CN108986921A - Disease forecasting method, apparatus, medium and electronic equipment - Google Patents

Disease forecasting method, apparatus, medium and electronic equipment Download PDF

Info

Publication number
CN108986921A
CN108986921A CN201810724808.2A CN201810724808A CN108986921A CN 108986921 A CN108986921 A CN 108986921A CN 201810724808 A CN201810724808 A CN 201810724808A CN 108986921 A CN108986921 A CN 108986921A
Authority
CN
China
Prior art keywords
patient
users
infection
user
people
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.)
Pending
Application number
CN201810724808.2A
Other languages
Chinese (zh)
Inventor
谭红霞
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Taikang Insurance Group Co Ltd
Original Assignee
Taikang Insurance Group Co 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 Taikang Insurance Group Co Ltd filed Critical Taikang Insurance Group Co Ltd
Priority to CN201810724808.2A priority Critical patent/CN108986921A/en
Publication of CN108986921A publication Critical patent/CN108986921A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/80ICT 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
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Landscapes

  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The embodiment of the invention provides a kind of disease forecasting method, apparatus, medium and electronic equipment, which includes: to acquire the activity trajectory of multiple users;If occurring the patient for being diagnosed as infectious disease in the multiple user, according to the activity trajectory of the multiple user within a predetermined period of time, determine other users in the multiple user and the patient in the positional relationship of various time points;According to other users and the patient in the positional relationship of the various time points, the exposure level of other users and the patient are calculated;The target user for being higher than predetermined threshold with the exposure level of the patient is predicted as to the people at highest risk of illness.The technical solution of the embodiment of the present invention makes it possible to determine the personnel with the source of infection of infectious disease (i.e. patient) close contact by the location information of user, and then it can accurately determine the personnel that may be infected, to take appropriate measures in time, the level of user health management is improved.

Description

Disease forecasting method, apparatus, medium and electronic equipment
Technical field
The present invention relates to technical field of data processing, in particular to a kind of disease forecasting method, apparatus, medium and Electronic equipment.
Background technique
Currently, being the classes such as air borne, droplet transmission, contact propagation when occurring route of transmission in the resident in endowment community When the infection disease of type, usually by inquiry illness resident, the personnel of close contact find the height of cross-infection therewith in the recent period Danger personnel, to take corresponding intervening measure to high-risk personnel.
Although aforesaid way can find the high-risk personnel of cross-infection to a certain extent, work as the disease of illness resident When feelings are more serious, relevant information can not be provided;Simultaneously because resident generally will not excessively pay close attention to other people in public space Member may not notice that the resident's fourth for being sitting in and reading a book on the chair of side if resident's first and resident's second are sitting on bench and talk, because This is difficult to find through the above way potentially possible infected personnel after certain residents are diagnosed, and is infected personnel pole It is likely to become the new source of infection, so that cross-infection ratio increases, or even causes infection outburst, to community resident and service people Member's health has serious consequences.
It should be noted that information is only used for reinforcing the reason to background of the invention disclosed in above-mentioned background technology part Solution, therefore may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Summary of the invention
The embodiment of the present invention is designed to provide a kind of disease forecasting method, apparatus, medium and electronic equipment, Jin Erzhi It is few to overcome the problems, such as accurately determine the personnel that may be infected in the related technology to a certain extent.
Other characteristics and advantages of the invention will be apparent from by the following detailed description, or partially by the present invention Practice and acquistion.
According to a first aspect of the embodiments of the present invention, a kind of disease forecasting method is provided, comprising: acquire multiple users' Activity trajectory;If occurring the patient for being diagnosed as infectious disease in the multiple user, according to the multiple user in the predetermined time Activity trajectory in section determines other users in the multiple user and the patient in the positional relationship of various time points; According to other users and the patient in the positional relationship of the various time points, other users and the trouble are calculated The exposure level of person;The target user for being higher than predetermined threshold with the exposure level of the patient is predicted as to the high-risk people of illness Group.
In some embodiments of the invention, aforementioned schemes are based on, according to other users with the patient described The positional relationship of various time points calculates the exposure level of other users and the patient, comprising: according to other use Family determines other users in the various time points at a distance from the patient is between the position of the various time points Multiplicity of infection;According to other users the various time points multiplicity of infection, calculate other users with it is described The exposure level of patient.
In some embodiments of the invention, aforementioned schemes are based on, are closed based on the inverse correlation between distance and multiplicity of infection System, determines other users in the multiplicity of infection of the various time points.
In some embodiments of the invention, aforementioned schemes are based on, according to other users in the various time points Multiplicity of infection, calculate the exposure level of other users and the patient, comprising: to other users described each The multiplicity of infection at time point is summed, and using obtain and value as the exposure level of other users and the patient.
In some embodiments of the invention, aforementioned schemes, the disease forecasting method further include: measuring in advance are based on To after the people at highest risk of illness, according to the activity trajectory of the multiple user, the determining exposure level with the people at highest risk Higher than the user of the predetermined threshold;It is by the user in predicting for being higher than the predetermined threshold with the exposure level of the people at highest risk The people at highest risk of illness.
In some embodiments of the invention, aforementioned schemes are based on, the activity trajectory of multiple users is acquired, comprising: every Scheduled duration acquires the location information in the multiple user where each user, according to the generation of the result of multi collect The activity trajectory of each user.
In some embodiments of the invention, aforementioned schemes, the predetermined threshold and the suffered from infectious disease of the patient are based on Type it is associated.
In some embodiments of the invention, aforementioned schemes, the disease forecasting method further include: according to described are based on The height of the exposure level of people at highest risk and the patient, determines the infection grade of the people at highest risk;It is sent to designated person Warning information for the people at highest risk and/or the intervention processing information to the people at highest risk, wherein the warning information Include the infection grade.
In some embodiments of the invention, aforementioned schemes are based on, further includes: obtain the patient and/or described high-risk The visiting information of the visitor of crowd;The infection risk of the visitor is determined according to the visiting information of the visitor;To the visitor Notify the infection risk.
According to a second aspect of the embodiments of the present invention, a kind of disease forecasting device is provided, comprising: acquisition unit is used for Acquire the activity trajectory of multiple users;Processing unit, when for occurring the patient for being diagnosed as infectious disease in the multiple user, According to the activity trajectory of the multiple user within a predetermined period of time, other users in the multiple user and the trouble are determined Positional relationship of the person in various time points;Computing unit is used for according to other users and the patient when described each Between the positional relationship put, calculate the exposure level of other users and the patient;Predicting unit, being used for will be with the patient Exposure level be higher than the target user of predetermined threshold and be predicted as the people at highest risk of illness.
In some embodiments of the invention, aforementioned schemes are based on, the computing unit is used for: according to other users At a distance from the patient is between the position of the various time points, determine other users in the various time points Multiplicity of infection;According to other users in the multiplicity of infection of the various time points, other users and the trouble are calculated The exposure level of person.
In some embodiments of the invention, aforementioned schemes are based on, the computing unit is used for: based on distance and infection system Inverse correlation relationship between number determines other users in the multiplicity of infection of the various time points.
In some embodiments of the invention, aforementioned schemes are based on, the computing unit is used for: being existed to other users The multiplicity of infection of the various time points is summed, and connecing using obtain and value as other users and the patient Touching degree.
In some embodiments of the invention, aforementioned schemes are based on, the processing unit is also used to obtain illness in prediction People at highest risk after, according to the activity trajectory of the multiple user, the determining exposure level with the people at highest risk is higher than institute State the user of predetermined threshold;The predicting unit is also used to that the predetermined threshold will be higher than with the exposure level of the people at highest risk User in predicting be illness people at highest risk.
In some embodiments of the invention, aforementioned schemes are based on, the acquisition unit is used for: are acquired every scheduled duration Location information in the multiple user where each user generates the work of each user with the result according to multi collect Dynamic rail mark.
In some embodiments of the invention, aforementioned schemes, the predetermined threshold and the suffered from infectious disease of the patient are based on Type it is associated.
In some embodiments of the invention, aforementioned schemes, the disease forecasting device are based on further include: send single Member;The processing unit is also used to the height of the exposure level according to the people at highest risk Yu the patient, determines described high-risk The infection grade of crowd;The transmission unit be used for designated person send for the people at highest risk warning information and/or Information is handled to the intervention of the people at highest risk, wherein the warning information includes the infection grade.
In some embodiments of the invention, aforementioned schemes are based on, further includes: acquiring unit, for obtaining the patient And/or the visiting information of the visitor of the people at highest risk;Second determination unit, for being determined according to the visiting information of the visitor The infection risk of the visitor;Notification unit, for notifying the infection risk to the visitor.
According to a third aspect of the embodiments of the present invention, a kind of computer-readable medium is provided, computer is stored thereon with Program realizes the disease forecasting method as described in first aspect in above-described embodiment when described program is executed by processor.
According to a fourth aspect of the embodiments of the present invention, a kind of electronic equipment is provided, comprising: one or more processors; Storage device, for storing one or more programs, when one or more of programs are held by one or more of processors When row, so that one or more of processors realize the disease forecasting method as described in first aspect in above-described embodiment.
Technical solution provided in an embodiment of the present invention can include the following benefits:
In the technical solution provided by some embodiments of the present invention, by acquiring the activity trajectory of multiple users, and When occurring the patient for being diagnosed as infectious disease in multiple users, determines other users according to the activity trajectory of multiple user and be somebody's turn to do Patient is then based on other users and the patient in the positional relationship of various time points, meter in the positional relationship of various time points The target user that exposure level is higher than predetermined threshold is predicted as the high-risk of illness by the exposure level for calculating other users and patient Crowd makes it possible to determine the personnel with the source of infection of infectious disease (i.e. patient) close contact by the location information of user, And then can accurately determine the personnel that may be infected, to take appropriate measures in time, improve user health management Level.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not It can the limitation present invention.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention Example, and be used to explain the principle of the present invention together with specification.It should be evident that the accompanying drawings in the following description is only the present invention Some embodiments for those of ordinary skill in the art without creative efforts, can also basis These attached drawings obtain other attached drawings.In the accompanying drawings:
Fig. 1 diagrammatically illustrates the flow chart of disease forecasting method according to an embodiment of the invention;
Fig. 2 diagrammatically illustrates the flow chart of disease forecasting method according to another embodiment of the invention;
Fig. 3 diagrammatically illustrates the method according to an embodiment of the invention that disease forecasting is carried out in endowment community Flow chart;
Fig. 4 shows the may be infected disease according to an embodiment of the invention of determining by way of recursive calculation The schematic diagram of personnel;
Fig. 5 diagrammatically illustrates the block diagram of the disease forecasting device of embodiment according to the present invention;
Fig. 6 shows the structural schematic diagram for being suitable for the computer system for the electronic equipment for being used to realize the embodiment of the present invention.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be with a variety of shapes Formula is implemented, and is not understood as limited to example set forth herein;On the contrary, thesing embodiments are provided so that the present invention will more Fully and completely, and by the design of example embodiment comprehensively it is communicated to those skilled in the art.
In addition, described feature, structure or characteristic can be incorporated in one or more implementations in any suitable manner In example.In the following description, many details are provided to provide and fully understand to the embodiment of the present invention.However, It will be appreciated by persons skilled in the art that technical solution of the present invention can be practiced without one or more in specific detail, Or it can be using other methods, constituent element, device, step etc..In other cases, it is not shown in detail or describes known side Method, device, realization or operation are to avoid fuzzy each aspect of the present invention.
Block diagram shown in the drawings is only functional entity, not necessarily must be corresponding with physically separate entity. I.e., it is possible to realize these functional entitys using software form, or realized in one or more hardware modules or integrated circuit These functional entitys, or these functional entitys are realized in heterogeneous networks and/or processor device and/or microcontroller device.
Flow chart shown in the drawings is merely illustrative, it is not necessary to including all content and operation/step, It is not required to execute by described sequence.For example, some operation/steps can also decompose, and some operation/steps can close And or part merge, therefore the sequence actually executed is possible to change according to the actual situation.
Fig. 1 diagrammatically illustrates the flow chart of disease forecasting method according to an embodiment of the invention, and the disease is pre- The executing subject of survey method can be the equipment with calculation processing function, such as server.
Shown in referring to Fig.1, disease forecasting method according to an embodiment of the invention, including step S110 is to step S130 is below described in detail the realization details of each step:
In step s 110, the activity trajectory of multiple users is acquired.
In one embodiment of the invention, wearable device (such as smartwatch, fortune of user's body-worn can be passed through Start ring etc.) activity trajectory of acquisition user;Or can also by the portable mobile terminal of user (such as smart phone, Tablet computer etc.) acquire the activity trajectory of user, for example the application program of collection activity track is installed on mobile terminal, then The activity trajectory of user can be acquired by the application program.Specifically, it can be acquired every scheduled duration every in multiple users Location information where a user generates the activity trajectory of each user with the result according to multi collect.Such as it can be every Position where the user of acquisition in two minutes, obtains the location point of user, then (according to the result of multi collect to obtain the final product The multiple location points arrived) generate user activity trajectory.
It should be noted that not only containing location information in the activity trajectory of user, but also temporal information is further comprised, The temporal information is used to describe time when user is in different location.
In the step s 120, if occurring the patient for being diagnosed as infectious disease in the multiple user, according to the multiple use The activity trajectory of family within a predetermined period of time determines other users in the multiple user with the patient in various time points Positional relationship.
In one embodiment of the invention, it since activity trajectory both contains location information, also contains for describing User is in temporal information when different location, therefore can be according to the activity trajectory of multiple users within a predetermined period of time come really Patient and other users are determined in the positional relationship of various time points, which can be between the patient and other users Distance relationship.
In one embodiment of the invention, when predetermined amount of time can be one section for making a definite diagnosis that the time traces forward from patient Between.Such as from patient make a definite diagnosis the time trace forward two days be used as the predetermined amount of time.
Step S130 calculates institute according to other users and the patient in the positional relationship of the various time points State the exposure level of other users Yu the patient.
In some embodiments of the invention, step S130 includes: with the patient according to other users described The distance between position of various time points determines other users in the multiplicity of infection of the various time points;According to institute Other users are stated in the multiplicity of infection of the various time points, calculate the exposure level of other users and the patient.
In one embodiment of the invention, it can be inverse correlation relationship between above-mentioned distance and multiplicity of infection, that is, suffer from The distance between position of the person with some user at some time point is bigger, then the patient and the infection of the user at the time point Coefficient is smaller namely the infected probability of the user is smaller.
In one embodiment of the invention, other users can be summed in the multiplicity of infection of various time points, And using obtain and value as the exposure level of other users and the patient.
The target user for being higher than predetermined threshold with the exposure level of the patient is predicted as the high-risk of illness by step S140 Crowd.
In one embodiment of the invention, the size of the predetermined threshold is associated with the type of the suffered from infectious disease of patient. The type of infectious disease may include air borne, droplet transmission, contact propagation, due to the infection distance of different types of infectious disease Difference, therefore above-mentioned predetermined threshold can be determined according to actual infectious disease type.
It in one embodiment of the invention, can be to designated person (as being good for after predicting the people at highest risk of illness Health Contract Manager, relatives, medical staff etc.) it sends warning information and/or information is handled to the intervention of people at highest risk, for example can lead to It crosses mail, short message or instant message applications etc. and sends warning information.It preferably, can also contact according to people at highest risk with patient The height of degree determines the infection grade of people at highest risk, and the infection is then being added into the warning information that designated person sends Grade.
The technical solution of embodiment illustrated in fig. 1 makes it possible to determine the patient with infectious disease by the location information of user The personnel of close contact, and then can accurately determine the personnel that may be infected, to take appropriate measures in time, improve The level of user health management.
In one embodiment of the invention, as shown in Fig. 2, disease forecasting side according to another embodiment of the invention Method, comprising:
Step S210, according to the activity trajectory of the multiple user, is determined after prediction obtains the people at highest risk of illness It is higher than the user of predetermined threshold with the exposure level of the people at highest risk.
It in one embodiment of the invention, can be according to the scheme described in previous embodiment come according to multiple users' Activity trajectory, the determining user for being higher than predetermined threshold with the exposure level of people at highest risk.
The user in predicting for being higher than the predetermined threshold with the exposure level of the people at highest risk is illness by step S220 People at highest risk.
In one embodiment of the invention, after predicting people at highest risk, equally to designated person's (such as health control Teacher, relatives, medical staff etc.) it sends warning information and/or information is handled to the intervention of people at highest risk, for example postal can be passed through Part, short message or instant message applications etc. send warning information.It preferably, can also be according to the exposure level of people at highest risk and patient Height, determine the infection grade of people at highest risk, then adding the infection grade into the warning information that designated person sends.
The technical solution of embodiment illustrated in fig. 2 makes after prediction obtains the people at highest risk of illness, can be by these height Patient of the danger crowd as infectious disease, further recursive calculation it is new there may be the personnel of infection risk, and then can be effective Determine all personnel that may be infected, it is ensured that take corresponding treatment measures in time, be conducive to improve user health pipe The level of reason.
In one embodiment of the invention, coming for the visitor of the patient and/or the people at highest risk can also be obtained Information is visited, the infection risk of the visitor is then determined according to the visiting information of the visitor, notifies the sense to the visitor Contaminate risk.
In this embodiment it is possible to be determined according to the visiting period and visiting duration that include in the visiting information of visitor The infection risk of visitor, if being infected within the visiting period of visitor than patient and/or people at highest risk, and the visit of visitor Ask that the time is longer, then visitor's infection risk with higher can be determined.
The technical principle of the technical solution of the embodiment of the present invention is elaborated in detail above and realizes details, below to the present invention The concrete application scene of embodiment is illustrated.
In a concrete application scene of the invention, disease forecasting can be carried out to the resident in endowment community, specifically Ground can pass through position when the source of infection occur in community of supporting parents (endowment community or medical staff are diagnosed as infection type disease) Information recursive calculation contacts close personnel with the source of infection, while obtaining infected person and with infected person close contact personnel's Visitor information, and then infection control intervening measure can be carried out to possible infected personnel in time, it avoids in endowment community Occur the problem of cross-infection propagation between resident, medical staff and visitor, prevents outbreak of communicable diseases to the people in endowment community Member and visitor's health care belt carry out risk.Detailed process is as shown in figure 3, mainly include the following steps:
Step S301, community resident and medical worker wear wearable device.
In one embodiment of the invention, wearable device can be smartwatch, motion bracelet etc..Of the invention In other embodiments, community resident and medical worker can also pass through portable mobile terminal (such as smart phone, plate electricity Brain etc.) acquire the location information of user.
Step S302, timing acquiring LBS (Location Based Service is based on mobile location-based service) information.Than It such as can be primary every acquisition in two minutes.
Step S303 suffers from air borne, droplet transmission, contact propagation etc. when being diagnosed as in community resident or medical staff When the patient of type infectious disease, according to the activity trajectory information in each resident certain time recently, recursive calculation and the patient Activity trajectory have intersection and reach a certain amount of personnel.
In one embodiment of the invention, can get whether have community resident from the hospital docked with endowment community Or medical staff is diagnosed as and suffers from the types infectious diseases such as air borne, droplet transmission, contact propagation.In another implementation of the invention In example, if endowment community with make a definite diagnosis hospital and dock, the information of making a definite diagnosis of hospital can be manually entered by medical staff, record After the completion of entering, can trigger to calculate has intersection and reaches a certain amount of personnel with the activity trajectory of the patient.
In one embodiment of the invention, the activity trajectory in recursive calculation and the patient has intersection and reaches a certain amount of Personnel when, can be calculated and the close contact degree of the source of infection according to the LBS information of user.Wherein, different routes of transmission Infectious disease type can be different according to distance definition multiplicity of infection, such as air borne type infectious disease can define and the source of infection Multiplicity of infection within 1 meter is 1, and the multiplicity of infection within 2 meters is 0.5, and the multiplicity of infection within 3 meters is 0.3, it is negligible at a distance of 3 meters or more.
Being calculated separately in community of supporting parents in the given time (such as most in a couple of days) in the manner described above has friendship with the source of infection The multiplicity of infection of each location information collection point of other personnel (personnel that there is cross-infection risk) of collection, all acquisitions The sum of multiplicity of infection of point as infection risk coefficient (infection risk coefficient be used to describe to support parents community resident and the source of infection it Between exposure level, infection risk coefficient is bigger, illustrates that the exposure level between resident and the source of infection is higher).Meanwhile in this hair In bright embodiment, the risk class of infection risk coefficient, such as air can be set according to the different routes of transmission of infectious disease The infection risk coefficient of the infectious disease of propagation is greater than 720 or more it can be assumed that for high infection risk.It is each obtaining After the infection risk of resident, if there is the high personnel of infection risk, then these personnel as the source of infection, further recurrence Calculate new cross-infection risk personnel.
In one embodiment of the invention, as shown in figure 4, resident A is diagnosed as suffering from the source of infection of infectious disease, pass through this The technical solution of invention above-described embodiment determined the infection risk of resident B be it is high, the infection risk of resident C is height, resident D Infection risk be that the infection risk of resident E is low.Then using resident B as the source of infection, the above-mentioned reality of the present invention is continued through The technical solution for applying example further determines that the infection risk of resident F as height, during the infection risk of resident G is.
Step S304 is obtained and the higher personnel of the patient contact degree and the visitor personnel in the proximal segment time.
