A public health resource management system

Abstract

The present application relates to resource management, in particular to a public health resource management system, comprising a control unit, the control unit determines the event factors of a public health event through a factor matrix construction module, constructs a factor matrix, and quantifies the uncertain factors of the factor matrix in a triangular fuzzy number structure using an emergency stage segmentation module to perform emergency stage segmentation, determine the emergency sequence, the control unit determines the first emergency strategy based on the emergency sequence through a first emergency strategy formulation module under the resource planning of the multi-emergency point progressive decision, the technical scheme provided by the present application can effectively overcome the defects of the prior art, such as inaccurate factor quantization, unscientific stage segmentation, poor resource allocation coordination, and poor emergency strategy adaptability.

Description

Technical Field

[0001] This invention relates to resource management, and more specifically to a public health resource management system. Background Technology

[0002] Public health emergencies are characterized by their suddenness, rapid spread, wide impact, and uncertain development, placing extremely high demands on resource reserves, personnel deployment, and regional resource allocation. Current public health resource management methods largely rely on experience-based, manual dispatching, lacking a systematic analysis and quantitative modeling of event-related factors. This makes it difficult to accurately identify the intrinsic influencing factors of public health events, scientifically quantify various uncertainties, and provide data support for emergency phase divisions. Consequently, problems such as chaotic emergency response sequences and a lack of progressive decision-making logic in resource planning are likely to occur.

[0003] Traditional resource management systems struggle to automatically collect basic information about public health emergencies, characteristics of emergency sites, and emergency manpower data. They lack quantitative assessment models for event spread trends, making it impossible to accurately calculate the spread impact index or scientifically delineate the expected spread coverage. Furthermore, existing solutions often separate resource allocation from manpower allocation, failing to coordinate and allocate resources in a comprehensive manner based on coverage areas. This results in low matching and insufficient targeting between resource scheduling and manpower deployment.

[0004] Furthermore, conventional emergency strategy generation mechanisms are simplistic, lacking initial emergency strategies with multi-point progressive planning, and unable to integrate resource and manpower allocation results to form composite emergency strategies, making it difficult to achieve multi-strategy coordinated management. In summary, existing technologies mainly suffer from shortcomings such as inaccurate factor quantification, unscientific stage segmentation, poor resource allocation coordination, and poor adaptability of emergency strategies, failing to meet the practical application needs of intelligent overall resource coordination and precise phased emergency management under complex public health events. Summary of the Invention

[0005] (a) Technical problems to be solved

[0006] In view of the above-mentioned shortcomings of the existing technology, the present invention provides a public health resource management system that can effectively overcome the defects of the existing technology, such as inaccurate factor quantification, unscientific stage segmentation, poor resource allocation coordination, and poor adaptability of emergency strategies.

[0007] (II) Technical Solution

[0008] To achieve the above objectives, the present invention provides the following technical solution:

[0009] A public health resource management system includes a control unit. The control unit determines the event factors of a public health event through a factor matrix construction module, constructs a factor matrix, and uses an emergency stage segmentation module to quantify the uncertain factors of the factor matrix with a triangular fuzzy number structure to perform emergency stage segmentation and determine an emergency sequence. The control unit then performs resource planning under multi-emergency point progressive decision-making based on the emergency sequence through a first emergency strategy formulation module to determine a first emergency strategy.

[0010] The control unit collects basic information about the public health event, characteristic information of each emergency point in the target city, and emergency manpower data of the target city through the information collection module. It then uses the coverage determination module to analyze and determine the diffusion impact index based on the basic information of the public health event, thereby dividing the expected diffusion coverage of the public health event. The control unit uses the resource allocation module to allocate resources based on the characteristic information of each emergency point in the target city and the expected diffusion coverage of the public health event. It also uses the human resource allocation module to allocate manpower based on the emergency manpower data of the target city and the expected diffusion coverage of the public health event. Finally, the control unit uses the second emergency strategy formulation module to determine a second emergency strategy based on the resource allocation and manpower allocation results. Finally, the emergency management module integrates the first and second emergency strategies to conduct resource emergency management for the public health event.

[0011] Preferably, the emergency phase segmentation module quantifies the uncertainties of the factor matrix using a triangular fuzzy number structure, including:

[0012] Traverse the factor matrix to identify uncertain event factors;

[0013] Based on the characteristics of public health events, measure the uncertainty conditions of each uncertain event factor;

[0014] Based on the uncertain conditions, the coefficients of the factor matrix are vectorized to determine the extreme values ​​of the factors, a triangular fuzzy number is constructed, and the factor matrix is ​​replaced.

[0015] Among them, the coefficients of the factor matrix are vector values, with the factor trend as the vector direction, and the extreme values ​​of the factors include maximum and minimum values.

[0016] Preferably, the emergency phase segmentation module performs emergency phase segmentation, including:

[0017] Based on factor matrix matching of pre-emergency resources, determine the scale for emergency phase segmentation;

[0018] Emergency phases are segmented according to the emergency phase segmentation scale, the factor matrix is ​​decoupled to determine the node matrix, and pre-emergency resources are divided to determine the resource allocation ratio.

[0019] Preferably, determining the emergency phase segmentation scale includes:

[0020] The system retrieves emergency response logs, performs primary clustering based on event category, and secondary clustering based on impact level to divide the events into groups.

[0021] Traverse the event groups and determine the criteria for dividing the emergency phase;

[0022] Based on the factor matrix matching of emergency phase segmentation criteria, the emergency phase segmentation scale is determined.

[0023] Preferably, the first emergency strategy formulation module performs resource planning based on the emergency sequence and multi-emergency point progressive decision-making, including:

[0024] Traverse the entire target city area and delineate emergency points based on the pre-emergency resource deployment locations;

[0025] An emergency point topology is constructed based on emergency points, and the emergency point topology is divided into domains based on frequent event points.

[0026] Preferably, the step of dividing the emergency point topology into domains based on frequent event points includes:

[0027] Access the emergency log and filter for frequent events that meet a preset frequency.

[0028] For frequent event points, the emergency point topology is divided into topological domains based on the nearest neighbor allocation of emergency points, and the domain information is identified;

[0029] Set a preset cycle to periodically record public health events and update the domain information.

[0030] Preferably, the first emergency strategy formulation module determines the first emergency strategy, including:

[0031] Based on the domain information, event emergency points are matched in the emergency point topology. For each event emergency point, the first emergency strategy is determined with the single loading volume as a constraint.

[0032] Preferably, the coverage determination module determines the diffusion impact index based on the analysis of basic information about the public health event, and accordingly divides the expected diffusion coverage of the public health event, including:

[0033] S11. Calculate the interval between occurrences based on the time of occurrence of the public health event and the current monitoring time, and obtain the cumulative number of people affected at the current monitoring time.

[0034] S12. Based on the occurrence interval and the cumulative number of audience members, calculate the increase in the number of audience members within a unit occurrence interval.

[0035] S13. Retrieve the target city map, locate the initial location of the public health event, determine the baseline community, extract the number of residents in the baseline community, divide the baseline community into related neighboring communities according to the set area, and count the number of residents in each neighboring community.

[0036] S14. Calculate the basic diffusion impact factor of the public health event by counting the number of people in the baseline community at the current monitoring time point and combining it with the preset basic diffusion impact correction value.

[0037] S15. Based on the nature of the public health event, match the number of warning increases and the number of people associated with the warning at intervals between occurrences of the event.

[0038] S16. Combine the increase in the number of people in the unit occurrence interval, the number of residents in the baseline community, the number of residents in each neighboring community, the basic diffusion impact factor, the number of warning increases and the number of people associated with warnings within the unit occurrence interval, calculate the diffusion impact index of the public health event, and delineate the coverage area of ​​the expected spread of the public health event.

[0039] Preferably, the resource allocation module allocates resources based on the characteristic information of each emergency point in the target city, combined with the expected coverage area of ​​the public health event's spread, including:

[0040] S21. Based on the nature of the public health event, match various basic emergency material resources, and at the same time screen the individual demand of each person for various basic emergency material resources within a unit cycle of days;

[0041] S22. In the target city map, filter all communities within the expected spread range of the public health event and mark them as communities with estimated spread coverage. Combine the set management reference period in days and the number of residents in each community with estimated spread coverage to calculate the material demand of each community with estimated spread coverage for various basic emergency material resources.

[0042] S23. Based on the material storage information of each emergency point in the target city, screen and count the existing reserves of various basic emergency material resources at each emergency point;

[0043] S24. Obtain the geographical location information of each emergency point and each estimated spread coverage community in the target city, and calculate the reference transmission distance from each emergency point to each estimated spread coverage community.

[0044] S25. Based on the demand for materials, existing reserves, and reference transmission distance, calculate the appropriateness index for allocating various basic emergency material resources from each emergency point to each estimated spread coverage community, and complete the allocation of materials within the coverage area.

[0045] Preferably, the human resource allocation module allocates human resources based on the emergency human resource data of the target city and in conjunction with the expected coverage of the public health event's spread, including:

[0046] S31. From the number of emergency personnel in each community of the target city, select the number of existing emergency personnel in each community with the estimated spread coverage.

[0047] S32. Obtain the number of residents in each estimated spread-covered community and match the estimated number of emergency personnel required for each estimated spread-covered community;

[0048] S33. Compare and calculate the number of existing emergency personnel in each estimated spread-covered community with the estimated number of emergency personnel, calculate the emergency personnel readiness index for each estimated spread-covered community, and complete the allocation of manpower within the coverage area.

[0049] (III) Beneficial Effects

[0050] Compared with the prior art, the public health resource management system provided by the present invention has the following beneficial effects:

[0051] 1) Accurately quantify emergency factors to improve the scientific nature of emergency decision-making.

[0052] By constructing a factor matrix to identify the influencing factors of public health events, and using a triangular fuzzy number structure based on the emergency stage segmentation module, the uncertain factors in the factor matrix are quantified. Event clustering is then used to divide emergency stages and determine emergency sequences. Simultaneously, based on emergency point topology segmentation and dynamic updates of frequent event points, resource planning is implemented under multi-emergency point progressive decision-making. This approach breaks through the limitations of traditional emergency decision-making, which relies on experience and is difficult to quantify uncertain factors. It achieves precise segmentation of emergency stages and scientific formulation of emergency strategies, avoids blind decision-making, and improves the accuracy and rationality of public health emergency decision-making.

[0053] 2) Scientifically delineate the coverage area and optimize the efficiency of resource allocation.

[0054] The coverage determination module calculates the spread impact index of public health events through multiple steps to accurately delineate the expected spread coverage area. The material allocation module matches emergency materials with the nature of the event, calculates the material needs of each community covered by the spread, and calculates the allocation suitability index based on the existing reserves of each emergency point and the geographical transmission distance to achieve precise material allocation within the coverage area. Compared with the problems of traditional material allocation lacking targeting, wasting resources, or shortages, this solution achieves precise matching of material needs and emergency reserves, shortens material allocation response time, improves material utilization, and ensures that emergency materials are delivered to key areas in a timely manner.

[0055] 3) Coordinate human resource allocation and strengthen emergency response coordination.

[0056] The human resources allocation module, based on the coverage area, filters the existing number of emergency personnel in each estimated affected community and matches them with the expected number of emergency personnel corresponding to the community's population. By calculating the emergency personnel completeness index, it achieves precise human resource allocation within the coverage area. At the same time, the system integrates the first emergency strategy based on the emergency sequence and the second emergency strategy based on the results of material and human resource allocation, realizing the coordinated linkage of materials and human resources. This integrated allocation method solves the problems of mismatch between traditional human resource supply and actual demand, and the separation of material allocation and human resource allocation. It fills the gap in human resource support, strengthens the collaborative combat capability of emergency resources, and improves the overall effectiveness of emergency management of public health event resources. Attached Figure Description

