CN111653367A - A respiratory infectious disease monitoring system and method based on cough symptoms - Google Patents
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Abstract
Translated fromChinese
Description
Translated fromChinese技术领域technical field
本发明涉及一种呼吸道传染病监测系统及方法，尤其是涉及一种基于咳嗽症状的呼吸道传染病监测系统及方法。The present invention relates to a respiratory infectious disease monitoring system and method, in particular to a respiratory infectious disease monitoring system and method based on cough symptoms.
背景技术Background technique
呼吸道传染疾病是指患者咽喉、气管及支气管等收到侵入性感染后造成一系列具有传染性的呼吸道疾病。此类疾病大多可经由空气传播，传染性强，扩散速度极快，因此早期的发现和控制意义重大。咳嗽是一种呼吸系统疾病常见的症状，也是呼吸道传染疾病主要症状之一，呼吸道传染病患者在新患之时，往往表现为咳嗽次数的急剧增长，因而咳嗽症状监测已成为呼吸道传染病，特别是新发呼吸道传染病爆发的主要监测手段之一。Respiratory infectious diseases refer to a series of infectious respiratory diseases caused by invasive infection of the throat, trachea and bronchi of patients. Most of these diseases can be transmitted through the air, are highly contagious and spread very fast, so early detection and control are of great significance. Cough is a common symptom of respiratory diseases and one of the main symptoms of respiratory infectious diseases. Patients with respiratory infectious diseases often show a sharp increase in the number of coughs when they are newly infected. Therefore, cough symptom monitoring has become a respiratory infectious disease, especially It is one of the main monitoring methods for the outbreak of emerging respiratory infectious diseases.
咳嗽是由气管、支气管黏膜或肺泡受异物、感染、组织病变等刺激而引起，其运动特征是：先吸一口气，随之声门关闭，同时软腭上举使鼻咽腔完全关闭，然后胸腹部呼吸肌收缩，肺内压力增高，达到一定程度时，声门突然开放，一股强有力的气流迅速通过已经变窄的气道，冲击声门，发出咳嗽声。咳嗽和人体正常情况下产生的声音在能量、频率等声音指标上具有显著的差异，因而具有可识别性，目前声音识别技术已实现了在自然环境中对咳嗽声音和普通声音的有效区分，相应产品也被设计出来，但大部分产品昂贵且不便携带，难以满足对咳嗽实时的监控需要。要通过咳嗽症状来监测呼吸道传染病爆发，必须满足以下条件：能实现个体咳嗽全天候实时准确监测；能即时汇总统计在特定区域人群个体异常信息；能找到判断参照标准以确定所获即时数据是否异常。Cough is caused by the stimulation of the trachea, bronchial mucosa or alveoli by foreign bodies, infection, tissue lesions, etc. Its movement characteristics are: first inhale, then the glottis is closed, and the soft palate is raised to completely close the nasopharyngeal cavity, and then the chest is closed. The abdominal respiratory muscles contract, and the pressure in the lungs increases. When the pressure reaches a certain level, the glottis suddenly opens, and a strong airflow quickly passes through the narrowed airway, hitting the glottis and making a coughing sound. Cough and the sound produced by the human body under normal conditions have significant differences in sound indicators such as energy and frequency, so they are recognizable. At present, sound recognition technology has realized the effective distinction between cough sounds and ordinary sounds in the natural environment. Products have also been designed, but most of them are expensive and inconvenient to carry, making it difficult to meet the needs of real-time monitoring of coughs. To monitor the outbreak of respiratory infectious diseases through cough symptoms, the following conditions must be met: real-time and accurate monitoring of individual cough can be achieved around the clock; the abnormal information of individuals in a specific area can be aggregated and counted in real time; the judgment reference standard can be found to determine whether the obtained real-time data is abnormal or not .
已有研究在个体层面实现咳嗽全天候实时准确监测做了有益探索，有文献阐述了通过智能手机来实现咳嗽的识别和监控，但该文献阐述的方法聚焦于个体的疾病诊断与监测，并且其负载的技术还没有实现声音个性化的分析和识别，这就无法在多人咳嗽出现的情况下对特定用户的咳嗽的甄别，从而限制了该技术在人群传染病监测领域的进一步应用。Existing studies have made useful explorations in realizing real-time and accurate monitoring of cough at the individual level. Some literatures describe the identification and monitoring of cough through smartphones, but the method described in this literature focuses on individual disease diagnosis and monitoring, and its load The technology has not yet realized the analysis and recognition of sound personalization, which makes it impossible to identify the cough of a specific user in the case of multiple coughs, thus limiting the further application of this technology in the field of crowd infectious disease monitoring.
