傳染病防控：在新型冠狀病毒肺炎等傳染病防控中，大數(shù)據(jù)技術(shù)被廣泛應(yīng)用于實(shí)時(shí)數(shù)據(jù)監(jiān)測(cè)、醫(yī)療物資調(diào)度、疫情APP工具開發(fā)等方面，提升了公共衛(wèi)生體系的應(yīng)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：通過電子病歷和電子健康檔案的數(shù)據(jù)篩選與分析，能夠有效識(shí)別傳染源的共性特征，洞察病毒的種類、特征、發(fā)病規(guī)律、傳播途徑與潛在威脅，為進(jìn)一步確定病毒來源與加強(qiáng)衛(wèi)生防控提供重要依據(jù)。

　　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(yù)測(cè)預(yù)警系統(tǒng)：建立重大衛(wèi)生事件預(yù)測(cè)預(yù)警模型，根據(jù)各種數(shù)據(jù)指標(biāo)的變動(dòng)趨勢(shì)，提前預(yù)測(cè)出重大事件爆發(fā)的可能時(shí)間、地域和嚴(yán)重程度，以便提前做好準(zhǔn)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(shù)據(jù)能夠促進(jìn)公共衛(wèi)生領(lǐng)域救治與研發(fā)的智能化，提高用藥的針對(duì)性與準(zhǔn)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(xiǎn)監(jiān)控及流行病分析：大數(shù)據(jù)應(yīng)用研究涉及到風(fēng)險(xiǎn)和資源的預(yù)測(cè)、人口管理、藥品和醫(yī)療器械的安全監(jiān)控等多個(gè)方面，這些方面大致可概括為衛(wèi)生保健和醫(yī)療服務(wù)、風(fēng)險(xiǎn)監(jiān)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(shù)據(jù)應(yīng)用模式表現(xiàn)為對(duì)個(gè)人慢性病的監(jiān)測(cè)與評(píng)估、個(gè)體化干預(yù)以及慢性病群體特征刻畫、發(fā)展預(yù)測(cè)、管理評(píng)估和監(jiān)護(hù)

　　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

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