[0057] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0058] Figure 1 This is a schematic diagram of the system of the present invention;

[0059] Figure 2 This is a schematic diagram illustrating the process of defining the coverage area for the expected spread of a public health event in this invention. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0061] The following describes the specific functional modules of the public health resource management system provided by this invention, using concrete examples (such as...). Figure 1 (As shown) and its technical effects. The system functional modules include: a control unit, which determines the event factors of the public health event through a factor matrix construction module, constructs a factor matrix, and uses an emergency stage segmentation module to quantify the uncertain factors of the factor matrix with a triangular fuzzy number structure to perform emergency stage segmentation and determine the emergency sequence. The control unit then uses a first emergency strategy formulation module to perform resource planning under multi-emergency point progressive decision-making based on the emergency sequence and determines the first emergency strategy.

[0062] I. Emergency Phase Segmentation Module

[0063] The emergency phase segmentation module quantifies the uncertainties in the factor matrix using a triangular fuzzy number structure, including:

[0064] Traverse the factor matrix to identify uncertain event factors;

[0065] Based on the characteristics of public health events, measure the uncertainty conditions of each uncertain event factor;

[0066] Based on the uncertain conditions, the coefficients of the factor matrix are vectorized to determine the extreme values ​​of the factors, a triangular fuzzy number is constructed, and the factor matrix is ​​replaced.

[0067] Among them, the coefficients of the factor matrix are vector values, with the factor trend as the vector direction, and the extreme values ​​of the factors include maximum and minimum values.

[0068] The emergency phase segmentation module performs emergency phase segmentation, including:

[0069] Based on factor matrix matching of pre-emergency resources, determine the scale for emergency phase segmentation;

[0070] Emergency phases are segmented according to the emergency phase segmentation scale, the factor matrix is ​​decoupled to determine the node matrix, and pre-emergency resources are divided to determine the resource allocation ratio.

[0071] Specifically, the criteria for dividing the emergency phase are determined, including:

[0072] The system retrieves emergency response logs, performs primary clustering based on event category, and secondary clustering based on impact level to divide the events into groups.

[0073] Traverse the event groups and determine the criteria for dividing the emergency phase;

[0074] Based on the factor matrix matching of emergency phase segmentation criteria, the emergency phase segmentation scale is determined.

[0075] II. First Emergency Strategy Formulation Module

[0076] The first emergency strategy formulation module, based on the emergency sequence, executes resource planning under a multi-emergency point progressive decision-making process, including:

[0077] Traverse the entire target city area and delineate emergency points based on the pre-emergency resource deployment locations;

[0078] An emergency point topology is constructed based on emergency points, and the emergency point topology is divided into domains based on frequent event points.

[0079] Specifically, the emergency point topology is divided into domains based on frequent event points, including:

[0080] Access the emergency log and filter for frequent events that meet a preset frequency.

[0081] For frequent event points, the emergency point topology is divided into topological domains based on the nearest neighbor allocation of emergency points, and the domain information is identified;

[0082] Set a preset cycle to periodically record public health events and update the domain information.

[0083] The first emergency strategy formulation module determines the first emergency strategy, including:

[0084] Based on the domain information, event emergency points are matched in the emergency point topology. For each event emergency point, the first emergency strategy is determined with the single loading volume as a constraint.

[0085] The above technical solution analyzes the influencing factors of public health events through a factor matrix construction module, quantifies uncertain factors in the factor matrix using a triangular fuzzy number structure based on an emergency stage segmentation module, and divides emergency stages and determines emergency sequences by combining event clustering. Simultaneously, based on emergency point topological domain division and dynamic updates of frequent event points, it executes resource planning under multi-emergency-point progressive decision-making. This approach breaks through the limitations of traditional emergency decision-making, which relies on experience and struggles to quantify uncertain factors. It achieves precise segmentation of emergency stages, scientific formulation of emergency strategies, avoids blind decision-making, and improves the accuracy and rationality of public health emergency decision-making.

