CN113113154A - Infectious disease prevention and control method and device, computer equipment and storage medium - Google Patents
Infectious disease prevention and control method and device, computer equipment and storage medium Download PDFInfo
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- CN113113154A CN113113154A CN202110410104.XA CN202110410104A CN113113154A CN 113113154 A CN113113154 A CN 113113154A CN 202110410104 A CN202110410104 A CN 202110410104A CN 113113154 A CN113113154 A CN 113113154A
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Abstract
The embodiment of the invention discloses an infectious disease prevention and control method, an infectious disease prevention and control device, computer equipment and a storage medium. The method comprises the following steps: acquiring infectious disease transmission influence factor information and confirmed diagnosis user information in a preset area; and inputting the infectious disease propagation influence factor information and the confirmed diagnosis user information into the trained prediction model, and outputting the predicted infectious disease risk value of the preset area. According to the technical scheme provided by the embodiment of the invention, factors influencing the spread of infectious diseases in the area to be predicted are considered, the risk value of the infectious diseases is predicted by using the trained prediction model in combination with the local actual disease occurrence condition, the intellectualization of infectious disease prevention and control is realized, so that a user can timely know the required risk value of the infectious diseases, the infectious diseases can be timely prevented and controlled, more intuitive and effective risk data are provided for the user as reference, and the user can decide a trip plan at any time according to the risk values of the infectious diseases in all areas.
Description
Technical Field
The embodiment of the invention relates to the technical field of disease control, in particular to an infectious disease prevention and control method, an infectious disease prevention and control device, computer equipment and a storage medium.
Background
Infectious diseases are a group of diseases caused by various pathogens that can be transmitted from person to person, animal to animal or human to animal. Typically, the disease is transmitted by direct contact with infected individuals, the body fluids of infected individuals, the excretions of infected individuals, and contaminated objects of infected individuals, and may be transmitted by air, water sources, food, contact, soil, body fluids, and feces mouths. The characteristics of infectious diseases include infectivity and prevalence, immunity after infection, seasonal or endemic infectious diseases, and the like. Common infectious diseases include chicken pox, parotitis, influenza and the like, the diseases are usually spread in a small range or a large range around after one occurrence, and if measures are not taken timely, the infection area is likely to be enlarged continuously.
At present, most of infectious diseases are prevented and controlled by adopting a mode of controlling an infectious source and cutting off a transmission path manually, when an infected person is found, the infected person is subjected to isolation treatment, an active area where the infected person is located is closely observed, and a new infectious source is cut off. However, this prevention and control measure has some disadvantages, and usually, when the management and control are started, the infection source is often in contact with many healthy people, so that the management and control are not in time, the infection area is further enlarged, and the artificial management usually causes the message delay, so that people cannot predict the risk of infection in time.
Disclosure of Invention
The embodiment of the invention provides an infectious disease prevention and control method, an infectious disease prevention and control device, computer equipment and a storage medium, so that a user can timely acquire a required infectious disease risk value, timely prevention and control of infectious diseases are realized, and more intuitive and effective data are provided for the user as a reference.
In a first aspect, embodiments of the present invention provide a method for preventing and controlling infectious diseases, the method including:
acquiring infectious disease transmission influence factor information and confirmed diagnosis user information in a preset area;
and inputting the infectious disease propagation influence factor information and the information of the confirmed diagnosis user into a 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 further provides an infectious disease prevention and control apparatus, including:
the information acquisition module is used for acquiring infectious disease propagation influence factor information and confirmed diagnosis user information in a preset area;
and the risk value prediction module is used for inputting the infectious disease propagation influence factor information and the information of the confirmed diagnosis user into the trained prediction model and outputting 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, where the computer device includes:
one or more processors;
a 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 method for preventing and controlling infectious diseases provided by any embodiment of the present invention.
In a fourth aspect, embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the infectious disease prevention and control method provided by any of the embodiments of the present invention.
