WO2022217829A1

WO2022217829A1 - Infectious disease prevention and control method and apparatus, and computer device and storage medium

Info

Publication number: WO2022217829A1
Application number: PCT/CN2021/118521
Authority: WO
Inventors: 宋轩; 陈达寅; 张浩然
Original assignee: 南方科技大学
Priority date: 2021-04-16
Filing date: 2021-09-15
Publication date: 2022-10-20
Also published as: CN113113154A

Abstract

Disclosed in the embodiments of the present invention are an infectious disease prevention and control method and apparatus, and a computer device, and a storage medium. The method comprises: acquiring infectious disease propagation influence factor information and diagnosed user information in a preset region; and inputting the infectious disease propagation influence factor information and the diagnosed user information into a trained prediction model, and outputting a predicted infectious disease risk value of the preset region. By means of the technical solution provided in the embodiments of the present invention, factors influencing infectious disease propagation in a region needing prediction are taken into consideration, and then an infectious disease risk value is predicted by using a trained prediction model in combination with an actual local incidence condition, so as to realize the intelligentization of prevention and control of infectious diseases, such that a user can find out a required infectious disease risk value in a timely manner, and thus prevention and control can be performed on the infectious diseases in the timely manner. In addition, more intuitive and effective risk data is provided for the user as a reference, such that the user can determine a travel plan any moment according to current infectious disease risk values of various regions.

Description

A kind of infectious disease prevention and control method, device, computer equipment and storage medium

technical field

Embodiments of the present invention relate to the technical field of disease control, and in particular, to a method, device, computer equipment, and storage medium for preventing and controlling infectious diseases.

Background technique

Infectious diseases are a class of diseases caused by various pathogens that can be transmitted from person to person, from animals to animals, or from humans to animals. Usually the disease is spread by direct contact with infected individuals, bodily fluids of infected persons, excrement of infected persons, and objects contaminated by infected persons, and can be transmitted through air, water, food, contact, soil, body fluids, and fecal-oral transmission. The characteristics of infectious diseases include contagiousness and epidemics, often with immunity after infection, and some infectious diseases are also seasonal or endemic. Common infectious diseases include chickenpox, mumps and influenza, etc. These diseases usually spread in a small or large area around after a case. If measures are not taken in time, it is likely to cause the continuous expansion of the infected area.

At present, in the prevention and control of most infectious diseases, it is usually controlled by artificially controlling the source of infection and cutting off the route of transmission. Close observation to cut off new sources of infection in time. However, this prevention and control method has some drawbacks. Usually, when the control is started, the source of infection has come into contact with many healthy people, which leads to the untimely control and further expansion of the infection area, and manual management usually leads to The lag of news makes it impossible for people to foresee the risk of infection in time.

technical problem

Embodiments of the present invention provide a method, device, computer equipment and storage medium for preventing and controlling infectious diseases, so that users can know the required infectious disease risk value in time, so as to realize timely prevention and control of infectious diseases, and provide users with more intuitive valid data for reference.

technical solutions

In a first aspect, an embodiment of the present invention provides a method for preventing and controlling an infectious disease, the method comprising:

Obtain information on factors affecting the spread of infectious diseases and information on confirmed users within a preset area;

Inputting the information on the factors influencing the spread of the infectious disease and the information on the confirmed users into the trained prediction model, and outputting the predicted infectious disease risk value of the preset area.

In a second aspect, an embodiment of the present invention also provides an infectious disease prevention and control device, the device comprising:

The information acquisition module is used to acquire the information on the factors affecting the spread of infectious diseases in the preset area and the information of the confirmed users;

A risk value prediction module, configured to input the information on the infectious disease transmission influencing factors and the confirmed user information into the trained prediction model, and output the predicted infectious disease risk value of the preset area.

In a third aspect, an embodiment of the present invention further provides a computer device, the computer device comprising:

one or more processors;

memory for storing one or more programs;

When the one or more programs are executed by the one or more processors, the one or more processors implement the infectious disease prevention and control method provided by any embodiment of the present invention.

