论文标题

数学评估非药物干预措施对减少2019年新颖冠状病毒的影响

Mathematical assessment of the impact of non-pharmaceutical interventions on curtailing the 2019 novel Coronavirus

论文作者

Ngonghala, Calistus N., Iboi, Enahoro, Eikenberry, Steffen, Scotch, Matthew, MacIntyre, Chandini Raina, Bonds, Matthew H., Gumel, Abba B.

论文摘要

2019年12月出现了一种新颖的冠状病毒大流行,在全球造成了毁灭性的公共卫生影响。在没有安全有效的疫苗或抗病毒药的情况下,减轻大流行负担的策略集中在非药物干预措施上,例如社交抗态度,接触追踪,隔离,隔离,隔离,隔离和在公众中使用面罩。我们开发了一个新的数学模型,用于评估这些缓解策略的人口水平的影响。该模型的模拟使用与纽约州和整个美国的Covid-19传播相关的数据,表明大流行将分别在4月中旬和4月下旬达到顶峰。纽约州和整个美国在研究中考虑的累积死亡率的最严重情况预测(基于抗腹膜非药物的非药物干预措施的基线水平)和整个美国在严格的社交范围内分别急剧下降80%和64%。与严格的社会距离发作之前预计的负担相似。如果至少70%的纽约州居民持续使用这种面具(在全国范围内,使用此类口罩将需要至少80%的遵守情况),使用有效的口罩(效力大于70%)可能会导致消除大流行。使用低疗效口罩的使用,例如布面膜(效力小于30%),也可能导致Covid-19的负担大大减轻(尽管它们无法导致消除)。将低疗效面膜与改善其他抗COVID-19的干预措施的水平相结合可以导致消除大流行。如果面具使用与严格的社会持续存在,则消除共同19的面罩覆盖范围会减少。

A novel Coronavirus pandemic emerged in December of 2019, causing devastating public health impact across the world. In the absence of a safe and effective vaccine or antiviral, strategies for mitigating the burden of the pandemic are focused on non-pharmaceutical interventions, such as social-distancing, contact-tracing, quarantine, isolation and the use of face-masks in public. We develop a new mathematical model for assessing the population-level impact of these mitigation strategies. Simulations of the model, using data relevant to COVID-19 transmission in New York state and the entire US, show that the pandemic will peak in mid and late April, respectively. The worst-case scenario projections for cumulative mortality (based on the baseline levels of anti-COVID non-pharmaceutical interventions considered in the study) in New York State and the entire US decrease dramatically by 80% and 64%, respectively, if the strict social-distancing measures implemented are maintained until the end of May or June, 2020. This study shows that early termination of strict social-distancing could trigger a devastating second wave with burden similar to that projected before the onset of strict social-distance. The use of efficacious face-masks (efficacy greater than 70%) could lead to the elimination of the pandemic if at least 70% of the residents of New York state use such masks consistently (nationwide, a compliance of at least 80% will be required using such masks). The use of low efficacy masks, such as cloth masks (of efficacy less than 30%), could also lead to significant reduction of COVID-19 burden (albeit, they are not able to lead to elimination). Combining low efficacy masks with improved levels of other anti-COVID-19 intervention measures can lead to elimination of the pandemic. The mask coverage needed to eliminate COVID-19 decreases if mask-use is combined with strict social-distancing.

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