CN105740615A - Method for tracking infection sources and predicting trends of infectious diseases by utilizing mobile phone tracks - Google Patents
Method for tracking infection sources and predicting trends of infectious diseases by utilizing mobile phone tracks Download PDFInfo
- Publication number
- CN105740615A CN105740615A CN201610060508.XA CN201610060508A CN105740615A CN 105740615 A CN105740615 A CN 105740615A CN 201610060508 A CN201610060508 A CN 201610060508A CN 105740615 A CN105740615 A CN 105740615A
- Authority
- CN
- China
- Prior art keywords
- mobile phone
- data
- infection
- track
- new infections
- Prior art date
- Legal status (The legal status 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 status listed.)
- Granted
Links
- 208000015181 infectious disease Diseases 0.000 title claims abstract description 89
- 238000000034 method Methods 0.000 title claims abstract description 44
- 208000035473 Communicable disease Diseases 0.000 title claims abstract description 19
- 230000005541 medical transmission Effects 0.000 claims abstract description 23
- 201000010099 disease Diseases 0.000 claims abstract description 14
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 14
- 230000002265 prevention Effects 0.000 claims abstract description 9
- 230000000007 visual effect Effects 0.000 claims description 15
- 238000004891 communication Methods 0.000 claims description 6
- 239000000284 extract Substances 0.000 claims description 6
- 238000012800 visualization Methods 0.000 claims description 6
- 206010035148 Plague Diseases 0.000 claims description 3
- 241000607479 Yersinia pestis Species 0.000 claims description 3
- 150000001875 compounds Chemical class 0.000 claims description 3
- 239000003550 marker Substances 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 abstract description 5
- 230000008569 process Effects 0.000 description 8
- 230000036541 health Effects 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 208000032163 Emerging Communicable disease Diseases 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000002955 isolation Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000005180 public health Effects 0.000 description 2
- 206010045178 Tunnel vision Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013144 data compression Methods 0.000 description 1
- 238000013079 data visualisation Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 230000006806 disease prevention Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 244000052769 pathogen Species 0.000 description 1
- 230000001717 pathogenic effect Effects 0.000 description 1
- 230000000246 remedial effect Effects 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 239000002356 single layer Substances 0.000 description 1
- 238000003307 slaughter Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 238000002255 vaccination Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses a method for tracking infection sources and predicting trends of infectious diseases by utilizing mobile phone tracks. The method comprises the following steps: acquiring new infected person data from a disease control and prevention center to obtain new infected persons; acquiring mobile phone traffic data and related base station data of the new infected persons in periods of time before and after the attack; carrying out track visualized analysis on the mobile phone traffic data and the related base station data of the new infected persons on a geographic information system platform; and analyzing the high-danger areas and crowds with infectious disease transmission, and predicting the trends of the infectious diseases. According to the method disclosed in the invention, the mobile phone tracks of the new infected persons and the geographic information system are combined, so that the regions through which the infection sources pass and the environmental conditions of the regions can be rapidly and correctly judged, the high-danger areas and crowds can be determined and prevention and control measures can be adopted in time.
Description
Technical field
The present invention relates to the prevention of infectious disease and control field, particularly relate to a kind of method utilizing the mobile phone trajectory track source of infection and prediction disease transmission trend.
Background technology
At present, China is mainly focused on the isolation etc. to the control suffering from patient and high-risk group for " remedial " measure of emerging infectious disease, but some disease is because the feature of spread path, and potential high-risk group is widely distributed, and the source of disease of infectious disease determines that the prediction with fashion trend is comparatively difficult.In the past for the judgement of infectious disease transmission mode, by clinical symptoms and Epidemiological study, have tunnel vision, process is complicated, the used time is longer, and be likely to not study result.
GIS-Geographic Information System (GIS) is a kind of specific system, refer to that computer is under hardware and software are supported, the relevant geographic distribution data in earth surface (including atmosphere) space all or in part is acquired, stores, manages, computing, analyze, be shown and described and the technological system of aid decision.The process of GIS-Geographic Information System, management to as if multiple geospatial entity data and relation thereof, including space orientation data, graph data, remote sensing image data, attribute data etc., for analyzing and process various phenomenons and the process of distribution in certain geographic area, solve the planning of complexity, decision-making and problem of management.
GIS is widely used in the research in multiple field due to its powerful function, and reaps in abundant.GIS is applied to field of public health abroad very early, also begins to obtain using the such as CDC such as Hangzhou and Jinan to be assembled with GIS for control and prevention of disease widely at China's field of public health in recent years.Current GIS has been applied to the many aspects such as pandemic preparedness control, disease surveillance, Health Resource, health need, health education, community sanitary evaluation, Environmental Monitoring and Assessment and has achieved good effect.
The ArcGIS commercial GIS platform of research and development (U.S. environment system research institute): ArcGIS product line provide the user one telescopic, comprehensive GIS platform.ArcObjects contains substantial amounts of programmable component, it is extremely wide that object (such as mutual with existing ArcMap document map object) from fine-grained object (such as single geometric object) to coarseness relates to face, and these objects are integrated with comprehensive GIS function for developer.Each uses the ArcObjects ArcGIS product built up to provide the container of an application and development for developer, including desktop GIS (ArcGISDesktop), Embedded GIS (ArcGISEngine) and service end GIS (ArcGISServer).
Apriori algorithm is the algorithm of the most influential a kind of Mining Boolean Association Rules frequent item set.Its core is based on two benches frequency and collects the recursive algorithm of thought.This correlation rule belongs to one-dimensional, monolayer, Boolean Association Rules in classification.Here, all supports are called frequent item set more than the item collection of minimum support, are called for short frequency collection.
At present, China mobile phone user has reached 900,000,000 more than, the prosperity of the universal and modern cell phones location technology of mobile communication, mobile phone signal is collected thus analyzing useful information for us, track is visualized, for us, mobile phone signal is applied to area of infectious disease as location instrument, the health and fitness information of the positional information of user Yu user is connected, provide a kind of new method for the prevention of infectious disease and control.
Summary of the invention
Present situation that combined handset communication of the present invention is universal and modern cell phones location technology, utilize GIS-Geographic Information System that the propagation of the source of infection and infectious disease carries out quickly location and following the trail of, by modern cell phones communication first Application to on the tracking of infectious disease and controlling.
The present invention proposes a kind of method utilizing the mobile phone trajectory track source of infection and prediction disease transmission trend, including step:
S1: from Disease Control and Prevention Center's person's data that obtain new infections, it is determined that described new infections person is the source of infection；
S2: the mobile phone traffic data in a period of time and associated base stations data thereof after obtaining described new infections person's premorbid and falling ill；
S3: described mobile phone traffic data and associated base stations data are carried out in GIS platform the track visual analyzing of new infections person；
S4: analyze high risk zone and the crowd of disease transmission, it was predicted that disease transmission trend.
Further, a period of time described in step S2 is one week to two weeks.
Further, the mobile phone traffic data of new infections person described in step S2 includes the time of user's trigger traffic, user communication business type and ID users；Described associated base stations data include the base station location region recognition number relevant to described mobile phone traffic data and base station section station location marker number.
Further, GIS platform described in step S3 is ArcGIS Visualization Platform.
Further, step S3 includes step: adopt Apriori algorithm that described mobile phone traffic data and associated base stations data carry out the track visual analyzing of new infections person on ArcGIS Visualization Platform.
Further, step S3 includes step:
S31: track characteristic extracts, and mobile phone traffic data and associated base stations data are carried out pretreatment, the trip feature of the person that draws new infections and dwell point thereof；
Pretreated data are inputted described GIS platform by S32: visual analyzing, carry out new infections person and go on a journey the visual analyzing of track data.
Closer, step S32 includes the semantization of location data, and the semantization of location data includes step:
S321: the semantization of track data geographic location；
S322: dwell point is extracted and track semantization.
Further, step S4 includes step: infer its infection time and place according to the mobile phone track of single new infections person, is learnt possible plague area and the initial source of infection by the mobile phone track similitude of different new infections persons.
Further, predicting the fashion trend of infectious disease described in described step S4, its method includes but not limited to single-population method, compound population method and the one in microscopic individual method or its combination.
The beneficial effects of the present invention is, the present invention utilizes the mobile phone trajectory track source of infection and the method for prediction disease transmission trend, by the mobile phone track combining geographic information system of new infections person, area and the environmental aspect of source of infection process can be judged quickly and accurately, be conducive to determining high risk zone and crowd, take prevention and control measure in time.
Accompanying drawing explanation
Fig. 1 is the method flow diagram of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.
Referring to Fig. 1, the present invention utilizes the mobile phone trajectory track source of infection and the method for prediction disease transmission trend, including step:
S1: from Disease Control and Prevention Center's person's data that obtain new infections, it is determined that described new infections person is the source of infection；
S2: obtain after described new infections person's premorbid and morbidity in a period of time mobile phone traffic data and associated base stations data；
S3: described mobile phone traffic data and associated base stations data are carried out in GIS platform the track visual analyzing of new infections person；
S4: analyze high risk zone and the crowd of disease transmission, it was predicted that disease transmission trend.
In step s 2, linked up by common carrier such as China Mobile, CHINAUNICOM and China Telecom etc., after the person's premorbid that can obtain new infections and morbidity, a period of time is such as the mobile phone traffic data in a week to two week, and the mobile phone traffic data of described new infections person includes the time of user's trigger traffic, user communication business type and ID users；Described associated base stations data include the base station location region recognition number relevant to described mobile phone traffic data and base station section station location marker number.
In step s3, described GIS platform can adopt ArcGIS Visualization Platform, and adopts Apriori algorithm that described mobile phone traffic data and associated base stations data are carried out the track visual analyzing of new infections person on ArcGIS Visualization Platform.
Step S3 includes step S31 and step S32.
Step S31: track characteristic extracts, and mobile phone traffic data and associated base stations data thereof are carried out pretreatment, the trip feature of the person that draws new infections and dwell point thereof.Use the clustering algorithm of room and time, mobile phone traffic data and associated base stations data thereof are carried out pretreatment, the dwell point that new infections person is had Special Significance can be extracted, the resident user of being often referred to stops the region exceeding certain time at certain geospatial area, new infections person is often had special meaning by such region, so also referred to as point of interest or region-of-interest.
Pretreated data are inputted described GIS platform by step S32: visual analyzing, carry out new infections person and go on a journey the visual analyzing of track data.For ArcGIS visual analyzing platform, unified for pretreated data input Access data base's unified management, it is achieved new infections person goes on a journey the visual analyzing of track data.Then position the semantization (semantic track: comprise people and move reason and mobile approach relevant information) of data, provide abundant Information base for further digging user track
Wherein, step S32 includes the semantization of location data, and the semantization of location data includes step S321 and step S322.
Step S321: the semantization of track data geographic location.Carry out semantization based on POI data geographical position: from map datum manufacturer, such as high moral map etc., obtain POI keyword either directly through buying.Select all geographical position relevant with the infectious disease source of infection and propagation model in region, such as birds trade market, slaughterhouse, zoo, agriculture and animal husbandry field etc., shown by spaces union with the application data (social economy's level, population mobility, social mores feature etc.) and environmental geography background data (climate characteristic, animal distribution, water source distribution etc.) with realistic meaning, it is achieved geographical position semantic makes label substance and infectious disease closely related.
Step S322: dwell point is extracted and track semantization.Extract track dwell point, the starting point of prominent new infections person trip and destination, obtain the resident position of new infections person, it is achieved data compression, reduce hash amount.Time threshold is set and capacity-threshold extracts dwell point, then extract the geographical semantics information obtaining the centre of location, infer the trip rule of this new infections person.
In step s 4, area and the environmental aspect of its process can be inferred according to the mobile phone track of single new infections person, learn possible plague area and the initial source of infection by the mobile phone track similitude of different new infections persons.The method being predicted the fashion trend of infectious disease for different types of infectious disease includes but not limited to single-population method, compound population method and the one in microscopic individual method or its combination.Utilize these existing achievements in research, propagation model can be set up, it was predicted that its fashion trend.
By the visual analyzing of mobile phone track data as a result, it is possible to the source of infection to be accomplished early discovery, early isolation, early treatment, cut off route of transmission, protect Susceptible population, breaking out of control infectious disease.The method that the outburst of control infectious disease can be taked includes the resident place on environment ArcMap (providing geographic information data visualization interface and data analysing method in ArcMap:ArcGIS) is carried out dissipation, slaughters and eliminates the animal that there is the risk that spreads disease；Determine Susceptible population, carry out early intervention (mode such as vaccination, health monitoring, communication and education)；Analyze the source of infection and the route of transmission of emerging infectious disease, provide instruction for epidemic prevention and control.
Disease transmission is the process of one occurred in crowd complicated diffusion, from finding disease, determine pathogen, determining route of transmission and spread path, it is controlled to disease, it is a very long process at present, traditional method, after finding the source of infection, generally carries out questionnaire survey, analyzes the place that patient went, so expending a large amount of manpowers, use duration, result inaccurate, this stage has often missed the good opportunity of many control diseases.And the technical approach of the present invention is the data gone on a journey by mobile phone, can fast and effeciently recognize trip feature and the route of primary infection person, in particular cases the source of infection can also be carried out Real-time and Dynamic tracking, timely and effectively its people contacted and ground are carried out Disease Intervention, not only accurately facilitate, also save substantial amounts of a large amount of manpower, material resources and financial resources.
In prior art to the source of infection follow the trail of the hand data collection adopted, the subjective judgment of the individual that may adulterate in being described by the interview of respondent or forgotten memory etc. so that the data of collection are not accurate enough, not comprehensively, subjective not.And technical scheme directly can obtain data from data set provider third party, and then data are analyzed, so substantially increase the credibility of data.Meanwhile, in traditional method, staff generally requires disease scene remove real-time investigation when gathering data, is exposed under disease settings, the close contact source of infection and add risk of catching an illness.And technical scheme makes staff directly third party can be provided to intercept data in the data of cooperation, this has ensured the safety of staff.
The above is the preferred embodiment of the present invention; it should be pointed out that, for those skilled in the art, under the premise without departing from the principles of the invention; can also making some improvements and modifications, these improvements and modifications are also considered as protection scope of the present invention.
Claims (9)
1. utilize the mobile phone trajectory track source of infection and the method for prediction disease transmission trend, it is characterised in that include step:
S1: from Disease Control and Prevention Center's person's data that obtain new infections, it is determined that described new infections person is the source of infection；
S2: the mobile phone traffic data in a period of time and associated base stations data thereof after obtaining described new infections person's premorbid and falling ill；
S3: described mobile phone traffic data and associated base stations data are carried out in GIS platform the track visual analyzing of new infections person；
S4: analyze high risk zone and the crowd of disease transmission, it was predicted that disease transmission trend.
2. utilize the mobile phone trajectory track source of infection and the method for prediction disease transmission trend as claimed in claim 1, it is characterised in that a period of time described in step S2 is one week to two weeks.
3. utilize the mobile phone trajectory track source of infection and the method for prediction disease transmission trend as claimed in claim 1, it is characterized in that, the mobile phone traffic data of new infections person described in step S2 includes the time of user's trigger traffic, user communication business type and ID users；Described associated base stations data include the base station location region recognition number relevant to described mobile phone traffic data and base station section station location marker number.
4. utilize the mobile phone trajectory track source of infection and the method for prediction disease transmission trend as claimed in claim 1, it is characterised in that GIS platform described in step S3 is ArcGIS Visualization Platform.
5. utilize the mobile phone trajectory track source of infection and the method for prediction disease transmission trend as claimed in claim 4, it is characterized in that, step S3 includes step: adopt Apriori algorithm that described mobile phone traffic data and associated base stations data carry out the track visual analyzing of new infections person on ArcGIS Visualization Platform.
6. utilize the mobile phone trajectory track source of infection and the method for prediction disease transmission trend as claimed in claim 1, it is characterised in that step S3 comprises the following steps:
S31: track characteristic extracts, and mobile phone traffic data and associated base stations data are carried out pretreatment, the trip feature of the person that draws new infections and dwell point thereof；
Pretreated data are inputted described GIS platform by S32: visual analyzing, carry out new infections person and go on a journey the visual analyzing of track data.
7. utilize the mobile phone trajectory track source of infection and the method for prediction disease transmission trend as claimed in claim 6, it is characterised in that step S32 includes the semantization of location data, and the semantization of location data includes step:
S321: the semantization of track data geographic location；
S322: dwell point is extracted and track semantization.
8. utilize the mobile phone trajectory track source of infection and the method for prediction disease transmission trend as claimed in claim 1, it is characterized in that, step S4 includes step: infer its infection time and place according to the mobile phone track of single new infections person, is learnt possible plague area and the initial source of infection by the mobile phone track similitude of different new infections persons.
