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Diversity of hysteresis in a fully cooperative coinfection model.
Rodríguez, Jorge P; Liang, Yu-Hao; Huang, Yu-Jhe; Juang, Jonq.
Afiliação
  • Rodríguez JP; Instituto de Física Interdisciplinary Sistemas Complejos IFISC (CSIC-UIB), 07122 Palma de Mallorca, Spain.
  • Liang YH; Department of Applied Mathematics, National Chiao Tung University, 300 Hsinchu, Taiwan.
  • Huang YJ; Department of Applied Mathematics, National Chiao Tung University, 300 Hsinchu, Taiwan.
  • Juang J; Department of Applied Mathematics, National Chiao Tung University, 300 Hsinchu, Taiwan.
Chaos ; 28(2): 023107, 2018 Feb.
Article em En | MEDLINE | ID: mdl-29495668
ABSTRACT
We propose a fully cooperative coinfection model in which singly infected individuals are more likely to acquire a second disease than susceptible ones and doubly infected individuals are also assumed to be more contagious than singly infected ones. The dynamics of such a fully cooperative coinfection model is investigated through the well-mixed approach. In particular, discontinuous outbreak transitions from the disease free state or the low prevalence state to the high prevalence state can be separately observed as a disease transmission rate crosses a threshold αo from the below when the epidemic is still in the early stages. Moreover, discontinuous eradications from the high prevalence state to the low prevalence or disease free state are also separately seen as the transmission rate reaches a threshold αe(<αo) from the above when the outbreak occurs. Such phenomena constitute three types of hysteresis, where only one type has been identified before. Complete characterization of these three types of hysteresis in terms of parameters measuring the uniformity of the model is both analytically and numerically provided.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Surtos de Doenças / Coinfecção / Modelos Biológicos Tipo de estudo: Prevalence_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Surtos de Doenças / Coinfecção / Modelos Biológicos Tipo de estudo: Prevalence_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article