The embodiment of the invention provides an infectious disease prevention and control method, which comprises the steps of firstly obtaining infectious disease propagation influence factor information and confirmed user information in a preset area, and then inputting the infectious disease propagation influence factor information and the confirmed user information into a prediction model after training, so as to predict and obtain an infectious disease risk value of the preset area. According to the infectious disease prevention and control method provided by the embodiment of the invention, factors influencing the spread of infectious diseases in the area to be predicted are considered, the actual morbidity situation of the local area is combined, and the trained prediction model is used for predicting the infectious disease risk value, so that the intelligentization of infectious disease prevention and control is realized, manual statistics and public notice are not needed, a user can timely know the required infectious disease risk value, the infectious diseases can be timely prevented and controlled, more visual and effective risk data are provided for the user as references, and the user can decide a trip plan at any time according to the infectious disease risk values of the current areas.
Drawings
FIG. 1 is a flowchart illustrating a method for preventing and controlling infectious diseases according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an infectious disease prevention and control apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a computer device according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Example one
Fig. 1 is a flowchart of an infectious disease prevention and control method according to an embodiment of the present invention. The present embodiment is applicable to predicting the currently required risk value of an infectious disease in any set area, and the method may be executed by the infectious disease prevention and control apparatus provided in the embodiment of the present invention, which may be implemented by hardware and/or software, and may be generally integrated into a computer device, which may be, but is not limited to, various personal computers, servers, laptops, smartphones, tablet computers, and the like. As shown in fig. 1, the method specifically comprises the following steps:
and S11, acquiring infectious disease transmission influence factor information and confirmed user information in the preset area.
The initial preset region may be a region determined by simply dividing the region according to the form of province level, city level, district level, or the like, or may be a region determined by self-defining according to the requirement. The infectious disease transmission influence factor information is an index of various factors which may influence the infectious disease transmission, and specifically may include one or more of temperature, humidity, particulate matter concentration in air, illumination intensity, and population density of a preset area. Since the transmission of droplets and the transmission of air account for a large proportion of the transmission routes of infectious diseases, both of these transmission routes are greatly affected by the above factors. Illustratively, when the air is relatively humid and/or the temperature is relatively moderate, the pathogens float and live in the air for a relatively long time, and thus have a greater probability of being transmitted, and in the case of a greater population density, the transmission efficiency of the pathogens will be higher than in the case of a sparsely populated area. That is, since the infectious disease risk value varies when the infectious disease transmission factor information varies, it is necessary to predict the infectious disease risk value by taking the infectious disease transmission factor information into consideration and using the information as an input to a prediction model.
The confirmed user information may include any relevant information of all current confirmed users in the preset area, and when the infection risk value needs to be predicted each time, all confirmed users in the preset area are determined first, and then the current required confirmed user information is obtained. Specifically, the method can be implemented in a crowdsourcing mode, wherein crowdsourcing refers to a method in which a company or an organization outsources work tasks performed by employees to a non-specific public network in a free and voluntary manner.
Optionally, the confirmed user information includes: confirm the user's user exposure data; correspondingly, obtaining the information of the confirmed user in the preset area comprises the following steps: performing communication between mobile terminals used by users based on Bluetooth broadcasting to generate a user contact record of each user; and if the user becomes the confirmed user, receiving the user contact record uploaded by the mobile terminal used by the confirmed user as the user contact data of the confirmed user. Specifically, the user contact data may be a user contact record within a preset time range, such as the last month, and the user contact record of the confirmed user may include identity information, contact time stamp, contact location, and the like of other users with which the confirmed user has been in contact. Communication may be performed between the mobile terminals of the users based on bluetooth broadcasting, and a user contact record may be generated once after each completion of the communication. Since the bluetooth broadcast has a certain distance limit, it can be determined that the users of both communication parties enter a contact distance that may be infected when communication occurs. User contact records generated by various users can be stored locally, and user contact data of currently required confirmed users are uploaded to a server only when the users are diagnosed, and normal users do not need to upload the data, so that the privacy of the users is protected as much as possible. When the user is diagnosed, the latest current user contact data can be uploaded once at preset time intervals, and the uploading is stopped after the user is cured, so that the infectious disease risk value can be predicted according to the latest condition.