9. utilize the mobile phone trajectory track source of infection and the method for prediction disease transmission trend as claimed in claim 1, it is characterized in that, predicting the fashion trend of infectious disease described in described step S4, its method includes but not limited to the one in single-population method, compound population method and microscopic individual method or its combination.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610060508.XA CN105740615B (en) | 2016-01-28 | 2016-01-28 | Utilize the method for the mobile phone trajectory track infection sources and prediction disease transmission trend |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610060508.XA CN105740615B (en) | 2016-01-28 | 2016-01-28 | Utilize the method for the mobile phone trajectory track infection sources and prediction disease transmission trend |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105740615A true CN105740615A (en) | 2016-07-06 |
| CN105740615B CN105740615B (en) | 2018-10-16 |
Family
ID=56246855
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610060508.XA Active CN105740615B (en) | 2016-01-28 | 2016-01-28 | Utilize the method for the mobile phone trajectory track infection sources and prediction disease transmission trend |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105740615B (en) |
Cited By (70)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107133901A (en) * | 2017-05-05 | 2017-09-05 | 中国科学院深圳先进技术研究院 | A kind of infectious disease preventing control method and system |
| CN107256327A (en) * | 2017-05-05 | 2017-10-17 | 中国科学院深圳先进技术研究院 | A kind of infectious disease preventing control method and system |
| CN108695003A (en) * | 2018-08-07 | 2018-10-23 | 中山市徕康医疗信息软件技术有限公司 | A kind of cloud management system and method that fever epidemic situation monitors and traces to the source |
| CN108986921A (en) * | 2018-07-04 | 2018-12-11 | 泰康保险集团股份有限公司 | Disease forecasting method, apparatus, medium and electronic equipment |
| CN109065179A (en) * | 2018-08-22 | 2018-12-21 | 昆明理工大学 | Dynamic Simulation Method when a kind of sky of disease infectious process |
| CN109360660A (en) * | 2018-10-31 | 2019-02-19 | 河南省疾病预防控制中心 | A kind of preventing control method and prevention and control system of disease control and trip information interconnection |
| CN109378079A (en) * | 2018-09-27 | 2019-02-22 | 同济大学 | A kind of system and method based on Cases for Fever Symptom Monitoring infectious disease |
| CN109461505A (en) * | 2018-11-16 | 2019-03-12 | 河南省疾病预防控制中心 | A method of rabies prevention and control cost is reduced using spatial information |
| CN110546715A (en) * | 2017-04-27 | 2019-12-06 | 皇家飞利浦有限公司 | using clinical knowledge to improve the use of next generation sequencing |
| CN111028955A (en) * | 2020-03-11 | 2020-04-17 | 智博云信息科技(广州)有限公司 | Epidemic situation area display method and system |
| CN111223573A (en) * | 2020-01-20 | 2020-06-02 | 和宇健康科技股份有限公司 | Hospital infection monitoring management method and system |
| CN111261301A (en) * | 2020-02-13 | 2020-06-09 | 姜通渊 | Big data infectious disease prevention and control method and system |
| CN111261302A (en) * | 2020-02-26 | 2020-06-09 | 汤一平 | Epidemic infectious disease virus field visualization method and system based on space-time trajectory data |
| CN111311018A (en) * | 2020-03-04 | 2020-06-19 | 苏州远征魂车船技术有限公司 | Accurate management and control system of epidemic situation |
| CN111312404A (en) * | 2020-01-21 | 2020-06-19 | 杭州杏林信息科技有限公司 | Method, equipment and storage medium for counting number of blood stream infected persons related to new central vascular catheter |
| CN111354473A (en) * | 2020-03-20 | 2020-06-30 | 天津绿州能源装备有限公司 | Application system for searching new coronary pneumonia infected person based on navigation map and mobile phone positioning |
| CN111370135A (en) * | 2020-03-04 | 2020-07-03 | 苏州远征魂车船技术有限公司 | Accurate management and control system of epidemic situation |
| CN111370139A (en) * | 2020-05-26 | 2020-07-03 | 第四范式（北京）技术有限公司 | Infectious disease tracing method and device, electronic equipment and storage medium |
| CN111383771A (en) * | 2020-02-26 | 2020-07-07 | 汤一平 | Epidemic disease virus field-based prevention and control system |
| CN111405470A (en) * | 2020-04-12 | 2020-07-10 | 北京牧家科技有限公司 | System and method for tracking gathered people based on mobile phone positioning algorithm |
| CN111405482A (en) * | 2020-02-24 | 2020-07-10 | 重庆轻谈科技有限公司 | Method and system for determining close contact by recombining time information with L BS |
| CN111405488A (en) * | 2020-03-31 | 2020-07-10 | 中科星图(深圳)数字技术产业研发中心有限公司 | Vehicle management method for multi-track cooperative tracking |
| CN111403045A (en) * | 2020-03-04 | 2020-07-10 | 苏州远征魂车船技术有限公司 | Diversified and accurate management and control system for infectious epidemic situation |
| CN111403048A (en) * | 2020-03-18 | 2020-07-10 | 唐宓 | Unknown infectious disease early warning and tracing method |
| CN111430042A (en) * | 2020-03-31 | 2020-07-17 | 南方科技大学 | Method, apparatus, computer device and storage medium for predicting the spread of an infectious disease |
| CN111429324A (en) * | 2020-03-25 | 2020-07-17 | 淮阴工学院 | Electronic traffic state management method for multi-source information fusion |
| CN111446000A (en) * | 2020-02-26 | 2020-07-24 | 汤一平 | System for tracing infection source based on epidemic disease virus field |
| CN111436941A (en) * | 2020-03-23 | 2020-07-24 | 广东艾诗凯奇智能科技有限公司 | Reminding system and method for potential disease prevention and server |
| CN111464951A (en) * | 2020-03-31 | 2020-07-28 | 深圳前海微众银行股份有限公司 | Epidemic situation prevention and control method, device, equipment and computer readable storage medium |
| CN111477343A (en) * | 2020-06-25 | 2020-07-31 | 中航信移动科技有限公司 | Manned aircraft infects early warning system |
| CN111477340A (en) * | 2020-04-13 | 2020-07-31 | 深圳前海微众银行股份有限公司 | Infectious disease contact condition detection method, device, equipment and readable storage medium |
| CN111477341A (en) * | 2020-06-18 | 2020-07-31 | 杭州数梦工场科技有限公司 | Epidemic situation monitoring method and device, electronic equipment and storage medium |
| CN111477339A (en) * | 2020-04-13 | 2020-07-31 | 深圳前海微众银行股份有限公司 | Infectious disease contact condition detection method, device and readable storage medium |
| CN111510865A (en) * | 2020-04-13 | 2020-08-07 | 中科星图(深圳)数字技术产业研发中心有限公司 | 5G-based cooperative positioning system and method |