[0086] The system's functional modules also include: the control unit collects basic information about the public health event, as well as characteristic information of each emergency point in the target city and emergency manpower data of the target city, through the information collection module; and uses the coverage determination module to analyze and determine the diffusion impact index based on the basic information of the public health event, thereby dividing the expected diffusion coverage of the public health event. The control unit uses the material allocation module to allocate materials based on the characteristic information of each emergency point in the target city and the expected diffusion coverage of the public health event, and uses the human resource allocation module to allocate manpower based on the emergency manpower data of the target city and the expected diffusion coverage of the public health event. The control unit uses the second emergency strategy formulation module to determine the second emergency strategy based on the material allocation results and the manpower allocation results, and uses the emergency management module to integrate the first and second emergency strategies to conduct resource emergency management for the public health event.

[0087] III. Coverage Determination Module

[0088] The coverage determination module analyzes basic information about the public health event to determine a diffusion impact index, and then delineates the expected coverage area of ​​the public health event's spread based on this index. Figure 2 As shown, it includes:

[0089] S11. Calculate the interval between occurrences based on the time of occurrence of the public health event and the current monitoring time, and obtain the cumulative number of people affected at the current monitoring time.

[0090] S12. Based on the occurrence interval and the cumulative number of audience members, calculate the increase in the number of audience members within a unit occurrence interval.

[0091] S13. Retrieve the target city map, locate the initial location of the public health event, determine the baseline community, extract the number of residents in the baseline community, divide the baseline community into related neighboring communities according to the set area, and count the number of residents in each neighboring community.

[0092] S14. Calculate the basic diffusion impact factor of the public health event by counting the number of people in the baseline community at the current monitoring time point and combining it with the preset basic diffusion impact correction value.

[0093] S15. Based on the nature of the public health event, match the number of warning increases and the number of people associated with the warning at intervals between occurrences of the event.

[0094] S16. Combine the increase in the number of people in the unit occurrence interval, the number of residents in the baseline community, the number of residents in each neighboring community, the basic diffusion impact factor, the number of warning increases and the number of people associated with warnings within the unit occurrence interval, calculate the diffusion impact index of the public health event, and delineate the coverage area of ​​the expected spread of the public health event.

[0095] IV. Material Allocation Module

[0096] The resource allocation module allocates resources based on the characteristics of each emergency point in the target city and the expected coverage of the public health event's spread, including:

[0097] S21. Based on the nature of the public health event, match various basic emergency material resources, and at the same time screen the individual demand of each person for various basic emergency material resources within a unit cycle of days;

[0098] S22. In the target city map, filter all communities within the expected spread range of the public health event and mark them as communities with estimated spread coverage. Combine the set management reference period in days and the number of residents in each community with estimated spread coverage to calculate the material demand of each community with estimated spread coverage for various basic emergency material resources.

[0099] S23. Based on the material storage information of each emergency point in the target city, screen and count the existing reserves of various basic emergency material resources at each emergency point;

[0100] S24. Obtain the geographical location information of each emergency point and each estimated spread coverage community in the target city, and calculate the reference transmission distance from each emergency point to each estimated spread coverage community.

[0101] S25. Based on the demand for materials, existing reserves, and reference transmission distance, calculate the appropriateness index for allocating various basic emergency material resources from each emergency point to each estimated spread coverage community, and complete the allocation of materials within the coverage area.

[0102] The aforementioned technical solution employs a coverage determination module that uses multi-step quantitative calculations to determine the spread impact index of public health events, accurately delineating the expected spread coverage area. The resource allocation module matches emergency supplies based on the nature of the event, calculates the resource needs of each affected community, and, combined with existing reserves at each emergency point and geographical transmission distance, calculates an allocation suitability index to achieve precise resource allocation within the coverage area. Compared to traditional resource allocation methods that lack specificity, lead to resource waste or shortages, this solution achieves precise matching between resource demand and emergency reserves, shortens resource allocation response time, improves resource utilization, and ensures timely delivery of emergency supplies to key areas.

