傳染病防控：在新型冠狀病毒肺炎等傳染病防控中，大數據技術被廣泛應用于實時數據監測、醫療物資調度、疫情APP工具開發等方面，提升了公共衛生體系的應急處置和常態化防控能力。

　　Infectious disease prevention and control: In the prevention and control of infectious diseases such as novel coronavirus pneumonia, big data technology is widely used in real-time data monitoring, medical material scheduling, epidemic situation APP tool development and other aspects, improving the emergency response and normalized prevention and control capabilities of the public health system.

　　慢性病管理：通過電子病歷和電子健康檔案的數據篩選與分析，能夠有效識別傳染源的共性特征，洞察病毒的種類、特征、發病規律、傳播途徑與潛在威脅，為進一步確定病毒來源與加強衛生防控提供重要依據。

　　Chronic disease management: Through data screening and analysis of electronic medical records and electronic health records, it is possible to effectively identify the common characteristics of infectious sources, gain insight into the types, characteristics, incidence patterns, transmission routes, and potential threats of viruses, and provide important basis for further determining the source of viruses and strengthening health prevention and control.

　　預測預警系統：建立重大衛生事件預測預警模型，根據各種數據指標的變動趨勢，提前預測出重大事件爆發的可能時間、地域和嚴重程度，以便提前做好準備工作。

　　Prediction and early warning system: Establish a prediction and early warning model for major health events, predict the possible time, region, and severity of major event outbreaks in advance based on the changing trends of various data indicators, in order to prepare in advance.

　　智能化救治與研發：大數據能夠促進公共衛生領域救治與研發的智能化，提高用藥的針對性與準確性，提升救治水平。

　　Intelligent treatment and research and development: Big data can promote the intelligence of treatment and research in the public health field, improve the targeting and accuracy of medication, and enhance the level of treatment.

　　風險監控及流行病分析：大數據應用研究涉及到風險和資源的預測、人口管理、藥品和醫療器械的安全監控等多個方面，這些方面大致可概括為衛生保健和醫療服務、風險監控及流行病分析兩個基本領域。

　　Risk monitoring and epidemic analysis: Big data application research involves multiple aspects such as risk and resource prediction, population management, and safety monitoring of drugs and medical devices. These aspects can be roughly summarized as two basic fields: healthcare and medical services, risk monitoring and epidemic analysis.

　　個人與群體健康管理：個人慢性病管理和群體慢性病管理的大數據應用模式表現為對個人慢性病的監測與評估、個體化干預以及慢性病群體特征刻畫、發展預測、管理評估和監護

　　Individual and group health management: The big data application model of individual and group chronic disease management is manifested as monitoring and evaluation of individual chronic diseases, personalized intervention, characterization of chronic disease group characteristics, development prediction, management evaluation, and monitoring

　　以上是關于 公共衛生數據采集系統 的介紹，若想了解相關知識可請點擊：http://m.sd135.com/ 我們將會全心全意為您提供滿分服務，歡迎您的來電！

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