayed side by side. This shows the aggregation of infectious disease data from C4 to C8 and a composite diagram with map information when executing the algorithm to generate Figure 13. This can be achieved by switching the data aggregation period to two months ago, one month ago, and the current time in the processing. By showing such a time-series distribution map, it can be seen that the infectious disease gradually spreads from along the railway to the surrounding area and then to the adjacent area. The route of infection is verified.
  • Figure 15 shows the infectious disease patients stratified by age and mapped on a map. The distribution of patients is widespread throughout the region, but if you are only an elementary school child from 6 to 12 years old, infectious disease patients are distributed mainly in elementary schools This makes it possible to hypothesize that this elementary school is the source of the infection.
  • the source of the infection is verified by adding the infection data as shown in Fig.14. This can be achieved by categorizing the data by age when executing the algorithm to generate Figure 15.
  • Fig. 16 to Fig. 18 show examples in which infectious disease information is displayed on a map of a certain municipality, and railroads, roads, and rivers are switched one after another.
  • Figure 16 shows railway and infectious disease patient locations
  • Figure 17 shows railway and infectious disease patients
  • Figure 18 shows river and infectious disease patients.
  • This is a diagram obtained by switching the check box of the operation unit shown in Fig. 11 to a railway, a general road, a river, a lake, or a marsh. This indicates that rivers and lakes are suspicious as a route of transmission of this infectious disease.
  • Figures 16 to 18 show areas not specified in the check boxes. Graphic information is also displayed. For example, even if the railway check box is selected, information on roads and rivers is displayed, and railways are displayed as bold lines. In this way, rather than selecting the information to be displayed, by cooperatively displaying it, it is clear what is suspected as an infection route, and at the same time, the relationship with other information. May be displayed so that they can be compared.
  • the high list area display button in Fig. 11 When the high list area display button in Fig. 11 is pressed in Fig. 18, the direction of river flow is displayed, and as shown in Fig. 19, the risk of infectious disease spreading in the future will increase. Show downstream areas with high risk and call attention to infectious diseases. That is, the high risk area 91 including the extended transmission route of the hypothetical transmission route is displayed on the screen. In other words, areas with high risks associated with river flows are displayed as areas that call attention. The same applies to other transmission routes. In this case, the function of the above-described screen display device 16 is expanded, and a screen processing display device is obtained.
  • Figure 20 is a route map with infectious disease patients showing the area where many islands are dense and the ferry route 92. According to this figure, it can be seen that infectious disease X is spreading along the ferry route 91. In this case, a hypothesis is set and verified.
  • Figure 21 shows the domestic air route 93 centering on Fukuoka Airport and the air route showing the airport location 94 and the infection map.
  • the number of infectious disease patients at the airport location (prefecture) is indicated by the size of ⁇ . From this, it can be inferred that infected patients are moving by aircraft.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Human Resources & Organizations (AREA)
  • Public Health (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Game Theory and Decision Science (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Instructional Devices (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

An information system preferable for epidemiologically analyzing an infectious disease and most suitable for analyzing/specifying the mechanism of the infection of an infectious disease by layering the time-sequential spread of the infectious disease in each area and the occurrence of the infectious disease having factors according to the factors such as patient and living environment. The system is provided with means for sending attributes of a patient of the infectious disease related to information about the position of the patient to an infectious disease information center so as to combinedly display information based on the patient position information on a map displayed on the basis of map information database. The system is further provided with means for displaying the infecting state related to the map of the area so as to specify the route of the infection of the infectious disease, means for combinedly displaying the transportation facilities which can be routes of the infection, the terrain including rivers, the routs of physical distribution, and the positions of the patients of the infectious disease so as to epidemically analyze the infectious disease, and means for combinedly displaying data on the patients layered according to the items such as the age, gender, build, and past medical history of each patient if the items can be the factors of the infectious disease. A hypothesis is formulated and proved, and the routes of the infection are specified.

