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无症状传播如何影响大流行期间的缓解和抑制策略。

How Asymptomatic Transmission Influences Mitigation and Suppression Strategies during a Pandemic.

机构信息

Force Medical Department, Naval Special Warfare Command, Coronado, CA, USA.

出版信息

Risk Anal. 2023 Apr;43(4):649-659. doi: 10.1111/risa.13736. Epub 2021 May 3.

Abstract

Asymptomatic transmission complicates any public health strategies to combat a pandemic, which proved especially accurate in the case of COVID-19. Although asymptomatic cases are not unique to COVID-19, the high asymptomatic case rate raised many problems for developing effective public health interventions. The current modeling effort explored how asymptomatic transmission might impact pandemic responses in four key areas: isolation procedures, changes in reproduction rate, the potential for reduced transmission from asymptomatic cases, and social adherence to public health measures. A high rate of asymptomatic cases effectively requires large-scale public health suppression and mitigation procedures given that quarantine procedures alone could not prevent an outbreak for a virus such as SARS-CoV-2. This problem only becomes worse without lowering the effective reproduction rate, and even assuming the potential for reduced transmission, any virus with a high degree of asymptomatic transmission will likely produce a pandemic. Finally, there is a concern that asymptomatic individuals will also refuse to adhere to public health guidance. Analyses indicate that, given certain assumptions, even half of the population adhering to public health guidance could reduce the peak and flatten the curve by over 90%. Taken together, these analyses highlight the importance of taking asymptomatic cases into account when modeling viral spread and developing public health intervention strategies.

摘要

无症状传播使任何针对大流行的公共卫生策略变得复杂,这在 COVID-19 病例中被证明是特别准确的。尽管无症状病例并非 COVID-19 所独有,但高无症状病例率给制定有效的公共卫生干预措施带来了许多问题。目前的建模工作探讨了无症状传播如何在四个关键领域影响大流行应对措施:隔离程序、繁殖率的变化、无症状病例传播减少的可能性以及对公共卫生措施的社会遵守程度。鉴于仅隔离程序本身就无法预防 SARS-CoV-2 等病毒的爆发,高无症状病例率实际上需要大规模的公共卫生抑制和缓解措施。如果不降低有效繁殖率,这个问题只会变得更糟,即使假设传播减少的可能性,任何具有高度无症状传播的病毒都可能引发大流行。最后,人们担心无症状个体也会拒绝遵守公共卫生指导。分析表明,在某些假设下,即使有一半人口遵守公共卫生指导,也可以将峰值降低 90%以上并使曲线变平。总之,这些分析强调了在对病毒传播进行建模和制定公共卫生干预策略时考虑无症状病例的重要性。

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