Upper respiratory tract infection disease early warning system and method based on environmental factors

Abstract

The invention discloses an upper respiratory tract infection disease early warning system and method based on environmental factors, and belongs to the field of infection disease early warning. Infection cardinal number anomaly analysis is carried out based on the change condition of the number of cases, and infection anomaly analysis is carried out based on an infection expansion anomaly analysis result and an infection cardinal number anomaly analysis result. According to the method, early warning and effective prevention and control of diseases can be realized by establishing an upper respiratory tract infection disease early warning method integrating environmental factors, infection intensive factors and infection cardinal factors, and the system can improve the cognition degree and self-protection awareness of the public for the diseases, so that the system is suitable for popularization and application. Disease morbidity and mortality are reduced, so that public health safety is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the field of infectious disease early warning, and in particular to an upper respiratory tract infectious disease early warning system and method based on environmental factors. Background Art

[0002] Upper respiratory tract infections, such as colds, rhinitis, and laryngitis, are a serious public health problem worldwide. These diseases have relatively mild symptoms in the early stages of the disease and are usually highly contagious, so they are easily ignored. However, by establishing an early warning system for upper respiratory tract infections based on environmental factors, early warning and effective prevention and control of the disease can be achieved, thereby ensuring public health safety. However, when conducting upper respiratory tract infection disease warning, the existing technology usually ignores the joint impact of environmental factors, infection density factors and infection base factors on the transmission process of upper respiratory tract infection diseases, resulting in slow warning of the disease and inability to accurately predict the future development trend of upper respiratory tract infection diseases. Most of the existing technologies have the above problems. In response to the technical problems raised by this background technology, this application designs an upper respiratory tract infection disease warning system and method based on environmental factors. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention proposes an upper respiratory tract infection disease early warning system and method based on environmental factors, performs infection expansion anomaly analysis based on walking path data of people with upper respiratory tract infection and pedestrian and environmental data on the walking path, performs infection base anomaly analysis based on changes in the number of cases, performs infection anomaly analysis based on the infection expansion anomaly analysis results and the infection base anomaly analysis results, and performs infection early warning based on the obtained infection anomaly analysis results. The present invention can achieve early warning and effective prevention and control of the disease by establishing an upper respiratory tract infection disease early warning method that integrates environmental factors, infection intensive factors and infection base factors. The system can improve the public's awareness of the disease and self-protection awareness, reduce the incidence and mortality of the disease, and thus ensure public health safety.

[0004] To achieve the above object, the present invention provides the following technical solutions: In the first aspect, an early warning method for upper respiratory tract infection based on environmental factors is provided, which comprises the following specific steps: Step 1: Obtain walking path data of people with upper respiratory tract infection, pedestrian and environmental data on the walking path, and obtain case changes; Step 2: Conduct infection expansion anomaly analysis based on the walking path data of people with upper respiratory tract infection and the pedestrian and environmental data on the walking path; Step 3: Analyze the abnormality of the infection base based on the changes in the number of cases; Step 4: Conduct infection anomaly analysis based on the infection expansion anomaly analysis results and the infection base anomaly analysis results; Step 5: Issue an infection warning based on the obtained infection anomaly analysis results.

[0005] As an optimal technical solution for the upper respiratory tract infection disease early warning method based on environmental factors, the walking path data of the upper respiratory tract infection population in step one includes the walking path data of the upper respiratory tract infection population at the time of infection, the pedestrian data on the walking path in step one is the crowd density and crowd flow speed data near the walking path of the upper respiratory tract infection population at the time of infection, the environmental data in step one includes environmental type data such as temperature, humidity and air quality that affect the spread of infectious diseases, and the case change data in step one includes statistical case quantity change curve data.

[0006] As a preferred technical solution of the early warning method for upper respiratory tract infection based on environmental factors, the abnormal analysis of infection expansion based on the walking path data of the upper respiratory tract infection population and the pedestrian and environmental data of the walking path includes the following specific steps: S21. Obtain walking path data of people diagnosed with upper respiratory tract infection, and simultaneously obtain crowd density data and crowd flow speed data in the area of ​​the infected people's path, and perform infection risk assessment based on the crowd density data and crowd flow speed data in the area of ​​the infected people's path, wherein the infection risk is proportional to the crowd density data and inversely proportional to the crowd flow speed, and the calculation formula can be: , where N is the current number of infections, L is the walking path length of the i-th infected population, a is the population density ratio, b is the population flow speed ratio, dl is the length integral, Qil is the population density of the i-th infected population with a path length of l, Qm is the standard value of the population density, vm is the standard value of the flow speed, and vil is the flow speed of the i-th infected population with a path length of l; S22, obtaining environmental change data corresponding to the walking path, and obtaining an environmental change impact coefficient based on the environmental change data; S23. The abnormal degree of infection expansion is obtained by multiplying the infection risk and the environmental change impact coefficient.