Description

明 細 書 感染症情報表示方法お よびシ ス テ ム並びに感染症の分析受注方法 技術分野  Description Infectious disease information display method and system and infectious disease analysis ordering method Technical field
本発明は、 広域的感染症管理 （ コ ン ト ロ ール） 方法お よびシ ス テ ム 、 すなわ ち広域的感染症情報表示方法お よ び シ ス テ ム、 更に は こ れ ら の 方法お よ びシ ス テ ム を使用 し た広域的感染症の分析受注方法 に関す る 背景技術  The present invention relates to a widespread infectious disease control (control) method and system, that is, a widespread infectious disease information display method and system, and furthermore, to these methods. Background technology on how to receive orders for analysis of widespread infectious diseases using systems and systems
特開平 1 1 一 2 5 6 5 4 3 号公報は、 感染症病原 リ ス ク 管理マ ツ ピ ン グシ ス テ ム に 関 し、 フ ィ ール ド 現況調査に基づ く 感染症病原対策で は、 調査に要す る 時間遅れや調査範囲の制約が問題 と な る た め、 事前 に潜在的な病原排出量を推定 し、 対策の迅速化や調査範囲の拡大 を 図 る こ と を 目 的 と して、 水源の流域情報を管理する マ ッ ピ ン グシス テ ム において、 該流域内で感染症病原 を排出 す る 可能性を有す る 病原排出 源の位置 と規模に関す る 情報を格納 した流域データ ベース と 、 前記流 域データ ベース に格納 さ れた情報の 中か ら 、 河川流路内に指定さ れた 特定箇所 に到達可能な該病原排出源に関す る 情報を抽出す る 病原排出 源抽出手段 と 、 該病原排出源の種類 ご と に予 め与え た病原排出量原 位を用 いて、 前記病原排出源抽出手段で抽出 した病原排出源か ら の潜 在的病原排出量を推定す る 病原排出量推定手段 と 、 前記病原排出量推 定手段で推定 し た潜在的病原排出量を前記流域デー タ ベース 内 に格納 さ れて い る デ ィ ジ 夕 ル地図情報に重ね合わせて表示する感染症 リ ス ク 分布表示手段 と、 を有する システムが記載されている 。  Japanese Unexamined Patent Publication No. 11-2566443 discloses a risk management system for infectious disease risk management based on a survey of the current state of the field. Because the time delay required for the survey and the limitations on the scope of the survey are problems, the aim is to estimate potential pathogenic emissions in advance, to speed up countermeasures and expand the scope of the survey. For example, a mapping system that manages watershed basin information should provide information on the location and scale of pathogenic sources that have the potential to release infectious disease pathogens within the basin. From the stored basin database and the information stored in the basin database, extract information on the pathogenic emission source that can reach a specified location designated in the river channel. Pathogen source extraction means and diseases given in advance for each type of pathogen source The pathogen emission amount estimating means for estimating a potential pathogenic emission amount from the pathogenic emission source extracted by the pathogen emission source extracting means using the emission amount origin, and the pathogen emission amount estimating means. An infectious disease risk distribution display means for displaying the potential pathogenic discharge amount superimposed on the digital map information stored in the basin database. There.
広域的感染症の場合、 感染症の広が り は河川流域に限定 さ れる こ と はな く 、 高速道路や鉄道な どが発達 した今 日 では病原体の保菌者が遠 距離を移動す る こ と に よ っ て従来の よ う に特定の河川流域の リ ス ク を 管理す る だけで な く 、 保菌者が移動す る 範囲 を広 く カバーで き る 広域 的な感染症コ ン ト ロ ールシス テムが必要 とな っ て きてい る 。 発明の開示 In the case of widespread infectious diseases, the spread of infectious diseases is not limited to river basins, and the pathogen carriers are distant today when highways and railways are developed. As well as managing the risks of a particular river basin by moving the distance as before, it also has a wide area to cover the range that the carriers can move. Infectious disease control systems are becoming necessary. Disclosure of the invention
本発明は、 かか る 点に鑑み、 広域的感染症の疫学的な分析 に好適な 広域的感染症情報表示方法お よ びシ ス テ ム、 並びに広域的感染症の分 析方法の受注方法 を提供 し、 以 つ て複雑な病原体が広 ま り つつ あ る 場 合に、 その感染経路を特定す る た め に必要な地域的な局所性、 患者の 共通的な特徴に起因す る 要因、 病原体に共通な特徴に起因す る 要因 を 分別する こ と がで き る よ う にする こ と を 目的 と する 。  In view of the above, the present invention provides a method and system for displaying information on a widespread infectious disease suitable for epidemiological analysis of a widespread infectious disease, and a method for receiving a method for analyzing a widespread infectious disease. And local factors needed to identify the route of transmission when complex pathogens are becoming more widespread and factors due to common patient characteristics The purpose is to be able to distinguish factors caused by common characteristics of pathogens.
本発明は、 地域にお け る 医療機関 において検出 さ れた感染症情報 を 集約 し、 感染経路に 関す る仮説を 立て 、 そ れ ら を検証す る プ ロ セ ス を 支援す る広域的感染症コ ン ト ロ ール シス テ ム を提供する も ので あ る 。 こ こ で感染症コ ン ト ロ ール シ ス テ ム と は、 感染症の発生状況や病原体 に 関す る 情報 を管理 し、 こ れ ら を感染予防に 関係す る 医師， 看護婦 ， 患者あ る いは地位の住民 に対 して認知 しやすい情報 に して発行 して感 染症の発生を 抑制 し た り 、 予防す る た めの情報方法 ， シス テ ム の こ と を い う 。 ま た広域的 と は特定の 医療機関の 内部だ けでな く 、 地域に所 在す る 複数の 医療機関の感染症情報を集約 して、 医療機関間で感染症 情報を 共有 し た り 、 地域住民に対 して地域に おけ る 感染症の発生状況 について情報発信する シス テムのカバ一する地域を さ す。  The present invention collects information on infectious diseases detected by medical institutions in the region, establishes hypotheses about the route of infection, and supports the process of verifying them. It provides a disease control system. Here, the infectious disease control system manages information on the outbreak status of infectious diseases and pathogens, and distributes them to doctors, nurses, and patients involved in infection prevention. Or information methods and systems for controlling or preventing the occurrence of infectious diseases by issuing information that is easily recognizable to the inhabitants of the status. In addition, the term “wide area” means that information on infectious diseases not only within a specific medical institution but also from multiple medical institutions located in the region is aggregated, and information on infectious diseases is shared among medical institutions. This refers to the area covered by the system for disseminating information on the occurrence of infectious diseases in the region to local residents.
本シ ス テム は、 感染症の発症状況 を地図上 に合成表示 して、 感染経 路の推定や特定を支援 し、 さ ら に感染症患者や細菌 · ウ ィ ルス な どの 病原体の情報か ら 症例 を様々 な角度か ら 層別 する こ と に よ っ て感染症 の感染経路を 特定す る 手段、 お よ び新た な感染症に 関する 情報を 医療 機関間で共有す る た め の手段を提供する 感染症コ ン ト ロ ール シス テ ム であ る 。 This system displays the onset of infectious disease on a map, assists in estimating and identifying the route of infection, and provides information on pathogens such as infectious disease patients and bacteria and viruses. Means for identifying the route of transmission of infectious diseases by stratifying cases from various angles, and means for sharing information on new infectious diseases among medical institutions Infectious disease control system provided It is.
本発明は、 感染症の疫学的な分析 に好適な情報 シ ス テ ム を提供す る 。 特に高速道路、 鉄道、 空港な ど に よ っ て保菌者が遠距離を頻繁に移動 す る 状況 において、 従来技術で は特定 し に く か っ た感染経路を容易 に 仮説を た て、 検証で き る 感染症コ ン ト ロ ール方法、 シ ス テ ム を提供す る 。更 に、広域にわ た る 感染症患者の分布か ら 特定の地域に絞 り 込み、 感染症の時系列 的な広が り 方や、 複数要因 か ら な る 感染症の発生 を、 患者や生活環境な どの要因 ご と に層別す る こ と に よ っ て感染の メ カ 二 ズム を分析 · 特定する の に適 した方法、 シス テム を提供する 。  The present invention provides an information system suitable for epidemiological analysis of infectious diseases. In particular, in situations where carriers frequently travel long distances, such as on highways, railroads, and airports, it is easy to hypothesize infection routes that were difficult to identify with the conventional technology, and to conduct verification. Provide infectious disease control methods and systems. In addition, by focusing on specific areas based on the distribution of infectious disease patients over a wide area, the time-series spread of infectious diseases and the occurrence of infectious diseases caused by multiple Provide a method and system suitable for analyzing and identifying the mechanism of infection by stratifying by factors such as living environment.
すなわ ち、 広域的な感染症の分布か ら 、 感染症の発生原 因 につ いて の仮説を たて、 その仮説に基づ いて検証を お こ な う プ ロ セ ス を繰 り 返 す こ と に よ る 感染経路の分析お よ び特定に好適な方法、 シ ス テ ム を提 供する 。  In other words, based on the distribution of infectious diseases over a wide area, the process of making hypotheses about the causes of infectious diseases and conducting verification based on the hypotheses is repeated. Methods and systems suitable for analysis and identification of the route of transmission by this method will be provided.
以上の課題を解決す る た め に、 更 に具体的 には、 下記の手段を設け た。  In order to solve the above problems, the following means have been provided more specifically.
感染症を検査する 設備を有す る 医療機関 と 、 地域内の感染症検査を 実施す る 医療機関か ら 感染症検査の結果を集中管理す る感染症情報セ ン タ ー と 、 そ れ ら を相互 に接続す る 通信ネ ッ ト ワ ー ク か ら な り 、 地図 情報データ ベース を元 に表示 さ れる 地図上 に、 感染症患者の位置情報 に基づ い た情報 を合成表示す る た め に、 感染症患者の属性に感染症患 者の位置情報 を合わせて感染症情報セ ン タ ー に送付す る 手段を設けた ' 感染症の感染経路 を特定す る た め に、 感染状況を地域の地図 と 関連 さ せて 表示す る 手段を設けた 。 ま た感染症の疫学的な分析 を行 う た め に、 感染経路 と な り う る 交通機関、 河川 な どの地形、 流通経路 と感染 症患者の位置を合成表示する手段を設けた。  A medical institution that has facilities for testing infectious diseases, an infectious disease information center that centrally manages the results of infectious disease tests from medical institutions that conduct infectious disease tests in the region, and It consists of a communication network that connects the two to each other, and combines and displays information based on the location information of infectious disease patients on a map displayed based on the map information database. In order to identify the route of transmission of the infectious disease, a means was set up to send the information on the patient's location to the infectious disease information center. A means was provided for displaying the map in association with the regional map. In addition, in order to conduct epidemiological analysis of infectious diseases, a means was provided to compositely display the transportation route, river and other terrain, distribution routes, and the locations of infectious disease patients.
更 に感染症 に係る 要因 と して 患者の年齢、 性別、 体格、 既往症な ど が考え ら れる 場合に、 それ ら の項 目 に よ っ て感染症患者のデータ を層 別 して地図情報 と合成表示す る 手段を設けた。 更 に、 設定さ れた仮説 情報を合成表示す る 手段を設けた 。 すな わ ち 、 シ ス テ ム か ら 出 さ れ る 感染症 と要因の相関関係や、 地図 と 発生件数の合成表示か ら 「仮説」 を設定 し、 詳細な表示を行 う こ と に よ っ て 「検証」 する 手段を設けた 。 時系列データ を リ アルタ イ ム で参照す る た めに、 デ一夕 ゥ ヱ ァノヽ ゥ ス を利用 し、 患者の属性や環境な どの要因 ご と に層別 さ れた多次元デ 一夕 ペース を設け、 感染症の発生原 因や蔓延の状況、 あ る い は各医療 機関か ら報告さ れる検査結果を リ アルタ イ ムで表わす手段を設けた。 If the age, gender, physique, and history of the patient are considered as factors related to the infectious disease, the data of the infectious disease patient is further classified according to those items. Separately, a means for combining and displaying map information is provided. Further, a means for combining and displaying the set hypothesis information is provided. In other words, it is possible to set a “hypothesis” based on the correlation between infectious diseases and factors that are output from the system and a composite display of the map and the number of occurrences, and perform detailed display. Therefore, a means for “verification” was provided. In order to refer to the time-series data in real time, we use data analysis to create multi-dimensional data that is stratified by factors such as patient attributes and environment. A pace was set up, and a means was provided to express the causes and spread of infectious diseases or the results of tests reported by medical institutions in real time.
感染症情報 と 地図情報は保健所な どの公的機関が使用す る 以外 に、 個々 の 医療機関 におい て も 感染症予防や、 感染症の.流行予測 に よ る 医 薬品の準備な ど を可能 と す る た め、 感染症情報セ ン タ ーに あ る 感染症 データ と地図情報デー タ を通信ネ ヅ ト ワ ー ク が接続さ れて い る 端末か ら参照する手段を設けた。 図面の簡単な説明  Infectious disease information and map information can be used not only by public institutions such as health centers, but also by individual medical institutions to prevent infectious diseases and prepare medicines by predicting the spread of infectious diseases. For this purpose, a means was provided to refer to the infectious disease data and map information data in the infectious disease information center from the terminal to which the communication network was connected. BRIEF DESCRIPTION OF THE FIGURES
第 1 図は広域的感染症コ ン ト ロールシステ ムの構成図であ る 。  Figure 1 is a block diagram of the widespread infectious disease control system.
第 2 図はネ ッ ト ワーク構成図であ る 。  Fig. 2 is a network configuration diagram.
第 3 図は病院内 にお け る感染症検査シス テ ムお よ びネ ッ ト ワ ー ク 構 成図であ る 。  Fig. 3 shows the configuration of the infectious disease inspection system and the network in the hospital.
第 4 図は感染症情報セ ン 夕 一にお け る 感染症情報管理シス テ ム 図で あ る 。  Fig. 4 is a diagram of the infectious disease information management system at the infectious disease information center.
第 5 図は感染症検査データ を格納する 多次元デ一夕 ベース の一例 を 示す図であ る 。  FIG. 5 is a diagram showing an example of a multidimensional data base for storing infectious disease test data.
