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Towards malaria control and elimination in Ghana: challenges and decision making tools to guide planning

Ghana is classified as being in the malaria control phase, according to the global malaria elimination program. With many years of policy development and control interventions, malaria specific mortality among children less than 5 years old has declined from 14.4% in 2000 to 0.6% in 2012. However, t...

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Autores principales: Awine, Timothy, Malm, Keziah, Bart-Plange, Constance, Silal, Sheetal P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5678345/
https://www.ncbi.nlm.nih.gov/pubmed/29035160
http://dx.doi.org/10.1080/16549716.2017.1381471
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author Awine, Timothy
Malm, Keziah
Bart-Plange, Constance
Silal, Sheetal P.
author_facet Awine, Timothy
Malm, Keziah
Bart-Plange, Constance
Silal, Sheetal P.
author_sort Awine, Timothy
collection PubMed
description Ghana is classified as being in the malaria control phase, according to the global malaria elimination program. With many years of policy development and control interventions, malaria specific mortality among children less than 5 years old has declined from 14.4% in 2000 to 0.6% in 2012. However, the same level of success has not been achieved with malaria morbidity. The recently adopted 2015–2020 Ghana strategic action plan aims to reduce the burden of malaria by 75.0%. Planning and policy development has always been guided by evidence from field studies, and mathematical models that are able to investigate malaria transmission dynamics have not played a significant role in supporting policy development. The objectives of this study are to describe the malaria situation in Ghana and give a brief account of how mathematical modelling techniques could support a more informed malaria control effort in the Ghanaian context. A review is carried out of some mathematical models investigating the dynamics of malaria transmission in sub-Saharan African countries, including Ghana. The applications of these models are then discussed, considering the gaps that still remain in Ghana for which further mathematical model development could be supportive. Because of the collaborative approach adopted in their development, some model examples Ghana could benefit from are also discussed. Collaboration between malaria control experts and modellers will allow for more appropriate mathematical models to be developed. Packaging these models with user-friendly interfaces and making them available at various levels of malaria control management could help provide the decision making tools needed for planning and a platform for monitoring and evaluation of interventions in Ghana.
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spelling pubmed-56783452017-11-17 Towards malaria control and elimination in Ghana: challenges and decision making tools to guide planning Awine, Timothy Malm, Keziah Bart-Plange, Constance Silal, Sheetal P. Glob Health Action Study Design Article Ghana is classified as being in the malaria control phase, according to the global malaria elimination program. With many years of policy development and control interventions, malaria specific mortality among children less than 5 years old has declined from 14.4% in 2000 to 0.6% in 2012. However, the same level of success has not been achieved with malaria morbidity. The recently adopted 2015–2020 Ghana strategic action plan aims to reduce the burden of malaria by 75.0%. Planning and policy development has always been guided by evidence from field studies, and mathematical models that are able to investigate malaria transmission dynamics have not played a significant role in supporting policy development. The objectives of this study are to describe the malaria situation in Ghana and give a brief account of how mathematical modelling techniques could support a more informed malaria control effort in the Ghanaian context. A review is carried out of some mathematical models investigating the dynamics of malaria transmission in sub-Saharan African countries, including Ghana. The applications of these models are then discussed, considering the gaps that still remain in Ghana for which further mathematical model development could be supportive. Because of the collaborative approach adopted in their development, some model examples Ghana could benefit from are also discussed. Collaboration between malaria control experts and modellers will allow for more appropriate mathematical models to be developed. Packaging these models with user-friendly interfaces and making them available at various levels of malaria control management could help provide the decision making tools needed for planning and a platform for monitoring and evaluation of interventions in Ghana. Taylor & Francis 2017-10-16 /pmc/articles/PMC5678345/ /pubmed/29035160 http://dx.doi.org/10.1080/16549716.2017.1381471 Text en © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Study Design Article
Awine, Timothy
Malm, Keziah
Bart-Plange, Constance
Silal, Sheetal P.
Towards malaria control and elimination in Ghana: challenges and decision making tools to guide planning
title Towards malaria control and elimination in Ghana: challenges and decision making tools to guide planning
title_full Towards malaria control and elimination in Ghana: challenges and decision making tools to guide planning
title_fullStr Towards malaria control and elimination in Ghana: challenges and decision making tools to guide planning
title_full_unstemmed Towards malaria control and elimination in Ghana: challenges and decision making tools to guide planning
title_short Towards malaria control and elimination in Ghana: challenges and decision making tools to guide planning
title_sort towards malaria control and elimination in ghana: challenges and decision making tools to guide planning
topic Study Design Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5678345/
https://www.ncbi.nlm.nih.gov/pubmed/29035160
http://dx.doi.org/10.1080/16549716.2017.1381471
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