In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the infectious disease prevention and control method provided by any embodiment of the present invention.

beneficial effect

The embodiment of the present invention provides a method for preventing and controlling an infectious disease. First, obtain information on factors affecting the spread of infectious diseases and information on confirmed users in a preset area, and then input the information on factors affecting the spread of infectious diseases and information on confirmed users into a post-training prediction model. , so as to predict the infectious disease risk value of the preset area. The infectious disease prevention and control method provided by the embodiment of the present invention predicts the infectious disease risk value by taking into account the factors affecting the spread of infectious diseases in the required prediction area, and combining with the actual local incidence situation, and then using the trained prediction model to predict the infectious disease risk value. The intelligent prevention and control of infectious diseases is realized, without manual statistics and publicity, so that users can know the required infectious disease risk value in time, so as to prevent and control infectious diseases in a timely manner, and provide users with more intuitive and effective information. The risk data is used as a reference, so that users can decide travel plans at any time according to the current risk values of infectious diseases in various regions.

Description of drawings

1 is a flowchart of a method for preventing and controlling an infectious disease provided in Embodiment 1 of the present invention;

2 is a schematic structural diagram of an infectious disease prevention and control device provided in Embodiment 2 of the present invention;

FIG. 3 is a schematic structural diagram of a computer device according to Embodiment 3 of the present invention.

Embodiments of the present invention

The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, the drawings only show some but not all structures related to the present invention.

Before discussing the exemplary embodiments in greater detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowchart depicts the steps as a sequential process, many of the steps may be performed in parallel, concurrently, or concurrently. Furthermore, the order of the steps can be rearranged. The process may be terminated when its operation is complete, but may also have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, subroutines, and the like.

Example 1

FIG. 1 is a flowchart of a method for preventing and controlling an infectious disease according to Embodiment 1 of the present invention. This embodiment can be applied to the situation of predicting the currently required infectious disease risk value in any set area. The method can be executed by the infectious disease prevention and control device provided by the embodiment of the present invention, and the device can be implemented by hardware and/or It can be implemented by means of software or software, and can generally be integrated into computer equipment, which can be, but is not limited to, various personal computers, servers, notebook computers, smart phones, tablet computers, and the like. As shown in Figure 1, it specifically includes the following steps:

S11. Acquire information on factors influencing the spread of infectious diseases and information on confirmed users within a preset area.

Wherein, the initial preset area may be an area determined by simply dividing in the form of a provincial level, a municipal level, or a district level, or an area determined by customizing according to requirements. The information on factors affecting the spread of infectious diseases is an indicator of various factors that may affect the spread of infectious diseases, and may specifically include one or more of temperature, humidity, particle concentration in the air, light intensity, and population density in a preset area. As in the transmission route of infectious diseases, droplet transmission and air transmission account for a large proportion, and these two transmission routes are largely affected by the above factors. Exemplarily, when the air is relatively humid and/or the temperature is relatively suitable, the pathogens will float and survive in the air for a relatively long time, so that there is a greater probability of transmission, and in the case of a larger population density, the transmission of pathogens Efficiency will also be higher than in a sparsely populated situation. That is to say, when the information on the influencing factors of infectious disease transmission is different, the risk value of infectious diseases is also different. Therefore, the information on the influencing factors of infectious disease transmission needs to be taken into account and used as the input of the prediction model to predict the risk value of infectious diseases.

Diagnosed user information can include any relevant information of all currently diagnosed users in the preset area. Every time the infectious disease risk value needs to be predicted, all confirmed users in the preset area can be determined first, and then the currently required diagnosis can be obtained. User Info. Specifically, it can be implemented through crowdsourcing. Crowdsourcing refers to a method in which a company or institution outsources work tasks performed by employees in the past to a non-specific public network in a free and voluntary form. In this embodiment, it can be The confirmed users are determined among the users of the crowdsourcing application in the preset area, and the mobile terminals used by the confirmed users can obtain and upload the information of the confirmed users by themselves. Specifically, it can be uploaded to the server, and the server can obtain the information in the preset area All confirmed user information.

