Influenza risk analysis control system and method based on data analysis

Abstract

The invention discloses an influenza risk analysis control system and method based on data analysis, and belongs to the field of data analysis. The invention obtains characteristic data of influenza and data on the degree of concentration of people at real-time locations of infected people, and substitutes them into an influenza infection anomaly analysis model to perform influenza infection anomaly analysis, obtains future environmental change data and imports them into an environmental infection anomaly analysis model to perform environmental infection anomaly analysis, imports the results of the influenza infection anomaly analysis and the results of the environmental infection anomaly analysis into an influenza risk analysis strategy to perform influenza risk analysis, releases influenza risk to a disease control department according to the results of the influenza risk analysis, conducts a comprehensive analysis on the infection probability of people near the trajectory of influenza virus carriers, and comprehensively analyzes the impact of environmental changes on the spread of influenza viruses, thereby conducting a comprehensive and accurate analysis on the influenza virus transmission efficiency in the future, thereby improving the accuracy of influenza risk release and simultaneously improving the ability of the disease control department to grasp influenza risk.

Description

Technical Field

[0001] The present invention belongs to the field of data analysis, and specifically relates to an influenza risk analysis control system and method based on data analysis. Background Art

[0002] In the process of influenza risk analysis and control, the existing technology is unable to comprehensively analyze the infection probability of people near the trajectory of influenza virus carriers, and is unable to comprehensively analyze the impact of environmental changes on the spread of influenza viruses, which leads to inaccurate analysis of the influenza virus transmission efficiency in the future, resulting in low accuracy of influenza risk release and low ability of disease control departments to grasp influenza risks. Most of the existing technologies have the above problems;

[0003] For example, a Chinese patent with application publication number CN112117011A discloses an early risk warning method, device, and computer equipment for infectious diseases based on artificial intelligence. The method includes: receiving case information from a first user terminal and determining whether it matches a preset infectious disease patient type, and if so, sending an information acquisition request to obtain detailed patient information fed back by the first user terminal, quantifying the case information and detailed patient information to obtain patient quantitative information, obtaining patient risk values ​​corresponding to the patient quantitative information according to a patient risk prediction model, and obtaining risk warning information for each region in combination with a regional risk analysis model. This invention is based on intelligent decision-making technology and belongs to the field of artificial intelligence and digital medicine. It can easily and quickly distinguish early influenza virus infections, and quickly obtain regional risk warning information in combination with the regional risk analysis model and the patient risk value;

[0004] The above patents all have the problems raised by this background technology. In order to solve the problems raised by this background technology, this application designs an influenza risk analysis control system and method based on data analysis. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention proposes an influenza risk analysis control system and method based on data analysis.

[0006] To achieve the above object, the present invention provides the following technical solution: an influenza risk analysis and control method based on data analysis, which comprises the following specific steps:

[0007] Obtain influenza characteristic data, as well as environmental change data and real-time location and concentration data of infected people;

[0008] Obtain the characteristic data of influenza and the real-time location and concentration data of infected people, and substitute them into the influenza infection anomaly analysis model to perform influenza infection anomaly analysis;

[0009] Obtain future environmental change data and import it into the environmental infection anomaly analysis model to conduct environmental infection anomaly analysis;

[0010] Import the results of influenza infection abnormality analysis and environmental infection abnormality analysis into the influenza risk analysis strategy to conduct influenza risk analysis;

[0011] Release influenza risks to disease control departments based on influenza risk analysis results.

[0012] It should be noted that, as a preferred technical solution for the influenza risk analysis and control method based on data analysis, the specific steps of obtaining characteristic data of influenza and simultaneously obtaining environmental change data and data on the degree of concentration of people at the real-time location of the infected population are as follows:

[0013] S11, obtaining future weather change data through a weather forecast acquisition terminal, and obtaining weather data adapted to the influenza virus, and storing the data in a first storage component;

[0014] S12, obtaining the maximum transmission distance of the influenza virus and the transmission probability at the maximum transmission distance, and storing them in the second storage component; it should be noted that the maximum transmission distance of the influenza virus and the transmission probability at the maximum transmission distance here are obtained according to virus transmission experiments;

[0015] S13. Obtain the crowd gathering data corresponding to the real-time location of the infected person, wherein the crowd gathering data is the number of people within the maximum propagation distance of the real-time location of the infected person, and is stored in the third storage component, wherein the number of people is obtained through mobile phone base station positioning.

[0016] It should be noted that, as a preferred technical solution for the influenza risk analysis and control method based on data analysis, the acquisition of influenza characteristic data and the real-time location of the infected population and the concentration of people data are substituted into the influenza infection anomaly analysis model to perform influenza infection anomaly analysis, which includes the following specific steps:

[0017] S21. Obtain the data on the degree of gathering of people at the real-time location of the corresponding infected person, and at the same time obtain the maximum transmission distance of the influenza virus and the transmission probability data at the maximum transmission distance, obtain the real-time distance between the i-th corresponding infected person and the j-th transmitting person, and substitute it into the transmission probability calculation formula to calculate the transmission probability of the j-th transmitting person, wherein the transmission probability calculation formula between the i-th corresponding infected person and the j-th transmitting person is: , where Tj is the time that the jth transmission person is within the maximum transmission distance of the i-th corresponding infected person, um is the transmission probability data at the maximum transmission distance, dmax is the maximum transmission distance of the influenza virus, djt is the distance from the jth transmission person to the i-th corresponding infected person at time t, exp() is the power of e, dt is the time integral, and k is the transmission coefficient, which is used to reflect the speed of transmission of different influenza viruses, and the value range is 0 to 1;

[0018] S22. Obtain the calculated transmission probability of the jth transmission person corresponding to different infected persons, and calculate the overall transmission probability of the jth transmission person. , where N is the number of infected persons whose distance from the jth spreading person is less than or equal to the maximum spreading distance, TxjN is the transmission probability between the Nth corresponding infected person and the jth spreading person, is the symbol for multiplication from 1 to N, that is ;

[0019] It should be noted that, as a preferred technical solution for the influenza risk analysis and control method based on data analysis, the acquisition of influenza characteristic data and the real-time location of the infected population and the concentration of people data are substituted into the influenza infection anomaly analysis model for influenza infection anomaly analysis, and further includes the following specific steps:

[0020] S23. Obtain the overall transmission probability of all persons in the jurisdiction, and substitute the overall transmission probability of all persons into the calculation formula of influenza infection abnormal analysis value to calculate the influenza infection abnormal analysis value, wherein the calculation formula of influenza infection abnormal analysis value is: , where M is the number of people in the jurisdiction and Tzm is the set transmission probability safety value.

[0021] It should be noted here that as a preferred technical solution for the influenza risk analysis and control method based on data analysis, the acquisition of future environmental change data and importing it into the environmental infection anomaly analysis model for environmental infection anomaly analysis includes the following specific contents: obtaining environmental factor change data of the future environment, and simultaneously obtaining the suitable range of environmental factors for influenza viruses, wherein the environmental factors are temperature and humidity, and substituting them into the environmental infection anomaly analysis value calculation formula to calculate the environmental infection anomaly analysis value, wherein the environmental infection anomaly analysis value calculation formula is: , where S is the number of environmental factors, ac is the proportion coefficient of the cth environmental factor, Ta is the prediction time, xct is the specific value of the cth environmental factor at time t, xcm is the median of the suitable range of the cth environmental factor, xcmax is the maximum value of the suitable range of the cth environmental factor, and xcmin is the minimum value of the suitable range of the cth environmental factor;

[0022] It should be noted here that as a preferred technical solution for the influenza risk analysis and control method based on data analysis, the specific content of importing the influenza infection abnormality analysis results and the environmental infection abnormality analysis results into the influenza risk analysis strategy for influenza risk analysis is:

[0023] Obtain the calculated influenza infection abnormality analysis value and environmental infection abnormality analysis value, and substitute them into the influenza risk analysis value calculation formula to calculate the influenza risk analysis value, wherein the influenza risk analysis value calculation formula is: , where b is the coefficient of influenza infection abnormality;

[0024] The calculated influenza risk analysis value is compared with the set influenza risk analysis threshold. If the influenza risk analysis value is greater than or equal to the set influenza risk analysis threshold, an influenza transmission warning is issued to the disease control department. If the calculated influenza risk analysis value is less than the set influenza risk analysis threshold, no influenza transmission warning is issued to the disease control department.

