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国际输入病例对 COVID-19 内部传播的影响:一项数学建模研究。

Effect of internationally imported cases on internal spread of COVID-19: a mathematical modelling study.

机构信息

Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.

School of Public Health, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.

出版信息

Lancet Public Health. 2021 Jan;6(1):e12-e20. doi: 10.1016/S2468-2667(20)30263-2. Epub 2020 Dec 7.

Abstract

BACKGROUND

Countries have restricted international arrivals to delay the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). These measures carry a high economic and social cost, and might have little effect on COVID-19 epidemics if there are many more cases resulting from local transmission compared with imported cases. Our study aims to investigate the extent to which imported cases contribute to local transmission under different epidemic conditions.

METHODS

To inform decisions about international travel restrictions, we calculated the ratio of expected COVID-19 cases from international travel (assuming no travel restrictions) to expected cases arising from internal spread, expressed as a proportion, on an average day in May and September, 2020, in each country. COVID-19 prevalence and incidence were estimated using a modelling framework that adjusts reported cases for under-ascertainment and asymptomatic infections. We considered different travel scenarios for May and September, 2020: an upper bound with estimated travel volumes at the same levels as May and September, 2019, and a lower bound with estimated travel volumes adjusted downwards according to expected reductions in May and September, 2020. Results were interpreted in the context of local epidemic growth rates.

FINDINGS

In May, 2020, imported cases are likely to have accounted for a high proportion of total incidence in many countries, contributing more than 10% of total incidence in 102 (95% credible interval 63-129) of 136 countries when assuming no reduction in travel volumes (ie, with 2019 travel volumes) and in 74 countries (33-114) when assuming estimated 2020 travel volumes. Imported cases in September, 2020, would have accounted for no more than 10% of total incidence in 106 (50-140) of 162 countries and less than 1% in 21 countries (4-71) when assuming no reductions in travel volumes. With estimated 2020 travel volumes, imported cases in September, 2020, accounted for no more than 10% of total incidence in 125 countries (65-162) and less than 1% in 44 countries (8-97). Of these 44 countries, 22 (2-61) had epidemic growth rates far from the tipping point of exponential growth, making them the least likely to benefit from travel restrictions.

INTERPRETATION

Countries can expect travellers infected with SARS-CoV-2 to arrive in the absence of travel restrictions. Although such restrictions probably contribute to epidemic control in many countries, in others, imported cases are likely to contribute little to local COVID-19 epidemics. Stringent travel restrictions might have little impact on epidemic dynamics except in countries with low COVID-19 incidence and large numbers of arrivals from other countries, or where epidemics are close to tipping points for exponential growth. Countries should consider local COVID-19 incidence, local epidemic growth, and travel volumes before implementing such restrictions.

FUNDING

Wellcome Trust, UK Foreign, Commonwealth & Development Office, European Commission, National Institute for Health Research, Medical Research Council, and Bill & Melinda Gates Foundation.

摘要

背景

为了延缓严重急性呼吸综合征冠状病毒 2 型(SARS-CoV-2)的传播,各国对国际入境者实施了限制。如果与输入病例相比,本地传播导致的病例更多,那么这些措施将带来高昂的经济和社会成本,对 COVID-19 疫情可能影响甚微。我们的研究旨在调查在不同疫情条件下,输入病例对本地传播的影响程度。

方法

为了为国际旅行限制决策提供信息,我们计算了 2020 年 5 月和 9 月平均每天假设没有旅行限制情况下,国际旅行(不考虑旅行限制)预计会引发的 COVID-19 病例数与内部传播预计病例数之比,用比例表示。我们使用一种调整报告病例中未确诊和无症状感染的建模框架来估计 COVID-19 的患病率和发病率。我们考虑了 2020 年 5 月和 9 月的不同旅行情景:上限是根据 2019 年同期的旅行量估计的,下限是根据 2020 年 5 月和 9 月的预期减少量调整后的旅行量。结果根据当地疫情增长率进行解释。

发现

2020 年 5 月,在许多国家,输入病例可能在总发病率中占很大比例,在不考虑旅行量减少(即 2019 年旅行量)的情况下,136 个国家中的 102 个(95%可信区间 63-129)的总发病率中,输入病例的比例超过 10%,而在假设 2020 年旅行量估计值的情况下,74 个国家(33-114)的总发病率中,输入病例的比例超过 10%。2020 年 9 月,输入病例在 162 个国家中的 106 个(50-140)的总发病率中所占比例不会超过 10%,在 21 个国家(4-71)的总发病率中所占比例不会超过 1%。在假设 2020 年旅行量的情况下,输入病例在 125 个国家(65-162)的总发病率中所占比例不会超过 10%,在 44 个国家(8-97)的总发病率中所占比例不会超过 1%。在这 44 个国家中,有 22 个(2-61)的疫情增长率远低于指数增长的临界点,因此它们最不可能从旅行限制中受益。

解释

在没有旅行限制的情况下,预计旅行者会感染 SARS-CoV-2 并抵达。尽管这些限制可能在许多国家有助于控制疫情,但在其他国家,输入病例可能对当地 COVID-19 疫情的影响甚微。除了 COVID-19 发病率低且来自其他国家的入境人数多的国家,或疫情接近指数增长临界点的国家外,严格的旅行限制可能对疫情动态几乎没有影响。在实施这些限制之前,各国应考虑当地 COVID-19 发病率、当地疫情增长和旅行量。

资助

惠康信托基金会、英国外交、联邦和发展办公室、欧盟委员会、英国国家卫生研究院、医学研究理事会和比尔及梅琳达·盖茨基金会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa68/7836790/b5e03282afbe/gr1_lrg.jpg

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