[0007] It should be noted that in the case of viral transmission of upper respiratory tract infections, the pathogens usually carry the virus in densely populated places. The population density data and population flow speed data of the area will affect the probability of infection. At the same time, changes in the environment will also affect the probability of infection. As a preferred technical solution for the early warning method of upper respiratory tract infection based on environmental factors, the abnormal analysis of the infection base based on the change in the number of cases includes the following specific steps: S31, obtaining statistical case quantity change curve data, obtaining the derivative of the case quantity changing with time in the corresponding time, obtaining the case change speed curve, and simultaneously obtaining the second-order derivative of the case quantity changing with time in the corresponding time, obtaining the case change acceleration curve; S32, obtaining the number of cases at the corresponding time, the rate of change of cases, and the acceleration of the change of cases, and importing them into the calculation formula of the abnormal analysis value of the infectious base to calculate the abnormal analysis value of the infectious base, wherein the calculation formula of the abnormal analysis value of the infectious base is: ,in, is the weight of the number of cases, is the weight of the case change rate, is the weight of the acceleration of case change, Hs is the number of cases at the corresponding moment, Hm is the alarm value of the number of cases, that is, an early warning will be issued when the number of cases exceeds this value, hs is the case change speed at the corresponding moment, hm is the alarm value of the case change speed, ws is the case change acceleration at the corresponding moment, and wm is the case change acceleration alarm value.

[0008] It should be noted here that the number of cases at the corresponding moment, the rate of case change and the acceleration of case change are used to comprehensively analyze the changing trend of cases at the next moment, so as to predict the change of cases at the next moment.

[0009] As a preferred technical solution of the early warning method for upper respiratory tract infection based on environmental factors, the abnormal infection analysis based on the abnormal infection expansion analysis results and the abnormal infection base analysis results includes the following specific steps: S41, obtaining the calculated infection expansion anomaly analysis result and infection base anomaly analysis result, and multiplying the obtained infection expansion anomaly analysis result and infection base anomaly analysis result to obtain the infection anomaly analysis result; S42. Compare the obtained infectious anomaly analysis results with the set corresponding threshold value to obtain the corresponding warning level; wherein the warning level and the measures taken are: If the result of the infection anomaly analysis is greater than or equal to the set corresponding threshold, a level 1 warning is issued. Solution: Public measures: Carry out extensive publicity to remind the public to pay attention to personal protection, reduce unnecessary outings, and try to avoid crowded places; School measures: It is recommended that schools suspend large-scale gatherings and activities and adopt online teaching; Medical measures: Strengthen infection control in medical institutions, ensure sufficient medical resources, and optimize case diagnosis and treatment processes; Vaccination: Accelerate the vaccination process, especially for high-risk groups.

[0010] If the result of the abnormal infection analysis is less than the set corresponding threshold and greater than or equal to 75% of the corresponding threshold, a second-level warning will be issued; Solution measures: Public measures: Encourage the public to wear masks, wash hands frequently, and keep indoor ventilation; School measures: Strengthen school morning inspections and tracking of absenteeism due to illness, and isolate students with symptoms in a timely manner; Medical measures: Strengthen case monitoring, report the epidemic in a timely manner, and ensure that the prevention and control measures of medical institutions are in place; If the result of the abnormal infection analysis is less than 75% of the corresponding threshold and greater than or equal to 50% of the corresponding threshold, a Level 3 warning will be issued; Solution measures: Public measures: The public is advised to enhance their awareness of self-protection, pay attention to climate changes, and add or remove clothes appropriately; School measures: Keep the school environment clean and ventilated, and isolate and treat students with symptoms in a timely manner; Medical measures: Maintain the normal operation of medical institutions and conduct timely screening of suspected cases; If the result of the infectious anomaly analysis is less than 50% of the corresponding threshold, no warning will be issued.

