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Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers

Risk of COVID-19 infection in Wuhan has been estimated using imported case counts of international travelers, often under the assumption that all cases in travelers are ascertained. Recent work indicates variation among countries in detection capacity for imported cases. Singapore has historically h...

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Autores principales: Niehus, Rene, De Salazar, Pablo M., Taylor, Aimee R., Lipsitch, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239063/
https://www.ncbi.nlm.nih.gov/pubmed/32511442
http://dx.doi.org/10.1101/2020.02.13.20022707
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author Niehus, Rene
De Salazar, Pablo M.
Taylor, Aimee R.
Lipsitch, Marc
author_facet Niehus, Rene
De Salazar, Pablo M.
Taylor, Aimee R.
Lipsitch, Marc
author_sort Niehus, Rene
collection PubMed
description Risk of COVID-19 infection in Wuhan has been estimated using imported case counts of international travelers, often under the assumption that all cases in travelers are ascertained. Recent work indicates variation among countries in detection capacity for imported cases. Singapore has historically had very strong epidemiological surveillance and contact-tracing capacity and has shown in the COVID-19 epidemic evidence of a high sensitivity of case detection. We therefore used a Bayesian modeling approach to estimate the relative imported case detection capacity for other countries compared to that of Singapore. We estimate that the global ability to detect imported cases is 38% (95% HPDI 22% – 64%) of Singapore’s capacity. Equivalently, an estimate of 2.8 (95% HPDI 1.5 – 4.4) times the current number of imported cases, could have been detected, if all countries had had the same detection capacity as Singapore. Using the second component of the Global Health Security index to stratify likely case-detection capacities, we found that the ability to detect imported cases relative to Singapore among high surveillance locations is 40% (95% HPDI 22% – 67%), among intermediate surveillance locations it is 37% (95% HPDI 18% – 68%), and among low surveillance locations it is 11% (95% HPDI 0% – 42%). Using a simple mathematical model, we further find that treating all travelers as if they were residents (rather than accounting for the brief stay of some of these travelers in Wuhan) can modestly contribute to underestimation of prevalence as well. We conclude that estimates of case counts in Wuhan based on assumptions of perfect detection in travelers may be underestimated by several fold, and severity correspondingly overestimated by several fold. Undetected cases are likely in countries around the world, with greater risk in countries of low detection capacity and high connectivity to the epicenter of the outbreak.
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spelling pubmed-72390632020-06-07 Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers Niehus, Rene De Salazar, Pablo M. Taylor, Aimee R. Lipsitch, Marc medRxiv Article Risk of COVID-19 infection in Wuhan has been estimated using imported case counts of international travelers, often under the assumption that all cases in travelers are ascertained. Recent work indicates variation among countries in detection capacity for imported cases. Singapore has historically had very strong epidemiological surveillance and contact-tracing capacity and has shown in the COVID-19 epidemic evidence of a high sensitivity of case detection. We therefore used a Bayesian modeling approach to estimate the relative imported case detection capacity for other countries compared to that of Singapore. We estimate that the global ability to detect imported cases is 38% (95% HPDI 22% – 64%) of Singapore’s capacity. Equivalently, an estimate of 2.8 (95% HPDI 1.5 – 4.4) times the current number of imported cases, could have been detected, if all countries had had the same detection capacity as Singapore. Using the second component of the Global Health Security index to stratify likely case-detection capacities, we found that the ability to detect imported cases relative to Singapore among high surveillance locations is 40% (95% HPDI 22% – 67%), among intermediate surveillance locations it is 37% (95% HPDI 18% – 68%), and among low surveillance locations it is 11% (95% HPDI 0% – 42%). Using a simple mathematical model, we further find that treating all travelers as if they were residents (rather than accounting for the brief stay of some of these travelers in Wuhan) can modestly contribute to underestimation of prevalence as well. We conclude that estimates of case counts in Wuhan based on assumptions of perfect detection in travelers may be underestimated by several fold, and severity correspondingly overestimated by several fold. Undetected cases are likely in countries around the world, with greater risk in countries of low detection capacity and high connectivity to the epicenter of the outbreak. Cold Spring Harbor Laboratory 2020-02-18 /pmc/articles/PMC7239063/ /pubmed/32511442 http://dx.doi.org/10.1101/2020.02.13.20022707 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/It is made available under a CC-BY-NC-ND 4.0 International license (http://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Article
Niehus, Rene
De Salazar, Pablo M.
Taylor, Aimee R.
Lipsitch, Marc
Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers
title Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers
title_full Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers
title_fullStr Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers
title_full_unstemmed Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers
title_short Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers
title_sort quantifying bias of covid-19 prevalence and severity estimates in wuhan, china that depend on reported cases in international travelers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239063/
https://www.ncbi.nlm.nih.gov/pubmed/32511442
http://dx.doi.org/10.1101/2020.02.13.20022707
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