第 6 図は感染症多次元デー タ ベース か ら 感染症 A について のデー タ を切 り 出 して得 ら れる テーブルの例を示す図であ る 。  Fig. 6 is a diagram showing an example of a table obtained by extracting data on infectious disease A from the infectious disease multidimensional database.
第 7 図は感染症検査のデ一夕 収集のフ ロ ーチャー ト 図であ る 。  Fig. 7 is a flowchart of the overnight collection of infectious disease tests.
第 8 図は多次元デ一夕 への格納の フ ロ ーチ ャ ー ト 図である 。 第 9 図は感染症デ一夕 を用 い た オ ン ラ イ ン分析の フ ロ ーチ ヤ一ト 図 であ る 。 Fig. 8 is a flow chart of storing data in a multi-dimensional database. Figure 9 is a flowchart of the online analysis using the infectious disease data.
第 1 0 図は感染症分析受注フ ロ ーチ ヤ 一 ト 図であ る 。  Figure 10 is a flowchart of the infectious disease analysis order flow chart.
第 1 1 図は感染症コ ン ト ロ ールシ ス テ ム の制御ダイ ア ロ グ図で あ る 第 1 2 図は都道府県地図に示された感染症情報の表示例図であ る 。 第 1 3 図は感染症地図情報シ ス テ ム と仮説伝染経路の合成表示例図 であ る 。  Fig. 11 is a control dialogue diagram of the infectious disease control system. Fig. 12 is a display example of infectious disease information shown on a prefecture map. Figure 13 is an example of a composite display of the infectious disease map information system and the hypothetical transmission route.
第 1 4 図は仮説伝染経路の時系列表示例図であ る 。  Fig. 14 is a time-series display example of the hypothetical transmission route.
第 1 5 図は年齢に よ る層別分析 した結果例を示す図である 。  FIG. 15 is a diagram showing an example of a result of stratified analysis by age.
第 1 6 図は鉄道 と感染症患者の地理的発生位置の表示図であ る 。 第 1 7 図は道路 と感染症患者の地理的発生位置の表示図であ る 。 第 1 8 図は河川 と感染症患者の地理的発生位置の表示図であ る 。 第 1 9 図は河川の流れ と リ ス ク の高い領域を示す図である 。  Figure 16 is a diagram showing the geographical locations of railways and patients with infectious diseases. Figure 17 is a map showing the roads and the geographical locations of patients with infectious diseases. Figure 18 shows the geographical location of rivers and infectious disease patients. Figure 19 shows the river flow and high risk areas.
第 2 0 図は航路 と感染症患者の地理的発生位置表示図であ る 。  Figure 20 shows the navigation route and the geographic location of infectious disease patients.
第 2 1 図は航空路 と感染症患者の地理的発生位置表示図であ る 。 発明の実施す る ための最良の形態  Figure 21 is a map showing the air routes and the geographical locations of infectious disease patients. BEST MODE FOR CARRYING OUT THE INVENTION
【発明の実施の形態】  BEST MODE FOR CARRYING OUT THE INVENTION
以下、 本発明にかかる実施例を図面に基づいて説明する。  Hereinafter, embodiments according to the present invention will be described with reference to the drawings.
図 1 は、 本発明の実施例の概略を プロ ッ ク で示す。 図において、 広 域的感染症コ ン ト ロ ール シ ス テ ム 1 0 0 は、 感染症データ ウ ェ アハ ウ ス シ ス テ ム 1 お よ び分析 シス テ ム 2 か ら な り 、 感染症データ ゥ ヱ ァハ ウス シ ス テ ム 1 には地域の病院、 検査セ ン タ ーな どの医療機関 3 が通 信回線で接続 さ れる 。 感染症データ ウ エ アハ ウ ス シ ス テ ム 1 お よ び分 析シ ス テ ムか ら の情報あ る い はデータ は分析者 4 に 出力 さ れ、 利用 さ れる 。  FIG. 1 shows a block diagram of an embodiment of the present invention. In the figure, the widespread infectious disease control system 100 consists of the infectious disease data wafer house system 1 and the analysis system 2, and Disease data (1) A medical institution (3) such as a local hospital or laboratory is connected to the system 1 via a communication line. The information or data from the infectious disease data system 1 and the analysis system is output to the analyst 4 for use.
感染症デ一夕 ゥ ヱ ァハ ウ ス シ ス テ ム 1 は、 医療機関 3 が取得 し た 患 者ご と の検査情報 6 を入力 して データ 変換 7 して感染症検査データ べ —ス （多次元 D B ) 8 に収集 し、 保管す る 。 感染症デ一夕 ウ ェ アハ ウ ス シス テ ム 1 は、 感染症検査デ一夕 べ一ス 8 か ら 時系列デ一夕 と して 得 ら れたデー タ 項 目 間の 関連を評価する データ マ イ ニ ン グエ ン ジ ン 1 0 と検索エ ン ジ ン 1 1 と を有 し、 検索エ ン ジ ン 1 1 か ら 感染病 一 要因 相関データ が 出力 さ れ、分析者 4 に そ の分析 1 2 のた めに 出力 さ れ る 。 感染病検査デ一 夕 ベース に蓄積 さ れたデータ は、 地域ご と に データ を 絞 り 込んで集計 9 す る ため に使用 さ れる 。 Overnight infectious disease ヱ The disease system 1 acquired by the medical institution 3 Enter the test information 6 for each patient, convert the data 7 and collect it in the infectious disease test database (multidimensional DB) 8 and store it. The Infectious Disease Data System 1 assesses the association between data items obtained as time series data from Infectious Disease Test Data 8 It has a data mining engine 10 and a search engine 11, and the search engine 11 outputs correlation data for one factor of infectious disease, and provides the analyst 4 with the data. Output for analysis 12. The data accumulated on the infectious disease inspection data base is used to narrow down and aggregate data by region.
分析 シス テ ム 2 は、 地図情報データ ベース 1 5 を有 し、 広域的地図 情報を格納す る 。 ま た、 分析 シス テ ム 2 は、 画面表示装置 1 6 を備え、 こ の画面表示装置 1 6 は地域の感染症集計データ と 地図情報 と、 更 に 仮設 し た設定情報 と を合成表示 1 7 する こ と がで き る 。 こ の合成表示 のた め に地域 ご と にデー タ を絞 り 込んで集計 9 さ れた情報、 集計条件 の解読 1 8 に つ いて の情報更 に は仮説設定 1 9 さ れた情報が伝送さ れ る 。  The analysis system 2 has a map information database 15 and stores wide-area map information. In addition, the analysis system 2 includes a screen display device 16. The screen display device 16 displays the aggregated data of regional infectious diseases, map information, and further provisional setting information. can do . For this composite display, narrowed down the data for each region and aggregated the information 9 and decrypted the aggregation conditions 18 The information about 18 and the information set for the hypothesis 19 were transmitted It is done.
合成表示さ れた画面 に は更 に感染症データ が加算 さ れ、 詳細な表示 2 0 がな される 。  The infectious disease data is further added to the composited screen, and a detailed display 20 is made.
集計条件の解読情報は、 地域 ご と にデータ を絞 り 込んで集計 して 情 報を構築する ため に使用 さ れる 。  The decryption information of the aggregation conditions is used to narrow down the data for each region and aggregate the data to construct the information.
分析者 4 の 分析 1 2 の ため に 出力 さ れた感染症一要因相関データ は ま ず条件の設定 2 1 に使用 さ れ、 設定さ れた条件は集計条件の解読 1 Analyst 4's analysis 1 The infectious disease-one factor correlation data output for 2 is first used for setting conditions 2 1, and the set conditions are used to decipher the aggregation conditions 1
8 のた めに使用 される 。 Used for 8.
分析者は、 画面表示 さ れた地域の感染症集計デー タ と地図情報 と の 合成表示画面 か ら 感染源 · 感染経路 （本件で は、 感染経路に は記載が ない限 り 、 感染源を含め る 。） の仮説 2 2 を立て、 分析シス テ ム 2 に仮 説設定 1 9 を 行 う 。 すな わ ち 前述 し た合成表示画面 に更に仮説設定 し た情報を合成表示する 。 仮説設定情報 を取 り 込んだ合成表示画面に 更に感染症データ を加算 し、 一層詳細 に し た詳細な表示 2 0 の た めの画面構成 と す る 。 分析者 は、 こ の詳細な 表示 2 0 を見て仮説の検証を行い、 仮説が正 しか っ た か、 仮説を立て 直すべ き か を判断 （判定） し、 場合に よ っ て は新 しい 仮説設定情報を 画面 に表示 し、 合成する 。 仮説は単独ばか り で な く 、 組み合わせた複合的な も の と して も よい。 The analyst, from the composite display screen of the infectious disease summary data and map information of the region displayed on the screen, the source of the infection and the route of infection (In this case, the source of the infection is The hypothesis 22 is established, and the hypothesis setting 19 is performed in the analysis system 2. In other words, the hypothetically set information is synthesized and displayed on the synthesized display screen described above. The infectious disease data is further added to the composite display screen that incorporates the hypothesis setting information, and a screen configuration for a more detailed and detailed display 20 is created. The analyst looks at this detailed display 20 and verifies the hypothesis, determines (judges) whether the hypothesis was correct or should be re-established, and in some cases is new. Display the hypothesis setting information on the screen and combine them. The hypotheses need not be alone, but can be combined and combined.
以上の よ う に 、 感染症診断機器を 電子的な デジ タ ルデータ と して保 有す る 医療機関 3 と通信ネ ッ ト ワ ー ク で接続 し、 該通信ネ ッ ト ワ ー ク を介 して前記医療機関 3 か ら 患者に 関す る 情報 と 、 感染症診断機器に よ っ て計測 さ れた情報 と 、 患者 に関す る 地理情報を時系列 に収集す る 感染症検査デー タ ベース 8 と 、 時系列データ と して え ら れた データ 項 目 間の 関連を 評価す る データ マ イ ニ ン グエ ン ジ ン 1 0 と 、 検索ェ ン ジ ン 1 1 と を備 え 、 検索さ れた結果を 更に異な る切 り 口 か ら データ を層 別 して表示する こ と がで き る 。  As described above, the infectious disease diagnostic device is connected to the medical institution 3 which stores electronic in- strument data as electronic digital data via the communication network, and is connected via the communication network. A medical institution 3 that collects information on the patient from the medical institution 3, information measured by an infectious disease diagnostic device, and a geographical information on the patient in a time-series manner. , A data mining engine 10 that evaluates the association between data items obtained as time-series data, and a search engine 11 The results can be displayed in stratified data from further different cuts.
更 に、 地図情報データ ベース を有 し、 該地図情報 に基づい て デ イ ス プ レ イ 上 に表示 さ れた地図上の、 感染症患者 と 関連付け ら れて い る 地 理情報で示 さ れ る 位置 に、 感染症患者情報を表示す る 感染症コ ン ト 口 ールシステム と する こ と がで き る 。  In addition, it has a map information database, and is provided with geographic information associated with the infectious disease patient on a map displayed on the display based on the map information. Can be used as an infectious disease control system that displays infectious disease patient information at any location.
表示 さ れた地図情報の部分領域を指定す る 手段を有 し、 該手段に よ つ て拡大表示を可能 と した システム と する こ と がで き る 。  There is provided a means for designating a partial area of the displayed map information, and the system can be enlarged and displayed by the means.
表示 さ れて い る 感染症患者数情報を、 患者情報テー ブル項 目 と そ れ に関連する値 に よ っ て絞 り 込む手段 を有 し、 絞 り 込んだ結果 を デ ィ ス プレ イ 装置上に表示す る 感染症コ ン ト ロ ール シス テ ム と す る こ と がで き る 。  There is a means for narrowing the displayed number of infectious disease patients according to the patient information table items and their associated values, and the display device displays the narrowed results. It can be the infectious disease control system shown above.
通信ネ ッ ト ワ ー ク に接続さ れた端末か ら 入力 · 要求さ れた検索条件 に従っ て表示さ れる 図 を 、 該通信ネ ヅ ト ワ ー ク を介 して該端末に表示 する感染症コ ン ト ロ ールシステム と する こ と がで き る 。 表示 さ れて い る 地図情報上に指定された ラ ン ド マー ク （ 山、 川、 鉄 道、 百貨店、 学校、 学区、 町内 区な ど） を合成 して表示す る 感染症コ ン ト ロ ールシステム と する こ と がで き る 。 Infection that displays a figure displayed according to a search condition input and requested from a terminal connected to the communication network via the communication network, to the terminal via the communication network It can be used as a disease control system. An infectious disease controller that combines and displays the designated landmarks (mountains, rivers, railroads, department stores, schools, school districts, town wards, etc.) on the displayed map information. Control system.
以上の よ う に、 感染症を検査す る 設備 を有す る 医療機関 と 、 地域内 の感染症検査を実施す る 医療機関か ら 感染症検査の結果を集中管理す る感染症情報セ ン タ ー と、 そ れ ら を相互に接続す る通信ネ ッ ト ワ ー ク か ら な り 、 地図情報データ ベース を元に表示 さ れる 地図上 に、 感染症 患者の位置情報 に基づい た情報 を合成表示す る た め に、 感染症患者の 属性に感染症患者の位置情報を合わせて感染症情報セ ン タ ー に送付す る手段を設け る 。  As described above, an infectious disease information center that centrally manages the results of infectious disease tests from medical institutions that have facilities for testing infectious diseases and medical institutions that conduct infectious disease tests in the region And a communication network that connects them to each other, and displays information based on the location information of the infectious disease patient on a map displayed based on the map information database. For composite display, a means is provided to send the infectious disease patient's attributes to the infectious disease patient's attributes and send it to the infectious disease information center.
感染症の感染経路を特定す る た め に、 感染状況を地域の地図 と 関連 させて表示す る 手段を設け た。 ま た感染症の疫学的な分析 を行 う た め に、 感染経路 と な り う る 交通機関、 河川 な どの地形、 流通経路 と感染 症患者の位置を合成表示する手段を設ける 。  In order to identify the route of transmission of infectious diseases, a means was provided to display the status of infection in relation to a regional map. In addition, in order to conduct epidemiological analysis of infectious diseases, there will be provided a means for displaying the route of transportation, rivers and other terrain, distribution routes, and the location of infectious disease patients in a composite manner.
更 に感染症 に係 る 要因 と して 患者の年齢、 性別、 体格、 既往症な ど が考え ら れる 場合に、 それ ら の項 目 に よ っ て感染症患者のデータ を層 別 して地図情報 と合成表示する手段を設ける 。  If the age, gender, physique, and history of the patient are considered as factors related to the infectious disease, the data of the infectious disease patient is stratified according to those items, and the map information is obtained. And means for synthesizing and displaying.
時系列デー タ を リ アルタ イ ム で参照す る た め に、 データ ウ ェ アハ ウ ス を利用 し、 患者の属性や環境な どの要因 ご と に層別 さ れた多次元デ 一夕 ベース を設け、 感染症の発生原 因や蔓延の状況、 あ る い は各医療 機関か ら報告される検査結果を リ アルタ イ ムで表わす手段を設ける 。  In order to refer to time-series data in real time, we use a data warehouse to create a multi-dimensional data base that is stratified by factors such as patient attributes and environment. Provide a means to express in real time the causes of infection and the status of the spread, or the results of tests reported by each medical institution.
