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10.7554/eLife.55570

http://scihub22266oqcxt.onion/10.7554/eLife.55570
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32091395!7060038!32091395
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suck abstract from ncbi


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pmid32091395      Elife 2020 ; 9 (ä): ä
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  • Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19 #MMPMID32091395
  • Gostic K; Gomez AC; Mummah RO; Kucharski AJ; Lloyd-Smith JO
  • Elife 2020[Feb]; 9 (ä): ä PMID32091395show ga
  • 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.
  • |*Asymptomatic Infections[MESH]
  • |*Betacoronavirus/isolation & purification[MESH]
  • |*Mass Screening/methods/standards[MESH]
  • |*Travel[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*diagnosis/epidemiology/transmission[MESH]
  • |Disease Outbreaks[MESH]
  • |Humans[MESH]
  • |Infection Control[MESH]
  • |Pneumonia, Viral/*diagnosis/epidemiology/transmission[MESH]
  • |Risk Assessment[MESH]


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