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COVID-19 vaccines that reduce symptoms but do not block infection need higher coverage and faster rollout to achieve population impact
David A Swan; Chloe Bracis; Holly Janes; Mia Moore; Laura Matrajt; Daniel B Reeves; Eileen Burns; Deborah Donnell; Myron S Cohen; Joshua Schiffer; Dobromir T Dimitrov.
Afiliação
  • David A Swan; Fred Hutchinson Cancer Research Center
  • Chloe Bracis; Université Grenoble Alpes
  • Holly Janes; Fred Hutchinson Cancer Research Center
  • Mia Moore; Fred Hutchinson Cancer Research Center
  • Laura Matrajt; Fred Hutchinson Cancer Research Center
  • Daniel B Reeves; Fred Hutchinson Cancer Research Center
  • Eileen Burns; Independent Researcher
  • Deborah Donnell; Fred Hutchinson Cancer Research Center
  • Myron S Cohen; University of North Carolina at Chapel Hill
  • Joshua Schiffer; Fred Hutchinson Cancer Research Center
  • Dobromir T Dimitrov; Fred Hutchinson Cancer Research Center
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20248142
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ABSTRACT
BackgroundSeveral COVID-19 vaccine candidates are in the final stage of testing. Interim trial results for two vaccines suggest at least 90% efficacy against symptomatic disease (VEDIS). It remains unknown whether this efficacy is mediated predominately by lowering SARS-CoV-2 infection susceptibility (VESUSC) or development of symptoms after infection (VESYMP). A vaccine with high VESYMP but low VESUSC has uncertain population impact. MethodsWe developed a mathematical model of SARS-CoV-2 transmission, calibrated to demographic, physical distancing and epidemic data from King County, Washington. Different rollout scenarios starting December 2020 were simulated assuming different combinations of VESUSC and VESYMP resulting in up to 100% VEDIS with constant vaccine effects over 1 year. We assumed no further increase in physical distancing despite expanding case numbers and no reduction of infectivity upon infection conditional on presence of symptoms. Proportions of cumulative infections, hospitalizations and deaths prevented over 1 year from vaccination start are reported. ResultsRollouts of 1M vaccinations (5,000 daily) using vaccines with 50% VEDIS are projected to prevent 30%-58% of infections and 38%-58% of deaths over one year. In comparison, vaccines with 90% VEDIS are projected to prevent 47%-78% of the infections and 58%-77% of deaths over one year. In both cases, there is a greater reduction if VEDIS is mediated mostly by VESUSC. The use of a "symptom reducing" vaccine will require twice as many people vaccinated than a "susceptibility reducing" vaccine with the same 90% VEDIS to prevent 50% of the infections and death over one year. Delaying the start of the vaccination by 3 months decreases the expected population impact by approximately 40%. ConclusionsVaccines which prevent COVID-19 disease but not SARS-CoV-2 infection, and thereby shift symptomatic infections to asymptomatic infections, will prevent fewer infections and require larger and faster vaccination rollouts to have population impact, compared to vaccines that reduce susceptibility to infection. If uncontrolled transmission across the U.S. continues, then expected vaccination in Spring 2021 will provide only limited benefit.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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