[0025] The influenza risk analysis and control system based on data analysis is implemented based on the above-mentioned influenza risk analysis and control method based on data analysis, and specifically comprises a data acquisition module, an influenza infection anomaly analysis module, an environmental infection anomaly analysis module, an influenza risk analysis module, an influenza risk release module and a control module, wherein the data acquisition module is used to acquire characteristic data of influenza, and simultaneously acquire environmental change data and data on the degree of gathering of people at the real-time location of the infected population; the influenza infection anomaly analysis module is used to acquire characteristic data of influenza and data on the degree of gathering of people at the real-time location of the infected population, and substitute them into an influenza infection anomaly analysis model to perform influenza infection anomaly analysis; the environmental infection anomaly analysis module is used to acquire future environmental change data and import them into an environmental infection anomaly analysis model to perform environmental infection anomaly analysis; the influenza risk analysis module is used to import the results of influenza infection anomaly analysis and the results of environmental infection anomaly analysis into an influenza risk analysis strategy to perform influenza risk analysis; the influenza risk release module is used to release influenza risk to a disease control department according to the results of influenza risk analysis; and the control module is used to control the operation of the data acquisition module, the influenza infection anomaly analysis module, the environmental infection anomaly analysis module, the influenza risk analysis module and the influenza risk release module.

[0026] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0027] The processor executes the above-mentioned influenza risk analysis and control method based on data analysis by calling the computer program stored in the memory.

[0028] A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned influenza risk analysis and control method based on data analysis.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] The present invention obtains characteristic data of influenza, and simultaneously obtains environmental change data and data on the degree of gathering of people at real-time locations of infected people, obtains the characteristic data of influenza and the data on the degree of gathering of people at real-time locations of infected people, substitutes them into an influenza infection anomaly analysis model to perform influenza infection anomaly analysis, obtains future environmental change data and imports them into the environmental infection anomaly analysis model to perform environmental infection anomaly analysis, imports the results of the influenza infection anomaly analysis and the results of the environmental infection anomaly analysis into an influenza risk analysis strategy to perform influenza risk analysis, publishes influenza risk to a disease control department according to the results of the influenza risk analysis, comprehensively analyzes the infection probability of people near the trajectory of influenza virus carriers, comprehensively analyzes the impact of environmental changes on the spread of influenza viruses, and then comprehensively and accurately analyzes the influenza virus infection efficiency in the future, thereby improving the accuracy of influenza risk publication and improving the ability of the disease control department to grasp influenza risk. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a schematic diagram of the overall process of the influenza risk analysis and control method based on data analysis of the present invention;

[0032] Figure 2 This is a schematic diagram of step S1 of the influenza risk analysis and control system based on data analysis of the present invention;

[0033] Figure 3 This is a schematic diagram of step S2 of the influenza risk analysis and control system based on data analysis of the present invention;

[0034] Figure 4 It is a schematic diagram of the overall framework of the influenza risk analysis and control system based on data analysis of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present application and its application or use.

[0036] Example 1

[0037] To solve the technical problem raised in the background technology: the existing technology is unable to comprehensively analyze the infection probability of people near the trajectory of influenza virus carriers, and is unable to comprehensively analyze the impact of environmental changes on the spread of influenza viruses, which leads to inaccurate analysis of the influenza virus transmission efficiency in the future, resulting in low accuracy of influenza risk release and low ability of disease control departments to grasp influenza risks; the present invention provides a preferred embodiment: Figure 1-Figure 3 As shown, the influenza risk analysis and control method based on data analysis includes the following specific steps:

[0038] S1. Obtain characteristic data of influenza, as well as environmental change data and real-time location data of infected people and their concentration level;

[0039] In one specific embodiment, S1 includes the following specific steps: S11, obtaining future weather change data through a weather forecast acquisition terminal, and simultaneously obtaining weather data adapted to the influenza virus, and storing the data in a first storage component;

[0040] S12, obtaining the maximum transmission distance of the influenza virus and the transmission probability at the maximum transmission distance, and storing them in the second storage component; it should be noted that the maximum transmission distance of the influenza virus and the transmission probability at the maximum transmission distance here are obtained according to virus transmission experiments;

[0041] Obtaining the maximum transmission distance of influenza virus and the transmission probability at the maximum transmission distance usually requires the results of epidemiological and virological studies. These data can be obtained and stored in the following ways:

[0042] S121. Scientific research and epidemiological investigations: By studying the transmission patterns of influenza viruses and the epidemiological characteristics of the disease, scientists and public health experts can determine the maximum transmission distance of influenza viruses;

[0043] S122. Virology laboratory studies: In virology laboratories, researchers can study the transmission characteristics of influenza viruses through experimental methods such as virus culture and animal model experiments. These experiments can provide data on the distance and probability of virus transmission;

[0044] S123. Flu data: By monitoring and tracking flu cases, public health departments can collect actual data on the spread of flu. These data can be used to calculate the spread distance and probability of spread;

[0045] S124. Mathematical and computational models: To better understand the spread of influenza viruses, researchers may use mathematical and computational models to simulate the spread of the virus in a population. These models can predict the maximum spread distance and the probability of spread;

[0046] S125. Storing and updating data: Once the maximum propagation distance and propagation probability are determined, these data can be stored in the second storage component. In order to ensure the accuracy and timeliness of the data, these data should be updated regularly;

[0047] S13, obtaining the crowd gathering degree data corresponding to the real-time location of the infected person, wherein the crowd gathering degree data is the number of people within the maximum propagation distance of the real-time location of the infected person, and is stored in the third storage component, wherein the number of people is obtained by mobile phone base station positioning;

[0048] To obtain the real-time location data of infected people, it is usually necessary to combine mobile network data and geographic information system (GIS). The following are the general steps to achieve this function:

[0049] S131. Locating infected persons: Locating the approximate location of infected persons through the base station signals of their mobile phones. This usually involves querying the services of mobile network operators to estimate the location based on the communication between the mobile phone and surrounding base stations;

[0050] S132. Determine the spread range: Determine the maximum spread distance that an infected person may affect based on the spread characteristics of the influenza virus (such as droplet spread distance, airborne spread distance, etc.). This step may require the participation of disease prevention and control experts to determine a reasonable spread distance;

[0051] S133. Calculate the number of people: within a certain propagation range, by querying the positioning data of all mobile phone base stations in the area, count the number of people within this range. This requires a central database to integrate and process the positioning information from different base stations;

[0052] S134. Store and analyze data: The acquired data on the number of people is stored in the third storage component and updated and analyzed in real time using data analysis tools. This data can be used to assess the degree of gathering of people and provide support for public health decision-making.

[0053] In order to achieve this process, cross-departmental cooperation is required, including public health departments, mobile network operators, location service providers, data processing and analysis experts, etc. In addition, it should be ensured that this process complies with privacy protection laws and regulations and ensures that the sensitivity and privacy rights of personal location information are properly handled;

[0054] S2. Obtain characteristic data of influenza and data on the degree of concentration of people in real-time locations of infected people and substitute them into an influenza infection anomaly analysis model to perform influenza infection anomaly analysis;

[0055] In one specific embodiment, S2 includes the following specific steps: S21, obtaining the data of the degree of gathering of people at the real-time location of the corresponding infected person, and obtaining the maximum transmission distance of the influenza virus and the transmission probability data at the maximum transmission distance, obtaining the real-time distance between the i-th corresponding infected person and the j-th transmitting person, and substituting it into the transmission probability calculation formula to calculate the transmission probability of the j-th transmitting person, wherein the transmission probability calculation formula between the i-th corresponding infected person and the j-th transmitting person is: , where Tj is the time that the jth transmission person is within the maximum transmission distance of the i-th corresponding infected person, um is the transmission probability data at the maximum transmission distance, dmax is the maximum transmission distance of the influenza virus, djt is the distance from the jth transmission person to the i-th corresponding infected person at time t, exp() is the power of e, dt is the time integral, and k is the transmission coefficient, which is used to reflect the speed of transmission of different influenza viruses, and the value range is 0 to 1;

[0056] S22. Obtain the calculated transmission probability of the jth transmission person corresponding to different infected persons, and calculate the overall transmission probability of the jth transmission person. , where N is the number of infected persons whose distance from the jth spreading person is less than or equal to the maximum spreading distance, TxjN is the transmission probability between the Nth corresponding infected person and the jth spreading person, is the symbol for multiplication from 1 to N, that is ;

[0057] S23. Obtain the overall transmission probability of all persons in the jurisdiction, and substitute the overall transmission probability of all persons into the calculation formula of influenza infection abnormal analysis value to calculate the influenza infection abnormal analysis value, wherein the calculation formula of influenza infection abnormal analysis value is: , where M is the number of people in the jurisdiction, and Tzm is the set transmission probability safety value;

[0058] S3, obtaining future environmental change data and importing it into the environmental infection anomaly analysis model to perform environmental infection anomaly analysis;

[0059] In one specific embodiment, S3 includes the following specific steps: obtaining environmental factor change data of the future environment, and obtaining the suitable range of environmental factors for influenza virus, wherein the environmental factors are temperature and humidity, and substituting them into the environmental infection abnormal analysis value calculation formula to calculate the environmental infection abnormal analysis value, wherein the environmental infection abnormal analysis value calculation formula is: , where S is the number of environmental factors, ac is the proportion coefficient of the cth environmental factor, Ta is the prediction time, xct is the specific value of the cth environmental factor at time t, xcm is the median of the suitable range of the cth environmental factor, xcmax is the maximum value of the suitable range of the cth environmental factor, and xcmin is the minimum value of the suitable range of the cth environmental factor;

[0060] S4, importing the results of influenza infection abnormality analysis and environmental infection abnormality analysis into the influenza risk analysis strategy to perform influenza risk analysis;

[0061] In one specific embodiment, S4 includes the following specific steps: obtaining the calculated influenza infection abnormality analysis value and the environmental infection abnormality analysis value, substituting them into the influenza risk analysis value calculation formula to calculate the influenza risk analysis value, wherein the influenza risk analysis value calculation formula is: , where b is the coefficient of influenza infection abnormality;

[0062] The calculated influenza risk analysis value is compared with the set influenza risk analysis threshold. If the influenza risk analysis value is greater than or equal to the set influenza risk analysis threshold, an influenza transmission warning is issued to the disease control department. If the calculated influenza risk analysis value is less than the set influenza risk analysis threshold, no influenza transmission warning is issued to the disease control department.

[0063] S5. Release influenza risk information to the disease control department based on the results of influenza risk analysis.

[0064] It should be noted that in this embodiment, the c-th environmental factor proportion coefficient and the influenza risk analysis threshold are determined in the following manner: at least 500 sets of influenza characteristic data are obtained, and at the same time, environmental change data and data on the degree of concentration of people at the real-time location of the infected population are obtained, and at the same time, a judgment result on whether to send influenza risk at a future time is obtained, and the influenza characteristic data, environmental change data and data on the degree of concentration of people at the real-time location of the infected population are substituted into the influenza risk analysis value calculation formula to calculate the influenza risk analysis value, and the calculated influenza risk analysis value and the judgment result of influenza risk are substituted into the fitting software, and the values ​​of the c-th environmental factor proportion coefficient and the influenza risk analysis threshold that meet the highest judgment accuracy are output.

[0065] It should be noted that in this embodiment, the advantages of this embodiment over the prior art are: obtaining characteristic data of influenza, and simultaneously obtaining environmental change data and data on the degree of gathering of people at the real-time location of the infected population, obtaining the characteristic data of influenza and the data on the degree of gathering of people at the real-time location of the infected population, and substituting them into the influenza infection anomaly analysis model for influenza infection anomaly analysis, obtaining future environmental change data and importing them into the environmental infection anomaly analysis model for environmental infection anomaly analysis, importing the influenza infection anomaly analysis results and the environmental infection anomaly analysis results into the influenza risk analysis strategy for influenza risk analysis, publishing influenza risks to the disease control department based on the influenza risk analysis results, conducting a comprehensive analysis of the infection probability of people near the trajectory of influenza virus carriers, and comprehensively analyzing the impact of environmental changes on the spread of influenza viruses, and then conducting a comprehensive and accurate analysis of the influenza virus transmission efficiency in the future, thereby improving the accuracy of influenza risk release and improving the disease control department's ability to grasp influenza risks.