感染症情報 と地図情報は保健所な どの公的機関が使用 す る 以外 に、 個々 の 医療機関 において も感染症予防や、 感染症の流行予測 に よ る 医 薬品の準備な どを可能 と す る た め、 感染症情報セ ン 夕 一 に あ る感染症 データ と地図情報データ を通信ネ ッ ト ワ ー ク が接続さ れて い る端末か ら参照する手段を設ける 。  Infectious disease information and map information can be used not only by public institutions such as health centers, but also by individual medical institutions to prevent infectious diseases and prepare medicines by predicting the spread of infectious diseases. For this reason, a means will be provided to refer to the infectious disease data and map information data in the infectious disease information center from the terminal to which the communication network is connected.
図 2 に広域的感染症コ ン ト ロ ール シス テ ム に関連す る機関のネ ッ ト ヮ一ク 構成を示す。 関連する機関は通信ネ ヅ ト ワ ー ク 3 6 に よ っ て接 続さ れて お り 、 各機関は他の機関 と相互 に交信す る 手段を有する 。 通 信ネ ヅ ト ヮ 一 ク の例 と して はィ ン タ 一ネ ッ ト を想定 してい る が、 I SFigure 2 shows the network of organizations involved in the widespread infectious disease control system. Figure 1 shows the configuration. The related organizations are connected by a communication network 36, and each organization has a means for interacting with other organizations. An example of a communication network is an Internet network.
D N な どの公衆回線を使用 して I P プロ ト コ ルな どで通信す る ネ ッ ト ヮ一ク を用いて も 良い A network that communicates with the IP protocol using a public line such as a DN may be used.
信ネ ヅ ト ワ ーク に は感染症情報セ ン夕一 3 1 の ほかに、 感染症情 報を感染症情報セ ン 夕 —に送信す る 病院 3 4 や臨床検査セ ン 夕 一 3 5 な どの医療機関が接続さ れて い る 。 ま た感染症情報セ ン タ ー 3 1 に集 め ら れた感染症情報を利用す る機関 と して は、 感染症情報セ ン タ ー 内 で職員 が利用 し た り 、 各病院の診察室で 医師が使用 する こ と を想定 し て い る が、 地方衛生研究所 3 3 や保健所 3 2 な どが接続さ れて いて も 良い  In addition to the infectious disease information center 311, the hospital also sends infectious disease information to the infectious disease information center 31 and the clinical laboratory center 35. And other medical institutions are connected. Institutions that use the infectious disease information gathered in the Infectious Disease Information Center 31 can be used by staff members within the Infectious Disease Information Center or by consultations at hospitals. It is assumed that a doctor will use the room, but a local health research institute 33 or a health center 32 may be connected.
図 3 に通信ネ ヅ ト ワ ー ク 3 6 に接続さ れて い る 医療機関内 の L A N 5 1 の構成 と、 そ れに接続さ れて い る機器を 示す。 病院内の L A N は ゲ一ト ウ エ イ 5 0 を介 して通信ネ ヅ ト ワ ー ク に接続さ れて い る 。 こ の 基幹 L A N は病院内で 受付 · 管理室 4 1 、 診察室 4 2 、 感染症管理室 Fig. 3 shows the configuration of the LAN 51 in the medical institution connected to the communication network 36, and the devices connected to it. The LAN in the hospital is connected to the communication network via the gateway 50. This core LAN is accepted in the hospital.Administrative room 41, consultation room 42, infectious disease control room.
4 3 、 検査室 4 4 に敷設さ れて い る 。 受付 · 管理室 4 1 か ら は端末を 通 して検査オーダ リ ン グシス テ ム 5 2 に検査オーダ情報を入力 し、 感 染症情報室のサーバ 5 4 に入れ ら れ、 後に検査室 4 4 で参照 さ れる 。 検査室 4 4 で は、 患者か ら採取 した検体に対 して細菌検査あ る い は ゥ ィ ルス検査を 行い、 検査歯果 を感染症管理室 4 3 内 の検査情報サーバ4 3 It is laid in the examination room 4 4. From the reception / administration room 41, the test order information is input to the test ordering system 52 through a terminal, and is entered into the server 54 of the infectious disease information room. Referred to in. The laboratory 44 performs a bacterial test or a virus test on a sample collected from a patient, and transfers the test tooth decay to a test information server in the infectious disease control room 43.
5 4 に格納す る 。 細菌検査あ る い は ウ イ ルス検査は病院内 L A N に接 れてい る各種検査装置を用いて分析さ れる 。 Stored in 54. Bacterial or viral tests are analyzed using a variety of testing devices in contact with the hospital's LAN.
検査装置 と して はグラ ム染色検査装置 6 1 、 分離培養検査装置 6 2、 細菌同定検査装置 6 3 、血液培養検査装置 6 4 、遺伝子検査装置 6 5、 薬剤感受性検査装置 6 6 、 菌保管装置 6 7 、 免疫検査装置 （図示せず） な どがあ る 。 こ の う ち の一部の装置だ けで も 良 く 、 ま た 同 じ装置 を複 数用 いて も よ い 。 ま た、 こ れ ら の検査装置は必ず し も 院内 L A N に 直 接つ な がれて い る 必要はな く 、 例 え ばス タ ン ド ア ロ ーン装置 と して検 査を行い、 検査結果 を装置が有 す る フ 口 ッ ピ一デ ィ ス ク な どの記録媒 体に複写 して か ら 院内 L A N に接続さ れて い る 情報機器を用 いて、 検 査情報サ一バ 5 4 に格納 して も 良い し、 あ る い は検査装置 に プ リ ン 夕 が設置 さ れて い れば検査結果を一旦印刷 し、 院内 L A N に接続さ れて い る 情報機器か ら検査結果を入力 す る こ と に よ っ て検査情報サーバ に 格納 して も 良い。 Inspection devices include Gram stain inspection device 61, Separation and culture inspection device 62, Bacterial identification inspection device 63, Blood culture inspection device 64, Genetic inspection device 65, Drug sensitivity inspection device 66, Bacteria storage There are a device 67 and an immunoassay device (not shown). Only some of these devices may be used, and the same You can use a number. In addition, these inspection devices do not necessarily need to be directly connected to the hospital LAN.For example, the inspection is performed as a stand-alone device. The test results are copied to a recording medium such as a floppy disk that has the device, and the information is connected to the hospital LAN. 4 or print the test results once the printer is installed in the test device, and then print the test results from the information equipment connected to the hospital LAN. May be stored in the examination information server by inputting the.
診察室には診断用端末 5 3 が置かれて お り 、 担当 医師は感染症情報 セ ン タ ーのデー タ を 診察室に設置さ れた診断用端末で検索す る こ と が で き る 。  There is a diagnostic terminal 53 in the consulting room, and the doctor in charge can search the data of the infectious disease information center using the diagnostic terminal installed in the consulting room. .
感染症管理室 に設置 さ れて い る 検査情報サーバ 5 4 には、 検査情報 全て の検査情報が格納 さ れて い る 。 こ の他 に患者情報、 治療情報、 会 計情報な どが格納さ れてい る 。  The test information server 54 installed in the infectious disease control room stores all the test information. In addition, it stores patient information, treatment information, accounting information, and the like.
図 4 に感染症情報セ ン 夕 一 3 1 内 の シス テ ム構成を示す。 感染症情 報セ ン 夕 一に は病院 4 9 や臨床検査セ ン タ ー 3 5 か ら 送 ら れて く る 検 査結果を保存す る た め にデ一タ ウ ヱ ァハ ウ ス 7 2 が設置さ れてお り 、 こ の他 に地図情報データ べ一ス 1 5 と感染症分析用計算機 7 8 が設置 さ れて お り 、 セ ン夕 内 L A N 7 1 に よ っ て相互に接続さ れて い る 。 ま た L A N 7 1 は ゲー ト ウ ェ イ 5 0 を通 じて通信ネ ッ ト ワ ー ク 3 6 に接 続さ れて い る た め、 病院 4 9 や臨床検査セ ン タ 3 5 で得 ら れた患者の 検査デー タ を 受信す る こ と がで き、 ま た 当 セ ン タ に格納さ れた り 、 生 成さ れたデータ を送信する こ と がで き る 。  Fig. 4 shows the system configuration of the infectious disease information center. Infectious disease information center In the evening, a data buffer was used to store the test results sent from the hospital 49 and the laboratory test center 35. 2 and a map information database 15 and a computer 78 for infectious disease analysis are installed, and they are connected to each other by LAN 71 in Sendai. It is connected . Also, since LAN 71 is connected to communication network 36 through gateway 50, it can be obtained at hospital 49 or clinical laboratory center 35. You can receive the test data of the patient you have received, and send the data stored or generated in this center.
データ ゥ ヱ ァハ ウ ス 7 2 に は メ タ . データ を格納する た めのデー タ ベース 7 4 と 病原体や病院 · 検査セ ン タ ーな どの情報を管理する た め の リ レ ー シ ョ ナルデ一夕 ベース 7 6 と、 検査結果を 時系列 に保存 し た り 高速 に検索で き る よ う に設計 さ れた多次元データ ベース 7 5 (すな わ ち感染症データ べ一ス 8 ) があ り 、 こ れ ら は抽出 /変換ツ ール 7 3 に接続される 。 The database contains metadata, a database 74 for storing data and a release for managing information such as pathogens, hospitals, and testing centers. Narude Base 7 6 and a multidimensional database 7 5 (Sun) designed to store inspection results in chronological order and to enable high-speed search That is, there is an infectious disease data base 8), which is connected to the extraction / conversion tool 73.
各医療機関か ら送 ら れて く る 検査結果は、 同 じ項 目 が異な る 名称で 呼ばれて いた り 、 同 じ項 目 を異な る 手法で計測 し た ために直接比較で き な い場合があ る た め、 こ れ ら を揃 え る ク レ ン ジ ン グ と呼ぶ処理が必 要に な る 場合があ る 。 メ タ * デ一夕 7 4 は、 データ の ク レ ン ジ ン グす る た め のデータ ベース で あ り 、 異な る 名称で呼ばれて い る 項 目 の辞書 や、 異な る手法で計測 したデータ の換算方法を格納 している 。  Test results sent from each medical institution cannot be directly compared because the same item is called with a different name or the same item was measured by a different method In some cases, it may be necessary to perform a process called “cleaning” to align them. Meta * data is a database used to clean data, and was measured using a dictionary of items called under different names or using a different method. Stores the data conversion method.
リ レ ー シ ョ ナルデー タ ベース 7 6 には、 病院情報， 細菌情報， 薬剤 情報な どが格納 さ れて い る 。 病院情報は病院の位置， 科名 ， 診療設備 か ら な る 。 細菌情報は細菌の分類情報や遺伝子情報， 薬剤耐性情報 ， 画像情報な どが含ま れて い る 。 薬剤情報 に は使用方法ゃ耐性菌種な ど が含ま れる 。  The relational database 76 stores hospital information, bacterial information, drug information, and the like. Hospital information consists of the location of the hospital, the department name, and the medical facilities. Bacterial information includes bacterial classification information, genetic information, drug resistance information, and image information. The drug information includes the method of use, resistant strains, etc.
地図情報データ ペース 1 5 に は、 感染症情報セ ン タ が管理すべ き 地 方 ' 地区の地図情報が格納さ れて い る 。 地図情報には地形， 河川 ， 鉄 道， 道路， 航路， 航空路， 学校な どの施設や、 学区な どを含んで も よ く 、 それ ら の位置関係が記録されてい る 。  The map information database 15 stores the map information of the districts that should be managed by the infectious disease information center. The map information may include geographic features, rivers, railways, roads, roads, sea routes, air routes, schools, and other facilities, and school districts, and their positional relationships are recorded.
感染症分析用計算機 7 8 は地図情報データ ベース に格納 さ れて い る 地図情報を画面上に表示す る こ と がで き る 。 ま た表示中の地図情報上 で特定領域を指定 して拡大表示す る こ と がで き る が、 拡大領域の指定 方法 と して はポイ ンテ ィ ン グデバイ ス を始点か ら 終点ま で ド ラ ッ グ し て リ リ ース し た と こ ろ を終点 と し、 始点 と 終点を対角線 と し た領域を ウ イ ン ド ウの大き さ に合わせて表示する こ と がで き る 。  The infectious disease analysis computer 78 can display map information stored in the map information database on the screen. In addition, it is possible to specify a specific area on the displayed map information and enlarge it.However, the method of specifying the enlarged area is from the start point to the end point of the pointing device. It is possible to display the area where the lag and release are the end point, and the area where the start point and the end point are diagonal lines is adjusted to the size of the window.
感染症多次元データ ベース の例 を 図 5 に示す。 こ こ では検査デー タ は地域、 職業， 感染症の種類の 3 次元が示 さ れて い る が、 実際に は時 系列的 に 同 じ構造の 3 次元データ が保管 さ れて い る た め、 こ の 3 次元 に時間軸を加えた 4 次元デ一夕 が保管されている 。 多次元データ ベース上で感染症 A に関す る データ が検索 さ れる 場合 は図 6 に示す よ う に、 地域 と職業か ら な る 2 次元テー ブル 7 9 が得 ら れる 。 多次元データ ベース は感染症の Z 軸だ けで な く 、 地域軸や職業 軸で任意にテーブルを切 り 出すこ と がで き る 。 Figure 5 shows an example of a multidimensional infectious disease database. Here, the test data shows the three-dimensional data of the region, occupation, and type of infectious disease, but actually three-dimensional data of the same structure is stored in chronological order. The four-dimensional data, which is the three-dimensional data plus the time axis, is stored. When the data on infectious disease A is searched on the multidimensional database, a two-dimensional table 79 consisting of the region and the occupation is obtained as shown in Fig.6. The multidimensional database can cut out tables arbitrarily not only on the Z axis of infectious disease but also on the regional axis and occupation axis.
図 6 に示 し た感染症 A につ いて切 り 出 し た多次元データ ベース にお いて、 更 に地域を 関東地方 に絞 り 込んだ り 、 職業を例え ば、 学生な ど に絞 り 込む こ と がで き る 。 更 に時系列データ と して ま と めて感染症の 流行を調べる こ と がで き る 。  In the multidimensional database cut out for infectious disease A shown in Fig. 6, further narrow down the region to the Kanto region, or narrow down to occupations, for example, students. be able to . Furthermore, it is possible to examine the spread of infectious diseases as time series data.
次に 図 7 〜図 9 の フ ロ ーチ ャ ー ト を用 いて感染症コ ン ト ロ ール シ ス テムが どの よ う に動作する かを説明する 。  Next, how the infectious disease control system works will be described using the flowcharts of FIGS. 7 to 9.