[0011] In the second aspect, an upper respiratory tract infection disease early warning system based on environmental factors is provided, which is implemented based on the above-mentioned upper respiratory tract infection disease early warning method based on environmental factors, and specifically includes an information acquisition module, an infection expansion abnormality analysis module, an infection base abnormality analysis module, an infection abnormality analysis module and an infection early warning module; The information acquisition module is used to obtain the walking path data of people with upper respiratory tract infection and the pedestrian and environmental data of the walking path, and to obtain the case change situation; The infection expansion anomaly analysis module performs infection expansion anomaly analysis based on the walking path data of the upper respiratory tract infection population and the pedestrian and environmental data of the walking path; The infection base abnormality analysis module performs infection base abnormality analysis based on the change in the number of cases; The infectious anomaly analysis module performs infectious anomaly analysis based on the infectious expansion anomaly analysis result and the infectious base anomaly analysis result; The infection warning module is used to provide infection warning according to the obtained infection anomaly analysis results.

[0012] In a third aspect, an electronic device is provided, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned upper respiratory tract infection disease early warning method based on environmental factors by calling the computer program stored in the memory.

[0013] In a fourth aspect, a computer-readable storage medium is provided, storing instructions, which, when executed on a computer, enable the computer to execute the above-mentioned upper respiratory tract infection disease early warning method based on environmental factors.

[0014] Compared with the prior art, the beneficial effects of this application are: The present application performs an abnormal analysis of infection expansion based on the walking path data of people with upper respiratory tract infection and the pedestrian and environmental data on the walking paths, performs an abnormal analysis of infection base based on the changes in the number of cases, performs an abnormal analysis of infection based on the results of the abnormal analysis of infection expansion and the abnormal analysis of infection base, and performs an infection warning based on the obtained results of the abnormal analysis of infection. The present invention can achieve early warning and effective prevention and control of the disease by establishing an early warning method for upper respiratory tract infection disease that integrates environmental factors, infection intensive factors and infection base factors. The system can improve the public's awareness of the disease and self-protection consciousness, reduce the incidence and mortality of the disease, and thus ensure public health safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a schematic diagram of the overall process of the early warning method for upper respiratory tract infection based on environmental factors of the present invention; Figure 2 This is a specific flow chart of step 2 of the upper respiratory tract infection disease early warning method based on environmental factors of the present invention; Figure 3 It is a schematic diagram of the overall framework of the upper respiratory tract infection disease early warning system based on environmental factors of the present invention. DETAILED DESCRIPTION

[0016] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the embodiments of the specification.

[0017] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0018] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0019] Example 1 In order to solve the technical problems raised in the background technology, the present invention provides a preferred embodiment: Figure 1-Figure 2As shown, this embodiment provides an upper respiratory tract infection disease early warning method based on environmental factors, which includes the following specific steps: Step 1: Obtain walking path data of people with upper respiratory tract infection, pedestrian and environmental data on the walking path, and obtain case changes; In one specific embodiment, the walking path data of the upper respiratory tract infection population in step one includes the walking path data of the upper respiratory tract infection population at the time of infection, the pedestrian data of the walking path in step one is the crowd density and crowd flow speed data near the walking path of the upper respiratory tract infection population at the time of infection, the environmental data in step one includes the environmental type data such as temperature, humidity and air quality that affect the spread of infectious diseases, and the case change data in step one includes the statistical case quantity change curve data. In this embodiment, all data types are collected through corresponding collection terminals; Step 2: Conduct infection expansion anomaly analysis based on the walking path data of people with upper respiratory tract infection and the pedestrian and environmental data on the walking path; In one specific embodiment, the abnormal analysis of infection expansion based on the walking path data of people with upper respiratory tract infection and the pedestrian and environmental data of the walking path includes the following specific steps: S21. Obtain walking path data of people diagnosed with upper respiratory tract infection, and simultaneously obtain crowd density data and crowd flow speed data in the area of ​​the infected people's path, and perform infection risk assessment based on the crowd density data and crowd flow speed data in the area of ​​the infected people's path, wherein the infection risk is proportional to the crowd density data and inversely proportional to the crowd flow speed, and the calculation formula can be: , where N is the current number of infections, L is the walking path length of the i-th infected population, a is the population density ratio, b is the population flow speed ratio, dl is the length integral, Qil is the population density of the i-th infected population with a path length of l, Qm is the standard value of the population density, vm is the standard value of the flow speed, and vil is the flow speed of the i-th infected population with a path length of l; S22, obtaining environmental change data corresponding to the walking path, and obtaining an environmental change impact coefficient based on the environmental change data, wherein the environmental change impact coefficient calculation formula is: , where T is the walking time, n is the type of environment that affects virus transmission, cj is the weight of the j-th type of environment that affects virus transmission, xjt is the j-th environmental data that affects virus transmission at time t, xjm is the value of the j-th environmental data that is most conducive to virus transmission, and dt is the time integral. The value of the j-th environmental data that is most conducive to virus transmission is obtained through comparative experiments in the laboratory; S23. The abnormal degree of infection expansion is obtained by multiplying the infection risk and the environmental change impact coefficient. In this embodiment, it should be noted that in the case of viral infection of upper respiratory tract diseases, the pathogen usually carries the virus in densely populated places. The population density data and population flow speed data of the area will affect the probability of infection. At the same time, changes in the environment will also affect the probability of infection. Step 3: Analyze the abnormality of the infection base based on the changes in the number of cases; In this embodiment, obtaining an abnormal analysis of the infection base based on the change in the number of cases includes the following specific steps: S31, obtaining statistical case quantity change curve data, obtaining the derivative of the case quantity changing with time in the corresponding time, obtaining the case change speed curve, and simultaneously obtaining the second-order derivative of the case quantity changing with time in the corresponding time, obtaining the case change acceleration curve; S32, obtaining the number of cases at the corresponding time, the rate of change of cases, and the acceleration of the change of cases, and importing them into the calculation formula of the abnormal analysis value of the infectious base to calculate the abnormal analysis value of the infectious base, wherein the calculation formula of the abnormal analysis value of the infectious base is: ,in, is the weight of the number of cases, is the weight of the case change rate, is the weight of the acceleration of case change, Hs is the number of cases at the corresponding moment, Hm is the alarm value of the number of cases, that is, an early warning is issued when the number of cases exceeds this value, hs is the case change speed at the corresponding moment, hm is the alarm value of the case change speed, ws is the case change acceleration at the corresponding moment, and wm is the alarm value of the case change acceleration; Step 4: Conduct infection anomaly analysis based on the infection expansion anomaly analysis results and the infection base anomaly analysis results; In this embodiment, performing infection anomaly analysis based on infection expansion anomaly analysis results and infection base anomaly analysis results includes the following specific steps: S41, obtaining the calculated infection expansion anomaly analysis result and infection base anomaly analysis result, and multiplying the obtained infection expansion anomaly analysis result and infection base anomaly analysis result to obtain the infection anomaly analysis result; S42. Compare the obtained infectious anomaly analysis results with the set corresponding threshold value to obtain the corresponding warning level; wherein the warning level and the measures taken are: If the result of the infection anomaly analysis is greater than or equal to the set corresponding threshold, a level 1 warning is issued. Solution: Public measures: Carry out extensive publicity to remind the public to pay attention to personal protection, reduce unnecessary outings, and try to avoid crowded places; School measures: It is recommended that schools suspend large-scale gatherings and activities and adopt online teaching; Medical measures: Strengthen infection control in medical institutions, ensure sufficient medical resources, and optimize case diagnosis and treatment processes; Vaccination: Accelerate the vaccination process, especially for high-risk groups.

[0020] If the result of the abnormal infection analysis is less than the set corresponding threshold and greater than or equal to 75% of the corresponding threshold, a second-level warning will be issued; Solution measures: Public measures: Encourage the public to wear masks, wash hands frequently, and keep indoor ventilation; School measures: Strengthen school morning inspections and tracking of absenteeism due to illness, and isolate students with symptoms in a timely manner; Medical measures: Strengthen case monitoring, report the epidemic in a timely manner, and ensure that the prevention and control measures of medical institutions are in place; If the result of the abnormal infection analysis is less than 75% of the corresponding threshold and greater than or equal to 50% of the corresponding threshold, a Level 3 warning will be issued; Solution measures: Public measures: The public is advised to enhance their awareness of self-protection, pay attention to climate changes, and add or remove clothes appropriately; School measures: Keep the school environment clean and ventilated, and isolate and treat students with symptoms in a timely manner; Medical measures: Maintain the normal operation of medical institutions and conduct timely screening of suspected cases; If the result of the infectious anomaly analysis is less than 50% of the corresponding threshold, no warning will be issued; Step 5: Issue an infection warning based on the obtained infection anomaly analysis results.

[0021] What needs to be specifically explained in this embodiment is that the method of taking values ​​of the parameters (such as thresholds and weights) set in this embodiment is: obtaining the walking path data of people with respiratory infections in history and the pedestrian and environmental data of the walking paths, and obtaining the change of cases at the same time, importing them into the steps in this embodiment to obtain the abnormal infection analysis results, and obtaining the judgment result of whether the infection in the next cycle is out of control, and importing the judgment result of whether the infection in the next cycle is out of control and the calculated abnormal infection analysis results into the fitting software (such as MATLAB and Python software), and outputting the values ​​of the set parameters (such as thresholds and weights) that meet the maximum judgment accuracy.

[0022] The advantages of this embodiment over the prior art are as follows: an abnormal analysis of infection expansion is performed based on the walking path data of the upper respiratory tract infection population and the pedestrian and environmental data on the walking path; an abnormal analysis of infection base is performed based on the changes in the number of cases; an abnormal analysis of infection is performed based on the results of the abnormal analysis of infection expansion and the abnormal analysis of infection base; and an infection warning is performed based on the obtained results of the abnormal analysis of infection. The present invention can achieve early warning and effective prevention and control of the disease by establishing an early warning method for upper respiratory tract infection disease that integrates environmental factors, infection intensive factors and infection base factors. The system can improve the public's awareness of the disease and self-protection awareness, reduce the incidence and mortality of the disease, and thus ensure public health safety.

[0023] Example 2 like Figure 3 As shown, this embodiment provides an upper respiratory tract infection disease early warning system based on environmental factors, which is implemented based on the above-mentioned upper respiratory tract infection disease early warning method based on environmental factors, and specifically includes an information acquisition module, an infection expansion abnormality analysis module, an infection base abnormality analysis module, an infection abnormality analysis module and an infection early warning module; Among them, the information acquisition module is used to obtain the walking path data of people with upper respiratory tract infection, as well as the pedestrian and environmental data of the walking path, and the change of cases; The infection expansion anomaly analysis module performs infection expansion anomaly analysis based on the walking path data of people with upper respiratory tract infection and the pedestrian and environmental data on the walking path; The infection base abnormality analysis module performs infection base abnormality analysis based on the changes in the number of cases; The infectious anomaly analysis module performs infectious anomaly analysis based on the infectious expansion anomaly analysis results and the infectious base anomaly analysis results; The infection warning module is used to issue infection warnings based on the obtained infection anomaly analysis results.

[0024] Example 3 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; The processor executes the above-mentioned upper respiratory tract infection disease early warning method based on environmental factors by calling the computer program stored in the memory.

[0025] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors 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 upper respiratory tract infection disease early warning method based on environmental factors 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.

[0026] Example 4 This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon; When the computer program runs on a computer device, the computer device is enabled to execute the above-mentioned upper respiratory tract infection disease early warning method based on environmental factors.

[0027] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0028] At the same time, if the disclosed technical solution involves personal information, the product using the disclosed technical solution has clearly informed the personal information processing rules before processing personal information, and obtained the individual's voluntary consent. If the disclosed technical solution involves sensitive personal information, the product using the disclosed technical solution has obtained the individual's separate consent before processing sensitive personal information, and at the same time meets the "explicit consent" requirement. For example, at personal information collection devices such as cameras, clear and prominent signs are set to inform that the personal information collection scope has been entered and personal information will be collected. If the individual voluntarily enters the collection scope, it is deemed that he or she agrees to collect his or her personal information; or on the device for processing personal information, when the personal information processing rules are notified by obvious signs / information, the individual's authorization is obtained through pop-up information or by asking the individual to upload his or her personal information; among them, the personal information processing rules may include information such as the personal information processor, the purpose of personal information processing, the processing method, and the type of personal information processed.

[0029] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the above examples, those skilled in the art can still modify the technical solutions described in the above embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An early warning method for upper respiratory tract infection based on environmental factors, characterized in that: It includes the following specific steps: Step 1: Obtain walking path data of people with upper respiratory tract infection, pedestrian and environmental data on the walking path, and obtain case changes; Step 2: Conduct infection expansion anomaly analysis based on the walking path data of people with upper respiratory tract infection and the pedestrian and environmental data on the walking path; Step 3: Analyze the abnormality of the infection base based on the changes in the number of cases; Step 4: Conduct infection anomaly analysis based on the infection expansion anomaly analysis results and the infection base anomaly analysis results; Step 5: Issue an infection warning based on the obtained infection anomaly analysis results.

2. The early warning method for upper respiratory tract infection based on environmental factors according to claim 1, characterized in that: The abnormal analysis of infection expansion based on the walking path data of the upper respiratory tract infection population and the pedestrian and environmental data of the walking path includes the following specific steps: S21. Obtain walking path data of people diagnosed with upper respiratory tract infection, and simultaneously obtain crowd density data and crowd flow speed data in the area of ​​the infected people's path, and perform infection risk assessment based on the crowd density data and crowd flow speed data in the area of ​​the infected people's path, wherein the infection risk is proportional to the crowd density data and inversely proportional to the crowd flow speed; S22, obtaining environmental change data corresponding to the walking path, and obtaining an environmental change impact coefficient based on the environmental change data; S23. The abnormal degree of infection expansion is obtained by multiplying the infection risk and the environmental change impact coefficient.

3. The early warning method for upper respiratory tract infection based on environmental factors according to claim 2, characterized in that: The acquisition of abnormal infection base analysis based on the change in the number of cases includes the following specific steps: S31, obtaining statistical case quantity change curve data, obtaining the derivative of the case quantity changing with time in the corresponding time, obtaining the case change speed curve, and simultaneously obtaining the second-order derivative of the case quantity changing with time in the corresponding time, obtaining the case change acceleration curve; S32, obtaining the number of cases at the corresponding time, the rate of change of cases, and the acceleration of the change of cases, and importing them into the calculation formula of the abnormal analysis value of the infectious base to calculate the abnormal analysis value of the infectious base, wherein the calculation formula of the abnormal analysis value of the infectious base is: ,in, is the weight of the number of cases, is the weight of the case change rate, is the weight of the acceleration of case change, Hs is the number of cases at the corresponding moment, Hm is the alarm value of the number of cases, that is, an early warning will be issued when the number of cases exceeds this value, hs is the case change speed at the corresponding moment, hm is the alarm value of the case change speed, ws is the case change acceleration at the corresponding moment, and wm is the case change acceleration alarm value.

4. The early warning method for upper respiratory tract infection based on environmental factors according to claim 3, characterized in that: The infectious anomaly analysis based on the infectious expansion anomaly analysis result and the infectious base anomaly analysis result comprises the following specific steps: S41, obtaining the calculated infection expansion anomaly analysis result and infection base anomaly analysis result, and multiplying the obtained infection expansion anomaly analysis result and infection base anomaly analysis result to obtain the infection anomaly analysis result; S42: Compare the obtained infectious anomaly analysis result with the set corresponding threshold value to obtain the corresponding warning level.

5. The method for early warning of upper respiratory tract infection based on environmental factors according to claim 4, characterized in that: The walking path data of the upper respiratory tract infection population in step one includes the walking path data of the upper respiratory tract infection population at the time of infection; the pedestrian data on the walking path in step one is the crowd density and crowd flow speed data near the walking path of the upper respiratory tract infection population at the time of infection; the environmental data in step one includes environmental type data such as temperature, humidity and air quality that affect the spread of infectious diseases; the case change data in step one includes statistical case quantity change curve data.

6. The method for early warning of upper respiratory tract infection based on environmental factors according to claim 5, characterized in that: The infection risk calculation formula is: , where N is the current number of infections, L is the walking path length of the i-th infected population, a is the population density ratio, b is the population flow speed ratio, dl is the length integral, Qil is the population density of the i-th infected population with a path length of l, Qm is the standard value of the population density, vm is the standard value of the flow speed, and vil is the population flow speed of the i-th infected population with a path length of l.

7. An upper respiratory tract infection disease early warning system based on environmental factors, which is implemented based on the upper respiratory tract infection disease early warning method based on environmental factors as claimed in any one of claims 1 to 6, characterized in that: It specifically includes an information acquisition module, an infection expansion anomaly analysis module, an infection base anomaly analysis module, an infection anomaly analysis module and an infection early warning module; The information acquisition module is used to obtain the walking path data of people with upper respiratory tract infection and the pedestrian and environmental data of the walking path, and to obtain the case change situation; The infection expansion anomaly analysis module performs infection expansion anomaly analysis based on the walking path data of the upper respiratory tract infection population and the pedestrian and environmental data of the walking path; The infection base abnormality analysis module performs infection base abnormality analysis based on the change in the number of cases; The infectious anomaly analysis module performs infectious anomaly analysis based on the infectious expansion anomaly analysis result and the infectious base anomaly analysis result; The infection warning module is used to provide infection warning according to the obtained infection anomaly analysis results.

8. 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 upper respiratory tract infection disease early warning method based on environmental factors as described in any one of claims 1 to 6 by calling the computer program stored in the memory.

9. 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 upper respiratory tract infection disease early warning method based on environmental factors as described in any one of claims 1-6.

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