发明内容SUMMARY OF THE INVENTION
本发明的目的就是为了克服上述现有技术存在的缺陷而提供一种基于咳嗽症状的呼吸道传染病监测系统及方法。The purpose of the present invention is to provide a respiratory infectious disease monitoring system and method based on cough symptoms in order to overcome the above-mentioned defects of the prior art.
本发明的目的可以通过以下技术方案来实现：The object of the present invention can be realized through the following technical solutions:
一种基于咳嗽症状的呼吸道传染病监测系统，该系统包括：A cough symptom-based surveillance system for respiratory infectious diseases comprising:
咳嗽探测与异常分析模块：基于用户终端设备定向识别用户咳嗽症状，并判断是否异常，异常时将用户探测异常信息上传；Cough detection and abnormal analysis module: based on the user terminal device orientation to identify the user's cough symptoms, and determine whether it is abnormal, and upload the user detection abnormal information when it is abnormal;
区域内用户追踪与实时统计模块：建立区域内实时用户数据库，包括区域内用户终端数量信息、地理位置信息和用户背景信息；In-region user tracking and real-time statistics module: establish a real-time user database in the region, including information on the number of user terminals in the region, geographic location information and user background information;
咳嗽用户信息筛检与整理模块：接收用户探测异常信息和实时用户数据库，形成异常用户数据库；Cough user information screening and sorting module: receive abnormal user detection information and real-time user database to form an abnormal user database;
汇总预警模块：接收异常用户数据库和实时用户数据库，计算并存储咳嗽发病率曲线，根据咳嗽发病率曲线对传染病进行预警。Summary early warning module: Receive abnormal user database and real-time user database, calculate and store the cough incidence curve, and give early warning of infectious diseases according to the cough incidence curve.
所述的咳嗽探测与异常分析模块包括：The cough detection and abnormal analysis module includes:
声音采集传感器：采集声音信号；Sound collection sensor: collect sound signal;
咳嗽识别模型：预先存储于用户终端设备，该模型根据采集的声音信号判断是否为用户本人发出的咳嗽声，若是则输出咳嗽发生；Cough recognition model: pre-stored in the user terminal device, the model judges whether it is the cough sound made by the user himself according to the collected sound signal, and if so, outputs the cough occurrence;
异常统计单元：该单元统计实时咳嗽频次，当实时咳嗽频次超出设定阈值则标记为异常，产生用户探测异常信息，所述的用户探测异常信息包括用户标记信息和实时咳嗽频次。Abnormality statistics unit: This unit counts the real-time coughing frequency. When the real-time coughing frequency exceeds the set threshold, it is marked as abnormal, and user detection abnormality information is generated. The user detection abnormality information includes user marking information and real-time coughing frequency.
所述的区域内用户追踪与实时统计模块包括：The in-region user tracking and real-time statistics module includes:
定位单元：集成于用户终端设备，用于采集用户地理位置信息；Positioning unit: integrated in user terminal equipment, used to collect user geographic location information;
追踪统计单元：追踪用户终端设备，以分钟为单位获取区域内实时用户终端数量信息和地理位置信息，根据追踪到的用户终端设备对应的用户标记信息匹配获取用户背景信息，所述的用户背景信息包括用户个人信息。Tracking statistics unit: track user terminal equipment, obtain real-time user terminal quantity information and geographic location information in the area in minutes, and obtain user background information according to the user tag information corresponding to the tracked user terminal equipment. Include user personal information.
所述的用户终端设备包括智能手机，进而，所述的用户标记信息为智能手机的手机号。The user terminal equipment includes a smart phone, and further, the user marking information is the mobile phone number of the smart phone.
所述的定位单元包括北斗定位单元。The positioning unit includes a Beidou positioning unit.
