CN114038571A

CN114038571A - Infectious disease tracking method, device, equipment and storage medium

Info

Publication number: CN114038571A
Application number: CN202111359385.7A
Authority: CN
Inventors: 范春; 杨吴婕; 徐安琪; 徐一涵; 金灿; 马洁; 何慧敏; 王涛; 周炜; 赵大平
Original assignee: Winning Health Technology Group Co Ltd
Current assignee: Winning Health Technology Group Co Ltd
Priority date: 2021-11-17
Filing date: 2021-11-17
Publication date: 2022-02-11

Abstract

The application provides an infectious disease tracking method, an infectious disease tracking device, an infectious disease tracking equipment and a storage medium, wherein the method comprises the following steps: according to medical and health records of the confirmed object in the infectious disease tracing period, the object which is in suspected direct contact with the confirmed object is determined to be a first suspected tight-sealing object of a first screening echelon of the confirmed object in a plurality of screening echelons, wherein the plurality of screening echelons are used for indicating the infection grade of the confirmed object corresponding to the infectious disease, and according to the first suspected tight-sealing object, suspected tight-sealing objects of other screening echelons of the confirmed object in the plurality of screening echelons are determined layer by layer. The screening efficiency and the screening accuracy of the suspected close contact object are improved.

Description

Infectious disease tracking method, device, equipment and storage medium

Technical Field

The present application relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a storage medium for tracking an infectious disease.

Background

Infectious disease is a disease that can be transmitted from person to person or from person to animal and is widely prevalent. The control of the infectious source, the cutting off of the transmission path and the protection of susceptible people are the prevention and control principles of infectious diseases, wherein early discovery, early isolation and early treatment are important measures for preventing and controlling infectious diseases.

Current epidemiological investigation methods include two, one is manual verification of personal basic information, health status, recent trips of the relevant persons who may be suspected of being in close contact. There is a need to rely on parties to dictate or recall recent trips with the aid of software. Meanwhile, infection chain investigation is carried out according to the social relationship network of the suspected close contact object; and the other method is to track suspected closely contacted objects through health codes of a national government affairs service platform, data of communication operators, records of code scanning or registration in and out of public places and the like.

However, manual screening results in long screening period and low efficiency, while screening of records by code scanning or registration results in low screening accuracy due to the fact that most scenes cannot be precisely located.

Disclosure of Invention

It is an object of the present application to provide an infectious disease tracking method, device, apparatus and storage medium to improve the screening efficiency and accuracy of a suspected object in close contact with the object.

In order to achieve the above purpose, the technical solutions adopted in the embodiments of the present application are as follows:

in a first aspect, an embodiment of the present application provides an infectious disease tracking method, including:

according to medical and health records of confirmed objects in an infectious disease tracing period, determining that an object which is suspected to be in direct contact with the confirmed objects is a first suspected tight object of a first screening ladder of the confirmed objects in a plurality of screening ladders, wherein the screening ladders are used for indicating the infection level of the corresponding infectious diseases of the confirmed objects;

and according to the first suspected close-fitting object, determining the suspected close-fitting objects of the confirmed object in other screening echelons in the plurality of screening echelons layer by layer.

Optionally, the determining, according to the medical and health record of a diagnosed object in an infectious disease retrospective period, that an object suspected to be in direct contact with the diagnosed object is a first suspected close-fitting object of a first screening ladder of the diagnosed object among a plurality of screening ladders includes:

acquiring the occurrence place of the medical and health event of the diagnosed object according to the medical and health record;

if the occurrence place is a medical institution, determining first diagnosis objects meeting corresponding preset queuing screening conditions from the diagnosis objects queued with the diagnosis objects for multiple times respectively;

and determining the first clinic object and the admission and docking object of the confirmed object as the first suspected close-contact object.

Optionally, the determining, layer by layer and in a hierarchical manner, the suspected close-fitting objects of the confirmed object in other screening ladders of the multiple screening ladders according to the first suspected close-fitting object includes:

respectively determining second clinic objects meeting the corresponding preset queuing screening conditions from the clinic objects queued during the second clinic visit with the first clinic object;

acquiring a third diagnosis subject of the hospitalization docking subject within a preset time period from the diagnosis time of the diagnosis subject;

determining a secondary admission docking object of the first medical treatment object, wherein the secondary admission docking object is a docking object of the first medical treatment object at the time of secondary medical treatment;

determining that the second and third subjects and the secondary hospitalization docking subject are the third suspected close-contact subjects of the confirmed subjects in the second screening echelon;

and determining the suspected tight-fitting object of the confirmed object in at least one screening echelon after the second screening echelon in the multiple screening echelons layer by layer according to the third suspected tight-fitting object.

Optionally, the determining, according to the medical health record of a diagnosed object in an infectious disease retrospective period, that an object suspected to be in direct contact with the diagnosed object is a first suspected close-fitting object of a first screening ladder of the diagnosed object among a plurality of screening ladders, further includes:

and if the occurrence place is the follow-up place of the confirmed object, determining that the follow-up doctor of the confirmed object is the first suspected close-contact object.

determining that the diagnosed object which is diagnosed by the follow-up doctor in the time period from the follow-up time to the diagnosis confirmed message issuing time is a second suspected close-contact object of the diagnosis confirmed object in a second screening echelon;

and according to the second suspected tight-fitting object, determining the suspected tight-fitting object of the confirmed-diagnosis object in at least one screening echelon after the second screening echelon in the plurality of screening echelons layer by layer.

Optionally, the method further comprises:

acquiring attribute information of the suspected close-contact object of the confirmed object in the plurality of screening echelons;

generating an infectious disease correlation analysis chart aiming at the confirmed diagnosis object according to the suspected close-contact objects of the confirmed diagnosis object in the plurality of screening echelons;

and pushing the attribute information and the infectious disease association analysis chart.

Optionally, the method further comprises:

and constructing infection indexes of the multiple screening ladders according to the infectious disease correlation analysis chart and confirmed objects in suspected close-contact objects in the multiple screening ladders.

In a second aspect, another embodiment of the present application provides an infectious disease tracking device, including:

the screening module is used for determining an object which is suspected to be in direct contact with a diagnosed object as a first suspected tight-contact object of the diagnosed object in a first screening echelon in a plurality of screening echelons according to medical and health records of the diagnosed object in an infectious disease tracing period, wherein the screening echelons are used for indicating the infection level of the infectious disease corresponding to the diagnosed object;

the screening module is further configured to determine, layer by layer, suspected tight-fitting objects of other screening ladders of the confirmed object in the multiple screening ladders according to the first suspected tight-fitting object.

