Modeling the Impact of Climate Change on the Dynamics of Rift Valley Fever
A deterministic SEIR model of rift valley fever (RVF) with climate change parameters was considered to compute the basic reproduction number ℛ0 and investigate the impact of temperature and precipitation on ℛ0. To study the effect of model parameters to ℛ0, sensitivity and elasticity analysis of ℛ0...
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Series: | Computational and Mathematical Methods in Medicine |
Online Access: | http://dx.doi.org/10.1155/2014/627586 |
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doaj-fae981fa51bf440fae6601395db16cc62020-11-24T21:07:33ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182014-01-01201410.1155/2014/627586627586Modeling the Impact of Climate Change on the Dynamics of Rift Valley FeverSaul C. Mpeshe0Livingstone S. Luboobi1Yaw Nkansah-Gyekye2School of CoCSE, Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, TanzaniaSchool of CoCSE, Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, TanzaniaSchool of CoCSE, Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, TanzaniaA deterministic SEIR model of rift valley fever (RVF) with climate change parameters was considered to compute the basic reproduction number ℛ0 and investigate the impact of temperature and precipitation on ℛ0. To study the effect of model parameters to ℛ0, sensitivity and elasticity analysis of ℛ0 were performed. When temperature and precipitation effects are not considered, ℛ0 is more sensitive to the expected number of infected Aedes spp. due to one infected livestock and more elastic to the expected number of infected livestock due to one infected Aedes spp. When climatic data are used, ℛ0 is found to be more sensitive and elastic to the expected number of infected eggs laid by Aedes spp. via transovarial transmission, followed by the expected number of infected livestock due to one infected Aedes spp. and the expected number of infected Aedes spp. due to one infected livestock for both regions Arusha and Dodoma. These results call for attention to parameters regarding incubation period, the adequate contact rate of Aedes spp. and livestock, the infective periods of livestock and Aedes spp., and the vertical transmission in Aedes species.http://dx.doi.org/10.1155/2014/627586 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Saul C. Mpeshe Livingstone S. Luboobi Yaw Nkansah-Gyekye |
spellingShingle |
Saul C. Mpeshe Livingstone S. Luboobi Yaw Nkansah-Gyekye Modeling the Impact of Climate Change on the Dynamics of Rift Valley Fever Computational and Mathematical Methods in Medicine |
author_facet |
Saul C. Mpeshe Livingstone S. Luboobi Yaw Nkansah-Gyekye |
author_sort |
Saul C. Mpeshe |
title |
Modeling the Impact of Climate Change on the Dynamics of Rift Valley Fever |
title_short |
Modeling the Impact of Climate Change on the Dynamics of Rift Valley Fever |
title_full |
Modeling the Impact of Climate Change on the Dynamics of Rift Valley Fever |
title_fullStr |
Modeling the Impact of Climate Change on the Dynamics of Rift Valley Fever |
title_full_unstemmed |
Modeling the Impact of Climate Change on the Dynamics of Rift Valley Fever |
title_sort |
modeling the impact of climate change on the dynamics of rift valley fever |
publisher |
Hindawi Limited |
series |
Computational and Mathematical Methods in Medicine |
issn |
1748-670X 1748-6718 |
publishDate |
2014-01-01 |
description |
A deterministic SEIR model of rift valley fever (RVF) with climate change parameters was considered to compute the basic reproduction number ℛ0 and investigate the impact of temperature and precipitation on ℛ0. To study the effect of model parameters to ℛ0, sensitivity and elasticity analysis of ℛ0 were performed. When temperature and precipitation effects are not considered, ℛ0 is more sensitive to the expected number of infected Aedes spp. due to one infected livestock and more elastic to the expected number of infected livestock due to one infected Aedes spp. When climatic data are used, ℛ0 is found to be more sensitive and elastic to the expected number of infected eggs laid by Aedes spp. via transovarial transmission, followed by the expected number of infected livestock due to one infected Aedes spp. and the expected number of infected Aedes spp. due to one infected livestock for both regions Arusha and Dodoma. These results call for attention to parameters regarding incubation period, the adequate contact rate of Aedes spp. and livestock, the infective periods of livestock and Aedes spp., and the vertical transmission in Aedes species. |
url |
http://dx.doi.org/10.1155/2014/627586 |
work_keys_str_mv |
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