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Reframing Optimal Control Problems for Infectious Disease Management in Low-Income Countries
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 intervent...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008208/ https://www.ncbi.nlm.nih.gov/pubmed/36907932 http://dx.doi.org/10.1007/s11538-023-01137-4 |
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author | 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 |
author_facet | 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 |
author_sort | Igoe, Morganne |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10008208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-100082082023-03-13 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 Bull Math Biol Perspectives 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. Springer US 2023-03-12 2023 /pmc/articles/PMC10008208/ /pubmed/36907932 http://dx.doi.org/10.1007/s11538-023-01137-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Perspectives 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 Reframing Optimal Control Problems for Infectious Disease Management in Low-Income Countries |
title | Reframing Optimal Control Problems for Infectious Disease Management in Low-Income Countries |
title_full | Reframing Optimal Control Problems for Infectious Disease Management in Low-Income Countries |
title_fullStr | Reframing Optimal Control Problems for Infectious Disease Management in Low-Income Countries |
title_full_unstemmed | Reframing Optimal Control Problems for Infectious Disease Management in Low-Income Countries |
title_short | Reframing Optimal Control Problems for Infectious Disease Management in Low-Income Countries |
title_sort | reframing optimal control problems for infectious disease management in low-income countries |
topic | Perspectives |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008208/ https://www.ncbi.nlm.nih.gov/pubmed/36907932 http://dx.doi.org/10.1007/s11538-023-01137-4 |
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