Optionally, the screening module is specifically configured to:

the method for determining that the object which is suspected to be in direct contact with the diagnosed object is the first suspected close-contact object of the diagnosed object in the first screening ladder of a plurality of screening ladders according to the medical and health records of the diagnosed object in the infectious disease tracing period comprises the following steps:

Optionally, the screening module is specifically configured to:

Optionally, the method further comprises:

the acquisition module is used for acquiring the attribute information of the suspected tight-fit object of the confirmed object in the plurality of screening echelons;

the application module is used for generating an infectious disease correlation analysis chart aiming at the confirmed object according to the suspected close-contact object of the confirmed object in the plurality of screening echelons; and pushing the attribute information and the infectious disease association analysis chart.

Optionally, the application module is further configured to:

and constructing an infection index of each screening ladder according to the infectious disease correlation analysis chart and confirmed objects in suspected close-contact objects in the plurality of screening ladders.

In a third aspect, another embodiment of the present application provides an infectious disease tracking apparatus, including: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the infectious disease tracking device is in operation, the processor executing the machine-readable instructions to perform the method of any of the first aspect.

In a fourth aspect, another embodiment of the present application provides a computer-readable storage medium, having a computer program stored thereon, where the computer program is executed by a processor to perform the method according to any one of the above first aspects.

The beneficial effect of this application is:

the application relates to an infectious disease tracking method, an infectious disease tracking device, an infectious disease tracking equipment and a storage medium, wherein the method comprises the following steps: according to medical and health records of the confirmed object in the infectious disease tracing period, the object which is in suspected direct contact with the confirmed object is determined to be a first suspected tight-sealing object of a first screening echelon of the confirmed object in a plurality of screening echelons, wherein the plurality of screening echelons are used for indicating the infection grade of the confirmed object corresponding to the infectious disease, and according to the first suspected tight-sealing object, suspected tight-sealing objects of other screening echelons of the confirmed object in the plurality of screening echelons are determined layer by layer. The screening efficiency and the screening accuracy of the suspected tight-lock object are improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

FIG. 1 is a schematic diagram of an infectious disease tracking system provided by an embodiment of the present application;

FIG. 2 is a diagram illustrating physician-side screening results provided in an embodiment of the present application;

FIG. 3 is a first flowchart illustrating an infectious disease tracking method according to an embodiment of the present application;

FIG. 4 is a second flowchart illustrating an infectious disease tracking method according to an embodiment of the present application;

FIG. 5 is a third schematic flowchart of an infectious disease tracking method provided in an embodiment of the present application;

FIG. 6 shows a fourth flowchart of the infectious disease tracking method provided by the embodiment of the present application;

FIG. 7 is a fifth flowchart illustrating an infectious disease tracking method according to an embodiment of the present application;

FIG. 8 is a schematic diagram illustrating an infectious disease association analysis chart provided by an embodiment of the present application;

FIG. 9 is a schematic diagram illustrating an infectious disease tracking device according to an embodiment of the present application;

fig. 10 is a schematic structural diagram illustrating an infectious disease tracking device according to an embodiment of the present application.

Detailed Description

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of protection of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.

In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.

The terms "first" and "second" in this application are used merely to distinguish some concepts and are not used to imply an ordering of importance.

The current epidemiological investigation methods have the following disadvantages: the method for manually screening the suspected closely-contacted objects has the problems that the parties are hidden, forgotten, inaccurate in information and the like, the screening period is long, the screening efficiency is low, the suspected closely-contacted objects cannot be controlled immediately, the risk of spreading epidemic situations exists, the mode of tracking through data of a communication operator is extensive, if the patients enter large-scale indoor places, most scenes cannot be accurately positioned, historical tracks are absent, and people who really contact the confirmed patients in a short distance are difficult to investigate.

Based on this, in the processing procedures such as flow dispatching, screening, isolation, disinfection, the medical health record of the confirmed object is considered and is used as the information auxiliary support of the processing work such as flow dispatching, screening, isolation, disinfection, and the like, the confirmed object is informed to the suspected medical personnel and the confirmed object in the first time of confirmed diagnosis, the intervention and the reminding are accurately implemented in time, the accurate prevention and control and the multi-side prevention and control are achieved, the confirmed object of infectious diseases can be quickly tracked and reported to a disease control center, the early warning information is quickly pushed to a hospital by the disease control center and reacts and countermeasures are made, the flow dispatching isolation is performed on the hospital, the characteristics of the closely contacted object are determined, and the accurate prevention and control and the multi-side prevention and control are achieved.

Fig. 1 is a schematic diagram illustrating an infectious disease tracking system provided in an embodiment of the present application, which may be provided in an infectious disease tracking apparatus, as shown in fig. 1, the infectious disease tracking system includes: the system comprises an acquisition module 100, a storage module 200, a screening module 300 and an application module 400, extracts relevant information such as patient treatment and the like by acquiring medical records of infectious disease objects of a national health information platform, screens out suspected close contacts according to the infection degree of infectious diseases, and timely and accurately performs intervention and reminding.

The acquisition module 100 can be connected with a national health information platform to realize dynamic acquisition, wherein the national health information platform stores a complete set of electronic medical records of patients of all local networked medical institutions, and meanwhile, the data enter the electronic medical records of residents and health files to be shared and used by all hospitals on the platform. The trigger condition of the acquisition module 100 is that the disease control center issues a diagnosis Information of an infectious disease patient (i.e., a diagnosed object), and a Hospital that the diagnosed object visits during the infectious disease tracing period will acquire a complete set of electronic medical records in time to construct a database in the acquisition module 100, where the complete set of electronic medical records may include, as an example, the electronic medical records of the patient, diagnosis Information, examination Information, infusion Information, medication Information, and medical staff Information shown in tables 1 to 7, where the acquisition module 100 may acquire the medical staff Information from a Hospital Information System (HIS) of each Hospital that the patient visits, and may include a doctor's work number, a name of a department of a medical institution, a scheduling time period, and the like.