Further optionally, communicating between the mobile terminals used by the users based on bluetooth broadcast to generate a user contact record for each user, comprising: sending a broadcast signal to the periphery once every preset time by the mobile terminal, and switching back to a receiving mode to receive the broadcast signal at the periphery after finishing sending each time; after receiving the surrounding broadcast signals each time, the mobile terminal generates a user contact record and stores the record locally. Specifically, the communication process between the mobile terminals may be: each mobile terminal sends a broadcast signal to the periphery once every preset time length, and switches back to a receiving mode to receive the broadcast signals sent by other mobile terminals around after sending is completed every time, the mobile terminal sending the signals can send a user identifier of the mobile terminal through low-power-consumption Bluetooth broadcasting to serve as user information of the user, the mobile terminal receiving the signals can generate a contact time stamp and a contact position when receiving the broadcast signals, and a user contact record is generated according to the received user information, the generated contact time stamp, the contact position and other information and is stored locally.
Further optionally, the confirmed user information further includes: user contact data identifying an intimate contact user of the 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 comprises the following steps: determining an intimate contact user from the user contact data of the diagnosed user; the close-contact user is notified to upload the user contact record as user contact data for the close-contact user. Specifically, besides the outside for confirmed diagnosis, the user contact data of the close contact user of the confirmed diagnosis user can be taken into consideration, and due to the fact that the onset of the infectious disease possibly has certain hysteresis, the predictability can be improved through the monitoring of the close contact user, so that the prediction of the risk value of the infectious disease is more accurate, and the prevention and control of the infectious disease are more timely. Wherein, the close contact user can be defined as a user who contacts with the diagnosed user more than a preset number of times within a certain time. Specifically, after receiving the user contact data of the diagnosed user, the close contact user of the diagnosed user is 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 the user contact data of the close contact user.
Further optionally, the confirmed user information further includes: the number of confirmed users and/or the positions of the confirmed users in the preset area. Specifically, the server may determine the number of confirmed users according to the received information of the confirmed users, and the confirmed users may acquire and upload their own positions while uploading user contact data each time, so that the server may acquire the positions of the confirmed users in the current preset area. The number and the position distribution condition of the confirmed users are factors which greatly affect the risk value of the infectious diseases, so that the more accurate prediction of the risk value of the infectious diseases can be realized according to the number and the position distribution condition of the confirmed users.
And S12, inputting the infectious disease propagation influence factor information and the confirmed diagnosis user information into the trained prediction model, and outputting the predicted infectious disease risk value of the preset region.
The prediction model may be any model capable of predicting the risk value of an infectious disease, and is not limited in this embodiment, and a model with a better effect may be specifically selected according to a comparison result between an actual prediction result and a real situation. After the infectious disease propagation influence factor information and the confirmed diagnosis user information in the preset area are obtained, the infectious disease propagation influence factor information and the confirmed diagnosis user information can be input into the trained prediction model to predict and obtain the infectious disease risk value of the preset area. Before the prediction model is used, historical infectious disease propagation influence factor information and confirmed user information can be used as input of the prediction model, and the corresponding historical real infectious disease risk value, namely the actual statistical probability of being infected, is used as output of the prediction model to train the prediction model, so that the trained prediction model is obtained. After the infectious disease risk value of the preset area is obtained, 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 infection in a certain area at any time, and decide whether to go to the area, and more visual and effective data can be provided for the trip and evasion planning of the user. Optionally, after the infectious disease risk value of the preset area is obtained, the preset area can be further finely adjusted according to the infectious disease risk value and the distribution of the confirmed users, so that the infectious disease development condition in one area can be better reflected.
On the basis of the above technical solution, optionally, after inputting the infectious disease propagation influence factor information and the confirmed diagnosis user information into the trained prediction model and outputting the predicted infectious disease risk value of the preset area, the method further includes: and adjusting the preset duration according to the infectious disease risk value. Specifically, when the infectious disease risk value is high, the preset area can be determined as a high-risk area, the high-risk area needs to be monitored more closely, namely, the contact record of the user can be more complete and sufficient by shortening the preset time, so that the condition that the user is contacted by the confirmed user is prevented from being overlooked, and the infectious disease risk value is more accurately predicted. When the infectious disease risk value is low, the preset area can be determined as a low risk area, and the storage of the user contact record and the communication between the mobile terminals can be reduced by prolonging the preset time, so that the corresponding resource waste is reduced.
