Translational Global Health Policy Research Cell (Department of Health Research), Indian Council of Medical Research, New Delhi, India.
ICMR School of Public Health, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Indian J Med Res. 2020;151(2 & 3):190-199. doi: 10.4103/ijmr.IJMR_504_20.
BACKGROUND & OBJECTIVES: Coronavirus disease 2019 (COVID-19) has raised urgent questions about containment and mitigation, particularly in countries where the virus has not yet established human-to-human transmission. The objectives of this study were to find out if it was possible to prevent, or delay, the local outbreaks of COVID-19 through restrictions on travel from abroad and if the virus has already established in-country transmission, to what extent would its impact be mitigated through quarantine of symptomatic patients?
These questions were addressed in the context of India, using simple mathematical models of infectious disease transmission. While there remained important uncertainties in the natural history of COVID-19, using hypothetical epidemic curves, some key findings were illustrated that appeared insensitive to model assumptions, as well as highlighting critical data gaps.
It was assumed that symptomatic quarantine would identify and quarantine 50 per cent of symptomatic individuals within three days of developing symptoms. In an optimistic scenario of the basic reproduction number (R) being 1.5, and asymptomatic infections lacking any infectiousness, such measures would reduce the cumulative incidence by 62 per cent. In the pessimistic scenario of R=4, and asymptomatic infections being half as infectious as symptomatic, this projected impact falls to two per cent.
INTERPRETATION & CONCLUSIONS: Port-of-entry-based entry screening of travellers with suggestive clinical features and from COVID-19-affected countries, would achieve modest delays in the introduction of the virus into the community. Acting alone, however, such measures would be insufficient to delay the outbreak by weeks or longer. Once the virus establishes transmission within the community, quarantine of symptomatics may have a meaningful impact on disease burden. Model projections are subject to substantial uncertainty and can be further refined as more is understood about the natural history of infection of this novel virus. As a public health measure, health system and community preparedness would be critical to control any impending spread of COVID-19 in the country.
2019 年冠状病毒病(COVID-19)引发了有关遏制和缓解措施的紧急问题,尤其是在尚未发生人际传播的国家。本研究旨在探讨是否可以通过限制境外旅行来预防或延缓 COVID-19 的局部暴发,以及在病毒已在国内传播的情况下,对有症状的患者进行隔离检疫可以在多大程度上减轻其影响。
本研究使用传染病传播的简单数学模型,针对印度的情况,对这些问题进行了探讨。虽然 COVID-19 的自然史仍然存在重要的不确定性,但使用假设的流行曲线,我们展示了一些关键发现,这些发现似乎对模型假设不敏感,同时也突出了关键的数据差距。
假设症状性检疫将在出现症状后三天内识别并隔离 50%的有症状个体。在基本再生数(R)为 1.5 的乐观情景下,无症状感染没有任何传染性,这些措施将使累积发病率降低 62%。在 R=4 的悲观情景下,无症状感染的传染性为有症状感染的一半,这种预计的影响将降至 2%。
对具有提示性临床特征和来自 COVID-19 疫区的旅行者进行入境口岸筛查,可以适度延迟病毒进入社区的时间。然而,仅采取这种措施不足以延迟数周或更长时间的暴发。一旦病毒在社区内传播,对有症状者进行检疫可能会对疾病负担产生有意义的影响。模型预测受到很大的不确定性影响,可以随着对这种新型病毒感染自然史的了解进一步细化。作为公共卫生措施,卫生系统和社区的准备工作对于控制该国 COVID-19 的任何潜在传播至关重要。