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A mathematical model for the dynamics and control of malaria in Nigeria

Malaria is a life-threatening disease endemic in many African countries especially Nigeria. A mathematical model is used to study the dynamics of malaria in Nigeria. The model incorporates drug resistance, treatment, and the use of mosquito nets as preventive strategies. By fitting the model to data...

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Detalles Bibliográficos
Autores principales: Collins, O.C., Duffy, K.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661649/
https://www.ncbi.nlm.nih.gov/pubmed/36407847
http://dx.doi.org/10.1016/j.idm.2022.10.005
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author Collins, O.C.
Duffy, K.J.
author_facet Collins, O.C.
Duffy, K.J.
author_sort Collins, O.C.
collection PubMed
description Malaria is a life-threatening disease endemic in many African countries especially Nigeria. A mathematical model is used to study the dynamics of malaria in Nigeria. The model incorporates drug resistance, treatment, and the use of mosquito nets as preventive strategies. By fitting the model to data on the incidence of malaria in Nigeria, important parameters associated with the disease dynamics are estimated. Using these estimated parameters, the basic reproduction number is calculated, future dynamics simulated, and those parameters with a large impact on Nigerian malaria determined. Overall, the results indicate that the disease is likely to remain endemic in Nigeria unless better control measures are focused on the dominant resistant strain, treatment is improved and the use of mosquito nets become widespread.
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spelling pubmed-96616492022-11-18 A mathematical model for the dynamics and control of malaria in Nigeria Collins, O.C. Duffy, K.J. Infect Dis Model Article Malaria is a life-threatening disease endemic in many African countries especially Nigeria. A mathematical model is used to study the dynamics of malaria in Nigeria. The model incorporates drug resistance, treatment, and the use of mosquito nets as preventive strategies. By fitting the model to data on the incidence of malaria in Nigeria, important parameters associated with the disease dynamics are estimated. Using these estimated parameters, the basic reproduction number is calculated, future dynamics simulated, and those parameters with a large impact on Nigerian malaria determined. Overall, the results indicate that the disease is likely to remain endemic in Nigeria unless better control measures are focused on the dominant resistant strain, treatment is improved and the use of mosquito nets become widespread. KeAi Publishing 2022-11-05 /pmc/articles/PMC9661649/ /pubmed/36407847 http://dx.doi.org/10.1016/j.idm.2022.10.005 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Collins, O.C.
Duffy, K.J.
A mathematical model for the dynamics and control of malaria in Nigeria
title A mathematical model for the dynamics and control of malaria in Nigeria
title_full A mathematical model for the dynamics and control of malaria in Nigeria
title_fullStr A mathematical model for the dynamics and control of malaria in Nigeria
title_full_unstemmed A mathematical model for the dynamics and control of malaria in Nigeria
title_short A mathematical model for the dynamics and control of malaria in Nigeria
title_sort mathematical model for the dynamics and control of malaria in nigeria
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661649/
https://www.ncbi.nlm.nih.gov/pubmed/36407847
http://dx.doi.org/10.1016/j.idm.2022.10.005
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