According to the technical scheme provided by the embodiment of the invention, firstly, the infectious disease propagation influence factor information and the confirmed user information in the preset area are obtained, and then the infectious disease propagation influence factor information and the confirmed user information are input into the post-training prediction model, so that the infectious disease risk value of the preset area is obtained through prediction. By considering the factors influencing the spread of infectious diseases in the area to be predicted and combining with the local actual morbidity situation, and predicting the infectious disease risk value by using the trained prediction model, the intellectualization of infectious disease prevention and control is realized, manual statistics and public indication are not needed, so that a user can timely know the required infectious disease risk value, the infectious disease can be timely prevented and controlled, more visual and effective risk data are provided for the user as a reference, and the user can decide a trip plan at any time according to the infectious disease risk values of the current areas.
Example two
Fig. 2 is a schematic structural diagram of an infectious disease prevention and control apparatus according to a second embodiment of the present invention, which may be implemented by hardware and/or software, and may be generally integrated into a computer device, where the computer device may be, but is not limited to, various personal computers, servers, laptops, smart phones, tablet computers, and the like, for performing the infectious disease prevention and control method according to any embodiment of the present invention. As shown in fig. 2, the apparatus includes:
the information acquisition module 21 is used for acquiring infectious disease propagation influence factor information and confirmed diagnosis user information in a preset area;
and the risk value prediction module 22 is used for inputting the infectious disease propagation influence factor information and the confirmed diagnosis user information into the trained prediction model and outputting the predicted infectious disease risk value of the preset area.
According to the technical scheme provided by the embodiment of the invention, firstly, the infectious disease propagation influence factor information and the confirmed user information in the preset area are obtained, and then the infectious disease propagation influence factor information and the confirmed user information are input into the post-training prediction model, so that the infectious disease risk value of the preset area is obtained through prediction. By considering the factors influencing the spread of infectious diseases in the area to be predicted and combining with the local actual morbidity situation, and predicting the infectious disease risk value by using the trained prediction model, the intellectualization of infectious disease prevention and control is realized, manual statistics and public indication are not needed, so that a user can timely know the required infectious disease risk value, the infectious disease can be timely prevented and controlled, more visual and effective risk data are provided for the user as a reference, and the user can decide a trip plan at any time according to the infectious disease risk values of the current areas.
On the basis of the above technical solution, optionally, the confirmed diagnosis user information includes: confirm the user's user exposure data;
correspondingly, the information obtaining module 21 includes:
a user contact record generating unit for performing communication between mobile terminals used by users based on Bluetooth broadcasting to generate a user contact record of each user;
and the user contact data uploading unit is used for 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.
On the basis of the above technical solution, optionally, the user contact record generating unit includes:
the signal transmitting subunit is used for transmitting the broadcast signals to the periphery once every preset time interval through the mobile terminal and switching back to a receiving mode to receive the broadcast signals of the periphery after finishing transmitting each time;
and the user contact record generating subunit is used for generating a user contact record and storing the user contact record locally after receiving the surrounding broadcast signals each time through the mobile terminal.
On the basis of the above technical solution, optionally, the infectious disease prevention and control apparatus further includes:
and the preset duration adjusting module is used for adjusting the preset duration according to the infectious disease risk value after inputting the infectious disease propagation influence factor information and the confirmed diagnosis user information 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 confirmed diagnosis user information further includes: user contact data identifying an intimate contact user of the user;
correspondingly, the information obtaining module 21 further includes:
the close contact user determining unit is used for determining 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;
and the notification uploading unit is used for notifying 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 confirmed diagnosis user information further includes: the number of confirmed users and/or the positions of the confirmed users in the preset area.
On the basis of the above technical solution, optionally, the infectious disease propagation influence factor information includes one or more of temperature, humidity, concentration of particulate matter in air, illumination intensity, and population density of the preset area.
The infectious disease prevention and control device provided by the embodiment of the invention can execute the infectious disease prevention and control method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
It should be noted that, in the embodiment of the infectious disease prevention and control apparatus, the included units and modules are only divided according to the functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a computer device provided in the third embodiment of the present invention, and shows a block diagram of an exemplary computer device suitable for implementing the embodiment of the present invention. The computer device shown in fig. 3 is only an example, and should not bring any limitation to the function and the scope of use of the embodiments of the present invention. As shown in fig. 3, the computer apparatus includes a processor 31, a memory 32, an input device 33, and an output device 34; the number of the processors 31 in the computer device may be one or more, 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 device may be connected by a bus or in other ways, and the connection by the bus is taken as an example in fig. 3.
The memory 32 is used as a computer-readable storage medium for storing 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, the information acquisition module 21 and the risk value prediction module 22 in the infectious disease prevention and control apparatus). The processor 31 executes various functional applications and data processing of the computer device by executing software programs, instructions and modules stored in the memory 32, so as to implement the infectious disease prevention and control method.
The memory 32 may mainly include a program storage area and a data storage area, wherein the program storage 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 use of the computer device, and the like. Further, the 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 examples, the memory 32 may further include memory located remotely from the processor 31, which may be connected to a computer device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 33 may be used to acquire infectious disease transmission factor information and confirmed user information within a preset area, and to generate key signal inputs related to user settings and function control of the computer apparatus, etc. The output device 34 may include a display screen or the like, which may be used to present the predicted infectious disease risk value data to the user.
Example four
A fourth embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for infectious disease control, the method comprising:
acquiring infectious disease transmission influence factor information and confirmed diagnosis user information in a preset area;
and inputting the infectious disease propagation influence factor information and the confirmed diagnosis user information into the trained prediction model, and outputting 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: mounting 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, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. 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 the program instructions to the computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the embodiments of the present invention provide a storage medium containing computer-executable instructions, and the computer-executable instructions are not limited to the operations of the method described above, and may also perform related operations in the infectious disease prevention and control method provided in any embodiments of the present invention.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate 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, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. An infectious disease prevention and control method, comprising:
acquiring infectious disease transmission influence factor information and confirmed diagnosis user information in a preset area;
and inputting the infectious disease propagation influence factor information and the information of the confirmed diagnosis user into a trained prediction model, and outputting the predicted infectious disease risk value of the preset area.
2. An infectious disease prevention and control method according to claim 1, wherein the confirmed user information includes: confirm the user's user exposure data;
correspondingly, the acquiring of the information of the confirmed user in the preset area includes:
performing communication between mobile terminals used by users based on Bluetooth broadcasting to generate a user contact record of each user;
and if the user becomes the confirmed user, receiving a user contact record uploaded by a mobile terminal used by the confirmed user as user contact data of the confirmed user.
3. An infectious disease prevention and control method according to claim 2, wherein the performing communication between mobile terminals used by users based on bluetooth broadcasting to generate a user contact record for each user comprises:
sending a broadcast signal to the periphery once every preset time by the mobile terminal, and switching back to a receiving mode to receive the broadcast signal at the periphery after finishing sending each time;
after receiving the surrounding broadcast signals each time, the mobile terminal generates a user contact record and stores the record locally.
4. An infectious disease prevention and control method according to claim 3, further comprising, after the inputting the infectious disease propagation influence factor information and the diagnosed user information into a trained predictive model and outputting a predicted infectious disease risk value of the predetermined area:
and adjusting the preset duration according to the infectious disease risk value.
5. An infectious disease prevention and control method according to claim 2, wherein the confirmed user information further comprises: user contact data identifying an intimate contact user of the user;
correspondingly, after the receiving, if the user becomes the confirmed user, the user contact record uploaded by the mobile terminal used by the confirmed user as the user contact data of the confirmed user, the method further includes:
determining the close contact user according to the user contact data of the diagnosed user;
notifying the close-contact user to upload a user contact record as user contact data for the close-contact user.