図 7 は、 検査の実施か ら検査結果が感染症情報セ ン 夕 4 の データ ゥ エ アハ ウ ス 7 2 に格納 さ れる ま で の フ ロ ー を示す。 患者は病院 4 9 で 感染症検査を 受け る 場合、 検査オーダ リ ン グシ ス テ ム 5 2 に 患者情報 が登録さ れ、 症状に応 じ た検査項 目 が登録さ れる （ A 1 )。 こ の時、 患 者情報に は住所が入力 さ れる も の と す る が、 その代替情報 と して職場 や学校、 あ る い は感染症検査 を 受け よ う と して い る 病院の住所 を用 い る シ ス テ ム も 考え ら れる 。 次 に患者は検査項 目 に応 じて血液， 尿， 便 ， 組織な どの検体を採取さ れ、 そ の検体は検査項 目 情報 と共 に感染症検 査室に送 ら れる （ A 2 )。 感染症検査室では、 検査項 目 オーダ情報 と検 体を入手 し、 適当 な感染症検査装置 2 5 — 1 ~ 7 を用 いて検査を行い ( A 3 )、 検査結果を検査情報サーバ 2 4 に転送す る （ A 4 )。 そ の 日 に検査す る 全て の患者 につ いて検査が終了 す る ま で、 A 1 〜 A 4 を繰 り 返す （ A 5 )。 全て の患者に つ いて検査が終了 した時点で、 あ る いは その 日 の検査が終了 し た夜間な どの定め ら れた時刻 に な っ た ら 、 そ の 日 の検査データ を病院 4 か ら 通信ネ ッ ト ワ ーク 3 6 を介 して感染症情 報セ ン タ 1 に転送す る （ A 6 )。  Figure 7 shows the flow from the performance of the test to the storage of the test result in the data of the infectious disease information center 4 4 air house 72. When a patient undergoes an infectious disease test at the hospital 49, patient information is registered in the test ordering system 52, and test items corresponding to the symptoms are registered (A1). At this time, the address is entered in the patient information, but as an alternative, the address of the workplace, school, or hospital where the infectious disease test is going to be performed A system that uses this is also conceivable. Next, the patient collects samples such as blood, urine, stool, and tissue according to the test items, and sends them to the infectious disease laboratory with the test item information (A2). The infectious disease laboratory obtains the test item order information and the specimen, conducts a test using an appropriate infectious disease inspection device 25-1-7 (A3), and sends the test results to the test information server 24. Transfer (A4). Repeat A1 to A4 until the test is completed for all patients to be tested on that day (A5). When the examination has been completed for all patients, or at a specified time, such as at night when the examination for the day has been completed, the examination data for that day is sent from Hospital 4. The information is transferred to the infectious disease information center 1 via the communication network 36 (A6).
感染症情報セ ン 夕 1 におけ る 、 病院 4 か ら 送信さ れた検査結果デー 夕 の扱い につ い て 図 8 を用 いて説明する 。 病院 4 9 や臨床検査セ ン 夕 3 5 な どの医療機関か ら の検査結果データ を通信ネ ッ ト ワ ー ク 3 6 か ら 受信す る と （ B 1 )、 送付元の病院や通信 プロ ト コ ルか ら データ フ ォ 一マ ツ ト を読み取 り 、 決定す る （ B 2 )。 こ れは 医療機関 ご と に異な る 検査装置を使用 し た り 、 情報 シス テ ム ， 通信プロ ト コ ルが異な る た め にデータ の フ ォ ーマ ツ ト ゃデ一夕 の意味， 用語が異な る場合があ る た めで あ る 。 こ れを一元的 に管理す る ため に メ タ · データ 7 4 に よ っ て デー タ を解釈 して データ 変換 · 抽出 ツール 7 3 を用 いてデ一夕 を 変換 し （ B 3 )、 図 5 お よび図 6 で示 し た感染症データ ベース 8 に検査結果 を格納する 。 Test result data sent from Hospital 4 at Infectious Disease Information Center 1 The treatment of the evening will be described with reference to FIG. When test result data from a medical institution such as a hospital 49 or a clinical test center 35 is received from the communication network 36 (B1), the sending hospital or communication protocol is received. The data format is read from the call and determined (B2). This means that different medical institutions use different test equipment, and that the information systems and communication protocols are different, which means that the format of the data is important. May be different. In order to centrally manage this, the data is interpreted by the meta data 74 and the data is converted using the data conversion / extraction tool 73 (B3), and FIG. The test results are stored in the infectious disease database 8 shown in FIG.
感染症多次元データ ベース 3 5 を用いて分析を行 う 手順 を 図 9 に示 す。 最初 に表示す る 地域を指定 し （ C 1 )、 地図情報データ ベース 3 7 か ら 地域の地図情報を検索す る （ C 2 )。 次に表示す る 地域内の感染症 デ一夕 を多次元データ ベース か ら 検索する （ C 3 )。 こ の時、 病原デー 夕 は多次元デ一 夕 ペース を 1 回の順ア ク セ ス で検索で き る も の と す る 検索 さ れた感染症デ一夕 は検索条件を満たす全データ が取 り 込ま れる も の と し、 感染症の種類や患者の職業， 地域な どの絞 り 込み条件があ ればス テ ッ プ C 4 で集計する 。 こ の よ う に して得 ら れた感染症デ一 夕 には患者の住所 に 関す る 情報があ る ため、 地域ご と に ま と めて地図情 報に合成す る （ C 5 )。 例え ば都道府県ご と に感染症の発生件数あ る い は単位人 口 あ た り の発生件数 に よ っ て数値化 し、 一定値以上の都道府 県を表示する 際 に、 そ れ ら の数値幅 に対応 し た色分け を行 う 、 あ る い は都道府県近傍に棒グラ フ ， 円 グラ フ ， 発生地点の プロ ッ ト な どを描 画 して も よい （ C 6 )。  Figure 9 shows the procedure for performing analysis using the infectious disease multidimensional database 35. First, the area to be displayed is specified (C1), and the map information of the area is searched from the map information database 37 (C2). Next, search for infectious diseases in the region to be displayed from the multidimensional database (C3). At this time, the pathogenesis data can be searched at a multidimensional data pace with one sequential access.The retrieved infectious disease data is all data that satisfies the search conditions. Assuming that they will be included, if there are narrowing conditions such as the type of infectious disease, the occupation of the patient, and the region, the data will be tabulated in Step C4. Since there is information on the patient's address in the infectious disease data obtained in this way, they are combined into geographic information for each region (C5). For example, when quantifying the number of cases of infectious disease or the number of cases per unit of population per prefecture, when displaying prefectures with a certain value or more, those numbers are displayed. Color coding may be performed according to the numerical range, or bar graphs, pie graphs, plots of points of occurrence, etc. may be drawn near prefectures (C6).
仮説を設定 し、 合成 し た前記地図情報 に加えて合成 し、 更 に感染症 データ を加えて詳細な画面表示を行っ て検証する （ C 7 )。  A hypothesis is set, synthesized in addition to the synthesized map information, and further added with infectious disease data and displayed on a detailed screen for verification (C7).
地図上に示 さ れた感染症データ か ら は感染症の動向が読み取れない 場合に は、 集計方法 を 変更 して （ C 8 ) も よ い。 すなわ ち 特定の職業 や地域、 期間 を指定 して も よ い。 こ の場合に はス テ ッ プ C 8 か ら ス テ ッ プ C 4 の前 ま で戻っ て 集計処理 （ C 4 )、 感染症データ と地図情報 と の合成処理 （ C 5 )、 地図情報の表示 （ C 6 ) を繰 り 返す こ と に な る 。 集計方法の変更 と して は病原体の遺伝子情報に よ っ て グルー プ分け を する こ と も有効であ る 。 Infectious disease data cannot be read from infectious disease data shown on the map In this case, you can change the calculation method (C8). That is, you may specify a specific occupation, region, or period. In this case, the process returns from step C8 to step C4 and returns to the tabulation processing (C4), the synthesis processing of infectious disease data and map information (C5), and the map information The display (C6) will be repeated. As a change in the aggregation method, it is effective to perform grouping based on the genetic information of pathogens.
地図情報の 追加表示 （ C 9 ) を行い、 表示す る 地域を変更する か を 検討する （ C 1 0 )。  The additional display of map information (C9) is performed, and it is examined whether to change the displayed area (C10).
こ う して感染症データ の地図情報に対 して、 感染経路 と 想定さ れる 地図情報を追加する こ と は、 感染経路を特定する 上で有効で あ る 。 す なわ ち例 え ば、 鉄道の表示 と、 感染症患者の居住地の プロ ッ ト を 示す こ と に よ り 、 画面か ら こ の感染症の伝達 に鉄道が何 ら かの影響を与え てい る こ と が予想で き る ためであ る 。  Adding map information assumed to be the route of infection to the map information of the infectious disease data in this way is effective in specifying the route of infection. For example, by showing the railway display and showing the plot of the residence of the infectious disease patient, the railway has some influence on the transmission of this infectious disease from the screen. This can be expected.
広域的な感染症情報は、 表示地域を マ ウ ス な どの ポィ ン ト テ ィ ン グ デバイ ス を用 い て限定 し （限定地域）、 拡大する こ と に よ っ て よ り 詳細 な情報を得る こ とがで き る 。 （ C 1 0 )。  Widespread infectious disease information can be displayed in more detail by limiting the display area using a mouse or other pointing device (limited area) and enlarging it. Obtainable . (C10).
以上の構成 に よ れば、 感染症患者の発生地理情報 と 時系列的情報 と を含む感染症データ を データ ベース に保管 し、 地図情報に基づ く （広 域的） 地図 と 、 デー タ ベース に保管 さ れた感染症患者の発生地理情報 に基づ く 感染症患者の発生地情報 と を画面 に表示 し、 前記画面に、 仮 説 し た感染経路を合成 し た感染症合成表示 を行い、 かつデータ ベース に保管 さ れた感染症データ を加算な どの方法で用 い る こ と に よ っ て仮 説 し た感染経路の検証を行 う （広域的） 感染症情報表示方法が提供さ れる 。  According to the above configuration, infectious disease data including infectious disease patient's occurrence geographical information and time-series information is stored in a database, and a (wide-area) map based on map information and a database are stored. On the screen based on the geographical information of the infectious disease patients stored on the screen, and displays a combined infectious disease display that combines the hypothesized infection route on the screen. In addition, the hypothetical route of infection is verified by using the infectious disease data stored in the database in a way such as adding, etc. (wide area) A method for displaying infectious disease information is provided. Is
詳細表示の 必要がな い と き は仮説 し た設定情報を表示す る のみで も よい。  When the detailed display is not required, only the hypothetical setting information may be displayed.
感染症合成表示を 時系列的 に行 う 広域的感染症情報表示 と す る こ と が、 仮設設定のために、 お よび実証に と っ て望ま しい。 Performing infectious disease synthesis display in chronological order Wide area infectious disease information display However, it is desirable for temporary setting and for demonstration.
デー タ ペース は、 更に感染症患者の職業、 年齢あ る いは D N A情報 な どの多次元情報を保管する （広域的） 感染症情報表示方法が提供 さ れる 。  The database also provides a (wide) infectious disease information display method that stores multidimensional information such as occupation, age or DNA information of infectious disease patients.
感染症経路の仮説に、 多次元情報間の 関連の評価 を参照 し、 仮説を 絞 り 込んで行 く （広域的） 感染症情報表示方法が提供される 。  A method for displaying infectious disease information that narrows down the hypothesis by referring to the evaluation of the relationship between multidimensional information is provided for the hypothesis of the infectious disease route.
ま た、 感染症患者の発生地理情報 と 時系列的情報 と を含む感染症デ 一夕 を データ ベース に保管 し、 広域的地図 と 、 データ ベース に保管 さ れた感染症患者の発生地理情報に基づ く 感染症患者の発生地 と を画面 に表示 し、 前記画面 に、 仮説 し た感染経路を合成 し た感染症合成表示 を行い、 かつ仮説 し た感染経路を延長 し、 こ の延長 し た感染経路を含 む領域を画面表示する （広域的） 感染症情報表示方法が提供される 。  In addition, the database of infectious disease data, which includes information on the occurrence of infectious disease patients and time-series information, is stored in a database. The origin of the infectious disease based on is displayed on the screen, and the screen displays a combined infectious disease display that combines the hypothesized infection route, and extends the hypothesized infection route to extend the screen. A method for displaying infectious disease information on a screen (wide area) that displays an area including the infected route is provided.
ま た、 感染症患者の発生地理情報 と時系列的情報 と を含む感染症デ 一夕 を保管す る デー タ ベース と 、 広域的地図 と、 データ ベース に保管 さ れた感染症患者の発生地理情報 に基づ く 感染症患者の発生地情報 と を画面 に表示す る 画面表示装置 と 、 前記画面 に、 仮説 した感染経路の 表示 を 行 う 感染症合成表示装置 と を 含んで構成さ れる （広域的） 感染 症情報表示シス テム が提供される 。  In addition, a database that stores infectious disease data including information on the occurrence of infectious diseases and time-series information, a wide-area map, and an infectious disease patient's geography stored in the database A screen display device for displaying on the screen the location information of the infectious disease patient based on the information; and an infectious disease synthesis display device for displaying a hypothetical infection route on the screen. (Wide area) An infectious disease information display system will be provided.
感染症データ を画面上 に 出力 す る 手段を備 え る （広域的） 感染症情 報表示システム が提供さ れる 。  A (wide-area) infectious disease information display system is provided, which has means for outputting infectious disease data on the screen.
更 に、 感染症患者の発生地理情報 と時系列 的情報 と を含む感染症デ 一夕 を保管す る デ一夕 ベース と、 広域的地図 と、 データ ベース に保管 さ れた感染症患者の発生地理情報に基づ く 感染症患者の発生地情報 と を画面 に表示す る 画面表示装置 と 、 前記画面 に、 仮説 した感染経路の 表示 を行 う 感染症合成表示装置 と を 有 し、 前記画面表示装置は、 仮説 した感染経路の延長感染経路を含む領域を 画面表示す る （広域的） 感 染症情報表示システムが提供される 。 更 に、 外部の医療機関の保有す る 感染症患者の感染症データ を収集 する 通信情報収集装置 と 、 時系列データ と して得 ら れた感染症デー タ の多次元デー タ について データ 間の関連を評価す る データ マ イ ニ ン グ エ ン ジ ン と、 検索エ ン ジ ン と 、 検索さ れた結果を、 広域的地図 と、 仮 説 し た感染経路 と共に画面表示 を行 う 画面処理表示装置 と を含んで構 成さ れる （広域的） 感染症情報表示システ ムが提供さ れる 。 In addition, a database for storing infectious disease data including the geographical information and time-series information on the occurrence of infectious disease patients, a wide-area map, and the occurrence of infectious disease patients stored in the database A screen display device for displaying on the screen the location information of the infectious disease patient based on the geographical information; and an infectious disease synthesis display device for displaying the hypothesized infection route on the screen. The display device is provided with a (wide-area) infectious disease information display system that displays an area including an extended infection route on the hypothetical infection route on a screen. In addition, a communication information collection device that collects infectious disease data of infectious disease patients owned by an external medical institution, and multidimensional data of infectious disease data obtained as time-series data Screen processing to display the data mining engine to evaluate the association, the search engine, and the searched results along with a wide-area map and the hypothesized infection route A (wide-area) infectious disease information display system comprising a display device and is provided.
