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Effect of internationally imported cases on internal spread of COVID-19: a mathematical modelling study.
Russell, Timothy W; Wu, Joseph T; Clifford, Sam; Edmunds, W John; Kucharski, Adam J; Jit, Mark.
  • Russell TW; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Wu JT; School of Public Health, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • Clifford S; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Edmunds WJ; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Kucharski AJ; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Jit M; 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. Electronic address: mark.jit@lshtm.ac.uk.
Lancet Public Health ; 6(1): e12-e20, 2021 01.
Article in English | MEDLINE | ID: covidwho-1072035
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Internationality / Epidemics / Communicable Diseases, Imported / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Lancet Public Health Year: 2021 Document Type: Article Affiliation country: S2468-2667(20)30263-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Internationality / Epidemics / Communicable Diseases, Imported / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Lancet Public Health Year: 2021 Document Type: Article Affiliation country: S2468-2667(20)30263-2