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Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19.
Gostic, Katelyn; Gomez, Ana Cr; Mummah, Riley O; Kucharski, Adam J; Lloyd-Smith, James O.
  • Gostic K; Department of Ecology and Evolution, University of Chicago, Chicago, United States.
  • Gomez AC; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States.
  • Mummah RO; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States.
  • Kucharski AJ; Department of Infectious Disease Epidemiology, London School of Tropical Hygiene and Medicine, London, United Kingdom.
  • Lloyd-Smith JO; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States.
Elife ; 92020 02 24.
Article in English | MEDLINE | ID: covidwho-1344521
ABSTRACT
Traveller screening is being used to limit further spread of COVID-19 following its recent emergence, and symptom screening has become a ubiquitous tool in the global response. Previously, we developed a mathematical model to understand factors governing the effectiveness of traveller screening to prevent spread of emerging pathogens (Gostic et al., 2015). Here, we estimate the impact of different screening programs given current knowledge of key COVID-19 life history and epidemiological parameters. Even under best-case assumptions, we estimate that screening will miss more than half of infected people. Breaking down the factors leading to screening successes and failures, we find that most cases missed by screening are fundamentally undetectable, because they have not yet developed symptoms and are unaware they were exposed. Our work underscores the need for measures to limit transmission by individuals who become ill after being missed by a screening program. These findings can support evidence-based policy to combat the spread of COVID-19, and prospective planning to mitigate future emerging pathogens.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Travel / Mass Screening / Coronavirus Infections / Asymptomatic Infections / Betacoronavirus Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Year: 2020 Document Type: Article Affiliation country: ELife.55570

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Travel / Mass Screening / Coronavirus Infections / Asymptomatic Infections / Betacoronavirus Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Year: 2020 Document Type: Article Affiliation country: ELife.55570