所述的咳嗽用户信息筛检与整理模块包括：The cough user information screening and sorting module includes:
异常用户匹配提取单元：该单元提取用户探测异常信息中的用户标记信息，根据用户标记信息从实时用户数据库匹配提取用户的地理位置信息和用户背景信息，将用户探测异常信息、地理位置信息和用户背景信息汇总为异常用户数据信息，所有异常用户的异常用户数据信息构成所述的异常用户数据库；Abnormal user matching extraction unit: This unit extracts the user tag information in the user detection abnormal information, extracts the user's geographic location information and user background information from the real-time user database according to the user tag information, and extracts the user detection abnormal information, geographic location information and user background information. The background information is aggregated into abnormal user data information, and the abnormal user data information of all abnormal users constitutes the abnormal user database;
查询单元：连接异常用户数据库，该单元提供查询读取接口，用于读取异常用户数据库中的异常用户数据信息。Query unit: connect to the abnormal user database, this unit provides a query reading interface for reading abnormal user data information in the abnormal user database.
所述的汇总预警模块包括：The summary early warning module includes:
咳嗽发病率曲线构建单元：构建多维度咳嗽发病率曲线；Cough incidence curve construction unit: constructs a multi-dimensional cough incidence curve;
预警单元：比对多维度咳嗽发病率曲线产生传染病预警信息并实时预警。Early warning unit: Compare multi-dimensional cough incidence curves to generate infectious disease early warning information and provide real-time early warning.
所述的多维度咳嗽发病率曲线包括每日发病率曲线、近7日平均发病率曲线和年度平均发病率曲线，The multi-dimensional cough incidence rate curve includes a daily incidence rate curve, an average incidence rate curve in the past 7 days, and an annual average incidence rate curve.
所述的每日发病率曲线通过如下方式获得：根据异常用户数据库确定每分钟咳嗽异常用户数，同时根据实时用户数据库对应获取区域同时段用户总数，利用每分钟咳嗽异常用户数除以区域同时段用户总数求取每分钟咳嗽发病率，根据每分钟咳嗽发病率绘制每日发病率曲线；The daily morbidity curve is obtained by: determining the number of users with abnormal cough per minute according to the abnormal user database; at the same time, according to the real-time user database correspondingly obtaining the total number of users in the same period in the region, and dividing the number of users with abnormal cough per minute by the same period in the region Calculate the incidence of cough per minute from the total number of users, and draw the daily incidence curve according to the incidence of cough per minute;
进而，根据历史每日发病率曲线构建近7日平均发病率曲线和年度平均发病率曲线。Furthermore, according to the historical daily incidence rate curve, the average incidence rate curve for the past 7 days and the annual average incidence rate curve were constructed.
所述的预警单元将当日发病率曲线与前1日发病率曲线、近7日平均发病率曲线和年度平均发病率曲线进行比较，若当日发病率发生突增时产生传染病预警信息并实时预警。The early warning unit compares the incidence rate curve of the current day with the incidence rate curve of the previous day, the average incidence rate curve of the past 7 days, and the average incidence rate curve of the year, and generates early warning information of infectious diseases and real-time early warning if the incidence rate of the day suddenly increases. .
一种基于咳嗽症状的呼吸道传染病监测方法，该方法基于上述系统，所述的方法包括如下步骤：A respiratory infectious disease monitoring method based on cough symptoms, the method is based on the above system, and the method comprises the following steps:
步骤S1：识别用户咳嗽症状，判断是否异常，异常时将用户探测异常信息上传；Step S1: Identify the cough symptoms of the user, determine whether it is abnormal, and upload the abnormal detection information of the user when abnormal;
步骤S2：获取区域内实时用户数据，构建实时用户数据库，包括区域内用户终端数量信息、地理位置信息和用户背景信息，所述的用户背景信息包括用户个人信息；Step S2: acquiring real-time user data in the area, and constructing a real-time user database, including information on the number of user terminals in the area, geographic location information, and user background information, where the user background information includes user personal information;
步骤S3：根据用户探测异常信息和实时用户数据库进行整理筛选，形成异常用户数据库，所述的异常用户数据库包括所有异常用户的异常用户数据信息，所述的异常用户数据信息包括用户探测异常信息、地理位置信息和用户背景信息；Step S3: sorting and screening according to the abnormal user detection information and the real-time user database to form an abnormal user database, the abnormal user database includes abnormal user data information of all abnormal users, and the abnormal user data information includes user detection abnormal information, Geolocation information and user background information;
步骤S4：根据异常用户数据库确定每分钟咳嗽异常用户数，同时根据实时用户数据库对应获取区域同时段用户总数，利用每分钟咳嗽异常用户数除以区域同时段用户总数求取每分钟咳嗽发病率，根据每分钟咳嗽发病率绘制每日发病率曲线；Step S4: Determine the number of users with abnormal cough per minute according to the abnormal user database, and obtain the total number of users in the same period in the region correspondingly according to the real-time user database, and calculate the incidence of cough per minute by dividing the number of users with abnormal cough per minute by the total number of users in the same period in the region. Draw daily incidence curves based on the incidence of cough per minute;
步骤S5：根据历史每日发病率曲线构建近7日平均发病率曲线和年度平均发病率曲线；Step S5: construct the average incidence rate curve for the past 7 days and the annual average incidence rate curve according to the historical daily incidence rate curve;
步骤S6：将当日发病率曲线与前1日发病率曲线、近7日平均发病率曲线和年度平均发病率曲线进行比较，若当日发病率发生突增时产生传染病预警信息并实时预警。Step S6: Compare the incidence rate curve of the current day with the incidence rate curve of the previous day, the average incidence rate curve of the past 7 days, and the annual average incidence rate curve, and generate early warning information of infectious diseases and real-time early warning if the incidence rate of the current day suddenly increases.
与现有技术相比，本发明具有如下优点：Compared with the prior art, the present invention has the following advantages:
(1)本发明将咳嗽症状的识别技术内置于用户终端设备(如智能手机)，费用经济，使用便捷，隐秘客观，能对个体进行全天候全时段的咳嗽数据监测，实现个体数据的精准收集，同时也大大提高疾病监测人群的覆盖率，为后续分析提供科学数据；(1) The present invention incorporates the identification technology of cough symptoms into user terminal equipment (such as smart phones), which is economical in cost, convenient to use, secretive and objective, and can perform all-weather and full-time cough data monitoring on individuals, so as to realize accurate collection of individual data. At the same time, it also greatly improves the coverage of disease surveillance populations and provides scientific data for subsequent analysis;
(2)本发明咳嗽识别模型在多人咳嗽出现的情况下实现对特定用户咳嗽的甄别，从而传染病监测的准确性；(2) The cough recognition model of the present invention realizes the identification of a specific user's cough when multiple people cough, thereby the accuracy of infectious disease monitoring;
(3)本发明可实现对以咳嗽主要症状的呼吸道传染病发病数据进行即时分析，尽早发现传染病爆发苗头，全面描述特定区域的传染病爆发状态，及时反馈结果给相关部门，实现对传染病的及早干预；(3) The present invention can realize real-time analysis of the incidence data of respiratory infectious diseases with the main symptoms of cough, find signs of infectious disease outbreaks as soon as possible, comprehensively describe the outbreak status of infectious diseases in specific areas, and timely feedback the results to relevant departments, so as to realize the prevention and control of infectious diseases. early intervention;
(4)本发明可以在必要时对传染病疑似患者进行位置锁定和路径追踪，从而更好地防控传染病。(4) The present invention can perform location locking and path tracking for suspected patients of infectious diseases when necessary, so as to better prevent and control infectious diseases.
(5)本发明可建立区域传染病发病率数据库，为相关研究打下基础。(5) The present invention can establish a regional infectious disease incidence database to lay a foundation for related research.
附图说明Description of drawings
图1为本发明基于咳嗽症状的呼吸道传染病监测系统的结构框图；Fig. 1 is the structural block diagram of the respiratory infectious disease monitoring system based on cough symptoms of the present invention;
图2为本发明基于咳嗽症状的呼吸道传染病监测方法的流程图。Fig. 2 is a flow chart of the respiratory infectious disease monitoring method based on cough symptoms of the present invention.
图中，1为咳嗽探测与异常分析模块，2为区域内用户追踪与实时统计模块，3为咳嗽用户信息筛检与整理模块，4为汇总预警模块，11为声音采集传感器，12为咳嗽识别模型，13为异常统计单元，21为定位单元，22为追踪统计单元，31为异常用户匹配提取单元，32为查询单元，41为咳嗽发病率曲线构建单元，42为预警单元。In the figure, 1 is the cough detection and abnormal analysis module, 2 is the user tracking and real-time statistics module in the area, 3 is the cough user information screening and sorting module, 4 is the summary warning module, 11 is the sound acquisition sensor, and 12 is the cough recognition module. In the model, 13 is an abnormal statistics unit, 21 is a positioning unit, 22 is a tracking statistics unit, 31 is an abnormal user matching extraction unit, 32 is a query unit, 41 is a cough incidence curve construction unit, and 42 is an early warning unit.