[0066] Example 2

[0067] like Figure 4 As shown, an influenza risk analysis and control system based on data analysis is implemented based on the above-mentioned influenza risk analysis and control method based on data analysis, and specifically includes a data acquisition module, an influenza infection anomaly analysis module, an environmental infection anomaly analysis module, an influenza risk analysis module, an influenza risk release module and a control module, wherein the data acquisition module is used to obtain characteristic data of influenza, and simultaneously obtain environmental change data and data on the degree of concentration of people at the real-time location of the infected population; the influenza infection anomaly analysis module is used to obtain characteristic data of influenza and data on the degree of concentration of people at the real-time location of the infected population, and substitute them into an influenza infection anomaly analysis model to perform influenza infection anomaly analysis; the environmental infection anomaly analysis module is used to obtain future environmental change data and import them into an environmental infection anomaly analysis model to perform environmental infection anomaly analysis; the influenza risk analysis module is used to import the results of influenza infection anomaly analysis and the results of environmental infection anomaly analysis into an influenza risk analysis strategy to perform influenza risk analysis; the influenza risk release module is used to release influenza risks to the disease control department according to the results of influenza risk analysis; and the control module is used to control the operation of the data acquisition module, the influenza infection anomaly analysis module, the environmental infection anomaly analysis module, the influenza risk analysis module and the influenza risk release module.

[0068] Example 3

[0069] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0070] The processor executes the above-mentioned influenza risk analysis and control method based on data analysis by calling the computer program stored in the memory.

[0071] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement the influenza risk analysis and control method based on data analysis provided by the above method embodiment. The electronic device may also include other components for implementing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.

[0072] Example 4

[0073] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0074] When the computer program runs on a computer device, the computer device is enabled to execute the above-mentioned influenza risk analysis and control method based on data analysis.

[0075] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0076] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

