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(shù)被廣泛應用于實(shí)時(shí)數據監測、醫療物資調度、疫情APP工具開(kāi)發(fā)等方面，提升了公共衛生體系的應急處置和常態(tài)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(guò)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(lèi)、特征、發(fā)病規律、傳播途徑與潛在威脅，為進(jìn)一步確定病毒來(lái)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(dòng)趨勢，提前預測出重大事件爆發(fā)的可能時(shí)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(fā)：大數據能夠促進(jìn)公共衛生領(lǐng)域救治與研發(fā)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(fēng)險監控及流行病分析：大數據應用研究涉及到風(fēng)險和資源的預測、人口管理、藥品和醫療器械的監控等多個(gè)方面，這些方面大致可概括為衛生保健和醫療服務(wù)、風(fēng)險監控及流行病分析兩個(gè)基本領(lǐng)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(gè)人與群體健康管理：個(gè)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(gè)人慢性病的監測與評估、個(gè)體化干預以及慢性病群體特征刻畫(huà)、發(fā)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(guān)于 公共衛生數據采集系統 的介紹，若想了解相關(guān)知識可請點(diǎn)擊：http://www.hly8888.com/ 我們將會(huì )全心全意為您提供滿(mǎn)分服務(wù)，歡迎您的來(lái)電！

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