Optionally, the diagnosed user information includes: user contact data of the diagnosed user; correspondingly, acquiring the diagnosed user information in a preset area includes: communicating between mobile terminals used by the user based on Bluetooth broadcast to generate each user information. User contact record of the user; if the user becomes a confirmed user, the user contact record uploaded by the mobile terminal used by the confirmed user is received as the user contact data of the confirmed user. Specifically, the user contact data may be within a preset time range, such as user contact records within the last month, and the user contact records of the diagnosed user may include identity information, contact timestamps, and contact locations of other users who are in contact with the diagnosed user. Wait. Communication between users' mobile terminals can be based on Bluetooth broadcast, and a user contact record can be generated after each communication is completed. Since the Bluetooth broadcast has a certain distance limit, it can be determined that users on both sides of the communication have entered a contact distance that may be infected when communication occurs. The user contact records generated by each user can be stored locally, and only when the user is diagnosed, upload the currently required user contact data of the diagnosed user to the server, while normal users do not need to upload data, so as to protect the privacy of users as much as possible . After the user is diagnosed, the latest user contact data can also be uploaded at preset time intervals, and the uploading will be stopped after the user recovers, so that the infectious disease risk value can be predicted based on the latest situation.

Further optionally, communication between mobile terminals used by users based on Bluetooth broadcast to generate a user contact record of each user includes: sending a broadcast signal to the surroundings every preset time period through the mobile terminal, and every After completing the transmission, switch back to the receiving mode to receive the surrounding broadcast signals; after each receiving the surrounding broadcast signals through the mobile terminal, a user contact record is generated and saved locally. Specifically, the communication process between mobile terminals may be as follows: each mobile terminal sends a broadcast signal to the surroundings every preset time period, and switches back to the receiving mode after each transmission is completed to receive broadcast signals sent by other surrounding mobile terminals. , the mobile terminal sending the signal can broadcast the local user identifier as the user's user information through low-power bluetooth broadcast, and the mobile terminal receiving the signal can generate a contact time stamp and contact position when receiving the broadcast signal, and according to the received The received user information, the generated contact timestamp and contact location and other information generate a user contact record and save it locally.

Further optionally, the confirmed user information also includes: user contact data of the confirmed user who is in close contact with the user; correspondingly, if the user becomes the confirmed user, the user contact record uploaded by the mobile terminal used by the confirmed user is received as the confirmed user's contact record. After the user contact data, it also includes: determining the close contact user according to the user contact data of the confirmed user; informing the close contact user to upload the user contact record as the user contact data of the close contact user. Specifically, in addition to the confirmed users, the user contact data of the close contact users with the confirmed users can also be taken into account. Since the onset of infectious diseases may have a certain lag, the monitoring of the close contact users can improve the predictability. As a result, the prediction of the risk value of infectious diseases is more accurate, and the prevention and control of infectious diseases is more timely. Among them, close contact users can be defined as users who have contact with confirmed users for more than a preset number of times within a certain period of time. Specifically, after receiving the user contact data of the confirmed user, the close contact users of the confirmed user can be determined according to the user contact data, and then a notification can be sent to the close contact user, so that the close contact user uploads his user contact data.

Further optionally, the diagnosed user information further includes: the number of diagnosed users in the preset area and/or the location of the diagnosed users. Specifically, the server can determine the number of confirmed users according to the received confirmed user information, and the confirmed users can obtain their own locations and upload them while uploading user contact data each time, so that the server can obtain the confirmed diagnoses in the current preset area. User's location. The number and location distribution of confirmed users are also factors that increase the risk of infectious diseases, so that more accurate predictions of infectious disease risk values can be achieved according to the number and location distribution of confirmed users.

S12 , input the information on the influencing factors of the spread of the infectious disease and the information of the confirmed users into the trained prediction model, and output the predicted infectious disease risk value of the preset area.

