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How much leeway is there to relax COVID-19 control measures?
Sean C. Anderson; Nicola Mulberry; Andrew M. Edwards; Jessica E. Stockdale; Sarafa A. Iyaniwura; Rebeca C. Falcao; Michael C. Otterstatter; Naveed Z. Janjua; Daniel Coombs; Caroline Colijn.
Afiliación
  • Sean C. Anderson; Pacific Biological Station, Fisheries and Oceans Canada
  • Nicola Mulberry; Simon Fraser University
  • Andrew M. Edwards; Pacific Biological Station, Fisheries and Oceans Canada
  • Jessica E. Stockdale; Simon Fraser University
  • Sarafa A. Iyaniwura; University of British Columbia
  • Rebeca C. Falcao; British Columbia Centre for Disease Control
  • Michael C. Otterstatter; British Columbia Centre for Disease Control
  • Naveed Z. Janjua; British Columbia Centre for Disease Control
  • Daniel Coombs; University of British Columbia
  • Caroline Colijn; Simon Fraser University
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20129833
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ABSTRACT
Following successful widespread non-pharmaceutical interventions aiming to control COVID-19, many jurisdictions are moving towards reopening economies and borders. Given that little immunity has developed in most populations, re-establishing higher contact rates within and between populations carries substantial risks. Using a Bayesian epidemiological model, we estimate the leeway to reopen in a range of national and regional jurisdictions that have experienced different COVID-19 epidemics. We estimate the risks associated with different levels of reopening and the likely burden of new cases due to introductions from other jurisdictions. We find widely varying leeway to reopen, high risks of exceeding past peak sizes, and high possible burdens per introduced case per week, up to hundreds in some jurisdictions. We recommend a cautious approach to reopening economies and borders, coupled with strong monitoring for changes in transmission.
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Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint