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Modeling waning and boosting of COVID-19 in Canada with vaccination.
Childs, Lauren; Dick, David W; Feng, Zhilan; Heffernan, Jane M; Li, Jing; Röst, Gergely.
Afiliação
  • Childs L; Mathematics, Center for Emerging and Zoonotic Pathogens, Virginia Tech, Blacksburg, VA, USA.
  • Dick DW; Mathematics and Statistics, Centre for Disease Modelling, York University, Toronto, Canada.
  • Feng Z; Mathematics, Purdue University, West Lafayette IN, USA; National Science Foundation, Alexandria, VA, USA.
  • Heffernan JM; Mathematics and Statistics, Centre for Disease Modelling, York University, Toronto, Canada. Electronic address: jmheffer@yorku.ca.
  • Li J; Mathematics, California State University, Northridge, CA, USA.
  • Röst G; Mathematics, University of Szeged, Szeged, Hungary.
Epidemics ; 39: 100583, 2022 06.
Article em En | MEDLINE | ID: mdl-35665614
ABSTRACT
SARS-CoV-2, the causative agent of COVID-19, has caused devastating health and economic impacts around the globe since its appearance in late 2019. The advent of effective vaccines leads to open questions on how best to vaccinate the population. To address such questions, we developed a model of COVID-19 infection by age that includes the waning and boosting of immunity against SARS-CoV-2 in the context of infection and vaccination. The model also accounts for changes to infectivity of the virus, such as public health mitigation protocols over time, increases in the transmissibility of variants of concern, changes in compliance to mask wearing and social distancing, and changes in testing rates. The model is employed to study public health mitigation and vaccination of the COVID-19 epidemic in Canada, including different vaccination programs (rollout by age), and delays between doses in a two-dose vaccine. We find that the decision to delay the second dose of vaccine is appropriate in the Canadian context. We also find that the benefits of a COVID-19 vaccination program in terms of reductions in infections is increased if vaccination of 15-19 year olds are included in the vaccine rollout.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article