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呼吸道传染病疫情流行病学调查数据智能采集策略研究

Intelligent data acquisition strategies for epidemiological investigations of respiratory infectious disease outbreaks

  • 摘要:
    目的 分析呼吸道传染病疫情流行病学调查场景模式,设计针对不同流行病学调查数据采集目的的呼吸道传染病疫情流行病学调查数据智能采集策略。
    方法 系统回顾和梳理我国典型呼吸道传染病疫情的发生场景,采用文献研究、焦点小组访谈、专家咨询等方法,归纳呼吸道传染病疫情流行病学调查场景模式结构与模式特征。结合当前主要应用的数据智能采集技术和工具,设计呼吸道传染病疫情流行病学调查数据智能采集策略,设置流行病学调查数据智能采集模块,并分析整理各模块的具体采集内容和采集模式。
    结果 呼吸道传染病疫情流行病学调查场景模式包括病例个案流行病学调查和涉疫场所流行病学调查。针对流行病学调查数据采集目的确定智能采集策略,包括对少量特异风险人群的详细精准病例个案流行病学调查数据采集、对大量未知风险人群的简单快速病例个案流行病学调查数据采集以及对涉疫场所的流行病学调查数据采集。设置7个流行病学调查数据智能采集模块,整理流行病学调查采集变量共1 012个。
    结论 本研究基于呼吸道传染病疫情的传播场景以及不同传播场景下的流行病学调查数据采集目的,提出针对性的呼吸道传染病疫情流行病学调查数据智能采集策略,设置智能采集模块,确定采集内容和采集模式,为智能流行病学调查系统的设计和开发奠定了基础。

     

    Abstract:
    Objective To analyze the epidemiological investigation scenario patterns of respiratory infectious disease outbreaks and design intelligent data collection strategies for different epidemiological investigation data collection objectives.
    Methods We systematically reviewed and sorted the occurrence scenarios of typical respiratory infectious disease outbreaks in China. Using literature research, focus group interviews, and expert consultations, we summarized the structural and characteristic patterns of epidemiological investigation scenarios for respiratory infectious diseases. Combined with currently used intelligent data collection technologies and tools, we designed intelligent data collection strategies for epidemiological investigations of respiratory infectious disease outbreaks, established intelligent data collection modules for epidemiological investigations, and analyzed and organized the specific collection content and modes of each module.
    Results Epidemiological investigation scenario patterns of respiratory infectious disease outbreaks include case-based epidemiological investigations and epidemiological investigations of affected sites. Intelligent collection strategies were determined based on the data collection objectives of the epidemiological investigations, including detailed and precise case-based epidemiological investigation data collection for a small number of specific high-risk populations, simple and rapid case-based epidemiological investigation data collection for a large number of unknown risk populations, and epidemiological investigation data collection for affected sites. Seven intelligent data collection modules for epidemiological investigations were established, and a total of 1 012 epidemiological investigation collection variables were organized.
    Conclusions Based on the transmission scenarios of respiratory infectious disease outbreaks and the data collection objectives of epidemiological investigations under different transmission scenarios, this study proposes targeted intelligent data collection strategies for epidemiological investigations of respiratory infectious disease outbreaks, establishes intelligent collection modules, and determines the collection content and modes, laying the foundation for the design and development of intelligent epidemiological investigation systems.

     

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