In one embodiment of the invention, if the source of infection or the high personnel of infection risk have visit in the given time Visitor, then can be by the visitor information of registration, such as visiting time, visiting duration determine the infection risk rank of visitor.
Step S305 sends warning information to medical worker according to different infectious disease types and intervenes treatment measures letter Breath.Corresponding intervention treatment measures information is got in treatment measures rule base wherein it is possible to intervene from infectious disease.
Step S306, medical worker carries out intervention processing, and records processing result.
Based on above-mentioned application scenarios, a specific example of the technical solution introduced below using the embodiment of the present invention: Mr. first certain endowment community live on one's own life area live, the proximal segment time occur fever, cough, laryngalgia, physical distress, headache with And the symptoms such as vomiting, hospital admission is supervised to community's health in the case where community nurse is accompanied, doctor determines Mr. first according to symptom There is a possibility that infection Influenza A H1N1, is diagnosed as Influenza A H1N1 after carrying out etiological examination;Make a definite diagnosis rear disease forecasting System gives the LBS information according to each resident in endowment community automatically, and recursive calculation, which goes out three days nearly with Mr. first, close contact Personnel, and obtain by rule base the intervening measure information of the infectious disease, while being sent to patient care team of community.Doctor's A band Patient care team of community is led to carry out intervention disposition according to the lists of persons (people at highest risk) with Mr.'s first close contact, such as to Mr. first Room carry out disinfection processing, quarantine to separate room is carried out with Mr.'s first time of contact longest Mr. Ding, the third Ms, to it Its personnel's routine observation, once influenza-like symptom (fever, cough, runny nose etc.) out, symptomatic treatment of taking medicine as early as possible.As it can be seen that this hair The technical solution of bright embodiment can avoid influenza cross-infection diffusion in endowment community, to the people with Mr.'s first close contact Member once early treatment can also early be occurred by infected situation occur, while taking quarantine measures, effectively avoids Mr. Ding, the third female Shicheng is the new source of infection.
It should be noted that the technical solution of the embodiment of the present invention and being applicable not only to carry out in above-mentioned endowment community The scene of disease forecasting, and be readily applicable to carry out the scene of disease forecasting in more personnel environments such as school, prison.
The device of the invention embodiment introduced below can be used for executing the above-mentioned disease forecasting method of the present invention.
Fig. 5 diagrammatically illustrates the block diagram of the disease forecasting device of embodiment according to the present invention.
As shown in figure 5, the disease forecasting device 500 of embodiment according to the present invention, comprising: acquisition unit 502, processing are single Member 504, computing unit 506 and predicting unit 508.
Wherein, acquisition unit 502 is used to acquire the activity trajectory of multiple users;Processing unit 504 is used for the multiple When occurring being diagnosed as the patient of infectious disease in user, according to the activity trajectory of the multiple user within a predetermined period of time, determine The positional relationship of other users in the multiple user and the patient in various time points;Computing unit 506 is used for basis Other users and the patient calculate other users and the patient's in the positional relationship of the various time points Exposure level;Predicting unit 508 is used to be predicted as suffering from by the target user for being higher than predetermined threshold with the exposure level of the patient The people at highest risk of disease.
In one embodiment of the invention, the computing unit 506 is used for: according to other users and the patient Distance between the position of the various time points determines other users in the multiplicity of infection of the various time points; According to other users in the multiplicity of infection of the various time points, the contact journey of other users and the patient are calculated Degree.
In one embodiment of the invention, the computing unit 506 is used for: based on anti-between distance and multiplicity of infection Correlativity determines other users in the multiplicity of infection of the various time points.
In one embodiment of the invention, the computing unit 506 is used for: to other users when described each Between the multiplicity of infection put sum, and using obtain and value as the exposure level of other users and the patient.
In one embodiment of the invention, the processing unit 504 is also used to obtain the people at highest risk of illness in prediction Later, according to the activity trajectory of the multiple user, the determining exposure level with the people at highest risk is higher than the predetermined threshold User;The predicting unit 506 is also used to that the user of the predetermined threshold will be higher than with the exposure level of the people at highest risk It is predicted as the people at highest risk of illness.
In one embodiment of the invention, the acquisition unit 502 is used for: acquiring the multiple use every scheduled duration Location information in family where each user generates the activity trajectory of each user with the result according to multi collect.
In one embodiment of the invention, the predetermined threshold is associated with the type of the suffered from infectious disease of the patient.
In one embodiment of the invention, the disease forecasting device 500 further include: transmission unit;The processing Unit 504 is also used to the height of the exposure level according to the people at highest risk Yu the patient, determines the sense of the people at highest risk Contaminate grade;The transmission unit is used to send to designated person for the warning information of the people at highest risk and/or to the height The intervention of danger crowd handles information, wherein the warning information includes the infection grade.
In one embodiment of the invention, the disease forecasting device further include: acquiring unit, it is described for obtaining The visiting information of the visitor of patient and/or the people at highest risk;Second determination unit, for the visiting information according to the visitor Determine the infection risk of the visitor;Notification unit, for notifying the infection risk to the visitor.
Due to each functional module and above-mentioned disease forecasting method of the disease forecasting device of example embodiments of the present invention Example embodiment the step of it is corresponding, therefore for undisclosed details in apparatus of the present invention embodiment, please refer in the present invention The embodiment for the disease forecasting method stated.
Below with reference to Fig. 6, it illustrates the computer systems 600 for the electronic equipment for being suitable for being used to realize the embodiment of the present invention Structural schematic diagram.The computer system 600 of electronic equipment shown in Fig. 6 is only an example, should not be to the embodiment of the present invention Function and use scope bring any restrictions.
As shown in fig. 6, computer system 600 includes central processing unit (CPU) 601, it can be read-only according to being stored in Program in memory (ROM) 602 or be loaded into the program in random access storage device (RAM) 603 from storage section 608 and Execute various movements appropriate and processing.In RAM 603, it is also stored with various programs and data needed for system operatio.CPU 601, ROM 602 and RAM 603 is connected with each other by bus 604.Input/output (I/O) interface 605 is also connected to bus 604。
I/O interface 605 is connected to lower component: the importation 606 including keyboard, mouse etc.;It is penetrated including such as cathode The output par, c 607 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.;Storage section 608 including hard disk etc.; And the communications portion 609 of the network interface card including LAN card, modem etc..Communications portion 609 via such as because The network of spy's net executes communication process.Driver 610 is also connected to I/O interface 605 as needed.Detachable media 611, such as Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 610, in order to read from thereon Computer program be mounted into storage section 608 as needed.
Particularly, according to an embodiment of the invention, may be implemented as computer above with reference to the process of flow chart description Software program.For example, the embodiment of the present invention includes a kind of computer program product comprising be carried on computer-readable medium On computer program, which includes the program code for method shown in execution flow chart.In such reality It applies in example, which can be downloaded and installed from network by communications portion 609, and/or from detachable media 611 are mounted.When the computer program is executed by central processing unit (CPU) 601, executes and limited in the system of the application Above-mentioned function.
It should be noted that computer-readable medium shown in the present invention can be computer-readable signal media or meter Calculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but not Be limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Meter The more specific example of calculation machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, just of one or more conducting wires Taking formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only storage Device (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device, Or above-mentioned any appropriate combination.In the present invention, computer readable storage medium can be it is any include or storage journey The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.And at this In invention, computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal, Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for By the use of instruction execution system, device or device or program in connection.Include on computer-readable medium Program code can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. are above-mentioned Any appropriate combination.
Flow chart and block diagram in attached drawing are illustrated according to the system of various embodiments of the invention, method and computer journey The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation A part of one module, program segment or code of table, a part of above-mentioned module, program segment or code include one or more Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants It is noted that the combination of each box in block diagram or flow chart and the box in block diagram or flow chart, can use and execute rule The dedicated hardware based systems of fixed functions or operations is realized, or can use the group of specialized hardware and computer instruction It closes to realize.
Being described in unit involved in the embodiment of the present invention can be realized by way of software, can also be by hard The mode of part realizes that described unit also can be set in the processor.Wherein, the title of these units is in certain situation Under do not constitute restriction to the unit itself.
As on the other hand, present invention also provides a kind of computer-readable medium, which be can be Included in electronic equipment described in above-described embodiment;It is also possible to individualism, and without in the supplying electronic equipment. Above-mentioned computer-readable medium carries one or more program, when the electronics is set by one for said one or multiple programs When standby execution, so that the electronic equipment realizes such as above-mentioned disease forecasting method as described in the examples.
For example, the electronic equipment may be implemented as shown in Figure 1: step S110 acquires the activity of multiple users Track;Step S120, if occurring the patient for being diagnosed as infectious disease in the multiple user, according to the multiple user predetermined Activity trajectory in period determines that the other users and the patient in the multiple user are closed in the position of various time points System;Step S130 is calculated described other according to other users and the patient in the positional relationship of the various time points The exposure level of user and the patient;Step S140 uses the target for being higher than predetermined threshold with the exposure level of the patient Family is predicted as the people at highest risk of illness.
For another example, each step as shown in Figure 2 may be implemented in the electronic equipment.
It should be noted that although being referred to several modules or list for acting the equipment executed in the above detailed description Member, but this division is not enforceable.In fact, embodiment according to the present invention, it is above-described two or more Module or the feature and function of unit can embody in a module or unit.Conversely, an above-described mould The feature and function of block or unit can be to be embodied by multiple modules or unit with further division.
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the present invention The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating Equipment (can be personal computer, server, touch control terminal or network equipment etc.) executes embodiment according to the present invention Method.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to of the invention its Its embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes or Person's adaptive change follows general principle of the invention and including the undocumented common knowledge in the art of the present invention Or conventional techniques.The description and examples are only to be considered as illustrative, and true scope and spirit of the invention are by following Claim is pointed out.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is limited only by the attached claims.

Claims (10)

1. a kind of disease forecasting method characterized by comprising
Acquire the activity trajectory of multiple users;
If occurring the patient for being diagnosed as infectious disease in the multiple user, within a predetermined period of time according to the multiple user Activity trajectory determines other users in the multiple user and the patient in the positional relationship of various time points;
According to other users and the patient in the positional relationship of the various time points, other users and institute are calculated State the exposure level of patient;
The target user for being higher than predetermined threshold with the exposure level of the patient is predicted as to the people at highest risk of illness.
2. disease forecasting method according to claim 1, which is characterized in that existed according to other users and the patient The positional relationship of the various time points calculates the exposure level of other users and the patient, comprising:
According to other users at a distance from the patient is between the position of the various time points, other use are determined Multiplicity of infection of the family in the various time points;
According to other users in the multiplicity of infection of the various time points, connecing for other users and the patient is calculated Touching degree.
3. disease forecasting method according to claim 2, which is characterized in that according to other users when described each Between the multiplicity of infection put, calculate the exposure level of other users and the patient, comprising:
Sum to other users in the multiplicity of infection of the various time points, and using obtain and value as described in its The exposure level of its user and the patient.
4. disease forecasting method according to claim 1, which is characterized in that further include:
After prediction obtains the people at highest risk of illness, according to the activity trajectory of the multiple user, the determining and high-risk people The exposure level of group is higher than the user of the predetermined threshold;
It is the people at highest risk of illness by the user in predicting for being higher than the predetermined threshold with the exposure level of the people at highest risk.
5. disease forecasting method according to claim 1, which is characterized in that acquire the activity trajectory of multiple users, comprising:
The location information in the multiple user where each user is acquired every scheduled duration, according to the result of multi collect Generate the activity trajectory of each user.
6. disease forecasting method according to any one of claim 1 to 5, which is characterized in that further include:
According to the height of the people at highest risk and the exposure level of the patient, the infection grade of the people at highest risk is determined;
The warning information for the people at highest risk is sent to designated person and/or the intervention to the people at highest risk handles letter Breath, wherein the warning information includes the infection grade.
7. disease forecasting method according to any one of claim 1 to 5, which is characterized in that further include:
Obtain the visiting information of the visitor of the patient and/or the people at highest risk;
The infection risk of the visitor is determined according to the visiting information of the visitor;
The infection risk is notified to the visitor.
8. a kind of disease forecasting device characterized by comprising
Acquisition unit, for acquiring the activity trajectory of multiple users;
Processing unit exists when for occurring the patient for being diagnosed as infectious disease in the multiple user according to the multiple user Activity trajectory in predetermined amount of time determines other users in the multiple user with the patient in the position of various time points Set relationship;
Computing unit, for, in the positional relationship of the various time points, calculating institute according to other users and the patient State the exposure level of other users Yu the patient;
Predicting unit, for the target user for being higher than predetermined threshold with the exposure level of the patient to be predicted as the high-risk of illness Crowd.
9. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that described program is executed by processor Disease forecasting method of the Shi Shixian as described in any one of claims 1 to 7.
10. a kind of electronic equipment characterized by comprising
One or more processors;
Storage device, for storing one or more programs, when one or more of programs are by one or more of processing When device executes, so that one or more of processors realize the disease forecasting side as described in any one of claims 1 to 7 Method.
CN201810724808.2A 2018-07-04 2018-07-04 Disease forecasting method, apparatus, medium and electronic equipment Pending CN108986921A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810724808.2A CN108986921A (en) 2018-07-04 2018-07-04 Disease forecasting method, apparatus, medium and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810724808.2A CN108986921A (en) 2018-07-04 2018-07-04 Disease forecasting method, apparatus, medium and electronic equipment

Publications (1)

Publication Number Publication Date
CN108986921A true CN108986921A (en) 2018-12-11

Family

ID=64536198

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810724808.2A Pending CN108986921A (en) 2018-07-04 2018-07-04 Disease forecasting method, apparatus, medium and electronic equipment

Country Status (1)

Country Link
CN (1) CN108986921A (en)

Cited By (80)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109712719A (en) * 2018-12-29 2019-05-03 杭州平普智能科技有限公司 A kind of crowd's partition method and device based on infection pathogeny
CN111063450A (en) * 2020-02-17 2020-04-24 深圳市刷新智能电子有限公司 Epidemic suspected person screening method and system based on wearable body temperature sensor
CN111261301A (en) * 2020-02-13 2020-06-09 姜通渊 Big data infectious disease prevention and control method and system
CN111343625A (en) * 2020-04-13 2020-06-26 北京智源人工智能研究院 Personnel contact judgment method and equipment
CN111341463A (en) * 2020-03-17 2020-06-26 腾讯科技(深圳)有限公司 Epidemic situation investigation method and device, computer equipment and storage medium
CN111342916A (en) * 2020-04-13 2020-06-26 北京智源人工智能研究院 Personnel management and control method and system
CN111354472A (en) * 2020-02-20 2020-06-30 戴建荣 Infectious disease transmission monitoring and early warning system and method
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
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
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
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
CN111430041A (en) * 2020-03-26 2020-07-17 北京懿医云科技有限公司 Infectious disease epidemic situation prediction method and device, storage medium and electronic equipment
CN111446006A (en) * 2020-04-08 2020-07-24 陈恬慧 Method for tracking close contact person in epidemic situation of infectious disease
CN111447552A (en) * 2020-03-26 2020-07-24 深圳中兴网信科技有限公司 Crowd track cross identification method, system and device and readable storage medium
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
CN111462380A (en) * 2020-03-30 2020-07-28 重庆特斯联智慧科技股份有限公司 Intelligent community management method and system based on Internet of things
CN111460330A (en) * 2020-03-30 2020-07-28 腾讯科技(深圳)有限公司 Data processing method, device, equipment and storage medium
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
CN111460329A (en) * 2020-03-30 2020-07-28 鹏城实验室 Information query method, system, terminal and computer storage medium
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
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
CN111508608A (en) * 2020-04-14 2020-08-07 百度在线网络技术(北京)有限公司 Method, device and equipment for processing disease information and 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
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
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
CN111539253A (en) * 2020-03-24 2020-08-14 深圳英飞拓科技股份有限公司 Face detection method, device, terminal and storage medium
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
CN111554407A (en) * 2020-04-16 2020-08-18 深圳中兴网信科技有限公司 Crowd marking method, system and computer readable storage medium
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
CN111557648A (en) * 2020-03-23 2020-08-21 广东艾诗凯奇智能科技有限公司 Health detection system, method 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
CN111584092A (en) * 2020-05-20 2020-08-25 捷普电子(无锡)有限公司 Information determination method, device, system and server
CN111653358A (en) * 2020-05-29 2020-09-11 鹏城实验室 Infection risk assessment method, first terminal and computer storage medium
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
CN111683341A (en) * 2020-06-09 2020-09-18 中电达通数据技术股份有限公司 Suspected infected person matrix radar implementation method based on Wi-Fi data
CN111711925A (en) * 2020-06-04 2020-09-25 中国联合网络通信集团有限公司 Method and device for judging close contact person
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
CN111724909A (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 combining RPA and AI
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
CN111755130A (en) * 2020-06-02 2020-10-09 RealMe重庆移动通信有限公司 Prevention and control method and device, terminal, prevention and control system and readable storage medium
CN111743522A (en) * 2020-06-15 2020-10-09 武汉理工大学 Intelligent terminal early warning system of epidemic situation prevention and control
CN111770482A (en) * 2020-06-12 2020-10-13 戴建荣 Mobile ranging method suitable for intelligent equipment and application
CN111768594A (en) * 2020-07-23 2020-10-13 Oppo广东移动通信有限公司 Close contact judgment method and device, computer equipment and storage medium
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
CN111815123A (en) * 2020-06-17 2020-10-23 广州市泰睿科技有限公司 Riding safety control method and device based on riding voucher
CN111816311A (en) * 2020-07-22 2020-10-23 北京捷通华声科技股份有限公司 State identification method, system and device
CN111833599A (en) * 2020-05-29 2020-10-27 广东岭南通股份有限公司 Close contact person early warning method and system for sudden public health safety event
CN111863270A (en) * 2020-05-20 2020-10-30 京东城市(北京)数字科技有限公司 Disease infection probability determination method, device, system and storage medium
CN111885498A (en) * 2020-07-13 2020-11-03 中国联合网络通信集团有限公司 Prediction method and prediction device for emergency response grade
CN112037465A (en) * 2020-03-02 2020-12-04 电子科技大学 Epidemic situation prevention and control method, device, server and storage medium
CN112098928A (en) * 2020-06-03 2020-12-18 苏州触达信息技术有限公司 Method, device, server and computer readable storage medium for determining contacter
CN112135261A (en) * 2020-09-23 2020-12-25 维沃移动通信有限公司 Potential infector determination method, device, electronic equipment and storage medium
CN112203231A (en) * 2020-10-10 2021-01-08 深圳壹账通智能科技有限公司 Infectious disease tracking method, infectious disease tracking device, electronic equipment and storage medium
CN112216387A (en) * 2020-09-02 2021-01-12 成都大汇智联科技有限公司 Rework and production recovery management method and system based on cloud data platform
CN112330742A (en) * 2020-11-03 2021-02-05 盈合(深圳)机器人与自动化科技有限公司 Method and device for recording activity routes of key personnel in public area
CN112366000A (en) * 2020-11-25 2021-02-12 重庆市卫生健康统计信息中心 Method for predicting number of specific population in region during infectious disease transmission
CN112507043A (en) * 2020-05-11 2021-03-16 浙江每日互动网络科技股份有限公司 Terminal data processing system
CN112507046A (en) * 2020-05-11 2021-03-16 浙江每日互动网络科技股份有限公司 Terminal data processing system
CN112507044A (en) * 2020-05-11 2021-03-16 浙江每日互动网络科技股份有限公司 Terminal data processing system
CN112507045A (en) * 2020-05-11 2021-03-16 浙江每日互动网络科技股份有限公司 Terminal data processing system
CN112599253A (en) * 2020-12-29 2021-04-02 医渡云(北京)技术有限公司 Method, device, equipment and medium for determining epidemic situation propagation path according to close contact map
CN112635073A (en) * 2020-12-18 2021-04-09 四川省疾病预防控制中心 Method and device for checking close contact person, computer equipment and storage medium
CN112883416A (en) * 2021-01-31 2021-06-01 淮航 Travel tracking data privacy protection method and device
CN113035367A (en) * 2021-03-26 2021-06-25 中国工商银行股份有限公司 Infectious disease group infection trend prediction method, device, equipment and storage medium
CN113301507A (en) * 2020-02-24 2021-08-24 华为技术有限公司 Information processing method, device and system
WO2021184881A1 (en) * 2020-03-17 2021-09-23 支付宝(杭州)信息技术有限公司 Service processing method and apparatus
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
CN113496780A (en) * 2020-03-19 2021-10-12 北京中科闻歌科技股份有限公司 Method, device, server and storage medium for predicting number of confirmed diagnoses of infectious diseases
WO2021208563A1 (en) * 2020-04-13 2021-10-21 华为技术有限公司 Communication method, apparatus and system
CN113539513A (en) * 2021-08-03 2021-10-22 卫宁健康科技集团股份有限公司 Patient track tracing method, system, computer equipment and storage medium
CN113555074A (en) * 2021-08-26 2021-10-26 中国医学科学院阜外医院 Epidemiology investigation device and method
CN113742606A (en) * 2020-05-29 2021-12-03 京东城市(北京)数字科技有限公司 Object identification method and device, electronic equipment and readable storage medium
CN113823415A (en) * 2020-06-18 2021-12-21 香港奇岱松科技有限公司 System and application for improving health safety of people in environment against infectious diseases
CN113820040A (en) * 2020-06-19 2021-12-21 青岛海尔空调器有限总公司 Body temperature detection method based on air conditioner and cloud server
CN113852916A (en) * 2020-06-26 2021-12-28 丰田自动车株式会社 Information processing system, information processing method, and recording 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
CN113938835A (en) * 2020-07-13 2022-01-14 华为技术有限公司 Method and device for determining close contact terminal equipment
WO2022142685A1 (en) * 2020-12-29 2022-07-07 医渡云(北京)技术有限公司 Infection probability prediction method and apparatus for infectious disease, storage medium and electronic device
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

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102043893A (en) * 2009-10-13 2011-05-04 北京大学 Disease pre-warning method and system
CN105740615A (en) * 2016-01-28 2016-07-06 中山大学 Method for tracking infection sources and predicting trends of infectious diseases by utilizing mobile phone tracks
CN107220482A (en) * 2017-05-09 2017-09-29 清华大学 Respiratory infectious disease risk evaluating system and appraisal procedure
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

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102043893A (en) * 2009-10-13 2011-05-04 北京大学 Disease pre-warning method and system
CN105740615A (en) * 2016-01-28 2016-07-06 中山大学 Method for tracking infection sources and predicting trends of infectious diseases by utilizing mobile phone tracks
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
CN107220482A (en) * 2017-05-09 2017-09-29 清华大学 Respiratory infectious disease risk evaluating system and appraisal procedure

Cited By (103)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109712719A (en) * 2018-12-29 2019-05-03 杭州平普智能科技有限公司 A kind of crowd's partition method and device based on infection pathogeny
CN111261301A (en) * 2020-02-13 2020-06-09 姜通渊 Big data infectious disease prevention and control method and system
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
CN111063450A (en) * 2020-02-17 2020-04-24 深圳市刷新智能电子有限公司 Epidemic suspected person screening method and system based on wearable body temperature sensor
CN111354472A (en) * 2020-02-20 2020-06-30 戴建荣 Infectious disease transmission monitoring and early warning system and method
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
CN113301507A (en) * 2020-02-24 2021-08-24 华为技术有限公司 Information processing method, device and system
CN112037465B (en) * 2020-03-02 2022-02-22 电子科技大学 Epidemic situation prevention and control method, device, server and storage medium
CN112037465A (en) * 2020-03-02 2020-12-04 电子科技大学 Epidemic situation prevention and control method, device, server and storage medium
CN111341463A (en) * 2020-03-17 2020-06-26 腾讯科技(深圳)有限公司 Epidemic situation investigation method and device, computer equipment and storage medium
WO2021184881A1 (en) * 2020-03-17 2021-09-23 支付宝(杭州)信息技术有限公司 Service processing method and apparatus
CN111341463B (en) * 2020-03-17 2023-08-15 腾讯科技(深圳)有限公司 Epidemic situation investigation method, device, computer equipment and storage medium
CN113496780A (en) * 2020-03-19 2021-10-12 北京中科闻歌科技股份有限公司 Method, device, server and storage medium for predicting number of confirmed diagnoses of infectious diseases
CN113496780B (en) * 2020-03-19 2023-11-03 北京中科闻歌科技股份有限公司 Method, device, server and storage medium for predicting number of infectious disease diagnostician
CN111436941B (en) * 2020-03-23 2021-12-07 未来穿戴技术有限公司 Reminding system and method for potential disease prevention and server
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
CN111557648A (en) * 2020-03-23 2020-08-21 广东艾诗凯奇智能科技有限公司 Health detection system, method and equipment
CN111539253A (en) * 2020-03-24 2020-08-14 深圳英飞拓科技股份有限公司 Face detection method, device, terminal and storage medium
CN111539253B (en) * 2020-03-24 2024-03-05 深圳英飞拓仁用信息有限公司 Face detection method, device, terminal and storage medium
CN111447552A (en) * 2020-03-26 2020-07-24 深圳中兴网信科技有限公司 Crowd track cross identification method, system and device and readable storage medium
CN111430041A (en) * 2020-03-26 2020-07-17 北京懿医云科技有限公司 Infectious disease epidemic situation prediction method and device, storage medium and electronic equipment
CN111460329A (en) * 2020-03-30 2020-07-28 鹏城实验室 Information query method, system, terminal and computer storage medium
CN111462380A (en) * 2020-03-30 2020-07-28 重庆特斯联智慧科技股份有限公司 Intelligent community management method and system based on Internet of things
CN111460330A (en) * 2020-03-30 2020-07-28 腾讯科技(深圳)有限公司 Data processing method, device, equipment and storage medium
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
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
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
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
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
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
CN111446006A (en) * 2020-04-08 2020-07-24 陈恬慧 Method for tracking close contact person in epidemic situation of infectious disease
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
CN111342916A (en) * 2020-04-13 2020-06-26 北京智源人工智能研究院 Personnel management and control method and system
CN111343625B (en) * 2020-04-13 2020-08-14 北京智源人工智能研究院 Personnel contact judgment method and equipment
CN111343625A (en) * 2020-04-13 2020-06-26 北京智源人工智能研究院 Personnel contact judgment method and equipment
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
CN113543015A (en) * 2020-04-13 2021-10-22 华为技术有限公司 Communication method, device and system
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
WO2021208563A1 (en) * 2020-04-13 2021-10-21 华为技术有限公司 Communication method, apparatus and 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
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
CN111508608B (en) * 2020-04-14 2023-09-26 百度在线网络技术(北京)有限公司 Disease information processing method, device, equipment and storage medium
CN111508608A (en) * 2020-04-14 2020-08-07 百度在线网络技术(北京)有限公司 Method, device and equipment for processing disease information and storage medium
CN111554407A (en) * 2020-04-16 2020-08-18 深圳中兴网信科技有限公司 Crowd marking method, system and computer readable storage medium
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
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
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
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
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
CN112507046B (en) * 2020-05-11 2022-08-05 每日互动股份有限公司 Terminal data processing system
CN112507045A (en) * 2020-05-11 2021-03-16 浙江每日互动网络科技股份有限公司 Terminal data processing system
CN112507044A (en) * 2020-05-11 2021-03-16 浙江每日互动网络科技股份有限公司 Terminal data processing system
CN112507046A (en) * 2020-05-11 2021-03-16 浙江每日互动网络科技股份有限公司 Terminal data processing system
CN112507043A (en) * 2020-05-11 2021-03-16 浙江每日互动网络科技股份有限公司 Terminal data processing system
CN111863270A (en) * 2020-05-20 2020-10-30 京东城市(北京)数字科技有限公司 Disease infection probability determination method, device, system and storage medium
CN111584092A (en) * 2020-05-20 2020-08-25 捷普电子(无锡)有限公司 Information determination method, device, system and server
CN111833599A (en) * 2020-05-29 2020-10-27 广东岭南通股份有限公司 Close contact person early warning method and system for sudden public health safety event
CN111653358A (en) * 2020-05-29 2020-09-11 鹏城实验室 Infection risk assessment method, first terminal and computer storage medium
CN113742606A (en) * 2020-05-29 2021-12-03 京东城市(北京)数字科技有限公司 Object identification method and device, electronic equipment and readable storage medium
CN111755130A (en) * 2020-06-02 2020-10-09 RealMe重庆移动通信有限公司 Prevention and control method and device, terminal, prevention and control system and readable storage medium
CN112098928B (en) * 2020-06-03 2023-10-24 苏州触达信息技术有限公司 Method, apparatus, server and computer readable storage medium for determining contactor
CN112098928A (en) * 2020-06-03 2020-12-18 苏州触达信息技术有限公司 Method, device, server and computer readable storage medium for determining contacter
CN111711925A (en) * 2020-06-04 2020-09-25 中国联合网络通信集团有限公司 Method and device for judging close contact person
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
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
CN111683341A (en) * 2020-06-09 2020-09-18 中电达通数据技术股份有限公司 Suspected infected person matrix radar implementation method based on Wi-Fi data
CN111770482A (en) * 2020-06-12 2020-10-13 戴建荣 Mobile ranging method suitable for intelligent equipment and application
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
CN111743522A (en) * 2020-06-15 2020-10-09 武汉理工大学 Intelligent terminal early warning system of epidemic situation prevention and control
CN111815123A (en) * 2020-06-17 2020-10-23 广州市泰睿科技有限公司 Riding safety control method and device based on riding voucher
CN113823415A (en) * 2020-06-18 2021-12-21 香港奇岱松科技有限公司 System and application for improving health safety of people in environment against infectious diseases
CN113820040B (en) * 2020-06-19 2023-12-19 青岛海尔空调器有限总公司 Body temperature detection method based on air conditioner and cloud server
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
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
CN113820040A (en) * 2020-06-19 2021-12-21 青岛海尔空调器有限总公司 Body temperature detection method based on air conditioner and cloud server
CN113852916B (en) * 2020-06-26 2024-04-05 丰田自动车株式会社 Information processing system, information processing method, and recording medium
CN113852916A (en) * 2020-06-26 2021-12-28 丰田自动车株式会社 Information processing system, information processing method, and recording 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
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
CN111724909A (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 combining RPA and AI
CN111885498A (en) * 2020-07-13 2020-11-03 中国联合网络通信集团有限公司 Prediction method and prediction device for emergency response grade
CN113938835A (en) * 2020-07-13 2022-01-14 华为技术有限公司 Method and device for determining close contact terminal equipment
CN111816311A (en) * 2020-07-22 2020-10-23 北京捷通华声科技股份有限公司 State identification method, system and device
CN111768594A (en) * 2020-07-23 2020-10-13 Oppo广东移动通信有限公司 Close contact judgment method and device, computer equipment and storage medium
CN112216387A (en) * 2020-09-02 2021-01-12 成都大汇智联科技有限公司 Rework and production recovery management method and system based on cloud data platform
CN112216387B (en) * 2020-09-02 2024-04-09 成都大汇智联科技有限公司 Reworking and production management method and system based on cloud data platform
CN112135261A (en) * 2020-09-23 2020-12-25 维沃移动通信有限公司 Potential infector determination method, device, electronic equipment and storage medium
CN112203231A (en) * 2020-10-10 2021-01-08 深圳壹账通智能科技有限公司 Infectious disease tracking method, infectious disease tracking device, electronic equipment and storage medium
CN112330742A (en) * 2020-11-03 2021-02-05 盈合(深圳)机器人与自动化科技有限公司 Method and device for recording activity routes of key personnel in public area
CN112366000A (en) * 2020-11-25 2021-02-12 重庆市卫生健康统计信息中心 Method for predicting number of specific population in region during infectious disease transmission
CN112635073A (en) * 2020-12-18 2021-04-09 四川省疾病预防控制中心 Method and device for checking close contact person, computer equipment and storage medium
CN112599253A (en) * 2020-12-29 2021-04-02 医渡云(北京)技术有限公司 Method, device, equipment and medium for determining epidemic situation propagation path according to close contact map
CN112599253B (en) * 2020-12-29 2022-04-15 医渡云(北京)技术有限公司 Method, device, equipment and medium for determining epidemic situation propagation path according to close contact map
WO2022142685A1 (en) * 2020-12-29 2022-07-07 医渡云(北京)技术有限公司 Infection probability prediction method and apparatus for infectious disease, storage medium and electronic device
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
CN113035367A (en) * 2021-03-26 2021-06-25 中国工商银行股份有限公司 Infectious disease group infection trend prediction method, device, equipment and storage medium
CN113035367B (en) * 2021-03-26 2024-02-27 中国工商银行股份有限公司 Infectious disease group infection trend prediction method, device, equipment and storage medium
CN113539513A (en) * 2021-08-03 2021-10-22 卫宁健康科技集团股份有限公司 Patient track tracing method, system, computer equipment and storage medium
CN113555074A (en) * 2021-08-26 2021-10-26 中国医学科学院阜外医院 Epidemiology investigation device and method

Similar Documents

Publication Publication Date Title
CN108986921A (en) Disease forecasting method, apparatus, medium and electronic equipment
Latif et al. Leveraging data science to combat COVID-19: A comprehensive review
Wagenaar et al. The 2014–2015 Ebola virus disease outbreak and primary healthcare delivery in Liberia: Time-series analyses for 2010–2016
US20200294680A1 (en) Advanced smart pandemic and infectious disease response engine
Aleta et al. Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas
Duque et al. Timing social distancing to avert unmanageable COVID-19 hospital surges
US9734301B2 (en) Intelligent presentation of alarms and messages in mobile health systems
US20170024531A1 (en) Systems and methods for near-real or real-time contact tracing
CN110140364A (en) Real-time locating platform Beacon Protocol system and method
WO2021211155A1 (en) System and method to manage safe physical distancing between entities
JP2017117416A (en) Infection candidate specifying device, infection candidate specifying method, and infection candidate specifying program
CN105593680B (en) Cooperation Electronic Nose management in personal device
Ahmad et al. Emerging technologies for next generation remote health care and assisted living
Maghdid et al. A smartphone enabled approach to manage COVID-19 lockdown and economic crisis
Mehrdad et al. Perspective: Wearable internet of medical things for remote tracking of symptoms, prediction of health anomalies, implementation of preventative measures, and control of virus spread during the era of covid-19
US11257587B1 (en) Computer-based systems, improved computing components and/or improved computing objects configured for real time actionable data transformations to administer healthcare facilities and methods of use thereof
US20220037029A1 (en) Infectious disease heat map and prediction model generation
CN109102869A (en) Medical data management method, device, medium and electronic equipment based on block chain
KR20220157421A (en) Systems and methods for communicable disease surveillance and outbreak detection
Song et al. Digital twin aided healthcare facility management: a case study of Shanghai tongji hospital
CN114724727A (en) Epidemic situation prediction method and electronic equipment
Pandey et al. CoronaGo Website Integrated with Chatbot for COVID-19 Tracking.
Prodhan et al. Design and implementation of an advanced telemedicine model for the rural people of Bangladesh
Saha et al. Impact of healthcare 4.0 technologies for future capacity building to control epidemic diseases
CN110459283A (en) System input method, device, medium and the electronic equipment of clinical data

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20181211