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Analysis of yellow fever prevention strategy from the perspective of mathematical model and cost-effectiveness analysis.
Handari, Bevina D; Aldila, Dipo; Dewi, Bunga O; Rosuliyana, Hanna; Khosnaw, Sarbaz H A.
Afiliação
  • Handari BD; Department of Mathematics, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia.
  • Aldila D; Department of Mathematics, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia.
  • Dewi BO; Department of Mathematics, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia.
  • Rosuliyana H; Department of Mathematics, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia.
  • Khosnaw SHA; Department of Mathematics, University of Raparin, Ranya 46012, Kurdistan Region of Iraq.
Math Biosci Eng ; 19(2): 1786-1824, 2022 01.
Article em En | MEDLINE | ID: mdl-35135229
We developed a new mathematical model for yellow fever under three types of intervention strategies: vaccination, hospitalization, and fumigation. Additionally, the side effects of the yellow fever vaccine were also considered in our model. To analyze the best intervention strategies, we constructed our model as an optimal control model. The stability of the equilibrium points and basic reproduction number of the model are presented. Our model indicates that when yellow fever becomes endemic or disappears from the population, it depends on the value of the basic reproduction number, whether it larger or smaller than one. Using the Pontryagin maximum principle, we characterized our optimal control problem. From numerical experiments, we show that the optimal levels of each control must be justified, depending on the strategies chosen to optimally control the spread of yellow fever.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Febre Amarela Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Humans Idioma: En Revista: Math Biosci Eng Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Indonésia País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Febre Amarela Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Humans Idioma: En Revista: Math Biosci Eng Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Indonésia País de publicação: Estados Unidos