Impact of Population Mask Wearing on Covid-19 Post Lockdown

IF 2 Q3 INFECTIOUS DISEASES
Babak Javid, N. Balaban
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引用次数: 14

Abstract

COVID-19, caused by SARS-CoV2 is a rapidly spreading global pandemic. Although precise transmission routes and dynamics are unknown, SARS-CoV2 is thought primarily to spread via contagious respiratory droplets. Unlike with SARS-CoV, maximal viral shedding occurs in the early phase of illness, and this is supported by models that suggest 40-80% of transmission events occur from pre- and asymptomatic individuals. One widely-discussed strategy to limit transmission of SARS-CoV2, particularly from presymptomatic individuals, has been population-level wearing of masks. Modelling for pandemic influenza suggests some benefit in reducing total numbers infected with even 50% mask-use. COVID-19 has a higher hospitalization and mortality rate than influenza, and the impacts on these parameters, and critically, at what point in the pandemic trajectory mask-use might exert maximal benefit are completely unknown. We derived a simplified SIR model to investigate the effects of near-universal mask-use on COVID-19 assuming 8 or 16% mask efficacy. We decided to model, in particular, the impact of masks on numbers of critically-ill patients and cumulative mortality, since these are parameters that are likely to have the most severe consequences in the COVID-19 pandemic. Whereas mask use had a relatively minor benefit on critical-care and mortality rates when transmissibility (Reff) was high, the reduction on deaths was dramatic as the effective R approached 1, as might be expected after aggressive social-distancing measures such as wide-spread lockdowns. One major concern with COVID-19 is its potential to overwhelm healthcare infrastructures, even in resource-rich settings, with one third of hospitalized patients requiring critical-care. We incorporated this into our model, increasing death rates for when critical-care resources have been exhausted. Our simple model shows that modest efficacy of masks could avert substantial mortality in this scenario. Importantly, the effects on mortality became hyper-sensitive to mask-wearing as the effective R approaches 1, i.e. near the tipping point of when the infection trajectory is expected to revert to exponential growth, as would be expected after effective lockdown. Our model suggests that mask-wearing might exert maximal benefit as nations plan their post-lockdown strategies and suggests that mask-wearing should be included in further more sophisticated models of the current pandemic.
人口戴口罩对封锁后新冠肺炎的影响
由SARS-CoV2引起的新冠肺炎是一种快速传播的全球大流行。尽管确切的传播途径和动态尚不清楚,但严重急性呼吸系统综合征冠状病毒2型被认为主要通过传染性呼吸道飞沫传播。与严重急性呼吸系统综合征冠状病毒不同,病毒的最大脱落发生在疾病的早期,这一点得到了模型的支持,该模型表明40-80%的传播事件发生在有症状和无症状的个体身上。一个被广泛讨论的限制严重急性呼吸系统综合征冠状病毒2型传播的策略,特别是症状前个体的传播,是在人群层面佩戴口罩。大流行性流感的建模表明,即使使用50%的口罩,也可以减少感染总数。新冠肺炎的住院率和死亡率高于流感,对这些参数的影响,尤其是在大流行轨迹中的什么时候使用口罩可能产生最大的益处,目前尚不清楚。我们导出了一个简化的SIR模型,以研究近全球使用口罩对新冠肺炎的影响,假设口罩功效为8%或16%。我们决定特别模拟口罩对危重患者人数和累计死亡率的影响,因为这些参数可能在新冠肺炎大流行中产生最严重的后果。当传播性(Reff)较高时,口罩的使用对重症监护和死亡率的影响相对较小,但随着有效R接近1,死亡人数大幅减少,这可能是在采取积极的社交距离措施(如广泛封锁)后所预期的。新冠肺炎的一个主要担忧是,即使在资源丰富的环境中,它也有可能淹没医疗基础设施,三分之一的住院患者需要重症监护。我们将此纳入我们的模型,在重症监护资源耗尽时提高死亡率。我们的简单模型表明,在这种情况下,口罩的适度功效可以避免大量死亡。重要的是,随着有效R接近1,即接近感染轨迹预计将恢复到指数增长的临界点,戴口罩对死亡率的影响变得非常敏感,正如有效封锁后所预期的那样。我们的模型表明,随着各国计划封锁后的战略,戴口罩可能会带来最大的好处,并建议将戴口罩纳入当前疫情的更复杂模型中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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