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使用 COVID-19 检测阳性率、流行病学和临床工具来指导有针对性的公共卫生干预措施。

Use of COVID-19 Test Positivity Rate, Epidemiological, and Clinical Tools for Guiding Targeted Public Health Interventions.

机构信息

Indian Council of Medical Research, New Delhi, India.

出版信息

Front Public Health. 2022 Mar 16;10:821611. doi: 10.3389/fpubh.2022.821611. eCollection 2022.

Abstract

India experienced a second wave of COVID-19 infection with an unprecedented upsurge in the number of cases. We have analyzed the effect of different restrictive measures implemented in six Indian states. Further, based on available national and international data on disease transmission and clinical presentation, we have proposed a decision-making matrix for planning adequate resources to combat the future waves of COVID-19. We conclude that pragmatic and well calibrated localized restrictions, tailored as per specific needs may achieve a decline in disease transmission comparable to drastic steps like national lockdowns. Additionally, we have underscored the critical need for countries to generate local epidemiological, clinical and laboratory data alongwith community perception and uptake of various non-pharmaceutical interventions, for effective planning and policy making.

摘要

印度经历了第二波 COVID-19 感染,病例数量出现了前所未有的激增。我们分析了在印度六个邦实施的不同限制措施的效果。此外,根据疾病传播和临床特征的现有国家和国际数据,我们提出了一个决策矩阵,以规划足够的资源来应对未来的 COVID-19 浪潮。我们的结论是,务实和精心校准的本地化限制措施,根据具体需求进行定制,可能会实现与全国封锁等严厉措施相当的疾病传播下降。此外,我们强调各国必须生成本地流行病学、临床和实验室数据,以及社区对各种非药物干预措施的看法和接受程度,以便进行有效的规划和决策制定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1e0/8965807/3d292bdf0351/fpubh-10-821611-g0001.jpg

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