図 1 0 は、 感染症分析 を 受注す る 場合の フ ロ ー を示す。 分析方法は 図 9 に示す例 と 同 じで あ り 、 最終的 に分析結果の報告な ら びに納品 · 請求が発注 した顧客 （委託者） に対 して な さ れる 。  Figure 10 shows the flow for receiving an order for infectious disease analysis. The analysis method is the same as in the example shown in Fig. 9, and the analysis result is finally reported and the delivery and billing are performed for the customer (consignor) who ordered.
以上の構成に よ れば、 広域的地図 と 、 データ ベース に保管 さ れた感 染症患者の発生地理情報に基づ く 感染症患者の発生地情報 と を画面 に 表示 し、 前記画面に、 仮説 し た感染経路を合成 し た感染症合成表示 を 行い、 かつ感染症デー タ を用 い る こ と に よ っ て仮説 し た感染経路の検 証を行 う 。 こ れを有料受注す る 広域的感染症検証受注方法が提供 さ れ る 。  According to the above configuration, a wide-area map and information on the location of the infectious disease based on the geographical information of the occurrence of the infectious disease stored in the database are displayed on a screen. A hypothetical infection route is synthesized by displaying the hypothesized infection route, and the hypothesized infection route is verified by using infectious disease data. This will provide a widespread infectious disease verification ordering method for paying orders.
更 に、 広域的地図 と 、 デー タ ベース に保管 さ れた感染症患者の発生 地理情報に基づ く 感染症患者の発生地情報 と を画面に表示 し、 前記画 面に、 仮説 し た感染経路を合成 し た感染症合成表示を行い、 かつ感染 症データ を加算 して行 く こ と に よ っ て仮説 し た感染経路の検証を行い 仮説 した感染症経路を延長 し、 こ の延長 した感染経路を含む領域を 画 面表示 して有料受注する広域的感染症検証受注方法が提供さ れる 。  In addition, a wide-area map and the location information of the infectious disease patient based on the geographical information of the infectious disease patient stored in the database are displayed on the screen, and the hypothesized infection is displayed on the screen. The hypothetical route of infectious disease was verified by adding the infectious disease data to the infectious disease synthesis display that synthesized the route, and the hypothesized route of infectious disease was extended and extended. A wide-area infectious disease verification ordering method is provided, in which the area including the infection route is displayed on the screen and the order is paid.
図 1 1 は感染症コ ン ト ロ ールの画面表示の例 を 示 して い る 。 画面 を 地図情報表示部 8 1 と操作部 8 2 に分けて、感染症の分布を解析す る 。 地図情報表示部は初期表示 と して、 本シ ス テ ムで管理す る 地域全体の 地図 を表示 し、 そ の上 に感染症患者の分布 を 表示す る 。 表示す る 地域 は図 1 2 お よ び図 1 3 に示す よ う に、 マ ウ ス で指定 し た地域を拡大表 示す る こ と がで き、 地図 の尺度 に よ っ て表示 され る 地図情報の情報量 が増え て く る 。 例え ば、 日本全体を表示す る 場合に は、 都道府県の境 界ま で の情報 しか表示 し ない が、 地方別， 都道府県別 ， 市町村別な ど、 表示す る 地域が狭 く な る につ れて、 鉄道情報や、 河川 ， 建造物な どの 詳細な表示を仮説情報 と して採用する 。 Fig. 11 shows an example of the screen display of the infection control. The screen is divided into a map information display section 81 and an operation section 82 to analyze the distribution of infectious diseases. As an initial display, the map information display section displays a map of the entire area managed by this system, and displays the distribution of infectious disease patients on top of it. As shown in Fig. 12 and Fig. 13, the area to be displayed can be enlarged and displayed in the area specified by the mouse, and the map is displayed according to the scale of the map. Information volume of information Is increasing. For example, when displaying Japan as a whole, only information up to the border of prefectures is displayed, but the area to be displayed is narrower, such as by region, by prefecture, or by municipalities. Then, detailed information such as railway information, rivers, and buildings is adopted as hypothetical information.
操作部 8 2 には仮説設定の た め に使用 さ れ る ボタ ン 8 3 が設け ら れ る 。 感染経路 と して の仮設が、 航空路， 鉄道， 高速道路， 幹線道路， 一般道路， 河川 ， 湖沼 ， 学校 ， 学区 ， 工場あ る い は気象の推移な どが 選択さ れ、 設定さ れる 。 2 つ以上を設定 して も よい。  The operation unit 82 is provided with a button 83 used for setting a hypothesis. Temporary infection routes are selected and set, such as air routes, railways, highways, highways, highways, general roads, rivers, lakes, schools, school districts, factories, or weather conditions. Two or more may be set.
表示部 には地図上で表示す る 地図情報を選択す る 地図情報チ ェ ヅ ク ボ ッ ク ス と今後、 感染症が広 が る リ ス ク の高い地域を示す 「高 リ ス ク 地域表示ボタ ン」、 お よ び地図情報を初期表示に戻す 「ク リ ア」 ボタ ン があ る 。  In the display area, select the map information to be displayed on the map. The map information check box and the “high risk area display” that indicates the high risk areas where infectious diseases will spread in the future Button and a "Clear" button to return the map information to the initial display.
図 1 2 は地図情報データ ベース に格納さ れて い る 日 本列島 8 5 と 地 図情報 8 6 と 、 お よ び感染症の発生件数が多い都道府県 8 7 , 8 8 と を合成 して表示 した地図であ る 。 図 9 に示す例で は図面上は っ き り し ない が、 感染症の発生が一定の割合以下の ばあい に 白 地の ま ま 、 それ よ り も 発生が多いがあ る 一定基準以下の場合には淡い灰色、 発生が多 い と される基準以上の都県を濃い灰色で表わ してい る 。  Figure 12 shows a combination of the Japanese archipelago 85 and the map information 86 stored in the map information database, and the prefectures 87, 88 with the highest numbers of infectious diseases. This is the displayed map. The example shown in Fig. 9 is not clear on the drawing, but if the occurrence of infectious disease is below a certain rate, it will remain on a white background and the incidence will be more than that, below a certain standard In some cases, light gray color is used, and dark gray indicates prefectures that exceed the standard that is considered to be more frequent.
図 1 3 は図 9 にお い て ポイ ンテ ィ ン グデバイ ス を用いて指定さ れた 矩形領域を拡大表示 し た地図で あ る 。 都県の境界線が記さ れ、 感染症 の発症件数の多い県はハ ッ チ ン グさ れて い る 。 更に感染症が検出 さ れ た患者の住居に 口印 8 9 を表示 して あ る 。 ま た地図 に は鉄道 （仮に 中 央線） 9 ◦ が太線で記さ れて い る が、 こ れを感染症情報 と組み合わせ る こ と に よ り 、 鉄道が感染症の感染経路 と して何 ら かの役割 を果た と して い る こ と が予想 さ れ る 。 こ の よ う に鉄道が感染症の経路 と して仮 説設定される 。  Fig. 13 is a map in which the rectangular area specified using the pointing device in Fig. 9 is enlarged and displayed. The boundaries of the prefectures are marked, and the provinces with the highest incidence of infectious diseases are hatched. In addition, a seal 89 is displayed at the residence of the patient where the infectious disease was detected. On the map, the railway (tentatively the central line) 9 ◦ is marked with a bold line, and by combining this with infectious disease information, what is the railway's route as an infectious disease transmission route? It is anticipated that this has played a role. In this way, railways are hypothesized as routes of infectious diseases.
図 1 4 は図 1 3 を 時系列的 に 2 ヶ 月前， 1 ヶ 月 前， 現在で合成表示 を行っ て並べて表示 し た 図で あ る 。 こ れは 図 1 3 を生成す る た め の ァ ルゴ リ ズム を 実行する 際に、 C 4 か ら C 8 ま での感染症データ の集計 お よ び地図情報 と の合成図 を表示す る処理 に おい て、 デー タ を集計す る期間 を 2 ヶ 月 前， 1 ヶ 月 前お よ び現在の よ う に切 り 替え る こ と に よ つ て実現する こ と がで き る 。 こ の よ う な時系列の分布図 を 示す こ と に よ っ て 、 感染症が鉄道沿線か ら 徐々 に そ の周辺に広が り 、 隣接する 地 区に広がっ て い く 様子がわかる 。 感染症経路が検証される 。 Fig. 14 shows the composite of Fig. 13 in chronological order two months ago, one month ago, and now. This is the figure displayed side by side. This shows the aggregation of infectious disease data from C4 to C8 and a composite diagram with map information when executing the algorithm to generate Figure 13. This can be achieved by switching the data aggregation period to two months ago, one month ago, and the current time in the processing. By showing such a time-series distribution map, it can be seen that the infectious disease gradually spreads from along the railway to the surrounding area and then to the adjacent area. The route of infection is verified.
こ れに伴っ て 、 今後の感染症が広がる と 予想さ れる 領域が特定さ れ る 。  Accordingly, areas where infectious diseases are expected to spread in the future are identified.
図 1 5 は感染症患者 を年齢に よ っ て層別 し、 地図上に マ ッ ピ ン グ し た図で あ る 。 患者全体の分布は こ の地域一体に広 が っ て い る が小学校 児童で あ る 6 才か ら 1 2 才 ま で に 限っ て みれば、 小学校を 中心に感染 症患者が分布 して い る こ と がわか り 、 こ の 小学校が感染源で あ る と の 仮説を 立て る こ と がで き る 。 図 1 4 に示す よ う に して感染データ を加 算す る こ と に よ っ て感染源について の検証がな さ れる 。 こ れは図 1 5 を生成す る た め の アル ゴ リ ズム を実行す る 際 に、 データ の集計範囲 を 年齢別に分け る こ と に よ っ て実現する こ とがで き る 。  Figure 15 shows the infectious disease patients stratified by age and mapped on a map. The distribution of patients is widespread throughout the region, but if you are only an elementary school child from 6 to 12 years old, infectious disease patients are distributed mainly in elementary schools This makes it possible to hypothesize that this elementary school is the source of the infection. The source of the infection is verified by adding the infection data as shown in Fig.14. This can be achieved by categorizing the data by age when executing the algorithm to generate Figure 15.
感染源が特定さ れる と 今後の感染症が広が る と 予想さ れ る領域が特 定され、 更な る感染経路が仮設される こ と にな る 。  Once the source of the infection is identified, areas where future infectious diseases are expected to spread are identified, and additional routes of transmission will be provisionally established.
図 1 6 か ら 図 1 8 はあ る 市町村の地図 に感染症情報を表示 し、 そ れ それ鉄道， 道路， 河川 を次々 に切 り 替え て表示 し た例であ る 。 図 1 6 は鉄道 と感染症患者位置の表示、 図 1 7 は鉄道 と 感染症患者の表示、 図 1 8 は河川 と感染症患者の表示 を 示す。 図 1 1 に示 した操作部のチ エ ッ ク ボ ッ ク ス を鉄道， 一般道路， 河川 · 湖沼に切 り 替え る こ と に よ つ て得 ら れた 図で あ る 。 こ れ に よ り 、 河川 · 湖沼が本感染症の感染絰 路 と して疑わ しい こ と がわかる 。  Fig. 16 to Fig. 18 show examples in which infectious disease information is displayed on a map of a certain municipality, and railroads, roads, and rivers are switched one after another. Figure 16 shows railway and infectious disease patient locations, Figure 17 shows railway and infectious disease patients, and Figure 18 shows river and infectious disease patients. This is a diagram obtained by switching the check box of the operation unit shown in Fig. 11 to a railway, a general road, a river, a lake, or a marsh. This indicates that rivers and lakes are suspicious as a route of transmission of this infectious disease.
なお、 図 1 6 か ら 図 1 8 はチ ェ ッ ク ボ ッ ク スで指定さ れて い ない地 図情報 も 表示 さ れて い る 。 例 え ば鉄道チ ェ ッ ク ボ ッ ク ス が選択さ れた 場合に も道路や河川 の情報が表示 さ れ、鉄道は太線で表示 さ れて い る 。 こ の よ う に、 表示す る 情報を選択す る ので は な く 、 協調表示する こ と に よ っ て何が感染経路 と して疑わ しいか を 明確に し、 同時に他の情報 と の関係 も 比較で き る よ う に表示 して も 良い。 Figures 16 to 18 show areas not specified in the check boxes. Graphic information is also displayed. For example, even if the railway check box is selected, information on roads and rivers is displayed, and railways are displayed as bold lines. In this way, rather than selecting the information to be displayed, by cooperatively displaying it, it is clear what is suspected as an infection route, and at the same time, the relationship with other information. May be displayed so that they can be compared.
図 1 8 で図 1 1 の高 リ ス ト 地域表示ボタ ン が押 さ れる と、 河川 の流 れの方向 が表示 さ れ、 図 1 9 に示す よ う に今後感染症が広が る リ ス ク が高い川下の地域を表示 し、 感染症への注意 を促す。 すなわ ち、 仮説 した感染経路の延長感染経路を含む リ ス ク の高い領域 9 1 を 画面表示 して い る 。 すなわ ち 河川 の流れに伴 う リ ス ク の高い地域が注意を促す 領域 と して表示 さ れ る 。 他の感染経路につ いて も 同 じ ょ う に表示す る こ と に な る 。 こ の場合、 前述 し た画面表示装置 1 6 の機能が拡大 し、 画面処理表示装置 と な る 。  When the high list area display button in Fig. 11 is pressed in Fig. 18, the direction of river flow is displayed, and as shown in Fig. 19, the risk of infectious disease spreading in the future will increase. Show downstream areas with high risk and call attention to infectious diseases. That is, the high risk area 91 including the extended transmission route of the hypothetical transmission route is displayed on the screen. In other words, areas with high risks associated with river flows are displayed as areas that call attention. The same applies to other transmission routes. In this case, the function of the above-described screen display device 16 is expanded, and a screen processing display device is obtained.
図 2 0 は多 く の 島が密集す る 地域 と連絡船の航路 9 2 を示 した感染 症患者 と航路図で あ る 。 本図 に よ れば連絡船の航路 9 1 に そ っ て感染 症 Xが広が り つつ あ る こ と がわ か る 。 こ の場合に あ っ て も 、 仮説設定 お よび実証がな さ れる 。  Figure 20 is a route map with infectious disease patients showing the area where many islands are dense and the ferry route 92. According to this figure, it can be seen that infectious disease X is spreading along the ferry route 91. In this case, a hypothesis is set and verified.
図 2 1 は福岡空港 を 中心 と し た 国内線航空路 9 3 と空港位置 9 4 を 示 し た航空路 と感染図で あ る 。 こ こ で空港所在地 （都道府県） に お け る感染症患者数を 〇の大 き さ で表示 して い る 。 こ れに よ り 、 航空機に よ っ て感染患者が移動 してい る こ と が推測で き る 。  Figure 21 shows the domestic air route 93 centering on Fukuoka Airport and the air route showing the airport location 94 and the infection map. Here, the number of infectious disease patients at the airport location (prefecture) is indicated by the size of 〇. From this, it can be inferred that infected patients are moving by aircraft.