TABLE 1

TABLE 2

TABLE 3

TABLE 4

TABLE 5

TABLE 6

TABLE 7

The collection module 100 can also collect blood donation records of infectious disease patients and suspected close contacts, the blood donation records are uploaded to a national health information platform by the blood supply information collection system in a T +1 mode, the national health information platform matches blood donation information according to the number of the blood donator identity document, and therefore the collection module 100 can be connected to the national health information platform for information collection. The mode of T +1 refers to that blood donation information of blood donation on the same day is generally uploaded to a national health information platform on the next day after the summary of the same day. Table 8 shows an example of donor information.

TABLE 8

The storage module 200 is configured to construct a structured storage database based on the data acquired by the acquisition module 100, the storage module 200 may further include a rule base, and the screening module 300 matches and processes the data by reading the rule base, where the rule base includes a queuing and calling rule, a tracing period rule, and an infectious disease screening echelon rule.

First, queuing and calling rules

Hospitals are a crowded place where a large number of hospitalized patients may have close contact with patients with infectious diseases. And determining whether the hospitalized patient is a suspected close contact person of the infectious disease patient, and screening according to records in a hospital queuing and calling system, wherein the screening range is y positions before and after the infectious disease patient. The queuing time of patients in the links of treatment, medicine taking, examination and inspection is different, and the queuing time period on the day has peak value and off-peak difference, so that the y value needs to be determined by a queuing and calling rule base.

The hospital number calling system mainly comprises the following four subsystems:

(1) the outpatient service queuing and calling system is used for processing the problem of the treatment queuing sequence of the outpatient service registered patients to be treated.

(2) The medicine taking queuing number calling system is used for processing the problem of medicine taking queuing sequence of outpatient paid patients to be taken medicine.

(3) The examination queuing and number calling system is used for processing the examination queuing sequence problem of the outpatient paid for the examination and the inpatient applied for the patient to be examined. Wherein, the inspection departments comprise medical departments such as radiology departments, gastroscope centers, ultrasound departments and the like.

(4) The examination queuing and number calling system is used for processing various examination paid by the outpatient service and queuing sequence problems of items to be bled.

In addition, the number of patients gathered in the links with long queue waiting time is large, and the screening range is wider. The system sets a peak period and a valley period according to different flow rates of people in each link of the hospital:

table 9 shows an example of a queuing number-calling rule, where peak periods: 8: 00-10: 00, 13: 00-15: 00; during the off-peak period: other time periods of hospital visit times.

TABLE 9

Second, date-back rule

The close contact person of infectious diseases needs to take quarantine measures in time to avoid further spread of the close contact person as a potential infectious source, the quarantine duration is generally the longest latent period of the infectious diseases, and the traceability period of the system to the suspected close contact person is the quarantine duration. And setting a tracing time rule base to set different infectious disease tracing periods. Table 10 shows an example of the rules for the dates of different infectious diseases.

Watch 10

Third, infectious disease screening echelon rule

The system relates to an infectious disease screening ladder, and the value of the screening ladder is determined by the infectivity of the infectious disease. The infectivity of an infectious disease can be measured as the number of primary regenerations (R0), i.e., the number of average infectious persons in a period of infectivity. When R0 is more than 1, the infectious disease is exponentially increased, and the risk of outbreak and epidemic is high; when R0 is 1, the infectious disease is stable in the population, with the risk of becoming an endemic epidemic; when R0 < 1, the infectious disease gradually disappears. Therefore, the larger the basic regeneration number (R0), the larger the infectivity of infectious disease. Therefore, according to the rule, the rule of screening ladders required by different infectious diseases can be established.

Wherein the first-step screening range is suspected of being close-contact with the patient.

The second-step screening range comprises suspected close-contact persons who are screened out in the first-step screening and are admitted into the hospital for the second time, besides the first-step screening range.

The third-step screening range comprises suspected close-contact persons who are screened out in the second-step screening and are admitted into the hospital for the second time, besides the first-step screening range and the second-step screening range.

Tables 11-12 show an example of R0 mean versus screening ladder correspondence and infectious disease screening ladder rules, respectively.

Mean number of R0	Screening echelon
		0＜R0≤1	1
1＜R0≤10	2
		10＜R0	3

TABLE 11

Disease and disorder	R0	Mean number of R0	Screening echelon
					1	12-18	15	3
2	6-7	6.5	2
				3	5-7	6	2
4	5-7	6	2
				5	5-7	6	2
6	4-7	5.5	2
				7	2-5	3.5	2
8	12-18	15	3
				9	2-5	3.5	2
10	2-3	2.5	2
				11	1.5-2.5	2	2
12	1.4-3.8	2.6	2

TABLE 12

The screening module 300 matches the screening rules in the rule base according to the characteristics of the infectious diseases, and the screening module 300 determines whether the current patient belongs to a suspected person in close contact through screening according to the data stored in the storage module 200.

The specific implementation process is as follows:

(1) infectious disease patients: is set to A1

(2) Suspected of being in intimate contact with the patient: set as set D, with D1, D2 … … Di … … Dn, suspected of being n patients in close contact.

(3) The doctor of receiving a doctor: the groups Y, Y1 and Y2 … … Yi … … YL are the total L doctors in the consultation of infectious disease patients A1.

(4) The suspected close contact patient is treated twice: before close contact patients (set D) are not diagnosed as infectious disease patients, events of secondary hospitalization and diagnosis of the close contact patients (set Di) are captured and tracked in time, the possibility that suspected or potential infectious disease patients exist in the close contact patients Di is considered to be set as set D ', and the close contact patients are set as m persons, namely D ' 1, D ' 2 … … D ' i … … D'm.

(5) The doctor who is suspected to be in close contact with the patient who receives the second treatment: the sets Y ', Y ' 1, Y ' 2 … … Y ' i … … Y ' K are K doctors who visit patient Di in close contact therewith.

The screening module 300 is designed to operate mainly through Structured Query Language (SQL) statements, and screens out doctors and patients whose feedback modules need to track through the statements.

After the medical records of the infectious disease patient are uploaded to a national health information platform in real time, all the records of the patient A1, including the medical institution, the hospital code and the medical institution needing to be traced by suspected close contact persons, in the previous X days (the tracing days can be set according to the infectious disease latency) from the diagnosis date are traced back based on the identification document number of the patient, and the medical institution needing to be traced by the suspected close contact persons is primarily screened out.

Table 13 shows an example of the confirmed case information table.

Watch 13

After determining the hospital at which the patient visits, the healthcare facility department code database is queried based on the patient's identification document number, which in turn determines whether the healthcare facility department contains the patient's identification document number.

Table 14 shows an example of a summary of patient movement trajectories.

TABLE 14

Assuming that the number of a patient in a certain clinic on the same day is the z-th position, the number calling information of y patients before and after screening by the system (y can be determined according to the actual situation of the infectious diseases), and determining the patients in the interval from (z-y) to (z + y) as the first-step screening result according to screening. The screening results include all healthcare facility department codes that match the patient, and the screening results table may be arranged in order of healthcare facility department codes. Table 15-1-15-2 show an example of a first-run screening results table.

TABLE 15-1

TABLE 15-2

During the first-pass screening, a list of physicians that have been treated for the patient is also obtained at a first time, as are medical personnel such as a clinical laboratory physician, pharmacy physician, nurse, and the like. The electronic medical record contains the digital signature of the medical staff, so that the medical staff is suspected to be a close contact person of the patient according to the fact that whether the identification document number of the patient in the electronic medical record matches the digital signature and the digital signature time of the medical staff. And obtaining a list of doctors and other medical staff for the infectious disease patients to receive a treatment according to the screening mode. Table 16 shows an example of a first-run screening results table.

TABLE 16

Assuming that the doctor Yi is a doctor for receiving a patient with infectious diseases, in order to reduce the risk of spreading the infectious diseases, the doctor is continuously screened for the patient received by the doctor, including the medical records of the patient in the general hospital, the branch hospital, the community hospital and other medical institutions. The screening starting date is the date of the diagnosis from the infectious disease patient, and the finishing date is the date of the diagnosis confirming message issued by the infectious disease patient. The patient screening range z begins on the day of the visit until the last patient before the physician finishes his work. And the time node for finishing the work of the doctor is determined according to the schedule of the doctor. The remaining dates range from when the physician started to when the physician ended the work. Table 17 shows an example of a second ladder screening results table.

TABLE 17

On the basis of the disposal measure of the first echelon screening, in order to strengthen epidemic situation prevention and control, before suspected close contact patients are not confirmed to be infectious disease patients, events of secondary hospitalization and diagnosis of the close contact patients need to be grabbed and tracked. The secondary treatment comprises the record of the patient in the home for the double-treatment and the treatment for the patient going to other medical institutions, and the patient needs to be screened according to the department code database of the medical institutions. Taking suspected close-contact person Ai screened in the first step as an example, a record that Ai has a secondary visit is searched, a second step screening is constructed by the same method as the first step screening, and a result of the suspected close-contact person in the second step is obtained firstly. Table 18 shows an example of a second ladder screening results table.

Watch 18

Similarly, similar to the first-pass screening method, the medical personnel who have been treated for the patient are screened. Table 19 shows an example of a second ladder screening results table.

Watch 19

In addition to the above-described conventional mode, the case of home visit by a family doctor (a follow-up doctor) will be considered in the preferred mode. The follow-up records of the home follow-up visit of the patient's family doctor can be traced back based on the patient's identity document number, and an example of a confirmed medical record information table is shown in table 20.

Name: a1
	Identification document number:
follow-up date:
	the follow-up time period is as follows:
a follow-up place:

watch 20

Table 21 shows an example of a first-pass screening results table based on the patient identification document number matching the information of the home physician who received the patient on the day.

TABLE 21

If the family doctor has the treatment record of other medical institutions, the system screens the patients treated by the family doctor. The screening range starting time is the time when the doctor carries out family follow-up visit on the infectious disease patient, and the finishing time is the diagnosis confirming message issuing time of the infectious disease patient. Table 22 shows an example of a second ladder screening results table.

TABLE 22

It should be noted that the national health information platform can also be connected with a family doctor information system to acquire the information of the infectious disease patient, and the patient has a follow-up record displayed in the family doctor information system.

In addition, to avoid the risk of infection due to blood transfusion, the donor screening portion of the screening module 300 may also minimize the risk of blood donation. The identification number of the blood donor is associated with the bar code of the blood bag, each bag of blood is identified by the bar code from the beginning of collection to the whole process of clinical infusion, and the tracing of the blood donor can be realized through the unique bar code.

Patient a1 to be traced has a blood donation record within X days before the date of diagnosis (the number of days to be traced can be set according to the infectious disease latency). All patients with blood donation records are screened according to the method that the blood bag bar code is related to the identification document number of the patient A1, and the patient blood bags are traced according to the unique identification. Table 23 shows an example of the results of the patient blood donation record screening.

TABLE 23

In addition, the blood donation records of suspected close contacts can be traced, the unique blood bag bar code is associated with the identity document number of the suspected close contacts, the blood bags of the suspected close contacts are traced according to the unique identification, and all the suspected close contacts with the blood donation records are screened according to the method. Table 24 shows the results of a screening of blood donations from a suspected person in close contact.

Watch 24

For the blood bag of the infectious disease patient, a message can be sent to the blood center to inform the blood center to trace and dispose the blood bag, and for the blood bag of the suspected person in close contact, a message can be sent to the blood center to inform the blood center to mark the blood bag and seal the blood bag until the suspected person in close contact is eliminated from risk, and the blood bag can be used. Therefore, the blood collection center can safely manage blood collection and supply, and can trace and control blood donation bags which are diagnosed as patients with infectious diseases and suspected to be in close contact with each other, so that the safety of blood supply is ensured.

The application module 400, the application module 400 includes an early warning feedback part and an information uploading part, wherein the early warning feedback part includes information sent to a patient side and a doctor side and also includes information sent to a blood center, and the information uploading part includes information pushed to departments such as a disease control center, public security, traffic and the like.

At the patient side, the application module 400 supports all-directional pushing functions of short messages, APP, mails and the like, so that suspected close contacts can receive early warning messages at the first time, self-protection is performed, infectious disease detection is performed in time, and flow regulation and isolation of infectious diseases are facilitated.

At the doctor's end, the application module 400 may feed back to the doctor in the form of a visualization of information indicative of suspected splicers. The doctor can inquire the screening result according to the time axis on the mobile terminal, and the inquiry result comprises an indication message whether the doctor visits the infectious disease patient on the day. Fig. 2 is a schematic diagram illustrating the screening result at the doctor end provided in the embodiment of the present application, as shown in fig. 2, the application module 400 pushes information indicating the suspected contactee to the doctor in a visual form, as can be seen from fig. 2, it can be seen whether the doctor has received a suspected contactee in days 9 and 13 to 9 and 26, the doctor has a circular mark to receive the doctor, and the doctor does not have a circular mark to receive the doctor, and can click on a circular mark to display detailed information corresponding to the suspected contactee (e.g., click on a circular mark in day 9 and 16, and display detailed information of a suspected contactee in day 9 and 16), including but not limited to a doctor visit institution, a doctor visit department, a work time, a name, an identity ID, and the like.

The infectious disease tracking method of the present application will be described in detail with reference to several specific examples.

Fig. 3 is a schematic flowchart illustrating a first flowchart of the infectious disease tracking method according to an embodiment of the present invention, where an execution subject of the embodiment may be an infectious disease tracking device, such as a device with data processing capability, for example, a mobile phone, a desktop computer, a notebook computer, and the like.

As shown in fig. 3, the method includes:

s101, according to medical and health records of the confirmed object in the infectious disease tracing period, determining that the object which is suspected to be in direct contact with the confirmed object is a first suspected close object of the confirmed object in a first screening ladder of a plurality of screening ladders.

Wherein, a plurality of screening echelons are used for indicating the infection level of the confirmed diagnosis object corresponding to the infectious diseases. The infection level of an infectious disease can be measured by the primary regeneration number of the infectious disease (R0), which means the number of persons who evenly infect during the period of time when they are infectious. Generally, when R0 > 1, the infectious disease will increase exponentially and will be at risk of outbreak, epidemic; when R0 is 1, the infectious disease is stable in the population, with the risk of becoming an endemic epidemic; when R0 < 1, the infectious disease gradually disappears. Therefore, the larger the basic regeneration number (R0), the larger the infectivity of infectious disease. Therefore, according to the rule, a rule of screening steps required by different infectious diseases can be established, for example, when 0 < R0 ≦ 1, the number of the screening steps can be 1, namely, the infectious disease can be infected for one generation, when 1 < R0 ≦ 10, the number of the screening steps can be 2, namely, the infectious disease can be infected for the second generation, and when 10 < R0, the number of the screening steps can be 3, namely, the infectious disease can be infected for the third generation.

The infectious disease retroactive period refers to X days before the diagnosis time of a diagnosed object, the infectious disease retroactive period can be determined according to the latent period of infectious diseases, and different infectious diseases can have different infectious disease retroactive periods.

Wherein the medical and health record is a visit record or a follow-up visit record. In general, the national health information platform may store a complete set of electronic medical records (i.e., medical records) of a plurality of patients, and may include electronic medical records, medical information, examination information, infusion information, medication information, and medical staff information, which may be specifically referred to in tables 1 to 7.

The national health information platform can also be connected with a family doctor information system so as to obtain follow-up records of the diagnosed objects from the family doctor information system.

The disease control center issues a diagnosis confirmation message of the confirmed object, and in response to the diagnosis confirmation message, medical health records of the confirmed object in an infectious disease retroactive period are acquired from a national health information platform, and then the object which is suspected to be in direct contact with the confirmed object is determined to be a first suspected tight object of a first screening echelon of the confirmed object in a plurality of screening echelons, wherein the first screening echelon is a first generation screening of the confirmed object corresponding to the infectious disease, that is, the first suspected tight object which is suspected to be in direct contact with the confirmed object can be determined according to the medical health records of the confirmed object in the infectious disease retroactive period, and the first suspected tight object can comprise a diagnosis object and an admission butt-joint object which are queued together by the confirmed object in admission and diagnosis, or a follow-up doctor.

And S102, according to the first suspected close-contact object, determining the suspected close-contact objects of the confirmed object in other screening ladders in a plurality of screening ladders layer by layer.

Other screening ladders in the multiple screening ladders may include a second screening ladder and a third screening ladder, which may be specifically determined according to the infection level of the infectious disease, and this embodiment is not particularly limited.

And similarly, the suspected close-contact object screened by the third screening ladder is the suspected close-contact person screened by the second screening ladder and admitted by the second hospital. That is to say, according to the first suspected tight-seal object screened for the first time, the suspected tight-seal objects screened for the number of screening steps after the first screening step in the plurality of screening steps can be determined layer by layer, wherein the suspected tight-seal objects screened for the second screening step can also be determined according to the examination records of the first suspected tight-seal object in the infectious disease traceability period, the suspected tight-seal objects screened for the third screening step can also be determined according to the examination records of the suspected tight-seal objects screened for the second screening step in the infectious disease traceability period, that is, according to the examination records of the first suspected tight-seal object in the infectious disease traceability period, the object suspected to be in direct contact with the first suspected tight-seal object is determined to be the suspected tight-seal object of the confirmed object in the second screening step, and according to the examination records of the suspected tight-seal objects screened for the second screening step in the infectious disease traceability period, and determining that the suspected object in direct contact with the suspected close-contact object screened in the second screening ladder is the suspected close-contact object of the confirmed object in the third screening ladder, wherein the specific implementation manner is similar to that in the step S101.

According to the infectious disease tracking method, according to medical health records of confirmed objects in an infectious disease tracing period, an object which is suspected to be in direct contact with the confirmed object is determined to be a first suspected tight-contact object of a first screening echelon of the confirmed object in a plurality of screening echelons, wherein the plurality of screening echelons are used for indicating infection grades of the confirmed object corresponding to the infectious diseases, and according to the first suspected tight-contact object, suspected tight-contact objects of the confirmed object in other screening echelons in the plurality of screening echelons are determined layer by layer. The method improves the screening efficiency and the screening accuracy of the suspected tight objects, can accurately and quickly track the confirmed objects and suspected close contacts in time when infectious diseases occur, and avoids the problem that the infectious diseases are spread due to the fact that the parties are hidden when people are inquired manually.

Fig. 4 shows a second flowchart of the infectious disease tracking method provided in the embodiment of the present application, as shown in fig. 4, step S101, determining, according to the medical health record of the confirmed subject during the infectious disease tracing period, that the subject suspected to be in direct contact with the confirmed subject is the first suspected close-contact subject of the confirmed subject in the first screening ladder of the plurality of screening ladders, may include:

s201, acquiring the occurrence place of the medical and health event of the diagnosed object according to the medical and health record.

The medical record may be a diagnosis record or a follow-up record, and if the medical record is the diagnosis record, it indicates that the location of the medical event of the confirmed object is a medical institution (hospital), and if the medical record is the follow-up record, it indicates that the location of the medical event of the confirmed object is a follow-up location of the confirmed object (home of the confirmed object).

If the place of occurrence is a medical institution, steps S202-S203 may be executed; if the diagnosis method is a follow-up place of the confirmed subject, step S204 may be performed.