The prediction model may be any model that can predict the risk value of infectious diseases, which is not limited in this embodiment. Specifically, a model with better effect may be selected according to the comparison result between the actual prediction result and the real situation. After obtaining the information on the factors influencing the spread of infectious diseases and the information on the confirmed users in the preset area, the information on the influencing factors on the spread of infectious diseases and the information on the confirmed users can be input into the trained prediction model to predict the infectious diseases in the preset area. value at risk. Before using the prediction model, the historical information on infectious disease transmission factors and confirmed user information can be used as the input of the prediction model, and the corresponding historical real infectious disease risk value, that is, the actual statistical probability of being infected, can be used as the input of the prediction model. The output is trained on the predictive model, thereby obtaining a trained predictive model. After obtaining the infectious disease risk value of the preset area, the infectious disease risk value can be sent to the mobile terminal used by each user, so that the user can know the probability of being infected in a certain area at any time, so as to decide whether to go to this area. region, which can provide users with more intuitive and effective data for travel and avoidance planning. Optionally, after obtaining the infectious disease risk value of the preset area, the preset area can be more finely adjusted according to the infectious disease risk value and the distribution of confirmed users, so as to better reflect the infectious disease in an area. disease development.

On the basis of the above technical solution, optionally, after inputting the information on the influencing factors of the spread of infectious diseases and the information of the confirmed users into the trained prediction model, and outputting the predicted infectious disease risk value of the preset area, the method further includes: The infectious disease risk value is adjusted for the preset time period. Specifically, when the risk value of infectious diseases is high, the preset area can be determined as a high-risk area. At this time, it is necessary to monitor the high-risk area more closely, that is, the preset time can be shortened to ensure more complete user contact records. It is more sufficient, so as to avoid missing the contact of the confirmed user and make the prediction of the risk value of infectious diseases more accurate. When the infectious disease risk value is low, the preset area can be determined as a low-risk area, and the storage of user contact records and the communication between mobile terminals can be reduced by extending the preset time period, thereby reducing the corresponding waste of resources.

The technical solution provided by the embodiment of the present invention first obtains the information on the influencing factors of infectious disease transmission and the information of the confirmed users in the preset area, and then inputs the information on the influencing factors of the infectious disease transmission and the information of the confirmed users into the post-training prediction model, so as to obtain the prediction result. The infectious disease risk value of the preset area. By considering the factors affecting the spread of infectious diseases in the required prediction area, combined with the actual local incidence, and then using the trained prediction model to predict the risk value of infectious diseases, the intelligent prevention and control of infectious diseases is realized, and no manual work is required. Statistics and publicity allow users to know the required infectious disease risk value in time, so as to prevent and control infectious diseases in a timely manner, and provide users with more intuitive and effective risk data as a reference, so that users can The communicable disease risk value determines travel planning.

Embodiment 2

FIG. 2 is a schematic structural diagram of an infectious disease prevention and control device provided in Embodiment 2 of the present invention. The device may be implemented by hardware and/or software, and may generally be integrated into computer equipment for executing any of the embodiments of the present invention. In the provided infectious disease prevention and control method, the computer equipment can be, but is not limited to, various personal computers, servers, notebook computers, smart phones, tablet computers, and the like. As shown in Figure 2, the device includes:

The information acquisition module 21 is used to acquire the information on the influencing factors of the spread of infectious diseases and the information of the confirmed users in the preset area;

The risk value prediction module 22 is used for inputting the information on the influencing factors of the spread of infectious diseases and the information of the confirmed users into the trained prediction model, and outputting the predicted infectious disease risk value of the preset area.

On the basis of the above technical solution, optionally, the diagnosed user information includes: user contact data of the diagnosed user;

Correspondingly, the information acquisition module 21 includes:

a user contact record generating unit, configured to communicate between mobile terminals used by users based on Bluetooth broadcast, to generate a user contact record of each user;

The user contact data uploading unit is configured to, if the user becomes a confirmed user, receive the user contact record uploaded by the mobile terminal used by the confirmed user as the user contact data of the confirmed user.

On the basis of the above technical solution, optionally, the user contact record generating unit includes:

The signal sending subunit is used to send a broadcast signal to the surrounding every preset time period through the mobile terminal, and switch back to the receiving mode after each transmission is completed to receive the surrounding broadcast signal;

The user contact record generating subunit is used to generate a user contact record and save it locally after each time the mobile terminal receives surrounding broadcast signals.