Claims

1. A method for influenza risk analysis and control based on data analysis, characterized in that: It includes the following specific steps: Obtain influenza characteristic data, as well as environmental change data and real-time location and concentration data of infected people; Obtain the characteristic data of influenza and the real-time location and concentration data of infected people, and substitute them into the influenza infection anomaly analysis model to perform influenza infection anomaly analysis; Obtain future environmental change data and import it into the environmental infection anomaly analysis model to conduct environmental infection anomaly analysis; Import the results of influenza infection abnormality analysis and environmental infection abnormality analysis into the influenza risk analysis strategy to conduct influenza risk analysis; Release influenza risk to disease control departments based on influenza risk analysis results; The method of obtaining characteristic data of influenza and the real-time location data of infected people and substituting them into the influenza infection abnormality analysis model to perform influenza infection abnormality analysis includes the following specific steps: Obtain the data on the degree of gathering of people at the real-time location of the corresponding infected person, and at the same time obtain the maximum transmission distance of the influenza virus and the transmission probability data at the maximum transmission distance, obtain the real-time distance between the i-th corresponding infected person and the j-th transmitting person, and substitute it into the transmission probability calculation formula to calculate the transmission probability of the j-th transmitting person. Among them, the transmission probability calculation formula between the i-th corresponding infected person and the j-th transmitting person is: , where Tj is the time that the jth transmission person is within the maximum transmission distance of the i-th corresponding infected person, um is the transmission probability data at the maximum transmission distance, dmax is the maximum transmission distance of the influenza virus, djt is the distance from the jth transmission person to the i-th corresponding infected person at time t, exp() is the power of e, dt is the time integral, and k is the transmission coefficient; Get the calculated transmission probability of the jth transmission person corresponding to different infected persons, and calculate the overall transmission probability of the jth transmission person. , where N is the number of infected persons whose distance from the jth spreading person is less than or equal to the maximum spreading distance, TxjN is the transmission probability between the Nth corresponding infected person and the jth spreading person, is the multiplication symbol from 1 to N; The step of obtaining the characteristic data of influenza and the real-time location data of the infected population and substituting them into the influenza infection abnormality analysis model to perform influenza infection abnormality analysis also includes the following specific steps: The overall transmission probability of all personnel in the jurisdiction is obtained, and the overall transmission probability of all personnel is substituted into the calculation formula of influenza infection abnormal analysis value to calculate the influenza infection abnormal analysis value, where the calculation formula of influenza infection abnormal analysis value is: , where M is the number of people in the jurisdiction, and Tzm is the set transmission probability safety value; The method of obtaining future environmental change data and importing it into the environmental infection anomaly analysis model for environmental infection anomaly analysis includes the following specific contents: obtaining environmental factor change data of the future environment, and simultaneously obtaining the suitable range of environmental factors for influenza virus, wherein the environmental factors are temperature and humidity, and substituting them into the environmental infection anomaly analysis value calculation formula to calculate the environmental infection anomaly analysis value, wherein the environmental infection anomaly analysis value calculation formula is: , where S is the number of environmental factors, ac is the proportion coefficient of the cth environmental factor, Ta is the prediction time, xct is the specific value of the cth environmental factor at time t, xcm is the median of the suitable range of the cth environmental factor, xcmax is the maximum value of the suitable range of the cth environmental factor, and xcmin is the minimum value of the suitable range of the cth environmental factor; The specific contents of importing the influenza infection abnormality analysis results and the environmental infection abnormality analysis results into the influenza risk analysis strategy for influenza risk analysis are as follows: Obtain the calculated influenza infection abnormality analysis value and environmental infection abnormality analysis value, and substitute them into the influenza risk analysis value calculation formula to calculate the influenza risk analysis value, wherein the influenza risk analysis value calculation formula is: , where b is the coefficient of influenza infection abnormality; The calculated influenza risk analysis value is compared with the set influenza risk analysis threshold. If the influenza risk analysis value is greater than or equal to the set influenza risk analysis threshold, an influenza transmission warning is issued to the disease control department. If the calculated influenza risk analysis value is less than the set influenza risk analysis threshold, no influenza transmission warning is issued to the disease control department. The specific steps of obtaining characteristic data of influenza and simultaneously obtaining environmental change data and data on the degree of concentration of people at the real-time locations of infected people are as follows: Acquire future weather change data through a weather forecast acquisition terminal, and simultaneously acquire weather data adapted to the influenza virus, and store the data in a first storage component; Obtaining the maximum transmission distance of the influenza virus and the transmission probability at the maximum transmission distance, and storing them in the second storage component; The crowd gathering data corresponding to the real-time location of the infected person is obtained, wherein the crowd gathering data is the number of people within the maximum propagation distance of the real-time location of the infected person.

2. An influenza risk analysis and control system based on data analysis, which is implemented based on the influenza risk analysis and control method based on data analysis as claimed in claim 1, characterized in that: It specifically includes a data acquisition module, an influenza infection anomaly analysis module, an environmental infection anomaly analysis module, an influenza risk analysis module, an influenza risk release module and a control module, wherein the data acquisition module is used to obtain characteristic data of influenza, and simultaneously obtain environmental change data and data on the degree of gathering of people at the real-time location of the infected population; the influenza infection anomaly analysis module is used to obtain characteristic data of influenza and data on the degree of gathering of people at the real-time location of the infected population and substitute them into an influenza infection anomaly analysis model to perform influenza infection anomaly analysis; the environmental infection anomaly analysis module is used to obtain future environmental change data and import them into an environmental infection anomaly analysis model to perform environmental infection anomaly analysis; and the influenza risk analysis module is used to import influenza infection anomaly analysis results and environmental infection anomaly analysis results into an influenza risk analysis strategy to perform influenza risk analysis.

3. The influenza risk analysis and control system based on data analysis according to claim 2, characterized in that: The influenza risk release module is used to release influenza risks to the disease control department according to the influenza risk analysis results, and the control module is used to control the operation of the data acquisition module, the influenza infection anomaly analysis module, the environmental infection anomaly analysis module, the influenza risk analysis module and the influenza risk release module.

4. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the influenza risk analysis and control method based on data analysis as claimed in claim 1 by calling the computer program stored in the memory.

5. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the influenza risk analysis and control method based on data analysis as claimed in claim 1.

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