[0103] V. Human Resources Allocation Module

[0104] The human resources allocation module allocates manpower based on emergency manpower data of the target city and the expected coverage of the public health event's spread, including:

[0105] S31. From the number of emergency personnel in each community of the target city, select the number of existing emergency personnel in each community with the estimated spread coverage.

[0106] S32. Obtain the number of residents in each estimated spread-covered community and match the estimated number of emergency personnel required for each estimated spread-covered community;

[0107] S33. Compare and calculate the number of existing emergency personnel in each estimated spread-covered community with the estimated number of emergency personnel, calculate the emergency personnel readiness index for each estimated spread-covered community, and complete the allocation of manpower within the coverage area.

[0108] The aforementioned technical solution utilizes a human resource allocation module that, based on coverage area, filters the existing number of emergency personnel in each estimated affected community and matches it with the projected number of emergency personnel corresponding to the community's population. By calculating the emergency personnel readiness index, it achieves precise human resource allocation within the coverage area. Simultaneously, the system integrates a first emergency strategy based on the emergency sequence and a second emergency strategy based on the results of resource and human resource allocation, enabling coordinated action between resources and human resources. This integrated allocation approach addresses issues such as the mismatch between traditional human resource supply and actual demand, and the separation between resource and human resource allocation. It fills gaps in human resource support, strengthens the collaborative operational capabilities of emergency resources, and improves the overall effectiveness of emergency management of public health events.

[0109] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A public health resource management system, characterized in that: The system includes a control unit. The control unit determines the event factors of the public health event through a factor matrix construction module, constructs a factor matrix, and uses an emergency phase segmentation module to quantify the uncertain factors of the factor matrix with a triangular fuzzy number structure to perform emergency phase segmentation and determine the emergency sequence. The control unit then uses a first emergency strategy formulation module to perform resource planning under multi-emergency point progressive decision-making based on the emergency sequence and determines the first emergency strategy. The control unit collects basic information about the public health event, characteristic information of each emergency point in the target city, and emergency manpower data of the target city through the information collection module. It then uses the coverage determination module to analyze and determine the diffusion impact index based on the basic information of the public health event, thereby dividing the expected diffusion coverage of the public health event. The control unit uses the resource allocation module to allocate resources based on the characteristic information of each emergency point in the target city and the expected diffusion coverage of the public health event. It also uses the human resource allocation module to allocate manpower based on the emergency manpower data of the target city and the expected diffusion coverage of the public health event. Finally, the control unit uses the second emergency strategy formulation module to determine a second emergency strategy based on the resource allocation and manpower allocation results. Finally, the emergency management module integrates the first and second emergency strategies to conduct resource emergency management for the public health event.

2. The public health resource management system according to claim 1, characterized in that: The emergency phase segmentation module quantifies the uncertainties in the factor matrix using a triangular fuzzy number structure, including: Traverse the factor matrix to identify uncertain event factors; Based on the characteristics of public health events, measure the uncertainty conditions of each uncertain event factor; Based on the uncertain conditions, the coefficients of the factor matrix are vectorized to determine the extreme values ​​of the factors, a triangular fuzzy number is constructed, and the factor matrix is ​​replaced. Among them, the coefficients of the factor matrix are vector values, with the factor trend as the vector direction, and the extreme values ​​of the factors include maximum and minimum values.

3. The public health resource management system according to claim 2, characterized in that: The emergency phase segmentation module performs emergency phase segmentation, including: Based on factor matrix matching of pre-emergency resources, determine the scale for emergency phase segmentation; Emergency phases are segmented according to the emergency phase segmentation scale, the factor matrix is ​​decoupled to determine the node matrix, and pre-emergency resources are divided to determine the resource allocation ratio.

4. The public health resource management system according to claim 3, characterized in that: The determination of the emergency phase segmentation scale includes: The system retrieves emergency response logs, performs primary clustering based on event category, and secondary clustering based on impact level to divide the events into groups. Traverse the event groups and determine the criteria for dividing the emergency phase; Based on the factor matrix matching of emergency phase segmentation criteria, the emergency phase segmentation scale is determined.

5. The public health resource management system according to claim 3, characterized in that: The first emergency strategy formulation module performs resource planning based on the emergency sequence and multi-emergency point progressive decision-making, including: Traverse the entire target city area and delineate emergency points based on the pre-emergency resource deployment locations; An emergency point topology is constructed based on emergency points, and the emergency point topology is divided into domains based on frequent event points.

6. The public health resource management system according to claim 5, characterized in that: The process of dividing and identifying the emergency point topology based on frequent event points includes: Access the emergency log and filter for frequent events that meet a preset frequency. For frequent event points, the emergency point topology is divided into topological domains based on the nearest neighbor allocation of emergency points, and the domain information is identified; Set a preset cycle to periodically record public health events and update the domain information.

7. The public health resource management system according to claim 5, characterized in that: The first emergency strategy formulation module determines the first emergency strategy, including: Based on the domain information, event emergency points are matched in the emergency point topology. For each event emergency point, the first emergency strategy is determined with the single loading volume as a constraint.

8. The public health resource management system according to claim 1, characterized in that: The coverage determination module determines the spread impact index based on the analysis of basic information about the public health event, and accordingly divides the expected spread coverage area of ​​the public health event, including: S11. Calculate the interval between occurrences based on the time of occurrence of the public health event and the current monitoring time, and obtain the cumulative number of people affected at the current monitoring time. S12. Based on the occurrence interval and the cumulative number of audience members, calculate the increase in the number of audience members within a unit occurrence interval. S13. Retrieve the target city map, locate the initial location of the public health event, determine the baseline community, extract the number of residents in the baseline community, divide the baseline community into related neighboring communities according to the set area, and count the number of residents in each neighboring community. S14. Calculate the basic diffusion impact factor of the public health event by counting the number of people in the baseline community at the current monitoring time point and combining it with the preset basic diffusion impact correction value. S15. Based on the nature of the public health event, match the number of warning increases and the number of people associated with the warning at intervals between occurrences of the event. S16. Combine the increase in the number of people in the unit occurrence interval, the number of residents in the baseline community, the number of residents in each neighboring community, the basic diffusion impact factor, the number of warning increases and the number of people associated with warnings within the unit occurrence interval, calculate the diffusion impact index of the public health event, and delineate the coverage area of ​​the expected spread of the public health event.

9. The public health resource management system according to claim 8, characterized in that: The resource allocation module allocates resources based on the characteristic information of each emergency point in the target city and the expected coverage area of ​​the public health event, including: S21. Based on the nature of the public health event, match various basic emergency material resources, and at the same time screen the individual demand of each person for various basic emergency material resources within a unit cycle of days; S22. In the target city map, filter all communities within the expected spread range of the public health event and mark them as communities with estimated spread coverage. Combine the set management reference period in days and the number of residents in each community with estimated spread coverage to calculate the material demand of each community with estimated spread coverage for various basic emergency material resources. S23. Based on the material storage information of each emergency point in the target city, screen and count the existing reserves of various basic emergency material resources at each emergency point; S24. Obtain the geographical location information of each emergency point and each estimated spread coverage community in the target city, and calculate the reference transmission distance from each emergency point to each estimated spread coverage community. S25. Based on the demand for materials, existing reserves, and reference transmission distance, calculate the appropriateness index for allocating various basic emergency material resources from each emergency point to each estimated spread coverage community, and complete the allocation of materials within the coverage area.

10. The public health resource management system according to claim 9, characterized in that: The human resource allocation module allocates manpower based on the emergency manpower data of the target city and the expected coverage of the public health event's spread, including: S31. From the number of emergency personnel in each community of the target city, select the number of existing emergency personnel in each community with the estimated spread coverage. S32. Obtain the number of residents in each estimated spread-covered community and match the estimated number of emergency personnel required for each estimated spread-covered community; S33. Compare and calculate the number of existing emergency personnel in each estimated spread-covered community with the estimated number of emergency personnel, calculate the emergency personnel readiness index for each estimated spread-covered community, and complete the allocation of manpower within the coverage area.

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