Claims

請 求 の 範 囲 The scope of the claims
1 . 感染症患者の発生地理情報 と 時系列的情報 と を含む感染症データ をデータ ベース に保管 し、 地図情報に基づ く 地図 と 、 データ ベース に 保管 さ れた感染症患者の発生地理情報に基づ く 感染症患者の発生地情 報 と を 画面に 表示 し、 前記画面 に、 仮説 し た感染経路を合成 した感染 症合成表示を 行い、 かつデー タ ベース に保管 さ れた感染症データ を用 いて仮説 した感染経路の検証 を行 う こ と を特徴 と す る 感染症情報表示 方法。 1. The infectious disease data including the outbreak geographical information and time-series information of infectious disease patients are stored in a database, a map based on the map information, and the infectious disease patient's geographical information stored in the database And information on the location of the infectious disease based on the infectious disease data stored on the screen. A method for displaying infectious disease information characterized by verifying the hypothetical route of infection using a computer.
2 . 感染症患者の発生地理情報 と 時系列的情報 と を含む感染症データ をデータ ベース に保管 し、 地図情報に基づ く 地図 と 、 デー タ ベース に 保管 さ れた感染症患者の発生地理情報に基づ く 感染症患者の発生地情 報 と を 画面に表示 し、 前記画面 に、 仮説 し た感染経路を合成 した感染 症合成表示を 行い、 かつデー タ ベース に保管 さ れた感染症データ を用 いて仮説 した感染経路の検証 を行い、 かつ感染症合成表示 を時系列的 に行 う こ と を特徴 と する感染症情報表示方法。 2. Store infectious disease data including the geographical information and time-series information of the infectious disease patients in a database, and create a map based on the map information and the infectious disease patient's geographic data stored in the database. Information on the infectious disease patient's location based on the information is displayed on the screen, and the screen displays a combined infectious disease display that combines the hypothesized infection route and the infectious disease stored in the database. A method for displaying infectious disease information, characterized by verifying the hypothesized infection route using data and performing infectious disease synthesis display in chronological order.
3 . 感染症患者の発生地理情報 と 時系列的情報 と を含む感染症データ をデー タ ベース に保管 し、 地図情報に基づ く 地図 と 、 デー タ ベース に 保管 さ れた感染症患者の発生地理情報に基づ く 感染症患者の発生地情 報 と を 画面 に 表示 し、 前記画面 に、 仮説 し た感染経路を合成 した感染 症合成表示を 行い、 かつデー タ ベース に保管 さ れた感染症データ を 用 いて仮説 した感染経路の検証を行い、 かつ データ ベース は、 更に感染 症患者の職業 ， 年齢あ る いは D N A情報な どの多次元情報 を保管す る こ と を特徴 と する感染症情報表示方法。  3. Store infectious disease data, including geographical information and time-series information, of infectious disease patients in a database, and create maps based on map information and infectious disease patients stored in the database. Infectious disease outbreak information based on geographical information is displayed on the screen, and the infectious disease synthesis display that combines the hypothesized infection route is displayed on the screen, and the infection stored in the database is displayed. The infectious disease is characterized by using the disease data to verify the hypothesized route of infection and storing the database with multidimensional information such as the occupation, age, and DNA information of the infectious disease patient. Information display method.
4 . 感染症患者の発生地理情報 と 時系列的情報 と を含む感染症デ一夕 をデータ ベース に保管 し、 地図情報に基づ く 地図 と 、 デー タ ベー ス に 保管 さ れた感染症患者の発生地理情報に基づ く 感染症患者の発生地情 報 と を画面に表示 し、 前記画面 に、 仮説 し た感染経路を合成 した感染 症合成表示を行い、 かつ感染症データ を用 いて仮説 した感染経路の検 証を 行い、 かつデータ ベース は、 更 に感染症患者の職業， 年齢あ る い は D N A情報な どの多次元情報を保管 し、 かつデータ ベース は、 更 に 感染症患者の職業， 年齢あ る い は D N A情報な どの多次元情報を保管 し、 感染症経路の仮説に、 多次元情報間の 関連の評価を参照 し、 仮説 を絞 り 込んで行 く こ と を特徴 と する広域的感染症情報表示方法。 4. Store infectious disease data including the geographical information and time-series information of the infectious disease patients in a database, maps based on map information, and infectious disease patients stored in a database Of Infectious Diseases Based on Geographic Information The information and are displayed on the screen, an infectious disease synthesis display that combines the hypothesized infection route is displayed on the screen, and the hypothesized infection route is verified using the infectious disease data, and the database is updated. Stores multi-dimensional information such as occupation, age or DNA information of infectious disease patients, and the database also stores multi-dimensional information such as occupation, age or DNA information of infectious disease patients A wide-ranging infectious disease information display method characterized by narrowing down hypotheses by referring to the evaluation of the relationship between multidimensional information in the hypothesis of the infectious disease route.
5 . 感染症患者の発生地理情報 と 時系列的情報 と を含む感染症データ をデータ ベース に保管 し、 地図情報 に基づ く 地図 と 、 デー タ ベース に 保管 さ れた感染症患者の発生地理情報に基づ く 感染症患者の発生地 と を画面に表示 し、 前記画面に、 仮説 した感染経路を合成 し た感染症合 成表示を 行い、 かつ仮説 した感染経路を延長 し、 こ の延長 し た感染経 路を含む領域を画面表示する こ と を特徴と する感染症情報表示方法。 5. Store the infectious disease data including the infectious disease patient's outbreak geographical information and time-series information in a database, and create a map based on the map information and the infectious disease patient's outbreak geography stored in the database. The screen displays the location and location of the infectious disease patient based on the information, displays an infectious disease synthesis display that combines the hypothesized infection route on the screen, and extends the hypothesized infection route, and extends this A method for displaying infectious disease information, characterized in that an area including the obtained infection route is displayed on a screen.
6 . 感染症患者の発生地理情報 と 時系列的情報 と を含む感染症デ一夕 をデ一夕 ベース に保管 し、 地図情報 に基づ く 地図 と 、 データ ベース に 保管 さ れた感染症患者の発生地理情報に基づ く 感染症患者の発生地情 報 と を画面に表示 し、 お よ び前記画面に、 仮説 し た感染経路を合成 し た感染症合成表示を行 う こ と を特徴と する感染症情報表示方法。 6. The infectious disease data including the geographical information and time-series information of the infectious disease patients are stored on an overnight basis, and the maps based on the map information and the infectious disease patients stored in the database are stored. On the screen, based on the outbreak geographical information of the infectious disease, and the infectious disease combined display that combines the hypothesized infection route on the screen. Infectious disease information display method.
7 . 感染症患者の発生地理情報 と 時系列的情報 と を含む感染症デ一夕 を保管す る データ ベース と、 地図情報に基づ く 地図 と、 データ ベース に保管 さ れた感染症患者の発生地理情報 に基づ く 感染症患者の発生地 情報 と を 画面 に表示す る 画面表示装置 と 、 前記画面に、 仮説 した感染 経路の表示を行 う 感染症合成表示装置 と を含んで構成さ れる こ と を特 徴と する広域的感染症情報表示システム。  7. A database that stores the infectious disease data including the geographical information and time-series information of the infectious disease patients, a map based on the map information, and a database of the infectious disease patients stored in the database. A screen display device for displaying on the screen the location information of the infectious disease patient based on the outbreak geographical information, and an infectious disease synthesis display device for displaying the hypothesized infection route on the screen. A wide-ranging infectious disease information display system that features
8 . 感染症患者の発生地理情報 と 時系列的情報 と を含む感染症データ を保管す る データ ベース と、 地図情報に基づ く 地図 と、 データ ベース に保管 さ れた感染症患者の発生地理情報に基づ く 感染症患者の発生地 情報 と を画面 に表示す る 画面表示装置 と 、 前記画面 に、 仮説 した感染 経路の表示を 行 う 感染症合成表示装置 と を含んで構成さ れ、 かつ感染 症デー タ を画面上 に 出力 す る 手段を備え る こ と を特徴 と す る 感染症情 報表示シ ス テ ム 。 8. A database that stores infectious disease data including the outbreak geographical information and time-series information of infectious disease patients, a map based on map information, and an infectious disease patient geography stored in the database Location of infectious disease patient based on information It comprises a screen display device for displaying information and on a screen, and an infectious disease synthesis display device for displaying a hypothetical infection route on the screen, and outputs infectious disease data on the screen. A system for displaying infectious disease information, characterized in that the system is provided with a means for carrying out infection.
9 . 感染症患者の発生地理情報 と 時系列的情報 と を含む感染症デー タ を保管す る データ ベース と、 地図情報に基づ く 地図 と、 デ一夕 ベース に保管 さ れた感染症患者の発生地理情報に基づ く 感染症患者の発生地 情報 と を画面 に表示す る 画面表示装置 と 、 前記画面 に、 仮説 した感染 経路の表示 を行 う 感染症合成表示装置 と を有 し、 前記画面表示装置は、 仮説 し た感染経路の延長感染経路を含む領域を画面表示す る こ と を 特 徴 と する感染症情報表示シ ス テ ム 。 9. A database that stores infectious disease data including the geographical information and time-series information of the infectious disease patients, a map based on the map information, and an infectious disease patient stored on a nightly basis A screen display device for displaying on the screen the location information of the infectious disease patient based on the outbreak geographical information of the infectious disease, and an infectious disease synthesis display device for displaying the hypothesized infection route on the screen. An infectious disease information display system, characterized in that the screen display device displays on a screen an area including an extended transmission route of a hypothetical transmission route.
1 0 . 外部の 医療機関の保有す る 感染症患者の感染症デー タ を収集す る通信情報収集装置 と 、 時系列データ と して 得 ら れた感染症データ の 多次元デ一夕 につ いて データ 間の 関連を評価 す る データ マ イ ニ ン グェ ン ジ ン と 、 検索エ ン ジ ン と、 検索さ れた結果 を、 地図情報 に基づ く 地 図及び仮説 し た感染経路 と共 に画面表示を行 う 表示装置 と を含んで構 成される こ と を特徴と する感染症情報表示シ ス テ ム。  A communication information collection device that collects infectious disease data of infectious disease patients from an external medical institution, and a multidimensional data collection of infectious disease data obtained as time-series data The data mining engine, which evaluates the relationship between the data and the search engine, and the search results are shared with the map based on map information and the hypothesized infection route. An infectious disease information display system, characterized by comprising a display device for displaying a screen on a screen.
1 1 . 地図情報に基づ く 地図 と、 デ一夕 ベース に保管さ れた感染症患 者の発生地理情報に基づ く 感染症患者の発生地情報 と を画面 に表示 し 前記画面 に、 仮説 し た感染経路を合成 し た感染症合成表示 を行い、 か つ感染症デー タ を用 いて仮説 し た感染経路の検証を行 う こ と を特徴 と する感染症検証受注方法。  1 1. The map based on the map information and the location information of the infectious disease patient based on the geographical information of the infectious disease patient stored on a nightly basis are displayed on the screen. An infectious disease verification ordering method characterized in that the infectious disease synthesis display is made by synthesizing the hypothesized infection route, and the hypothesized infection route is verified using the infectious disease data.
1 2 . 広域的地図 と 、 データ ベース に保管 さ れた感染症患者の発生地 理情報 に基づ く 感染症患者の発生地情報 と を 画面に表示 し、 前記画面 に、 仮説 した感染経路を合成 した感染症合成表示 を行い、 かつ感染症 データ を用いて仮説 し た感染経路の検証を行い、 仮説 した感染症経路 を延長 し、 こ の延長 し た感染経路を含む領域を画面表示す る こ と を 特 徴と する感染症検証受注方法 1 2. Display a wide-area map and the location information of the infectious disease patient based on the geographic information of the infectious disease patient stored in the database on the screen, and display the hypothesized infection route on the screen. The synthesized infectious disease display is performed, and the hypothesized infection route is verified using the infectious disease data, the hypothesized infection route is extended, and an area including the extended infection route is displayed on the screen. This is a special feature Infectious disease verification order
PCT/JP2001/000687 2001-01-31 2001-01-31 Method and system or displaying information about infectious disease and method for accepting order of analysis of infectious disease WO2002061647A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/JP2001/000687 WO2002061647A1 (en) 2001-01-31 2001-01-31 Method and system or displaying information about infectious disease and method for accepting order of analysis of infectious disease
JP2002561745A JPWO2002061647A1 (en) 2001-01-31 2001-01-31 Infectious disease information display method and system, and infectious disease analysis order receiving method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2001/000687 WO2002061647A1 (en) 2001-01-31 2001-01-31 Method and system or displaying information about infectious disease and method for accepting order of analysis of infectious disease

