2020
DOI: 10.1101/2020.02.13.20022707
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Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers

Abstract: 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 est… Show more

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Cited by 88 publications
(84 citation statements)
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“…CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) size of 11 million, estimated the number of infected cases in Wuhan to be 29,500 (14,300 to 85,700) on January 23, 2020, closely matching our prediction of 26,144 cases (21,936 to 30,748) on the same day. These studies supported the validity of key assumptions made in our main analysis, including the initial ascertainment rate of 0.5.…”
Section: Discussionsupporting
confidence: 80%
“…CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) size of 11 million, estimated the number of infected cases in Wuhan to be 29,500 (14,300 to 85,700) on January 23, 2020, closely matching our prediction of 26,144 cases (21,936 to 30,748) on the same day. These studies supported the validity of key assumptions made in our main analysis, including the initial ascertainment rate of 0.5.…”
Section: Discussionsupporting
confidence: 80%
“…Because of the evidence of pre-symptomatic transmission (Tindale et al, 2020), we also assumed that cases become infectious one day before symptom onset. To account for substantial uncertainty around reporting rates, we assigned different reporting rates to individual locations based on the testing criteria enacted in that location (Niehus et al, 2020) . For each country and state, we first extracted testing criteria from the department or ministry of health website.…”
Section: Travel Importation Risk Estimatesmentioning
confidence: 99%
“…The purpose of our study is to provide a risk map of 2019-nCoV outbreak, so as to facilitate decision makers to adjust virus prevention policy. It is a great challenge to fight effectively and appropriately against a pandemic [13,14], especially when we do not know much about the novel coronavirus [2,15]. Rational and proportionate responses to such a virus outbreak are needed.…”
Section: Resultsmentioning
confidence: 99%