6. An infectious disease prevention and control method according to claim 2, wherein the confirmed user information further comprises: the number of confirmed users and/or the positions of the confirmed users in the preset area.
7. An infectious disease prevention and control method according to claim 1, wherein the infectious disease transmission influence factor information includes one or more of temperature, humidity, concentration of particulate matter in the air, illumination intensity, and population density of the preset area.
8. An infectious disease prevention and control device, comprising:
the information acquisition module is used for acquiring infectious disease propagation influence factor information and confirmed diagnosis user information in a preset area;
and the risk value prediction module is used for inputting the infectious disease propagation influence factor information and the information of the confirmed diagnosis user into the trained prediction model and outputting the predicted infectious disease risk value of the preset area.
9. A computer device, comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the infectious disease control method of any one of claims 1-7.
10. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the infectious disease prevention and control method according to any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110410104.XA CN113113154A (en) | 2021-04-16 | 2021-04-16 | Infectious disease prevention and control method and device, computer equipment and storage medium |
| PCT/CN2021/118521 WO2022217829A1 (en) | 2021-04-16 | 2021-09-15 | Infectious disease prevention and control method and apparatus, and computer device and storage medium |
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| CN202110410104.XA CN113113154A (en) | 2021-04-16 | 2021-04-16 | Infectious disease prevention and control method and device, computer equipment and storage medium |
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Cited By (6)
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| CN113707338A (en) * | 2021-10-28 | 2021-11-26 | 南方科技大学 | Scenic spot epidemic situation risk prediction and current limiting method, device, equipment and storage medium |
| CN114613518A (en) * | 2022-03-31 | 2022-06-10 | 医渡云（北京）技术有限公司 | Infectious disease prediction method and device based on spatial information, storage medium and equipment |
| WO2022217829A1 (en) * | 2021-04-16 | 2022-10-20 | 南方科技大学 | Infectious disease prevention and control method and apparatus, and computer device and storage medium |
| CN116644869A (en) * | 2023-07-27 | 2023-08-25 | 中南大学湘雅医院 | Real-time data analysis and public health event prediction system |
| CN116721781A (en) * | 2023-07-11 | 2023-09-08 | 中国科学院地理科学与资源研究所 | Method and device for predicting insect vector infectious disease transmission risk, electronic equipment and medium |
| CN117457231A (en) * | 2023-10-27 | 2024-01-26 | 中山大学 | Virus propagation risk calculation method and device based on Markov chain model |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2022217829A1 (en) * | 2021-04-16 | 2022-10-20 | 南方科技大学 | Infectious disease prevention and control method and apparatus, and computer device and storage medium |
| CN113707338A (en) * | 2021-10-28 | 2021-11-26 | 南方科技大学 | Scenic spot epidemic situation risk prediction and current limiting method, device, equipment and storage medium |
| CN113707338B (en) * | 2021-10-28 | 2022-08-30 | 南方科技大学 | Scenic spot epidemic situation risk prediction and current limiting method, device, equipment and storage medium |
| CN114613518A (en) * | 2022-03-31 | 2022-06-10 | 医渡云（北京）技术有限公司 | Infectious disease prediction method and device based on spatial information, storage medium and equipment |
| CN116721781A (en) * | 2023-07-11 | 2023-09-08 | 中国科学院地理科学与资源研究所 | Method and device for predicting insect vector infectious disease transmission risk, electronic equipment and medium |
| CN116644869A (en) * | 2023-07-27 | 2023-08-25 | 中南大学湘雅医院 | Real-time data analysis and public health event prediction system |
| CN116644869B (en) * | 2023-07-27 | 2023-11-10 | 中南大学湘雅医院 | Real-time data analysis and public health event prediction system |
| CN117457231A (en) * | 2023-10-27 | 2024-01-26 | 中山大学 | Virus propagation risk calculation method and device based on Markov chain model |
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| WO2022217829A1 (en) | 2022-10-20 |
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