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Follow up estimation of Aedes aegypti entomological parameters and mathematical modellings.
Yang, Hyun Mo; Macoris, Maria de Lourdes da Graça; Galvani, Karen Cristina; Andrighetti, Maria Teresa Macoris.
Afiliação
  • Yang HM; UNICAMP - IMECC, Departamento de Matemática Aplicada, Campinas, SP, Brazil. hyunyang@ime.unicamp.br
Biosystems ; 103(3): 360-71, 2011 Mar.
Article em En | MEDLINE | ID: mdl-21093536
ABSTRACT
The dengue virus is a vector-borne disease transmitted by mosquito Aedes aegypti and the incidence is strongly influenced by temperature and humidity which vary seasonally. To assess the effects of temperature on dengue transmission, mathematical models are developed based on the population dynamics theory. However, depending on the hypotheses of the modelling, different outcomes regarding to the risk of epidemics are obtained. We address this question comparing two simple models supplied with model's parameters estimated from temperature-controlled experiments, especially the entomological parameters regarded to the mosquito's life cycle in different temperatures. Once obtained the mortality and transition rates of different stages comprising the life cycle of mosquito and the oviposition rate, we compare the capacity of vector reproduction (the basic offspring number) and the risk of infection (basic reproduction number) provided by two models. The extended model, which is more realistic, showed that both mosquito population and dengue risk are situated at higher values than the simplified model, even that the basic offspring number is lower.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aedes / Dengue / Vírus da Dengue / Insetos Vetores / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Biosystems Ano de publicação: 2011 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aedes / Dengue / Vírus da Dengue / Insetos Vetores / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Biosystems Ano de publicação: 2011 Tipo de documento: Article País de afiliação: Brasil