Publications (1)

Publication Number Publication Date
WO2002061647A1 true WO2002061647A1 (en) 2002-08-08

Family

ID=11736978

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2001/000687 WO2002061647A1 (en) 2001-01-31 2001-01-31 Method and system or displaying information about infectious disease and method for accepting order of analysis of infectious disease

Country Status (2)

Country Link
JP (1) JPWO2002061647A1 (en)
WO (1) WO2002061647A1 (en)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004015612A1 (en) * 2002-07-31 2004-02-19 Otto Carl Gerntholtz Infectious disease surveillance system
JP2005275708A (en) * 2004-03-24 2005-10-06 Nec Corp Common cold virus propagation information transmission system, common cold virus information center device, and common cold virus propagation information transmission method
JP2005345712A (en) * 2004-06-02 2005-12-15 Fujitsu Ltd Display method
JP2006277656A (en) * 2005-03-30 2006-10-12 Olympus Medical Systems Corp Medical support system
JP2009093617A (en) * 2007-09-14 2009-04-30 Gunma Univ Method and device for detecting bacteria abnormal accumulation, method and device for classifying antibiogram, method and device for forming two-dimensional carrier map, method and device for evaluating infection control index, and method and device for graphing warning score accumulation in detection of bacteria abnormal accumulation
JP2010524063A (en) * 2007-04-02 2010-07-15 カーン，カムラン System and method for predicting the global spread of infectious pathogens via private airplane travel
WO2012002435A1 (en) * 2010-06-30 2012-01-05 株式会社ニコン Infection spread prevention support system, infection spread prevention support server, examination terminal, mobile terminal and program
JP2013016110A (en) * 2011-07-06 2013-01-24 Ricoh Co Ltd Information providing system and program
JP2020027610A (en) * 2018-08-08 2020-02-20 パナソニックＩｐマネジメント株式会社 Information providing method, server, voice recognition device, information providing program, and information providing system
JP2021192021A (en) * 2020-06-05 2021-12-16 豊田合成株式会社 Medical mobility dedicated for infectious diseases
JP2022102810A (en) * 2020-12-25 2022-07-07 三菱電機株式会社 Influence estimation device and influence estimation program
JP2023028418A (en) * 2021-08-19 2023-03-03 ヤフー株式会社 Information processing device, information processing method, and information processing program

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11256543A (en) * 1998-03-13 1999-09-21 Hitachi Ltd Infection pathogen risk management mapping system
JP2000090424A (en) * 1998-09-10 2000-03-31 Nec Corp Perpendicular magnetic recording medium and magnetic recorder

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11256543A (en) * 1998-03-13 1999-09-21 Hitachi Ltd Infection pathogen risk management mapping system
JP2000090424A (en) * 1998-09-10 2000-03-31 Nec Corp Perpendicular magnetic recording medium and magnetic recorder

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7840421B2 (en) 2002-07-31 2010-11-23 Otto Carl Gerntholtz Infectious disease surveillance system
WO2004015612A1 (en) * 2002-07-31 2004-02-19 Otto Carl Gerntholtz Infectious disease surveillance system
JP2005275708A (en) * 2004-03-24 2005-10-06 Nec Corp Common cold virus propagation information transmission system, common cold virus information center device, and common cold virus propagation information transmission method
JP2005345712A (en) * 2004-06-02 2005-12-15 Fujitsu Ltd Display method
JP4604560B2 (en) * 2004-06-02 2011-01-05 富士通株式会社 Display method
JP2006277656A (en) * 2005-03-30 2006-10-12 Olympus Medical Systems Corp Medical support system
JP2010524063A (en) * 2007-04-02 2010-07-15 カーン，カムラン System and method for predicting the global spread of infectious pathogens via private airplane travel
JP2013101675A (en) * 2007-09-14 2013-05-23 Gunma Univ Anti-biogram classification method and device, two-dimensional carrier map preparation method and device, and evaluation method and device of infection measure index
JP2009093617A (en) * 2007-09-14 2009-04-30 Gunma Univ Method and device for detecting bacteria abnormal accumulation, method and device for classifying antibiogram, method and device for forming two-dimensional carrier map, method and device for evaluating infection control index, and method and device for graphing warning score accumulation in detection of bacteria abnormal accumulation
WO2012002435A1 (en) * 2010-06-30 2012-01-05 株式会社ニコン Infection spread prevention support system, infection spread prevention support server, examination terminal, mobile terminal and program
JP2013016110A (en) * 2011-07-06 2013-01-24 Ricoh Co Ltd Information providing system and program
JP2020027610A (en) * 2018-08-08 2020-02-20 パナソニックＩｐマネジメント株式会社 Information providing method, server, voice recognition device, information providing program, and information providing system
JP7422308B2 (en) 2018-08-08 2024-01-26 パナソニックＩｐマネジメント株式会社 Information provision method, server, voice recognition device, and information provision program
JP2021192021A (en) * 2020-06-05 2021-12-16 豊田合成株式会社 Medical mobility dedicated for infectious diseases
JP7368925B2 (en) 2020-06-05 2023-10-25 豊田合成株式会社 Medical mobility for infectious diseases
JP2022102810A (en) * 2020-12-25 2022-07-07 三菱電機株式会社 Influence estimation device and influence estimation program
JP7407698B2 (en) 2020-12-25 2024-01-04 三菱電機株式会社 Impact estimation device and impact estimation program
JP2023028418A (en) * 2021-08-19 2023-03-03 ヤフー株式会社 Information processing device, information processing method, and information processing program

Also Published As

Publication number Publication date
JPWO2002061647A1 (en) 2004-06-03

Similar Documents

Publication Publication Date Title
Knighton et al. Introduction of an area deprivation index measuring patient socioeconomic status in an integrated health system: implications for population health
Dwyer et al. Unplanned transfer to emergency departments for frail elderly residents of aged care facilities: a review of patient and organizational factors
Pliakas et al. Optimising measurement of health-related characteristics of the built environment: Comparing data collected by foot-based street audits, virtual street audits and routine secondary data sources
Kan et al. Prospective analysis of traffic exposure as a risk factor for incident coronary heart disease: the Atherosclerosis Risk in Communities (ARIC) study
Hernández-Ávila et al. Nation-wide, web-based, geographic information system for the integrated surveillance and control of dengue fever in Mexico
Krieger et al. Geocoding and measurement of neighborhood socioeconomic position: a US perspective
Peipins et al. Time and distance barriers to mammography facilities in the Atlanta metropolitan area
WO2002061647A1 (en) Method and system or displaying information about infectious disease and method for accepting order of analysis of infectious disease
JPWO2019208123A1 (en) Pathogen distribution information provision system, pathogen distribution information provision server and pathogen distribution information provision method
Edwards et al. Geocoding Large Population‐level Administrative Datasets at Highly Resolved Spatial Scales
Hughes et al. Emergency department syndromic surveillance systems: a systematic review
Mohammadi et al. Developing a minimum data set for an information management system to study traffic accidents in Iran
O'Dwyer et al. Potential meets reality: GIS and public health research in Australia
Hirschfield et al. The spatial analysis of community health services on Wirral using geographic information systems
Oyana et al. Spatial relationships among asthma prevalence, health care utilization, and pollution sources in neighborhoods of Buffalo, New York
Yildirim et al. The relationship between sound and amenities of transit-oriented developments
Ma et al. Implementation of laboratory order data in BioSense early event detection and situation awareness system.
Lavergne Identifying distinct geographic health service environments in British Columbia, Canada: cluster analysis of population-based administrative data
Haque et al. Using business intelligence for efficient inter-facility patient transfer
Khalique et al. Spatio-temporal investigations of dengue fever in Pakistan through an HL7 based public health framework for hotspot analysis
Alhomaidhi Geographic distribution of public health hospitals in Riyadh, Saudi Arabia
Jo et al. Sub-district level correlation between tuberculosis notifications and socio-demographic factors in Dhaka City corporation, Bangladesh
Hunter et al. Computer vision, causal inference and public health modelling approaches to generate evidence on the impacts of urban planning in non-communicable disease and health inequalities in UK and Australian cities: A proposed collaborative approach
Oyedepo et al. Spatial decision support for health system development in Ogun State Nigeria
Osiecki et al. Adult Chronic Respiratory Disease in Rural Versus Urban Areas: Is Age of Housing an Environmental Justice Issue?

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A1

Designated state(s): BR CN IN JP US

AL Designated countries for regional patents

Kind code of ref document: A1

Designated state(s): AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE TR

DFPE Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101)
121 Ep: the epo has been informed by wipo that ep was designated in this application
WWE Wipo information: entry into national phase

Ref document number: 2002561745

Country of ref document: JP

122 Ep: pct application non-entry in european phase