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Age-differentiated incentives for adaptive behavior during epidemics produce oscillatory and chaotic dynamics.
Arthur, Ronan F; Levin, May; Labrogere, Alexandre; Feldman, Marcus W.
Afiliação
  • Arthur RF; School of Medicine, Stanford University, Stanford, California, United States of America.
  • Levin M; Department of Biology, Stanford University, Stanford, California, United States of America.
  • Labrogere A; Department of Management Science & Engineering, Stanford University, Stanford, California, United States of America.
  • Feldman MW; Department of Biology, Stanford University, Stanford, California, United States of America.
PLoS Comput Biol ; 19(9): e1011217, 2023 09.
Article em En | MEDLINE | ID: mdl-37669282
Heterogeneity in contact patterns, mortality rates, and transmissibility among and between different age classes can have significant effects on epidemic outcomes. Adaptive behavior in response to the spread of an infectious pathogen may give rise to complex epidemiological dynamics. Here we model an infectious disease in which adaptive behavior incentives, and mortality rates, can vary between two and three age classes. The model indicates that age-dependent variability in infection aversion can produce more complex epidemic dynamics at lower levels of pathogen transmissibility and that those at less risk of infection can still drive complexity in the dynamics of those at higher risk of infection. Policymakers should consider the interdependence of such heterogeneous groups when making decisions.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epidemias / Motivação Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epidemias / Motivação Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article