WebGIS-based infectious disease monitoring system

Abstract

The application discloses a kind of infectious disease monitoring system based on WebGIS in monitoring technical field, including signal connection's monitoring background, distributed field monitoring unit and mobile terminal, monitoring background includes display interface, for showing the login and query of infectious disease monitoring system;Identity verification module, for inputting username and password verification manager identity;Storage module, for storing map information and patient information;Data update module, for adding, modifying and deleting the personal information, health status and activity track of patient;Data query module, for manager to query the personal information, health status and activity track of patient and case change data;Online monitoring module, the geographic position of patient is acquired in real time;Risk analysis module, buffer zone analysis is carried out based on the activity track of patient, to determine whether the adjacent area of activity track exists risk;Measuring module, for measuring the length and area of target area, to determine the range of risk area.

Description

Technical Field

[0001] This invention belongs to the field of monitoring technology, specifically a WebGIS-based infectious disease monitoring system. Background Technology

[0002] Infectious disease surveillance refers to a series of measures taken to track, assess, and predict the prevalence and trends of infectious diseases in specific populations in real time, providing a basis and support for public health emergency response and management. Current methods of infectious disease surveillance are relatively traditional, primarily involving monitoring people seeking medical treatment at hospitals to obtain relevant statistics and information, and then using epidemiological methods to trace and investigate infected patients for targeted monitoring.

[0003] With the rapid development of Internet technology, WebGIS technology has also developed rapidly. WebGIS has many advantages, such as cross-platform use, no need to install software, and the ability to provide service support to other software through network access, real-time data updates, high degree of visualization and interactivity, simple operation, and easy maintenance and management.

[0004] Current monitoring of infectious diseases mainly relies on on-site collection and statistics in hospitals, which usually only detects the disease after it has already spread. Moreover, the scope of statistics is relatively limited, and patients need to be monitored at fixed locations after information is collected. When there are a large number of patients and they are scattered, fixed-location monitoring undoubtedly increases the workload and has low real-time performance. Therefore, we propose an infectious disease monitoring system based on WebGIS. Summary of the Invention

[0005] The purpose of this invention is to provide an infectious disease monitoring system based on WebGIS to solve the problems of existing monitoring technologies, such as increased workload and low real-time performance after patient information collection and fixed-point monitoring.

[0006] To achieve the above objectives, the technical solution of the present invention is as follows: An infectious disease monitoring system based on WebGIS, comprising a monitoring backend with signal connection, distributed field monitoring units, and mobile terminals:

[0007] The on-site monitoring unit includes:

[0008] Camera modules are installed in the lobby of various hospitals to monitor the flow of people and the density of evacuation in the lobby, and to obtain a heat map of the hospital based on the flow of people and the density of evacuation.

[0009] The hospital positioning module is used to locate the position of each hospital, connect to the monitoring backend signal, and calculate the distance from the hospital to the monitoring backend.

[0010] The monitoring backend includes:

[0011] The display interface is used to show the login and query functions of the infectious disease monitoring system.

[0012] The authentication module is used to verify the administrator's identity by entering a username and password;

[0013] The storage module is used to store hospital location information, hospital heat map, map information, and patient information;

[0014] The data update module is used to add, modify, and delete patients' personal information, health status, and activity records;

[0015] The data query module is used by administrators to query patients' personal information, health status, activity trajectory, and case change data;

[0016] The online monitoring module connects to the patient's communication device via satellite technology to obtain the patient's geographical location in real time.

[0017] The risk analysis module performs buffer analysis based on the patient's activity trajectory to determine whether there is risk in the adjacent areas of the activity trajectory;

[0018] The measurement module is used to measure the length and area of ​​the target area to determine the extent of the risk zone;

[0019] Mobile terminals, installed on the patient's communication device in the form of an app, include:

[0020] The personal positioning module is used to locate the patient's real-time location in order to calculate the distance between the patient and the hospital;

[0021] The personal query module allows patients to query the location information and heat map of hospitals in order to select the destination hospital;

[0022] The navigation module, through the hospital positioning module and the personal positioning module, obtains the location of the hospital and the patient, calculates the distance between the patient and the medical facility, and retrieves map information to obtain travel plans and routes.

[0023] Furthermore, the infectious disease monitoring system is designed based on the MapGIS platform.

[0024] Furthermore, the map information in the storage module uses the spatial database and localStorage provided by MapGIS to store and manage spatial and attribute data.

[0025] Furthermore, the map information uses national map data and Tianditu as the base map.

[0026] Furthermore, the data update module allows for the addition, modification, and deletion of patients as follows: clicking the data update module with the mouse adds patient information and generates a dot pen; based on listening for mouse click events, the pen moves to the patient's location range on the map, generates dynamic annotations, and pops up a popup box to add, modify, or delete patient information, thus completing the data update. The updated patient data is then displayed in visual formats such as line charts and pie charts.

[0027] Furthermore, the data query module allows users to query patient information in the following ways: by clicking the data query module and performing a drag-and-drop query, the system can dynamically add annotations to distinguish the retrieved patients; by clicking the attribute search in the data query module and entering the corresponding attribute and its value, the system can display the corresponding patient's information, health status, and activity trajectory when the mouse moves over the annotation point.

[0028] Furthermore, the risk analysis module determines the risk zone by defining the area within 500 meters of the patient's activity trajectory.

[0029] Furthermore, the measurement module determines the scope of the risk area by: tracking the mouse click position, marking points on the map and connecting them, calculating the position of each mark point and forming a closed geometric surface, and calculating the area of ​​the closed geometric surface based on the position of the mark point.

[0030] The principles and beneficial effects of this solution:

[0031] 1. This solution builds a monitoring backend based on the MapGIS platform. By combining the existing map database with patient information, it obtains the patient's activity trajectory and then performs risk zone analysis based on the patient's activity trajectory to determine the risk range. This solution retrieves the map through the web frontend, uses the data query module to query, and then clearly and intuitively displays the patient's activity trajectory and risk zone through the display page, highlighting the spatial attributes, which facilitates timely understanding and monitoring of infection dynamics. It provides more intuitive and scientific spatial decision support for the monitoring of infectious diseases, so as to reduce the spread of infectious diseases and protect public health and safety.

[0032] 2. This solution presents patient data using line charts, pie charts, and other formats, improving data readability and enabling users to understand the trajectory of infectious diseases more intuitively and clearly.

[0033] 3. This solution connects the camera modules of each hospital to the monitoring backend to obtain the hospital's heat map. Patients can access the hospital's heat map and location information through communication devices to select the destination hospital, providing patients with the most convenient travel options and routes to facilitate their arrival at the hospital for treatment as soon as possible. Attached Figure Description

[0034] Figure 1 This is a schematic diagram of the modules of the WebGIS-based infectious disease monitoring system according to an embodiment of the present invention. Detailed Implementation

[0035] The following detailed description illustrates the specific implementation method:

[0036] The basic implementation examples are as follows: Figure 1 As shown: An infectious disease monitoring system based on WebGIS includes a monitoring backend with signal connections, distributed field monitoring units, and mobile terminals.

[0037] The on-site monitoring unit includes:

[0038] Camera modules are installed in the lobby of various hospitals to monitor the flow of people and the density of evacuation in the lobby, and to obtain a heat map of the hospital based on the flow of people and the density of evacuation.

[0039] The hospital positioning module is used to locate the position of each hospital, connect to the monitoring backend signal, and calculate the distance from the hospital to the monitoring backend.

[0040] The monitoring backend includes:

[0041] The display interface is used to show the login and query functions of the infectious disease monitoring system.

[0042] The authentication module is used to verify the administrator's identity by entering a username and password;

[0043] The storage module is used to store hospital location information, hospital heat map, map information, and patient information;

[0044] The data update module is used to add, modify, and delete patients' personal information, health status, and activity records;

[0045] The data query module is used by administrators to query patients' personal information, health status, activity trajectory, and case change data;

[0046] The online monitoring module connects to the patient's communication device via satellite technology to obtain the patient's geographical location in real time.

[0047] The risk analysis module performs buffer analysis based on the patient's activity trajectory to determine whether there is risk in the adjacent areas of the activity trajectory;

[0048] The measurement module is used to measure the length and area of ​​the target area to determine the extent of the risk zone;

[0049] Mobile terminals, installed on the patient's communication device in the form of an app, include:

[0050] The personal positioning module is used to locate the patient's real-time location in order to calculate the distance between the patient and the hospital;

[0051] The personal query module allows patients to query the location information and heat map of hospitals in order to select the destination hospital;

[0052] The navigation module, through the hospital positioning module and the personal positioning module, obtains the location of the hospital and the patient, calculates the distance between the patient and the medical facility, and retrieves map information to obtain travel plans and routes.

[0053] The specific implementation process is as follows:

[0054] First, the camera module of the on-site monitoring unit collects the flow of people and the density of evacuation in the hospital's outpatient hall. Based on the flow of people and the density of evacuation, a heat map of the hospital is obtained. At the same time, the hospital positioning module obtains the location of the hospital and transmits it to the storage module of the monitoring backend for storage. The administrator enters the username and password through the identity verification module and logs in to the platform after successful verification.

[0055] The monitoring backend is connected to the hospital's medical record system to retrieve patient information. When it is necessary to add, modify, or delete data, the administrator clicks the data update module to add patient information and generates a dot pen. Based on listening for mouse click events, the pen moves to the patient's location range on the map, generates a dynamic label, and pops up a popup box to add, modify, or delete patient information, thus completing the data update.

[0056] Then, combining map information, the risk zone is defined within 500 meters of the patient's activity trajectory. On the risk zone map, the mouse click position is tracked, and the points are marked and connected. The position of each marked point is calculated to form a closed geometric surface. The area of ​​the closed geometric surface is calculated based on the position of the marked point, thereby obtaining the range of the risk zone, storing it in the storage module, and sending the patient's health information to the patient's communication device to alert the patient to the risk of infection.

[0057] When an administrator wants to query data, they can click the data query module, perform a drag-and-drop query, add annotations to the retrieved patients to distinguish them, click the attribute search in the data query module, enter the corresponding attribute and attribute value, and when the mouse moves to the annotation point, the corresponding patient's information, health status and activity trajectory will pop up.

[0058] This solution builds a monitoring system based on the MapGIS platform. By combining the existing map database with patient information, it obtains the patient's activity trajectory, and then performs risk zone analysis based on the patient's activity trajectory to determine the risk range. The web front-end retrieves the map, and the data query module is used to query the data. The display page clearly and intuitively displays the patient's activity trajectory and risk zone, highlighting the spatial attributes and providing more intuitive and scientific spatial decision support for the monitoring of infectious diseases, thereby reducing the spread of infectious diseases.

[0059] After receiving a notification from the monitoring backend, the patient activates the personal location module on their communication device to obtain their location and the location information and heat map of nearby hospitals. Based on the flow of people in the hospital lobby shown on the heat map, the patient selects the destination hospital. Then, the navigation module calculates the distance between the patient and the hospital and retrieves map information to provide the patient with the most convenient travel plan and route, so that the patient can reach the hospital for treatment as soon as possible.

[0060] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0061] The above descriptions are merely embodiments of the present invention. Commonly known structures and characteristics are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, under the guidance of this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A WebGIS-based infectious disease monitoring system, characterized in that: Based on the MapGIS platform design, including signal connection monitoring background, distributed field monitoring unit and mobile terminal: The field monitoring unit includes a camera module installed in the hospital waiting hall to monitor the flow and crowd density of the waiting hall, and obtain the heat map of the hospital according to the flow and crowd density; The hospital positioning module is used to locate the position of each hospital, and is connected with the monitoring background to calculate the distance from the hospital to the monitoring background; The monitoring background includes: a display interface for displaying the login and query of the infectious disease monitoring system; An identity verification module is used to input a username and password to verify the identity of the manager; A storage module is used to store map information and patient information; A data update module is used to add, modify and delete personal information, health status and activity trajectory of patients; The data update module for adding, modifying and deleting patients includes: a mouse clicks the data update module, adds patient information to generate a point pen, based on listening to the mouse click event, moves to the patient location range on the map, generates dynamic annotation, pops up a popup box to add, modify or delete patient information, completes data update, and the updated patient data is displayed in the form of a line chart and a pie chart; A data query module is used for the manager to query personal information, health status and activity trajectory of patients and case change data; An online monitoring module is connected with the communication equipment of the patient through satellite technology to obtain the geographic position of the patient in real time; A risk analysis module is based on the activity trajectory of the patient to analyze the buffer zone to determine whether the adjacent area of the activity trajectory is at risk; A measurement module is used to measure the length and area of the target area to determine the range of the risk area; A mobile terminal is installed on the communication equipment of the patient in the form of APP, including: a personal positioning module for positioning the real-time position of the patient to calculate the distance between the patient and the hospital; A personal query module is used for the patient to query the positioning information and heat map of the hospital to select the destination hospital; A navigation module obtains the positions of the hospital and the patient through the hospital positioning module and the personal positioning module, calculates the distance between the patient and the hospital, and retrieves map information to obtain a travel plan and route. 2.The WebGIS-based infectious disease monitoring system according to claim 1, characterized in that: The map information in the storage module uses the spatial database provided by MapGIS to store and manage spatial data and attribute data. 3.The WebGIS-based infectious disease monitoring system according to claim 1, characterized in that: The map information uses national map data and Tianditu as the base map. 4.The WebGIS-based infectious disease monitoring system according to claim 1, characterized in that: The patient information query of the data query module includes: clicking the data query module, executing the pull box query, adding dynamic annotations to distinguish the displayed patients, clicking the attribute search of the data query module, inputting the corresponding attribute and attribute value, and when the mouse moves to the annotation point, the information, health status and activity trajectory of the corresponding patient are popped up. 5.The WebGIS-based infectious disease monitoring system according to claim 1, characterized in that: The risk analysis module for determining the risk area includes: taking the activity trajectory of the patient as the reference, and the 500m range of the trajectory is the risk area. 6.The WebGIS-based infectious disease monitoring system according to claim 1, characterized in that: The measurement module for determining the range of the risk area includes: tracking the mouse click position, marking points on the map and connecting them, calculating the position of each marking point and forming a closed geometric surface, and calculating the area of the closed geometric surface according to the marking point position.

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