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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Main Authors: Saul C. Mpeshe, Livingstone S. Luboobi, Yaw Nkansah-Gyekye
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Computational and Mathematical Methods in Medicine
Online Access:http://dx.doi.org/10.1155/2014/627586
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spelling 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
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