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Mathematical analysis to prioritise strategies for malaria elimination

Malaria and some other tropical diseases are currently targeted for elimination and eventually eradication. Since resources are limited, prioritisation of countries or areas for elimination is often necessary. However, this prioritisation is frequently conducted in an ad hoc manner. Lower transmissi...

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Detalles Bibliográficos
Autores principales: Chitnis, Nakul, Schapira, Allan, Schindler, Christian, Penny, Melissa A., Smith, Thomas A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117457/
https://www.ncbi.nlm.nih.gov/pubmed/30006002
http://dx.doi.org/10.1016/j.jtbi.2018.07.007
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author Chitnis, Nakul
Schapira, Allan
Schindler, Christian
Penny, Melissa A.
Smith, Thomas A.
author_facet Chitnis, Nakul
Schapira, Allan
Schindler, Christian
Penny, Melissa A.
Smith, Thomas A.
author_sort Chitnis, Nakul
collection PubMed
description Malaria and some other tropical diseases are currently targeted for elimination and eventually eradication. Since resources are limited, prioritisation of countries or areas for elimination is often necessary. However, this prioritisation is frequently conducted in an ad hoc manner. Lower transmission areas are usually targeted for elimination first, but for some areas this necessitates long and potentially expensive surveillance programs while transmission is eliminated from neighbouring higher transmission areas. We use a mathematical model to compare the implications of prioritisation choices in reducing overall burden and costs. We show that when the duration of the elimination program is independent of the transmission potential, burden is always reduced most by targeting high transmission areas first, but to reduce costs the optimal ordering depends on the actual transmission levels. In general, when overall transmission potential is low and the surveillance cost per secondary case compared to the cost per imported case is low, targeting the higher transmission area for elimination first is favoured.
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spelling pubmed-61174572018-10-14 Mathematical analysis to prioritise strategies for malaria elimination Chitnis, Nakul Schapira, Allan Schindler, Christian Penny, Melissa A. Smith, Thomas A. J Theor Biol Article Malaria and some other tropical diseases are currently targeted for elimination and eventually eradication. Since resources are limited, prioritisation of countries or areas for elimination is often necessary. However, this prioritisation is frequently conducted in an ad hoc manner. Lower transmission areas are usually targeted for elimination first, but for some areas this necessitates long and potentially expensive surveillance programs while transmission is eliminated from neighbouring higher transmission areas. We use a mathematical model to compare the implications of prioritisation choices in reducing overall burden and costs. We show that when the duration of the elimination program is independent of the transmission potential, burden is always reduced most by targeting high transmission areas first, but to reduce costs the optimal ordering depends on the actual transmission levels. In general, when overall transmission potential is low and the surveillance cost per secondary case compared to the cost per imported case is low, targeting the higher transmission area for elimination first is favoured. Elsevier 2018-10-14 /pmc/articles/PMC6117457/ /pubmed/30006002 http://dx.doi.org/10.1016/j.jtbi.2018.07.007 Text en © 2018 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chitnis, Nakul
Schapira, Allan
Schindler, Christian
Penny, Melissa A.
Smith, Thomas A.
Mathematical analysis to prioritise strategies for malaria elimination
title Mathematical analysis to prioritise strategies for malaria elimination
title_full Mathematical analysis to prioritise strategies for malaria elimination
title_fullStr Mathematical analysis to prioritise strategies for malaria elimination
title_full_unstemmed Mathematical analysis to prioritise strategies for malaria elimination
title_short Mathematical analysis to prioritise strategies for malaria elimination
title_sort mathematical analysis to prioritise strategies for malaria elimination
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117457/
https://www.ncbi.nlm.nih.gov/pubmed/30006002
http://dx.doi.org/10.1016/j.jtbi.2018.07.007
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