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      The impact of vaccination on COVID-19 outbreaks in the United States

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          Abstract

          Background

          Global vaccine development efforts have been accelerated in response to the devastating COVID-19 pandemic. We evaluated the impact of a 2-dose COVID-19 vaccination campaign on reducing incidence, hospitalizations, and deaths in the United States (US).

          Methods

          We developed an agent-based model of SARS-CoV-2 transmission and parameterized it with US demographics and age-specific COVID-19 outcomes. Healthcare workers and high-risk individuals were prioritized for vaccination, while children under 18 years of age were not vaccinated. We considered a vaccine efficacy of 95% against disease following 2 doses administered 21 days apart achieving 40% vaccine coverage of the overall population within 284 days. We varied vaccine efficacy against infection, and specified 10% pre-existing population immunity for the base-case scenario. The model was calibrated to an effective reproduction number of 1.2, accounting for current non-pharmaceutical interventions in the US.

          Results

          Vaccination reduced the overall attack rate to 4.6% (95% CrI: 4.3% - 5.0%) from 9.0% (95% CrI: 8.4% - 9.4%) without vaccination, over 300 days. The highest relative reduction (54-62%) was observed among individuals aged 65 and older. Vaccination markedly reduced adverse outcomes, with non-ICU hospitalizations, ICU hospitalizations, and deaths decreasing by 63.5% (95% CrI: 60.3% - 66.7%), 65.6% (95% CrI: 62.2% - 68.6%), and 69.3% (95% CrI: 65.5% - 73.1%), respectively, across the same period.

          Conclusions

          Our results indicate that vaccination can have a substantial impact on mitigating COVID-19 outbreaks, even with limited protection against infection. However, continued compliance with non-pharmaceutical interventions is essential to achieve this impact.

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          Author and article information

          Journal
          Clin Infect Dis
          Clin Infect Dis
          cid
          Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
          Oxford University Press (US )
          1058-4838
          1537-6591
          30 January 2021
          : ciab079
          Affiliations
          [1 ] Agent-Based Modelling Laboratory, York University, Toronto , Ontario, Canada
          [2 ] Institute of Mathematics, Statistics and Scientific Computing, University of Campinas , Campinas SP, Brazil
          [3 ] Faculty of Medicine, University of Toronto, Toronto , Ontario, Canada
          [4 ] Center for Infectious Disease Modeling and Analysis (CIDMA), Yale School of Public Health, New Haven , Connecticut, USA
          [5 ] Emerging Pathogens Institute, University of Florida, Gainesville , FL, USA
          [6 ] Center for Vaccine Development and Global Health, University of Maryland School of Medicine, 685 W Baltimore St , Baltimore, MD, USA
          [7 ] Department of Integrative Biology, The University of Texas at Austin , Austin, TX, USA
          [8 ] Canadian Center for Vaccinology, Dalhousie University, IWK Health Centre and Nova Scotia Health Authority , Halifax, Nova Scotia, Canada
          Author notes
          Corresponding author: Seyed M. Moghadas, e-mail: moghadas@ 123456yorku.ca

          These authors have contributed equally

          Author information
          http://orcid.org/0000-0003-4414-0227
          Article
          ciab079
          10.1093/cid/ciab079
          7929033
          33515252
          abb3ced3-b37d-4d1d-9234-982121e0fca5
          © The Author(s) 2021. Published by Oxford University Press for the Infectious Diseases Society of America.

          This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence ( http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

          History
          : 25 November 2020
          Categories
          Major Article
          AcademicSubjects/MED00290
          Custom metadata
          PAP
          accepted-manuscript

          Infectious disease & Microbiology
          covid-19,sars-cov-2,vaccines,outbreak simulation,united states,pandemic

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