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Variant-specific interventions to slow down replacement and prevent outbreaks.
Majeed, Bushra; Tosato, Marco; Wu, Jianhong.
  • Majeed B; Laboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Canada.
  • Tosato M; Laboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Canada.
  • Wu J; Laboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Canada. Electronic address: wujh@yorku.ca.
Math Biosci ; 343: 108703, 2022 01.
Article in English | MEDLINE | ID: covidwho-1525878
ABSTRACT
Emergency and establishment of variants of concern (VOC) impose significant challenges for the COVID-19 pandemic control specially when a large portion of the population has not been fully vaccinated. Here we develop a mathematical model and utilize this model to examine the impact of non pharmaceutical interventions, including the COVID-test (PCR, antigen and antibody test) and whole genome sequencing (WGS) test capacity and contact tracing and quarantine strength, on the VOC-induced epidemic wave. We point out the undesirable and unexpected effect of lukewarm tracing and quarantine that can potentially increase the VOC-cases at the outbreak peak time, and we demonstrate the significance of strain-specific interventions to either prevent a VOC-induced outbreak, or to mitigate the epidemic wave when this outbreak is unavoidable.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Experimental Studies / Observational study Topics: Vaccines / Variants Limits: Humans Language: English Journal: Math Biosci Year: 2022 Document Type: Article Affiliation country: J.mbs.2021.108703

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Experimental Studies / Observational study Topics: Vaccines / Variants Limits: Humans Language: English Journal: Math Biosci Year: 2022 Document Type: Article Affiliation country: J.mbs.2021.108703