S202, determining first diagnosis subjects meeting corresponding preset queuing screening conditions from the diagnosis subjects who queue with the diagnosis subjects for multiple times respectively.

And S203, determining the first patient and the admission and docking object of the confirmed patient as a first suspected close-contact object.

If the medical and health event of the confirmed subject occurs in a medical institution, that is, the confirmed subject is admitted to a hospital for diagnosis, the confirmed subject may be queued for multiple medical events in the hospital, for example, outpatient number calling queuing, medicine taking queuing, examination queuing, and examination queuing, so that a first diagnosed subject meeting a preset queuing screening condition can be determined from the diagnosed subjects who are queued for multiple times with the confirmed subject, wherein the preset queuing screening condition may include screening ranges at y positions before and after the confirmed subject in the queuing queue, and a specific value of y may be determined according to a queuing scene and a peak time and a low valley time of the flow rate of people in the hospital, wherein the peak time may be 8: 00-10: 00, 13: 00-15: 00; the off-peak period may be other than the peak period.

It should be noted that values of y corresponding to different queues may also be different, for example, in a peak period, a value of the outpatient call queue y may be 12, a value of the inspection call queue y may be 10, and a value of the medicine-taking call queue y may be 5; in the valley period, the value of the outpatient service number calling queuing y can be 10, the value of the inspection number calling queuing y can be 8, and the value of the medicine taking number calling queuing y can be 3.

In some embodiments, the diagnosis subjects who are respectively queued with the diagnosis subjects in the outpatient queuing, medicine taking, inspection and inspection at the time of hospitalization of the diagnosis subjects can be determined according to the treatment records of the diagnosis subjects and the medical and health records of other diagnosis subjects on the treatment days of the diagnosis subjects in the national health information platform, and then the diagnosis subjects who meet the corresponding preset queuing screening conditions are determined as the first diagnosis subjects.

That is, the first subject is a subject who is queued with the confirmed subject a plurality of times and satisfies the preset queuing screening condition, and the hospitalization subject of the subject may also be determined according to the signature of the medical staff in the medical records, and the hospitalization subject may include medical staff who are docked with the subject, including a doctor, a nurse, and the like who are suspected to be in direct contact with the subject, and then the first subject and the hospitalization subject of the confirmed subject are determined as the first suspected tight subject.

And S204, determining that the follow-up doctor who confirms the diagnosis object is the first suspected close contact object.

If the occurrence place of the medical and health event of the confirmed object is the follow-up place of the confirmed object, that is, the follow-up doctor performs the visit, then the follow-up doctor is the first suspected close-contact object.

The infectious disease tracking method of the embodiment acquires the diagnosis mode of the confirmed object according to the medical record, respectively determines first diagnosis objects meeting corresponding preset queuing screening conditions from the diagnosis objects queued with the confirmed object for multiple times if the occurrence place is a medical institution, determines the first diagnosis objects and the hospitalized docking objects of the confirmed object as first suspected close-contact objects, and determines the follow-up doctors of the confirmed object as the first suspected close-contact objects if the occurrence place is the follow-up place of the confirmed object. The information acquisition system has the advantages that the information acquisition is completely from the existing data of the national health information platform and the hospital information system, the manual intervention input is not required, the automatic circulation of the information is enhanced, the rapid, efficient and active investigation is realized, and the delay caused by the extra work or the manual intervention factors required by the information acquisition is avoided.

Fig. 5 is a third flowchart illustrating an infectious disease tracking method according to an embodiment of the present application, and as shown in fig. 5, if the place where the medical and health event of the diagnosed subject occurs is a medical institution, step S102 may include:

s301, second visiting subjects meeting the corresponding preset queuing screening conditions are determined from the visiting subjects who queue for the second visiting while the first visiting subjects visit.

If the place of occurrence of the medical and health event of the confirmed object is a medical institution, the confirmed object is admitted to the hospital for treatment, which indicates that the first object is also admitted to the hospital for treatment, and the first object may queue up a plurality of medical events in the hospital, for example, outpatient number calling queuing, medicine taking queuing, examination queuing, inspection queuing, a first visit may be queued multiple times at a second visit, and therefore, a second visit may be determined from the visits in multiple lines with the first visit that meets the preset in-line screening criteria, wherein the preset queuing screening conditions can comprise screening ranges of y positions in the queuing group before and after the first visit object, the specific value of y can be determined according to the queuing scene and the peak period and the valley period of the hospital passenger flow, wherein the peak period can be 8: 00-10: 00, 13: 00-15: 00; the off-peak period may be other than the peak period. For a detailed description of the preset in-line screening conditions, reference may be made to the embodiment of fig. 3.

In some embodiments, the diagnosis subjects which are respectively queued with the first diagnosis subject in the outpatient queuing, medicine taking, checking and inspection at the time of the second hospitalization of the first diagnosis subject can be determined according to the diagnosis record of the first diagnosis subject and the diagnosis records of other diagnosis subjects on the diagnosis day of the first diagnosis subject in the national health information platform, and then the diagnosis subjects which meet the corresponding preset queuing screening condition can be determined as the second diagnosis subjects. That is to say, the second visit object is a visit object which is queued with the first visit object for multiple times and meets the preset queuing screening condition.

And S302, acquiring a third diagnosis object of the hospitalized docking object within a preset time period from the diagnosis time of the diagnosis object.

The preset time period from the diagnosis time of the confirmed subject to start may be a time period from the diagnosis time of the confirmed subject to the work end time of the hospitalization docking subject, wherein the work end time of the hospitalization docking subject may be determined according to a shift schedule of the hospitalization docking subject, wherein the hospitalization docking subject may be a doctor of the confirmed subject, that is, a third subject from the diagnosis subject who has been diagnosed by the doctor in the time period from the diagnosis time of the confirmed subject to the work end time of the hospitalization docking subject.

And S303, determining a secondary admission docking object of the first visit object.

And S304, determining the second and third patients and the secondary admission docking object as a third suspected close-contact object of the confirmed object in the second screening echelon.

In some embodiments, the secondary admission docking object of the first visit subject, which is the docking object at the time of the secondary visit of the first visit subject, may be determined from the signatures of the medical personnel in the visit record. The secondary admission subject may include medical personnel who are in contact with the first subject, including a doctor, a laboratory doctor, a nurse, and the like who are suspected to be in direct contact with the subject, and then the secondary admission subject of the second subject, the third subject, and the first subject is determined to be the third suspected tight subject.