具体实施方式Detailed ways
下面结合附图和具体实施例对本发明进行详细说明。注意，以下的实施方式的说明只是实质上的例示，本发明并不意在对其适用物或其用途进行限定，且本发明并不限定于以下的实施方式。The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. Note that the description of the following embodiments is merely an illustration in essence, and the present invention is not intended to limit its application or use, and the present invention is not limited to the following embodiments.
实施例Example
如图1所示，一种基于咳嗽症状的呼吸道传染病监测系统，该系统包括：As shown in Figure 1, a respiratory infectious disease surveillance system based on cough symptoms, the system includes:
咳嗽探测与异常分析模块1：基于用户终端设备定向识别用户咳嗽症状，并判断是否异常，异常时将用户探测异常信息上传；Cough detection and abnormality analysis module 1: Based on the user terminal device orientation, identify the user's cough symptoms, and determine whether it is abnormal, and upload the user detection abnormality information when abnormal;
区域内用户追踪与实时统计模块2：建立区域内实时用户数据库，包括区域内用户终端数量信息、地理位置信息和用户背景信息；In-region user tracking and real-time statistics module 2: Establish an in-region real-time user database, including information on the number of user terminals in the region, geographic location information and user background information;
咳嗽用户信息筛检与整理模块3：接收用户探测异常信息和实时用户数据库，形成异常用户数据库；Cough user information screening and sorting module 3: Receive abnormal user detection information and real-time user database to form an abnormal user database;
汇总预警模块4：接收异常用户数据库和实时用户数据库，计算并存储咳嗽发病率曲线，根据咳嗽发病率曲线对传染病进行预警。Summary early warning module 4: Receive abnormal user database and real-time user database, calculate and store the cough incidence curve, and give early warning to infectious diseases according to the cough incidence curve.
具体地：咳嗽探测与异常分析模块1包括：Specifically: the cough detection and
声音采集传感器11：采集声音信号；Sound collection sensor 11: collects sound signals;
咳嗽识别模型12：预先存储于用户终端设备，该模型根据采集的声音信号判断是否为用户本人发出的咳嗽声，若是则输出咳嗽发生；Cough recognition model 12: pre-stored in the user terminal device, the model judges whether it is the cough sound made by the user himself according to the collected sound signal, and if so, outputs the cough occurrence;
异常统计单元13：该单元统计实时咳嗽频次，当实时咳嗽频次超出设定阈值则标记为异常，产生用户探测异常信息，用户探测异常信息包括用户标记信息和实时咳嗽频次，本实施例若每分钟咳嗽次数超过3次视为异常。Abnormality statistics unit 13: This unit counts the real-time coughing frequency. When the real-time coughing frequency exceeds the set threshold, it is marked as abnormal and generates user detection abnormality information. The user detection abnormality information includes user marking information and real-time coughing frequency. In this embodiment, if every minute Coughing more than 3 times is considered abnormal.
区域内用户追踪与实时统计模块2包括：In-region user tracking and real-time statistics module 2 includes:
定位单元21：集成于用户终端设备，用于采集用户地理位置信息，定位单元21包括北斗定位单元21；Positioning unit 21: integrated in the user terminal equipment, used to collect user geographic location information, the
追踪统计单元22：追踪用户终端设备，以分钟为单位获取区域内实时用户终端数量信息和地理位置信息，根据追踪到的用户终端设备对应的用户标记信息匹配获取用户背景信息，用户背景信息包括用户个人信息，用户个人信息包括姓名、性别、年龄、住址等个人信息；Tracking and statistics unit 22: Tracks user terminal equipment, obtains real-time user terminal quantity information and geographic location information in the area in minutes, and obtains user background information according to the user tag information corresponding to the tracked user terminal equipment. User background information includes user background information. Personal information, user personal information includes name, gender, age, address and other personal information;
区域内用户追踪与实时统计模块2接入区域电子地图，利用全球定位系统(北斗)以分钟为单位建立区域内每分钟用户终端设备数量及相应地理位置信息，接入用户背景信息，构建包括号码、背景和地理位置信息的综合数据总库。The user tracking and real-time statistics module 2 in the area accesses the regional electronic map, uses the Global Positioning System (Beidou) to establish the number of user terminal devices per minute in the area and the corresponding geographic location information, accesses the user background information, and constructs the number including the number A comprehensive database of , contextual and geographic information.
用户终端设备包括智能手机，进而，用户标记信息为智能手机的手机号。The user terminal equipment includes a smart phone, and further, the user marking information is a mobile phone number of the smart phone.
咳嗽用户信息筛检与整理模块3包括：Cough user information screening and
异常用户匹配提取单元31：该单元提取用户探测异常信息中的用户标记信息，根据用户标记信息从实时用户数据库匹配提取用户的地理位置信息和用户背景信息，将用户探测异常信息、地理位置信息和用户背景信息汇总为异常用户数据信息，所有异常用户的异常用户数据信息构成异常用户数据库；Abnormal user matching extraction unit 31: This unit extracts the user tag information in the user detection abnormal information, matches and extracts the user's geographic location information and user background information from the real-time user database according to the user tag information, and compares the user detection abnormal information, geographic location information and user background information. User background information is aggregated into abnormal user data information, and abnormal user data information of all abnormal users constitutes abnormal user database;
查询单元32：连接异常用户数据库，该单元提供查询读取接口，用于读取异常用户数据库中的异常用户数据信息。Querying unit 32: connected to the abnormal user database, this unit provides a query reading interface for reading abnormal user data information in the abnormal user database.
汇总预警模块4包括：The summary
咳嗽发病率曲线构建单元41：构建多维度咳嗽发病率曲线；Cough incidence rate curve construction unit 41: construct a multi-dimensional cough incidence rate curve;
预警单元42：比对多维度咳嗽发病率曲线产生传染病预警信息并实时预警。Early warning unit 42 : compares the multi-dimensional cough incidence rate curve to generate infectious disease early warning information and give real-time early warning.
多维度咳嗽发病率曲线包括每日发病率曲线、近7日平均发病率曲线和年度平均发病率曲线，The multi-dimensional cough incidence curve includes the daily incidence rate curve, the average incidence rate curve in the past 7 days and the annual average incidence rate curve.
每日发病率曲线通过如下方式获得：根据异常用户数据库确定每分钟咳嗽异常用户数，同时根据实时用户数据库对应获取区域同时段用户总数，利用每分钟咳嗽异常用户数除以区域同时段用户总数求取每分钟咳嗽发病率，根据每分钟咳嗽发病率绘制每日发病率曲线；The daily morbidity curve is obtained by the following methods: determine the number of users with abnormal cough per minute according to the abnormal user database, and obtain the total number of users in the same period in the region corresponding to the real-time user database, and divide the number of users with abnormal cough per minute by the total number of users in the region at the same time Take the incidence of cough per minute, and draw the daily incidence curve according to the incidence of cough per minute;
进而，根据历史每日发病率曲线构建近7日平均发病率曲线和年度平均发病率曲线。Furthermore, according to the historical daily incidence rate curve, the average incidence rate curve for the past 7 days and the annual average incidence rate curve were constructed.
