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Individual variation in susceptibility or exposure to SARS-CoV-2 lowers the herd immunity threshold.
Gomes, M Gabriela M; Ferreira, Marcelo U; Corder, Rodrigo M; King, Jessica G; Souto-Maior, Caetano; Penha-Gonçalves, Carlos; Gonçalves, Guilherme; Chikina, Maria; Pegden, Wesley; Aguas, Ricardo.
Afiliación
  • Gomes MGM; Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK; Centro de Matemática e Aplicações, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal.
  • Ferreira MU; Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil; Global Health and Tropical Medicine, Institute of Hygiene and Tropical Medicine, Nova University of Lisbon, Lisbon, Portugal.
  • Corder RM; Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
  • King JG; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.
  • Souto-Maior C; Laboratory of Systems Genetics, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
  • Penha-Gonçalves C; Instituto Gulbenkian de Ciência, Oeiras, Portugal.
  • Gonçalves G; Unidade Multidisciplinar de Investigação Biomédica, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal.
  • Chikina M; Department of Computational and Systems Biology, University of Pittsburgh, Pittburgh, PA, USA.
  • Pegden W; Department of Mathematical Sciences, Carnegie Mellon University, Pittburgh, PA, USA.
  • Aguas R; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
J Theor Biol ; 540: 111063, 2022 05 07.
Article en En | MEDLINE | ID: mdl-35189135
ABSTRACT
Individual variation in susceptibility and exposure is subject to selection by natural infection, accelerating the acquisition of immunity, and reducing herd immunity thresholds and epidemic final sizes. This is a manifestation of a wider population phenomenon known as "frailty variation". Despite theoretical understanding, public health policies continue to be guided by mathematical models that leave out considerable variation and as a result inflate projected disease burdens and overestimate the impact of interventions. Here we focus on trajectories of the coronavirus disease (COVID-19) pandemic in England and Scotland until November 2021. We fit models to series of daily deaths and infer relevant epidemiological parameters, including coefficients of variation and effects of non-pharmaceutical interventions which we find in agreement with independent empirical estimates based on contact surveys. Our estimates are robust to whether the analysed data series encompass one or two pandemic waves and enable projections compatible with subsequent dynamics. We conclude that vaccination programmes may have contributed modestly to the acquisition of herd immunity in populations with high levels of pre-existing naturally acquired immunity, while being crucial to protect vulnerable individuals from severe outcomes as the virus becomes endemic.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Qualitative_research Límite: Humans Idioma: En Revista: J Theor Biol Año: 2022 Tipo del documento: Article País de afiliación: Portugal

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Qualitative_research Límite: Humans Idioma: En Revista: J Theor Biol Año: 2022 Tipo del documento: Article País de afiliación: Portugal