| CN111524613A (en) * | 2020-04-27 | 2020-08-11 | 腾讯科技（深圳）有限公司 | Block chain-based user behavior track information acquisition method, device and equipment |
| CN111524609A (en) * | 2020-04-22 | 2020-08-11 | 第四范式（北京）技术有限公司 | Method and system for generating screening model and screening infectious disease high-risk infected people |
| CN111540476A (en) * | 2020-04-20 | 2020-08-14 | 中国科学院地理科学与资源研究所 | Respiratory infectious disease infectious tree reconstruction method based on mobile phone signaling data |
| CN111540477A (en) * | 2020-04-20 | 2020-08-14 | 中国科学院地理科学与资源研究所 | Respiratory infectious disease close contact person identification method based on mobile phone data |
| CN111556095A (en) * | 2020-03-31 | 2020-08-18 | 世强先进(深圳)科技股份有限公司 | Infectious disease epidemic situation early warning method and system based on positioning technology |
| CN111586353A (en) * | 2020-04-27 | 2020-08-25 | 北京明略软件系统有限公司 | Information visualization method and device and prevention and control method and device |
| CN111599484A (en) * | 2020-04-30 | 2020-08-28 | 泉州征之魂智能科技服务有限公司 | Infectious disease infectious and difficult-to-infect person calibration and noninductive infection traceability locking system |
| CN111652446A (en) * | 2020-06-15 | 2020-09-11 | 深圳前海微众银行股份有限公司 | Method, apparatus and storage medium for predicting risk of infection of infectious disease |
| CN111695048A (en) * | 2020-05-09 | 2020-09-22 | 珠海中科先进技术研究院有限公司 | Epidemic situation tracing method and medium |
| CN111724908A (en) * | 2020-06-28 | 2020-09-29 | 北京来也网络科技有限公司 | Epidemic situation investigation method and device based on robot process automation RPA |
| CN111739653A (en) * | 2020-06-19 | 2020-10-02 | 南方科技大学 | Method and device for evaluating the spread of an infectious disease, computer device and storage medium |
| CN111739650A (en) * | 2020-05-28 | 2020-10-02 | 百度在线网络技术（北京）有限公司 | Anonymous social contact backtracking method and device, electronic device and storage medium |
| CN111742376A (en) * | 2018-06-14 | 2020-10-02 | 松下知识产权经营株式会社 | Information processing method, information processing program, and information processing system |
| CN111812688A (en) * | 2020-06-05 | 2020-10-23 | 中南大学湘雅二医院 | GPS-based tracking method for potential carrier of respiratory infectious disease |
| WO2020215760A1 (en) * | 2019-04-25 | 2020-10-29 | 中国科学院深圳先进技术研究院 | Infectious disease diffusion analysis method and system based on subway space |
| CN111885484A (en) * | 2020-07-22 | 2020-11-03 | 中国联合网络通信集团有限公司 | Suspected epidemic situation personnel tracking method and system, computer equipment and storage medium |
| CN111916218A (en) * | 2020-08-10 | 2020-11-10 | 重庆邮电大学 | Novel multi-stage early warning method and system for coronavirus pneumonia epidemic situation |
| CN112037927A (en) * | 2020-08-24 | 2020-12-04 | 北京金山云网络技术有限公司 | Method and device for determining co-pedestrian associated with tracked person and electronic equipment |
| CN112086204A (en) * | 2020-09-21 | 2020-12-15 | 南京邮电大学 | Surrounding personnel information screening system and method |
| WO2020114528A3 (en) * | 2020-03-09 | 2021-01-14 | 中国民用航空总局第二研究所 | Method, device, and system for tracking persons potentially infected at public places during epidemic |
| CN112368782A (en) * | 2018-07-02 | 2021-02-12 | 巴克斯特国际公司 | Graphic database for epidemic tracking and management |
| CN112883416A (en) * | 2021-01-31 | 2021-06-01 | 淮航 | Travel tracking data privacy protection method and device |
| CN113161003A (en) * | 2020-05-31 | 2021-07-23 | 华南理工大学 | System and method for tracking and registering motion trail of infectious disease patient and contacter |
| CN113327103A (en) * | 2021-08-03 | 2021-08-31 | 深圳市知酷信息技术有限公司 | Intelligent campus epidemic situation on-line monitoring and early warning method, system and storage medium |
| WO2021196003A1 (en) * | 2020-03-31 | 2021-10-07 | 世强先进(深圳)科技股份有限公司 | Positioning technique-based epidemic warning method and system |
| CN113573228A (en) * | 2020-04-09 | 2021-10-29 | 中国移动通信有限公司研究院 | Method and device for monitoring terminal mobility |
| CN113593713A (en) * | 2020-12-30 | 2021-11-02 | 南方科技大学 | Epidemic situation prevention and control method, device, equipment and medium |
| CN113627746A (en) * | 2021-07-21 | 2021-11-09 | 南方医科大学第七附属医院(佛山市南海区第三人民医院) | Medical and institutional system and method for managing and commanding major infectious diseases |
| CN113762432A (en) * | 2020-06-01 | 2021-12-07 | 浙江大开信息技术有限公司 | Unit code based management and control method and management and control system thereof |
| CN113873441A (en) * | 2020-06-30 | 2021-12-31 | 香港科技大学 | Method for contact person tracking and corresponding processing method, system, device and medium |
| WO2022000141A1 (en) * | 2020-06-28 | 2022-01-06 | 北京来也网络科技有限公司 | Epidemic investigation method employing robotic process automation (rpa), and device |
| CN114446485A (en) * | 2020-11-02 | 2022-05-06 | 上海博泰悦臻网络技术服务有限公司 | Infectious disease hazard assessment area generation method and system, storage medium and platform |
| CN114708983A (en) * | 2021-12-17 | 2022-07-05 | 华中科技大学 | In-hospital infection risk analysis method and system based on association rule and complex network |
| CN114883012A (en) * | 2022-05-05 | 2022-08-09 | 医渡云（北京）技术有限公司 | Infectious disease tracing method, device, medium and equipment based on space-time trajectory |
| CN115394455A (en) * | 2022-05-31 | 2022-11-25 | 北京乾图科技有限公司 | Infectious disease time-space diffusion prediction method and device based on spatial clustering discrete grid |
| CN115886752A (en) * | 2022-11-14 | 2023-04-04 | 中山大学 | Infectious disease monitoring and predicting method, device and storage medium |
-
2016
- 2016-01-28 CN CN201610060508.XA patent/CN105740615B/en active Active
Non-Patent Citations (10)
Cited By (95)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110546715A (en) * | 2017-04-27 | 2019-12-06 | 皇家飞利浦有限公司 | using clinical knowledge to improve the use of next generation sequencing |
| CN107256327A (en) * | 2017-05-05 | 2017-10-17 | 中国科学院深圳先进技术研究院 | A kind of infectious disease preventing control method and system |
| CN107133901A (en) * | 2017-05-05 | 2017-09-05 | 中国科学院深圳先进技术研究院 | A kind of infectious disease preventing control method and system |
| CN107256327B (en) * | 2017-05-05 | 2020-04-14 | 中国科学院深圳先进技术研究院 | Infectious disease prevention and control method and system |
| CN111742376A (en) * | 2018-06-14 | 2020-10-02 | 松下知识产权经营株式会社 | Information processing method, information processing program, and information processing system |
| CN112368782A (en) * | 2018-07-02 | 2021-02-12 | 巴克斯特国际公司 | Graphic database for epidemic tracking and management |
| CN108986921A (en) * | 2018-07-04 | 2018-12-11 | 泰康保险集团股份有限公司 | Disease forecasting method, apparatus, medium and electronic equipment |
| CN108695003A (en) * | 2018-08-07 | 2018-10-23 | 中山市徕康医疗信息软件技术有限公司 | A kind of cloud management system and method that fever epidemic situation monitors and traces to the source |
| CN109065179B (en) * | 2018-08-22 | 2021-10-22 | 昆明理工大学 | Space-time dynamic simulation method for disease infection process |
| CN109065179A (en) * | 2018-08-22 | 2018-12-21 | 昆明理工大学 | Dynamic Simulation Method when a kind of sky of disease infectious process |
| CN109378079A (en) * | 2018-09-27 | 2019-02-22 | 同济大学 | A kind of system and method based on Cases for Fever Symptom Monitoring infectious disease |
| CN109360660A (en) * | 2018-10-31 | 2019-02-19 | 河南省疾病预防控制中心 | A kind of preventing control method and prevention and control system of disease control and trip information interconnection |
| CN109461505A (en) * | 2018-11-16 | 2019-03-12 | 河南省疾病预防控制中心 | A method of rabies prevention and control cost is reduced using spatial information |
| WO2020215760A1 (en) * | 2019-04-25 | 2020-10-29 | 中国科学院深圳先进技术研究院 | Infectious disease diffusion analysis method and system based on subway space |
| CN111223573A (en) * | 2020-01-20 | 2020-06-02 | 和宇健康科技股份有限公司 | Hospital infection monitoring management method and system |
| CN111312404A (en) * | 2020-01-21 | 2020-06-19 | 杭州杏林信息科技有限公司 | Method, equipment and storage medium for counting number of blood stream infected persons related to new central vascular catheter |
| CN111312404B (en) * | 2020-01-21 | 2023-04-18 | 杭州杏林信息科技有限公司 | Method, equipment and storage medium for counting number of blood stream infected persons related to new central vascular catheter |
| CN111261301B (en) * | 2020-02-13 | 2021-02-05 | 和宇健康科技股份有限公司 | Big data infectious disease prevention and control method and system |
| CN111261301A (en) * | 2020-02-13 | 2020-06-09 | 姜通渊 | Big data infectious disease prevention and control method and system |
| CN111405482A (en) * | 2020-02-24 | 2020-07-10 | 重庆轻谈科技有限公司 | Method and system for determining close contact by recombining time information with L BS |
| CN111261302A (en) * | 2020-02-26 | 2020-06-09 | 汤一平 | Epidemic infectious disease virus field visualization method and system based on space-time trajectory data |
| CN111446000A (en) * | 2020-02-26 | 2020-07-24 | 汤一平 | System for tracing infection source based on epidemic disease virus field |
| CN111383771A (en) * | 2020-02-26 | 2020-07-07 | 汤一平 | Epidemic disease virus field-based prevention and control system |
| CN111383771B (en) * | 2020-02-26 | 2023-12-22 | 汤一平 | Prevention and control system based on epidemic disease virus field |
| CN111446000B (en) * | 2020-02-26 | 2023-12-22 | 汤一平 | System for tracing infectious sources based on epidemic disease virus field |
| CN111261302B (en) * | 2020-02-26 | 2024-04-19 | 汤一平 | Epidemic virus field visualization method and system based on space-time trajectory data |
| CN111311018A (en) * | 2020-03-04 | 2020-06-19 | 苏州远征魂车船技术有限公司 | Accurate management and control system of epidemic situation |
| CN111370135A (en) * | 2020-03-04 | 2020-07-03 | 苏州远征魂车船技术有限公司 | Accurate management and control system of epidemic situation |
| CN111403045A (en) * | 2020-03-04 | 2020-07-10 | 苏州远征魂车船技术有限公司 | Diversified and accurate management and control system for infectious epidemic situation |
| WO2020114528A3 (en) * | 2020-03-09 | 2021-01-14 | 中国民用航空总局第二研究所 | Method, device, and system for tracking persons potentially infected at public places during epidemic |
| CN111028955A (en) * | 2020-03-11 | 2020-04-17 | 智博云信息科技(广州)有限公司 | Epidemic situation area display method and system |
| CN111403048A (en) * | 2020-03-18 | 2020-07-10 | 唐宓 | Unknown infectious disease early warning and tracing method |
| CN111354473A (en) * | 2020-03-20 | 2020-06-30 | 天津绿州能源装备有限公司 | Application system for searching new coronary pneumonia infected person based on navigation map and mobile phone positioning |
| CN111436941A (en) * | 2020-03-23 | 2020-07-24 | 广东艾诗凯奇智能科技有限公司 | Reminding system and method for potential disease prevention and server |
| CN111429324A (en) * | 2020-03-25 | 2020-07-17 | 淮阴工学院 | Electronic traffic state management method for multi-source information fusion |
| CN111556095A (en) * | 2020-03-31 | 2020-08-18 | 世强先进(深圳)科技股份有限公司 | Infectious disease epidemic situation early warning method and system based on positioning technology |
| CN111430042A (en) * | 2020-03-31 | 2020-07-17 | 南方科技大学 | Method, apparatus, computer device and storage medium for predicting the spread of an infectious disease |
| CN111464951A (en) * | 2020-03-31 | 2020-07-28 | 深圳前海微众银行股份有限公司 | Epidemic situation prevention and control method, device, equipment and computer readable storage medium |
| CN111405488A (en) * | 2020-03-31 | 2020-07-10 | 中科星图(深圳)数字技术产业研发中心有限公司 | Vehicle management method for multi-track cooperative tracking |
| WO2021196003A1 (en) * | 2020-03-31 | 2021-10-07 | 世强先进(深圳)科技股份有限公司 | Positioning technique-based epidemic warning method and system |
| CN111464951B (en) * | 2020-03-31 | 2024-01-23 | 深圳前海微众银行股份有限公司 | Epidemic situation prevention and control method, device, equipment and computer readable storage medium |
| CN113573228A (en) * | 2020-04-09 | 2021-10-29 | 中国移动通信有限公司研究院 | Method and device for monitoring terminal mobility |
| CN111405470A (en) * | 2020-04-12 | 2020-07-10 | 北京牧家科技有限公司 | System and method for tracking gathered people based on mobile phone positioning algorithm |
| CN111477339A (en) * | 2020-04-13 | 2020-07-31 | 深圳前海微众银行股份有限公司 | Infectious disease contact condition detection method, device and readable storage medium |