预警单元42将当日发病率曲线与前1日发病率曲线、近7日平均发病率曲线和年度平均发病率曲线进行比较，若当日发病率发生突增时产生传染病预警信息并实时预警。The
综上，本发明涉及的数据信息包括：To sum up, the data information involved in the present invention includes:
用户探测异常信息：用户每分钟咳嗽次数，按分钟存储用户咳嗽信息，每条信息包括用户手机号、时间和咳嗽次数；User detection abnormal information: the number of times the user coughs per minute, and the user cough information is stored by minute, each piece of information includes the user's mobile phone number, time and number of coughs;
用户背景信息：本发明基于移动运行商提供的信息，因此用户背景信息全国移动用户的背景信息组成，按手机号存储，每条信息包括手机号、姓名、性别、年龄、住址等；User background information: The present invention is based on the information provided by the mobile operator, so the user background information is composed of background information of mobile users across the country, which is stored by mobile phone number, and each piece of information includes mobile phone number, name, gender, age, address, etc.;
区域内实时用户数据库：每分钟区域内用户信息，按手机号码存储，每条信息包括手机号、姓名、性别、年龄、住址、当日时间、进入指定区域时间、离开指定区域时间；Real-time user database in the area: user information in the area every minute, stored by mobile phone number, each piece of information includes mobile phone number, name, gender, age, address, time of the day, time of entering the designated area, and time of leaving the designated area;
异常用户数据库：每分钟区域内异常用户数据信息，每条信息包括手机号、姓名、性别、年龄、住址、时间、实时位置、是否异常等数据；Abnormal user database: abnormal user data information in the area every minute, each piece of information includes mobile phone number, name, gender, age, address, time, real-time location, abnormality and other data;
每日发病率曲线：以分钟为单位，咳嗽异常用户数除以区域实时用户总数求取实时咳嗽发病率，记录一天之内咳嗽发病率的变化曲线；Daily incidence curve: in minutes, divide the number of abnormal cough users by the total number of real-time users in the region to obtain the real-time cough incidence, and record the change curve of the cough incidence within one day;
近7日平均发病率曲线：特定日期前七日平均发病率绘制的发展趋势曲线；The average incidence rate curve of the past 7 days: the development trend curve drawn by the average incidence rate of the seven days before a specific date;
年度平均发病率曲线：年度的实时咳嗽发病率构成的趋势线。Annual Average Incidence Curve: A trend line constructed from the annual real-time cough incidence.
如图2所示，一种基于咳嗽症状的呼吸道传染病监测方法，该方法基于上述系统，方法包括如下步骤：As shown in Figure 2, a method for monitoring respiratory infectious diseases based on cough symptoms, the method is based on the above system, and the method includes the following steps:
步骤S1：识别用户咳嗽症状，判断是否异常，异常时将用户探测异常信息上传；Step S1: Identify the cough symptoms of the user, determine whether it is abnormal, and upload the abnormal detection information of the user when abnormal;
步骤S2：获取区域内实时用户数据，构建实时用户数据库，包括区域内用户终端数量信息、地理位置信息和用户背景信息，用户背景信息包括用户个人信息；Step S2: acquiring real-time user data in the area, and constructing a real-time user database, including information on the number of user terminals in the area, geographic location information, and user background information, where the user background information includes user personal information;
步骤S3：根据用户探测异常信息和实时用户数据库进行整理筛选，形成异常用户数据库，异常用户数据库包括所有异常用户的异常用户数据信息，异常用户数据信息包括用户探测异常信息、地理位置信息和用户背景信息；Step S3: sorting and screening according to the abnormal user detection information and the real-time user database to form an abnormal user database. The abnormal user database includes abnormal user data information of all abnormal users, and the abnormal user data information includes user detection abnormal information, geographic location information and user background. information;
步骤S4：根据异常用户数据库确定每分钟咳嗽异常用户数，同时根据实时用户数据库对应获取区域同时段用户总数，利用每分钟咳嗽异常用户数除以区域同时段用户总数求取每分钟咳嗽发病率，根据每分钟咳嗽发病率绘制每日发病率曲线；Step S4: Determine the number of users with abnormal cough per minute according to the abnormal user database, and obtain the total number of users in the same period in the region correspondingly according to the real-time user database, and calculate the incidence of cough per minute by dividing the number of users with abnormal cough per minute by the total number of users in the same period in the region. Draw daily incidence curves based on the incidence of cough per minute;
步骤S5：根据历史每日发病率曲线构建近7日平均发病率曲线和年度平均发病率曲线；Step S5: construct the average incidence rate curve for the past 7 days and the annual average incidence rate curve according to the historical daily incidence rate curve;
步骤S6：将当日发病率曲线与前1日发病率曲线、近7日平均发病率曲线和年度平均发病率曲线进行比较，若当日发病率发生突增时产生传染病预警信息并实时预警。Step S6: Compare the incidence rate curve of the current day with the incidence rate curve of the previous day, the average incidence rate curve of the past 7 days, and the annual average incidence rate curve, and generate early warning information of infectious diseases and real-time early warning if the incidence rate of the current day suddenly increases.
上述实施方式仅为例举，不表示对本发明范围的限定。这些实施方式还能以其它各种方式来实施，且能在不脱离本发明技术思想的范围内作各种省略、置换、变更。The above-described embodiments are merely examples, and do not limit the scope of the present invention. These embodiments can be implemented in other various forms, and various omissions, substitutions, and changes can be made without departing from the technical idea of the present invention.
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