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屠鸿薇, 钟若曦, 肖建鹏, 肖玲钰, 李艳, 宋铁. 广东省新型冠状病毒肺炎分区分级防控策略研究[J]. 中国公共卫生, 2020, 36(4): 486-492. DOI: 10.11847/zgggws1128921
引用本文: 屠鸿薇, 钟若曦, 肖建鹏, 肖玲钰, 李艳, 宋铁. 广东省新型冠状病毒肺炎分区分级防控策略研究[J]. 中国公共卫生, 2020, 36(4): 486-492. DOI: 10.11847/zgggws1128921
Hong-wei TU, Ruo-xi ZHONG, Jian-peng XIAO, . Region- and risk-specific strategies for coronavirus disease 2019 epidemic control and prevention in Guangdong province: a risk assessment study[J]. Chinese Journal of Public Health, 2020, 36(4): 486-492. DOI: 10.11847/zgggws1128921
Citation: Hong-wei TU, Ruo-xi ZHONG, Jian-peng XIAO, . Region- and risk-specific strategies for coronavirus disease 2019 epidemic control and prevention in Guangdong province: a risk assessment study[J]. Chinese Journal of Public Health, 2020, 36(4): 486-492. DOI: 10.11847/zgggws1128921

广东省新型冠状病毒肺炎分区分级防控策略研究

Region- and risk-specific strategies for coronavirus disease 2019 epidemic control and prevention in Guangdong province: a risk assessment study

  • 摘要:
      目的  利用风险评估方法探索出一套适用于广东省新型冠状病毒肺炎(新冠肺炎)疫情的分区分级防控方案。
      方法  基于2020年1月1日 — 2月23日全国各省新增病例数、广东省各城市疫情以及重点地区人群迁入广东省的数据,利用专家会商法设计评估体系,通过定量分析法计算152个区域的输入、扩散及综合风险值。通过专家会商法提出广东省新冠肺炎疫情风险分级管理方案。
      结果  输入风险中,处于高风险的县区17个(11.18 %)、中风险36个(23.68 %),低风险99个(65.13 %);扩散风险中,处于高风险的县区17个(11.08 %),中等风险32个(21.05 %),低风险103个(67.76 %)。综合高风险地区主要集中在佛山市、惠州市、广州市、深圳市、惠州市、东莞市等城市。
      结论  高风险地区集中在广东省珠三角,由于经济水平高、人口密度大,外来务工人员集中,面临着更大的防控压力。各地区可参照分区分级评估方法与防控措施建议灵活调整防控工作,尽快恢复生产与社会秩序。

     

    Abstract:
      Objective  To preliminarily develop a region- and risk-specific plan for prevention and control of coronavirus disease 2019 (COVID-19) epidemic base on the risk assessment methodology.
      Methods  We collected the data on daily number of COVID-19 cases reported in every provincial-level regions across China and every prefecture level regions in Guangdong province and the size of migrant populations from regions with severe COVID-19 epidemic. A scheme for assessment of COVID-19 epidemic risk was developed with expert consultations. The risk of imported, local and combined transmission of COVID-19 were evaluated using quantitative analysis for 152 county/district level regions in Guangdong province.
      Results  The assessment results demonstrated that for all the regions, 17 (11.18%), 36 (23.68%), and 99 (65.13%) were at high, moderate, and low risk of imported transmission and 17 (11.08%), 32(21.05%), and 103 (67.76%) were at high, moderate, and low risk of local transmission of COVID-19, respectively. The regions with high combined risk distributed mainly around several municipalities, including Foshan, Huizhou, Gruangzhou, Shenzhen, and Dongguan.
      Conclusion  The Pearl River Delta region is at a high risk of COVID-19 epidemic in relation to its high economic development and population density, as well as a large number of migrant workers. The region- and risk-specific assessment results may provide a reference for effective prevention and control of COVID-19 epidemic in the province.

     

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