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Revealing Decision-Making Strategies of Americans in Taking COVID-19 Vaccination.
Aghaeeyan, Azadeh; Ramazi, Pouria; Lewis, Mark A.
Afiliación
  • Aghaeeyan A; Department of Mathematics and Statistics, Brock University, St. Catharines, ON, Canada. aaghaeeyan@brocku.ca.
  • Ramazi P; Department of Mathematics and Statistics, Brock University, St. Catharines, ON, Canada.
  • Lewis MA; Department of Mathematics and Statistics and Department of Biology, University of Victoria, Victoria, BC, Canada.
Bull Math Biol ; 86(6): 72, 2024 May 10.
Article en En | MEDLINE | ID: mdl-38727916
ABSTRACT
Efficient coverage for newly developed vaccines requires knowing which groups of individuals will accept the vaccine immediately and which will take longer to accept or never accept. Of those who may eventually accept the vaccine, there are two main types success-based learners, basing their decisions on others' satisfaction, and myopic rationalists, attending to their own immediate perceived benefit. We used COVID-19 vaccination data to fit a mechanistic model capturing the distinct effects of the two types on the vaccination progress. We proved the identifiability of the population proportions of each type and estimated that 47 % of Americans behaved as myopic rationalists with a high variation across the jurisdictions, from 31 % in Mississippi to 76 % in Vermont. The proportion was correlated with the vaccination coverage, proportion of votes in favor of Democrats in 2020 presidential election, and education score.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Toma de Decisiones / Conceptos Matemáticos / Vacunas contra la COVID-19 / COVID-19 Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Bull Math Biol Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Toma de Decisiones / Conceptos Matemáticos / Vacunas contra la COVID-19 / COVID-19 Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Bull Math Biol Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos