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dc.contributor.advisorSianturi, Paian
dc.contributor.advisorArdana, N.K. Kutha
dc.contributor.authorJumadi
dc.date.accessioned2010-04-30T01:58:32Z
dc.date.available2010-04-30T01:58:32Z
dc.date.issued2008
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/9754
dc.description.abstractDengue disease was transmitted to human through infected mosquito Aedes Aegypti. It was found widely in the tropical regions of the world. Infection of dengue virus could be grouped into two mechanisms. The first mechanism was vertical transmission in mosquito body, where virus could be transmitted by female mosquito into her eggs. The second mechanism was transmission from mosquito into human body and conversely. In this study, mathematical models were used to study the behavior of the transmission of dengue disease. The mathematical model of the disease with assumption of healthy mosquito eggs was compared to the modified mathematical model of dengue disease assuming that some of mosquito eggs were infected by dengue virus. The seasonal influence, especially temperature, was considered in the analysis. The standard dynamical analysis was applied to both mathematical models. Numerical results showed that infected mosquito eggs influenced the spreading of dengue disease. There were bigger oscillation in the susceptible and infected human population, as well as in the infected mosquito, as a result of stronger seasonal influence during extrinsic incubation.id
dc.publisherIPB (Bogor Agricultural University)
dc.titleModel Matematika Penyebaran Penyakit Demam Berdarah Dengueid
dc.subject.keywordDengue disease
dc.subject.keywordMathematical model
dc.subject.keywordEtrinsic incubation period
dc.subject.keywordDBD
dc.subject.keywordSistem persamaan diferensial
dc.subject.keywordTitik tetap
dc.subject.keywordPelinieran
dc.subject.keywordMulti spesies
dc.subject.keywordKriteria Routh-Hurwitz
dc.subject.keywordSolusi numerik sistem persamaan diferensial
dc.subject.keywordAnalisis kestabilan
dc.subject.keywordSimulasi model
Appears in Collections:MT - Mathematics and Natural Science

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