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Reframing Optimal Control Problems for Infectious Disease Management in Low-Income Countries.
Igoe, Morganne; Casagrandi, Renato; Gatto, Marino; Hoover, Christopher M; Mari, Lorenzo; Ngonghala, Calistus N; Remais, Justin V; Sanchirico, James N; Sokolow, Susanne H; Lenhart, Suzanne; de Leo, Giulio.
Afiliação
  • Igoe M; Department of Mathematics, University of Tennessee, Knoxville, TN, USA. migoe@utk.edu.
  • Casagrandi R; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
  • Gatto M; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
  • Hoover CM; Division of Environmental Health Sciences, University of California, Berkeley, Berkeley, CA, USA.
  • Mari L; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
  • Ngonghala CN; Department of Mathematics, University of Florida, Gainesville, FL, USA.
  • Remais JV; Division of Environmental Health Sciences, University of California, Berkeley, Berkeley, CA, USA.
  • Sanchirico JN; Environmental Science and Policy, University of California, Davis, Davis, CA, USA.
  • Sokolow SH; Stanford Program for Diseases Ecology, Health and the Environment, Stanford University, Pacific Grove, CA, USA.
  • Lenhart S; Department of Mathematics, University of Tennessee, Knoxville, TN, USA.
  • de Leo G; Department of Earth System Science and Department of Oceans, Hopkins Marine Station, Stanford Doerr School of Sustainability, Stanford University, Pacific Grove, CA, USA.
Bull Math Biol ; 85(4): 31, 2023 03 12.
Article em En | MEDLINE | ID: mdl-36907932
ABSTRACT
Optimal control theory can be a useful tool to identify the best strategies for the management of infectious diseases. In most of the applications to disease control with ordinary differential equations, the objective functional to be optimized is formulated in monetary terms as the sum of intervention costs and the cost associated with the burden of disease. We present alternate formulations that express epidemiological outcomes via health metrics and reframe the problem to include features such as budget constraints and epidemiological targets. These alternate formulations are illustrated with a compartmental cholera model. The alternate formulations permit us to better explore the sensitivity of the optimal control solutions to changes in available budget or the desired epidemiological target. We also discuss some limitations of comprehensive cost assessment in epidemiology.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article