S305, according to the third suspected tight object, determining the suspected tight object of the confirmed object in at least one screening echelon after the second screening echelon in the multiple screening echelons layer by layer.

After the third suspected close-fitting object is determined, the second and third patients in the third suspected close-fitting object can be tracked for the second admission and the second treatment, namely, when the second and third patients are treated twice, the object which is suspected to be in direct contact with the second and third patients is determined as the suspected close object of the confirmed object in the third screening echelon, and tracking a secondary diagnosis event of the secondary admission docking object of the first clinic object in the third suspected close-contact object, and determining that the object suspected to be directly contacted by the secondary admission docking object of the first clinic object in the secondary diagnosis is the suspected close-contact object of the confirmed object in the third screening echelon, namely, according to the third suspected close-fitting object, the suspected close-fitting object of at least one screening echelon after the second screening echelon in the multiple screening echelons of the diagnosed object can be determined layer by layer.

The screening steps of the infectious diseases are determined by the infection level of the infectious diseases, that is, the number of at least one screening step after the second screening step is determined by the infection level of the infectious diseases, and is not particularly limited herein.

In the infectious disease tracking method of the present embodiment, if the place where the medical and health event of the diagnosed object occurs is a medical institution, respectively determining second clinic objects meeting the corresponding preset queuing screening conditions from the clinic objects queued during the second clinic visit with the first clinic object, acquiring third clinic objects of the hospitalization clinic objects within a preset time period from the clinic time of the clinic objects, determining the second hospitalization clinic objects of the first clinic object, wherein the second hospitalization clinic objects are the clinic objects of the first clinic object during the second clinic visit, determining the second clinic objects, the third clinic objects and the second hospitalization clinic objects as third suspected close-contact objects of the clinic objects during the second screening echelon, and determining the suspected close-fitting object of the confirmed object in at least one screening echelon after the second screening echelon in the multiple screening echelons layer by layer according to the third suspected close-fitting object. The method has the advantages that the screening efficiency and the screening accuracy of the suspected tight objects are improved, when infectious diseases occur, confirmed objects and suspected close contact persons can be accurately and quickly tracked in time, the problem that the infectious diseases spread due to the fact that parties are hidden in artificial inquiry is solved, the events of secondary hospitalization and diagnosis of the close contact patients are timely grabbed and tracked before the close contact patients are not confirmed as the infectious disease patients, and the risk of spreading the epidemic situation is reduced.

Fig. 6 is a flowchart illustrating a fourth infectious disease tracking method according to an embodiment of the present application, and as shown in fig. 6, if the location of the medical and health event of the diagnosed subject is a follow-up location of the diagnosed subject, step S102 may include:

s401, determining that the diagnosis object which is diagnosed by the follow-up doctor in the time period from the follow-up time to the diagnosis confirmation message issuing time is the second suspected close-contact object of the diagnosis confirmation object in the second screening echelon.

S402, according to the second suspected tight-connected object, determining the suspected tight-connected object of the confirmed object in at least one screening echelon after the second screening echelon in the multiple screening echelons layer by layer.

The follow-up time is the time of the follow-up doctor to carry out family follow-up on the confirmed object, and the confirmed message issuing time is the time of the confirmed message issuing of the confirmed object.

That is, if the occurrence location of the medical and health event of the confirmed object is the follow-up visit of the confirmed object, the visit object that the follow-up doctor has diagnosed within the time period from the follow-up visit time to the confirmation message issuing time is taken as the second suspected close-contact object of the confirmed object in the second screening echelon, and then the object that is suspected to be in direct contact with the second suspected close-contact object is determined as the suspected close-contact object of the confirmed object in the third screening echelon.

In the infectious disease tracking method of this embodiment, if the occurrence location of the medical and health event of the confirmed object is the follow-up location of the confirmed object, it is determined that the visiting object that the follow-up doctor visits in the time period from the follow-up time to the time when the confirmed message is issued is the second suspected tight-contact object of the confirmed object in the second screening echelon, and according to the second suspected tight-contact object, at least one suspected tight-contact object of the confirmed object in the second screening echelon among the multiple screening echelons is determined layer by layer. The method has the advantages that the screening efficiency and the screening accuracy of the suspected tight objects are improved, when infectious diseases occur, confirmed objects and suspected close contact persons can be accurately and quickly tracked in time, the problem that the infectious diseases spread due to the fact that parties are hidden in artificial inquiry is solved, the events of secondary hospitalization and diagnosis of the close contact patients are timely grabbed and tracked before the close contact patients are not confirmed as the infectious disease patients, and the risk of spreading the epidemic situation is reduced.

Fig. 7 shows a fifth flowchart of the infectious disease tracking method provided in the embodiment of the present application, and as shown in fig. 7, the method may further include:

s501, acquiring attribute information of the suspected close-contact object of the confirmed object in a plurality of screening steps.

The suspected close-contact objects of the confirmed objects in the multiple screening echelons can include two categories, namely the confirmed objects and the admission docking objects, the attribute information of the confirmed objects can include identification numbers, names, the confirmed dates, queuing and calling information and the like (see tables 15, 17, 18 and 20), and the attribute information of the admission docking objects can include the confirmed dates, department codes of medical institutions, names of medical staff, work numbers of the medical staff and the like (see tables 16, 19 and 21).

And S502, generating an infectious disease correlation analysis chart aiming at the confirmed object according to the suspected close object of the confirmed object in a plurality of screening steps.

S503, pushing the attribute information and the infectious disease correlation analysis chart.

The infectious disease correlation analysis map is used for indicating the correlation of infectious diseases based on diagnosed subjects. Fig. 8 is a schematic diagram of an infectious disease correlation analysis chart provided in an embodiment of the present application, and as shown in fig. 8, the transmission correlation analysis is graphically displayed and presented in the form of a tree graph, where a first root node is a diagnosed object a1, a second root node is a suspected close-contact object (a second suspected close-contact object or a third suspected close-contact object) of a first suspected close-contact object screened in a first step, and so on.

After the attribute information and the infectious disease associated analysis chart of the suspected close-contact object of the confirmed object in a plurality of screening echelons are obtained, the attribute information and the infectious disease associated analysis chart can be pushed, so that the disease control center and related departments can analyze various characteristics, the infection amount and track the infection source of epidemiology according to the transmission associated analysis chart.

For example, the infectious disease association graph shown in FIG. 8 shows that patient A1 was the subject of confirmed diagnosis, and the first ladder was screened for 20 suspected persons in close contact, and the second ladder was screened for 220 persons in close contact. Two paths C1-2 and C2-1 are intercepted for the correlation analysis of infectious disease transmission.

According to path C1-2, both the close-contact person D1 from the first screening and the suspected close-contact person D22 from the second screening were detected as confirmed subjects. According to the correlation analysis, the infected person of the path is more likely to be nosocomial infection.

According to path C2-1, the suspected close contact person D24 from the second screening run was detected as a confirmed subject in a subsequent infectious disease test, whereas the upstream D2 from this path was not confirmed as a confirmed subject. From this correlation analysis, the following possibilities exist: d24 non-hospital infection, other departments to investigate other suspected exposure history of the patient; d24 was a nosocomial infection, but the virus exceeded the known maximum latency at D2 and was not detected.

Optionally, the method may further include:

and constructing an infection index of each screening ladder according to the infectious disease association analysis chart and the confirmed objects in the suspected close-contact objects in the plurality of screening ladders.

After the suspected closely-detected objects in the multiple screening steps of the confirmed objects are determined, if the infected confirmed closely-detected objects are found, an infection index of each screening step can be constructed according to the infectious disease correlation analysis chart and the confirmed closely-detected objects in the suspected closely-detected objects in the multiple screening steps, wherein the infection index is the ratio of the number of confirmed closely-detected objects in the upstream objects to the number of downstream objects in each screening step in the infectious disease correlation analysis chart.

Taking fig. 7 as an example, if the root node is a1, the number of a1 is always 1, and the first screening ladder infection index (G1) is the number of first root nodes (the number of diagnosed objects in the upstream objects in the first screening ladder)/the number of second root nodes (the number of downstream objects in the first screening ladder) is 1/the number of second root nodes.

The second screening ladder infection index (G2) is the number of cases diagnosed in the second node (the number of objects diagnosed in the upstream objects in the second screening ladder)/the number of third nodes (the number of downstream objects in the third screening ladder).

After the infection indexes of a plurality of screening steps are constructed, a threshold value of the infection indexes can be set, whether the infection index of each constructed screening step exceeds the threshold value or not is compared, and if the infection index of each constructed screening step exceeds the threshold value, the infectious disease prevention and control measures are to be strengthened. Table 25 shows an infection index.

TABLE 25

The infectious disease tracking method of the embodiment acquires attribute information of a suspected close-contact object of a confirmed object in a plurality of screening steps, generates an infectious disease related analysis chart for the confirmed object according to the suspected close-contact object of the confirmed object in the plurality of screening steps, and pushes the attribute information and the infectious disease related analysis chart. Can be fast timely get into hospital clinical treatment to the infectious disease patient in time trail and report to the disease accuse center, the propelling movement early warning information that the quick response of making by the disease accuse center was sent and made response and countermeasure through the hospital to carry out the flow and transfer to it and keep apart, avoid the diffusion of infectious disease.

Fig. 9 is a schematic structural diagram of an infectious disease tracking device provided in an embodiment of the present application, which may be integrated in the infectious disease tracking system shown in fig. 1. As shown in fig. 9, the apparatus includes:

the screening module 300 is configured to determine, according to medical and health records of a diagnosed object in an infectious disease tracing period, that an object suspected to be in direct contact with the diagnosed object is a first suspected tight-contact object of a first screening echelon of the diagnosed object in a plurality of screening echelons, where the plurality of screening echelons are used to indicate an infection level of the infectious disease corresponding to the diagnosed object;

the screening module 300 is further configured to determine, layer by layer, suspected tight-fitting objects of other screening ladders of the diagnosed object in the multiple screening ladders according to the first suspected tight-fitting object.

Optionally, the screening module 300 is specifically configured to:

Optionally, the method further comprises:

the acquisition module 100 is configured to acquire attribute information of the suspected tight-fit object of the confirmed-diagnosis object in the multiple screening ladders;

an application module 400, configured to generate an infectious disease correlation analysis chart for the diagnosed object according to the suspected close-contact object of the diagnosed object in the multiple screening ladders; and pushing the attribute information and the infectious disease association analysis chart.

Optionally, the application module 400 is further configured to:

The implementation process and the implementation principle of the infectious disease tracking device of this embodiment are similar to those of the infectious disease tracking method provided in the above embodiments, and are not described herein again.

Fig. 10 is a schematic structural diagram illustrating an infectious disease tracking device provided in an embodiment of the present application, where the device may include: a processor 601, a memory 602, and a bus 603, wherein the memory 602 stores machine-readable instructions executable by the processor 601, and when the infectious disease tracking device is operating, the processor 601 communicates with the memory 602 via the bus 603, and the processor 601 executes the machine-readable instructions to perform the above-described method embodiments.

Embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the above method embodiments.

It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to corresponding processes in the method embodiments, and are not described in detail in this application. In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and there may be other divisions in actual implementation, and for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or modules through some communication interfaces, and may be in an electrical, mechanical or other form.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application.

Claims

1. An infectious disease tracking method, comprising:

2. The method of claim 1, wherein the determining that the subject suspected to be in direct contact with the diagnosed subject is the first suspected close-fitting subject of the first screening ladder of the diagnosed subject in the plurality of screening ladders according to the medical and health records of the diagnosed subject during the infectious disease traceability period comprises:

3. The method of claim 2, wherein determining, layer by layer, suspected close-fitting objects of the confirmed object in other screening ladders of the plurality of screening ladders based on the first suspected close-fitting object comprises:

determining the second and third subjects and the secondary admission docking subject as a third suspected close-contact subject of the confirmed subjects in a second screening echelon;

4. The method of claim 2, wherein the step of determining that the subject suspected to be in direct contact with the diagnosed subject is the first suspected close-fitting subject of the first screening ladder of the plurality of screening ladders according to the medical and health record of the diagnosed subject during the infectious disease tracing period further comprises the steps of:

5. The method of claim 4, wherein determining, layer by layer, suspected close-fitting objects of the confirmed object in other screening ladders of the plurality of screening ladders according to the first suspected close-fitting object comprises:

6. The method of claim 1, further comprising:

7. The method of claim 6, further comprising:

8. An infectious disease tracking device, comprising:

9. An infectious disease tracking apparatus, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the infectious disease tracking device is in operation, the processor executing the machine-readable instructions to perform the method of any of claims 1 to 7.

10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, performs the method of any one of claims 1 to 7.