On the basis of the above technical solution, optionally, the infectious disease prevention and control device further includes:

The preset duration adjustment module is used to input the information on the influencing factors of infectious disease transmission and the information of confirmed users into the trained prediction model, and output the predicted infectious disease risk value of the preset area, and adjust the preset according to the infectious disease risk value. time to adjust.

On the basis of the above technical solution, optionally, the diagnosed user information further includes: user contact data of the close contact user of the diagnosed user;

Correspondingly, the information acquisition module 21 also includes:

The close contact user determination unit is used to determine the close contact user according to the user contact data of the confirmed user after receiving the user contact record uploaded by the mobile terminal used by the confirmed user as the user contact data of the confirmed user if the user becomes the confirmed user;

The notification uploading unit is used to notify the close contact user to upload the user contact record as the user contact data of the close contact user.

On the basis of the above technical solution, optionally, the diagnosed user information further includes: the number of the diagnosed users and/or the location of the diagnosed users in the preset area.

On the basis of the above technical solution, optionally, the information on factors affecting the spread of infectious diseases includes one or more of temperature, humidity, particle concentration in the air, light intensity, and population density in a preset area.

The infectious disease prevention and control device provided by the embodiment of the present invention can execute the infectious disease prevention and control method provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

It is worth noting that, in the above embodiments of the infectious disease prevention and control device, the included units and modules are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; In addition, the specific names of the functional units are only for the convenience of distinguishing from each other, and are not used to limit the protection scope of the present invention.

Embodiment 3

FIG. 3 is a schematic structural diagram of a computer device according to Embodiment 3 of the present invention, and shows a block diagram of an exemplary computer device suitable for implementing the embodiments of the present invention. The computer device shown in FIG. 3 is only an example, and should not impose any limitation on the function and scope of use of the embodiments of the present invention. As shown in FIG. 3 , the computer device includes a processor 31, a memory 32, an input device 33 and an output device 34; the number of processors 31 in the computer device may be one or more, and one processor 31 is taken as an example in FIG. 3 , the processor 31 , the memory 32 , the input device 33 and the output device 34 in the computer equipment may be connected through a bus or other means, and the connection through a bus is taken as an example in FIG. 3 .

As a computer-readable storage medium, the memory 32 can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the infectious disease prevention and control method in the embodiment of the present invention (for example, an infectious disease prevention and control device). The information acquisition module 21 and the risk value prediction module 22). The processor 31 executes various functional applications and data processing of the computer equipment by running the software programs, instructions, and modules stored in the memory 32, ie, implements the above-mentioned infectious disease prevention and control method.

The memory 32 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the computer equipment, and the like. Additionally, memory 32 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some instances, memory 32 may further include memory located remotely from processor 31, which may be connected to the computer device through a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

The input device 33 can be used to obtain information on factors affecting the spread of infectious diseases and confirmed user information in a preset area, and to generate key signal inputs related to user settings and function control of computer equipment, and the like. The output device 34 may include a display screen or the like, which may be used to display the predicted infectious disease risk value data to the user.

Embodiment 4

Embodiment 4 of the present invention further provides a storage medium containing computer-executable instructions, where the computer-executable instructions are used to execute a method for preventing and controlling infectious diseases when executed by a computer processor, and the method includes:

Input the information on factors affecting the spread of infectious diseases and the information of confirmed users into the trained prediction model, and output the predicted infectious disease risk value of the preset area.

The storage medium may be any of various types of memory devices or storage devices. The term "storage medium" is intended to include: installation media such as CD-ROM, floppy disk or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memory such as flash memory, magnetic media (eg, hard disk or optical storage); registers or other similar types of memory elements, and the like. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the computer system in which the program is executed, or may be located in a different second computer system connected to the computer system through a network such as the Internet. The second computer system may provide program instructions to the computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations (eg, in different computer systems connected by a network). The storage medium may store program instructions (eg, embodied as a computer program) executable by one or more processors.

Of course, a storage medium containing computer-executable instructions provided by the embodiments of the present invention, the computer-executable instructions of which are not limited to the above method operations, and can also execute the infectious disease prevention and control method provided by any embodiment of the present invention. related operations in .

A computer-readable signal medium may include a propagated data signal in baseband or as part of a carrier wave, with computer-readable program code embodied thereon. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device .

Program code embodied on a computer readable medium may be transmitted using any suitable medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

From the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be realized by software and necessary general-purpose hardware, and of course can also be realized by hardware, but in many cases the former is a better embodiment . Based on such understanding, the technical solutions of the present invention can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products can be stored in a computer-readable storage medium, such as a floppy disk of a computer , Read-Only Memory (ROM), Random Access Memory (RAM), Flash Memory (FLASH), hard disk or CD, etc., including several instructions to make a computer device (which can be a personal computer) , server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention. The scope is determined by the scope of the appended claims.

Claims

A method for preventing and controlling infectious diseases, comprising:

Obtain information on factors affecting the spread of infectious diseases and information on confirmed users within a preset area;

Inputting the information on the factors influencing the spread of the infectious disease and the information on the confirmed users into the trained prediction model, and outputting the predicted infectious disease risk value of the preset area.
The infectious disease prevention and control method according to claim 1, wherein the diagnosed user information comprises: user contact data of the diagnosed user;

Correspondingly, the obtaining of the diagnosed user information in the preset area includes:

Communicate between mobile terminals used by users based on Bluetooth broadcast to generate user contact records for each user;

If the user becomes the confirmed user, the user contact record uploaded by the mobile terminal used by the confirmed user is received as user contact data of the confirmed user.
The infectious disease prevention and control method according to claim 2, wherein the communication between mobile terminals used by users based on Bluetooth broadcast to generate a user contact record of each user, comprising:

Send a broadcast signal to the surroundings every preset time period through the mobile terminal, and switch back to the receiving mode after each transmission is completed to receive the surrounding broadcast signal;

The mobile terminal generates a user contact record and saves it locally after receiving the surrounding broadcast signal each time.
The method for prevention and control of infectious diseases according to claim 3, characterized in that, after said inputting the information on the influencing factors of infectious disease transmission and the information of the diagnosed users into a trained prediction model, and outputting the predicted prediction model. After setting the infectious disease risk value of the area, it also includes:

The preset time period is adjusted according to the infectious disease risk value.
The infectious disease prevention and control method according to claim 2, wherein the confirmed user information further comprises: user contact data of close contact users of the confirmed user;

Correspondingly, after receiving the user contact record uploaded by the mobile terminal used by the diagnosed user as the user contact data of the diagnosed user if the user becomes the diagnosed user, the method further includes:

Determine the close contact user according to the user contact data of the confirmed user;

The close contact user is notified to upload the user contact record as user contact data of the close contact user.
The method for preventing and controlling infectious diseases according to claim 2, wherein the diagnosed user information further comprises: the number of the diagnosed users and/or the location of the diagnosed users in the preset area.
The method for prevention and control of infectious diseases according to claim 1, wherein the information on factors affecting the spread of infectious diseases includes one of temperature, humidity, particle concentration in the air, light intensity and population density of the preset area or more.
An infectious disease prevention and control device, characterized in that it includes:

The information acquisition module is used to acquire the information on the factors affecting the spread of infectious diseases in the preset area and the information of the confirmed users;

A risk value prediction module, configured to input the information on the infectious disease transmission influencing factors and the confirmed user information into the trained prediction model, and output the predicted infectious disease risk value of the preset area.
A computer equipment, characterized in that, comprising:

one or more processors;

memory for storing one or more programs;

When the one or more programs are executed by the one or more processors, the one or more processors implement the infectious disease prevention and control method according to any one of claims 1-7.
A computer-readable storage medium on which a computer program is stored, characterized in that, when the program is executed by a processor, the infectious disease prevention and control method according to any one of claims 1-7 is implemented.