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1.
Math Biosci ; 302: 80-99, 2018 08.
Artigo em Inglês | MEDLINE | ID: mdl-29800562

RESUMO

The plague disease model that include the effect of seasonal weather variation in its transmission is investigated in this paper. The disease is caused by an extremely virulent bacteria Yersinia pestis named after a French bacteriologist Alexandre Yersin. The analysis shows that, when the periodic reproduction number (RT) is greater than one there exist a globally asymptotically stable disease free equilibrium solution (DFS). Using fundamental existence-uniqueness theorem we were able to prove the existence of positive periodic solutions. The analysis further shows that when RT > 1 then there is at least one positive periodic solution. We additionally establish the conditions for global stability of periodic solutions of the model and finally using numerical simulation we depict the behavioral dynamics of plague disease and justify the theoretical solutions.


Assuntos
Modelos Biológicos , Peste/transmissão , Animais , Número Básico de Reprodução , Simulação por Computador , Vetores de Doenças , Humanos , Conceitos Matemáticos , Peste/epidemiologia , Roedores , Estações do Ano , Sifonápteros , Tempo (Meteorologia)
2.
Comput Math Methods Med ; 2014: 627586, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-24795775

RESUMO

A deterministic SEIR model of rift valley fever (RVF) with climate change parameters was considered to compute the basic reproduction number ℛ 0 and investigate the impact of temperature and precipitation on ℛ 0. To study the effect of model parameters to ℛ 0, sensitivity and elasticity analysis of ℛ 0 were performed. When temperature and precipitation effects are not considered, ℛ 0 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, ℛ 0 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.


Assuntos
Mudança Climática , Febre do Vale de Rift/transmissão , Vírus da Febre do Vale do Rift/genética , Aedes , Algoritmos , Animais , Número Básico de Reprodução , Insetos Vetores , Gado , Modelos Estatísticos , Probabilidade , Sensibilidade e Especificidade , Software
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