| CN111510865A (en) * | 2020-04-13 | 2020-08-07 | 中科星图(深圳)数字技术产业研发中心有限公司 | 5G-based cooperative positioning system and method |
| CN111477340A (en) * | 2020-04-13 | 2020-07-31 | 深圳前海微众银行股份有限公司 | Infectious disease contact condition detection method, device, equipment and readable storage medium |
| CN111510865B (en) * | 2020-04-13 | 2021-11-23 | 国科星图(深圳)数字技术产业研发中心有限公司 | 5G-based cooperative positioning system and method |
| CN111477340B (en) * | 2020-04-13 | 2023-01-24 | 深圳前海微众银行股份有限公司 | Infectious disease contact condition detection method, device, equipment and readable storage medium |
| CN111540476B (en) * | 2020-04-20 | 2020-12-01 | 中国科学院地理科学与资源研究所 | Respiratory infectious disease infectious tree reconstruction method based on mobile phone signaling data |
| CN111540477A (en) * | 2020-04-20 | 2020-08-14 | 中国科学院地理科学与资源研究所 | Respiratory infectious disease close contact person identification method based on mobile phone data |
| CN111540476A (en) * | 2020-04-20 | 2020-08-14 | 中国科学院地理科学与资源研究所 | Respiratory infectious disease infectious tree reconstruction method based on mobile phone signaling data |
| CN111524609A (en) * | 2020-04-22 | 2020-08-11 | 第四范式（北京）技术有限公司 | Method and system for generating screening model and screening infectious disease high-risk infected people |
| CN111524613A (en) * | 2020-04-27 | 2020-08-11 | 腾讯科技（深圳）有限公司 | Block chain-based user behavior track information acquisition method, device and equipment |
| CN111524613B (en) * | 2020-04-27 | 2023-05-09 | 腾讯科技（深圳）有限公司 | Block chain-based user behavior track information acquisition method, device and equipment |
| CN111586353A (en) * | 2020-04-27 | 2020-08-25 | 北京明略软件系统有限公司 | Information visualization method and device and prevention and control method and device |
| CN111599484A (en) * | 2020-04-30 | 2020-08-28 | 泉州征之魂智能科技服务有限公司 | Infectious disease infectious and difficult-to-infect person calibration and noninductive infection traceability locking system |
| CN111695048B (en) * | 2020-05-09 | 2023-06-02 | 珠海中科先进技术研究院有限公司 | Epidemic situation tracing method and medium |
| CN111695048A (en) * | 2020-05-09 | 2020-09-22 | 珠海中科先进技术研究院有限公司 | Epidemic situation tracing method and medium |
| CN111370139A (en) * | 2020-05-26 | 2020-07-03 | 第四范式（北京）技术有限公司 | Infectious disease tracing method and device, electronic equipment and storage medium |
| CN112530600A (en) * | 2020-05-26 | 2021-03-19 | 第四范式（北京）技术有限公司 | Infectious disease tracing method and device, electronic equipment and storage medium |
| CN112530600B (en) * | 2020-05-26 | 2024-10-15 | 第四范式（北京）技术有限公司 | Infectious disease tracing method and device, electronic equipment and storage medium |
| CN111739650A (en) * | 2020-05-28 | 2020-10-02 | 百度在线网络技术（北京）有限公司 | Anonymous social contact backtracking method and device, electronic device and storage medium |
| CN111739650B (en) * | 2020-05-28 | 2024-03-26 | 百度在线网络技术（北京）有限公司 | Anonymous social contact backtracking method and device, electronic equipment and storage medium |
| CN113161003B (en) * | 2020-05-31 | 2023-11-24 | 华南理工大学 | System and method for tracking and registering activity track and contact of infectious disease patient |
| CN113161003A (en) * | 2020-05-31 | 2021-07-23 | 华南理工大学 | System and method for tracking and registering motion trail of infectious disease patient and contacter |
| CN113762432A (en) * | 2020-06-01 | 2021-12-07 | 浙江大开信息技术有限公司 | Unit code based management and control method and management and control system thereof |
| CN111812688B (en) * | 2020-06-05 | 2021-09-14 | 中南大学湘雅二医院 | GPS-based tracking method for potential carrier of respiratory infectious disease |
| CN111812688A (en) * | 2020-06-05 | 2020-10-23 | 中南大学湘雅二医院 | GPS-based tracking method for potential carrier of respiratory infectious disease |
| CN111652446A (en) * | 2020-06-15 | 2020-09-11 | 深圳前海微众银行股份有限公司 | Method, apparatus and storage medium for predicting risk of infection of infectious disease |
| CN111477341A (en) * | 2020-06-18 | 2020-07-31 | 杭州数梦工场科技有限公司 | Epidemic situation monitoring method and device, electronic equipment and storage medium |
| CN111739653A (en) * | 2020-06-19 | 2020-10-02 | 南方科技大学 | Method and device for evaluating the spread of an infectious disease, computer device and storage medium |
| CN111739653B (en) * | 2020-06-19 | 2022-11-15 | 南方科技大学 | Method and device for evaluating the spread of an infectious disease, computer device and storage medium |
| CN111477343A (en) * | 2020-06-25 | 2020-07-31 | 中航信移动科技有限公司 | Manned aircraft infects early warning system |
| CN111724908A (en) * | 2020-06-28 | 2020-09-29 | 北京来也网络科技有限公司 | Epidemic situation investigation method and device based on robot process automation RPA |
| WO2022000141A1 (en) * | 2020-06-28 | 2022-01-06 | 北京来也网络科技有限公司 | Epidemic investigation method employing robotic process automation (rpa), and device |
| CN113873441B (en) * | 2020-06-30 | 2024-02-09 | 香港科技大学 | Method for tracking contact person, and corresponding processing method, system, equipment and medium |
| CN113873441A (en) * | 2020-06-30 | 2021-12-31 | 香港科技大学 | Method for contact person tracking and corresponding processing method, system, device and medium |
| CN111885484A (en) * | 2020-07-22 | 2020-11-03 | 中国联合网络通信集团有限公司 | Suspected epidemic situation personnel tracking method and system, computer equipment and storage medium |
| CN111916218A (en) * | 2020-08-10 | 2020-11-10 | 重庆邮电大学 | Novel multi-stage early warning method and system for coronavirus pneumonia epidemic situation |
| CN111916218B (en) * | 2020-08-10 | 2022-07-22 | 重庆邮电大学 | Novel multi-stage early warning method and system for coronavirus pneumonia epidemic situation |
| CN112037927A (en) * | 2020-08-24 | 2020-12-04 | 北京金山云网络技术有限公司 | Method and device for determining co-pedestrian associated with tracked person and electronic equipment |
| CN112086204A (en) * | 2020-09-21 | 2020-12-15 | 南京邮电大学 | Surrounding personnel information screening system and method |
| CN112086204B (en) * | 2020-09-21 | 2022-08-16 | 南京邮电大学 | Surrounding personnel information screening system and method |
| CN114446485A (en) * | 2020-11-02 | 2022-05-06 | 上海博泰悦臻网络技术服务有限公司 | Infectious disease hazard assessment area generation method and system, storage medium and platform |
| CN113593713A (en) * | 2020-12-30 | 2021-11-02 | 南方科技大学 | Epidemic situation prevention and control method, device, equipment and medium |
| WO2022142467A1 (en) * | 2020-12-30 | 2022-07-07 | 南方科技大学 | Epidemic prevention and control method and apparatus, and device and medium |
| CN112883416A (en) * | 2021-01-31 | 2021-06-01 | 淮航 | Travel tracking data privacy protection method and device |
| CN113627746B (en) * | 2021-07-21 | 2024-01-26 | 南方医科大学第七附属医院(佛山市南海区第三人民医院) | Medical community new-onset major infectious disease management command system and method |
| CN113627746A (en) * | 2021-07-21 | 2021-11-09 | 南方医科大学第七附属医院(佛山市南海区第三人民医院) | Medical and institutional system and method for managing and commanding major infectious diseases |
| CN113327103B (en) * | 2021-08-03 | 2021-10-26 | 深圳市知酷信息技术有限公司 | Intelligent campus epidemic situation on-line monitoring and early warning method, system and storage medium |
| CN113327103A (en) * | 2021-08-03 | 2021-08-31 | 深圳市知酷信息技术有限公司 | Intelligent campus epidemic situation on-line monitoring and early warning method, system and storage medium |
| CN114708983A (en) * | 2021-12-17 | 2022-07-05 | 华中科技大学 | In-hospital infection risk analysis method and system based on association rule and complex network |
| CN114883012A (en) * | 2022-05-05 | 2022-08-09 | 医渡云（北京）技术有限公司 | Infectious disease tracing method, device, medium and equipment based on space-time trajectory |
| CN115394455A (en) * | 2022-05-31 | 2022-11-25 | 北京乾图科技有限公司 | Infectious disease time-space diffusion prediction method and device based on spatial clustering discrete grid |
| CN115886752A (en) * | 2022-11-14 | 2023-04-04 | 中山大学 | Infectious disease monitoring and predicting method, device and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105740615B (en) | 2018-10-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105740615B (en) | Utilize the method for the mobile phone trajectory track infection sources and prediction disease transmission trend | |
| Huang et al. | Transport mode detection based on mobile phone network data: A systematic review | |
| Kraemer et al. | Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus | |
| Sapiezynski et al. | Tracking human mobility using wifi signals | |
| Buckee et al. | Mobile phones and malaria: modeling human and parasite travel | |
| CN111370139B (en) | Infectious disease tracing method and device, electronic equipment and storage medium | |
| Quinn et al. | Computational sustainability and artificial intelligence in the developing world | |
| Huang et al. | Uncertainties in the assessment of COVID-19 risk: A study of people’s exposure to high-risk environments using individual-level activity data | |
| McKitrick et al. | Collecting, analyzing, and visualizing location-based social media data: review of methods in GIS-social media analysis | |
| Pellet et al. | Localising social network users and profiling their movement | |
| Khalifa et al. | Identifying urban crowds using geo-located Social media data: a Twitter experiment in New York City | |
| Prociow et al. | Towards personalised ambient monitoring of mental health via mobile technologies | |
| Wang et al. | Does the returners and explorers dichotomy in urban human mobility depend on the observation duration? An empirical study in Guangzhou, China | |
| Carrasco-Escobar et al. | Open-source 3D printable GPS tracker to characterize the role of human population movement on malaria epidemiology in river networks: a proof-of-concept study in the Peruvian Amazon | |
| Demrozi et al. | An indoor localization system to detect areas causing the freezing of gait in Parkinsonians | |
| Li et al. | Exploiting location-related behaviors without the GPS data on smartphones | |
| Cui et al. | Generating a synthetic probabilistic daily activity-location schedule using large-scale, long-term and low-frequency smartphone GPS data with limited activity information | |
| Yao et al. | Extracting the pickpocketing information implied in the built environment by treating it as the anomalies | |
| Berke et al. | Using mobile phone data to estimate dynamic population changes and improve the understanding of a pandemic: A case study in Andorra | |
| Liu et al. | How Mobility and Temporal Contexts May Affect Environmental Exposure Measurements: Using Outdoor Artificial Light at Night (ALAN) and Urban Green Space as Examples | |
| Liu et al. | Contact tracing over uncertain indoor positioning data | |
| Abdallah et al. | Case study: Spark GPU-enabled framework to control COVID-19 spread using cell-phone spatio-temporal data | |
| Cesario et al. | Time-based geographical mapping of communicable diseases | |
| Wang et al. | Smartphone privacy leakage of social relationships and demographics from surrounding access points | |
| Wang et al. | COVID-19 contact tracking by group activity trajectory recovery over camera networks |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240304 Address after: Room 631, Room 406, No.1 Yichuang Street, Huangpu District (Zhongxin Guangzhou Knowledge City), Guangzhou City, Guangdong Province, 510555 Patentee after: Guangdong Yixian Huahai Biotechnology Co.,Ltd. Country or region after: China Address before: School of Public Health, North Campus of Sun Yat sen University, No. 74 Zhongshan Second Road, Yuexiu District, Guangzhou City, Guangdong Province, 510000 Patentee before: SUN YAT-SEN University Country or region before: China |
|
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240701 Address after: Room 1502103, Building A, Zhongda Science and Technology Park, Building 628, Zhongda Puyuan District, No. 135 Xingang West Road, Haizhu District, Guangzhou City, Guangdong Province, 510000 (for office only) Patentee after: Guangzhou Yixianjian Technology Co.,Ltd. Country or region after: China Address before: Room 631, Room 406, No.1 Yichuang Street, Huangpu District (Zhongxin Guangzhou Knowledge City), Guangzhou City, Guangdong Province, 510555 Patentee before: Guangdong Yixian Huahai Biotechnology Co.,Ltd. Country or region before: China |