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Comparing vector–host and SIR models for dengue transmission

ScholarsArchive at Oregon State University

Field Value
Title Comparing vector–host and SIR models for dengue transmission
Names Pandey, Abhishek (creator)
Mubayi, Anuj (creator)
Medlock, Jan (creator)
Date Issued 2013-12 (iso8601)
Note This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Elsevier and can be found at: http://www.journals.elsevier.com/mathematical-biosciences/.
Abstract Various simple mathematical models have been used to investigate dengue transmission. Some of these models explicitly model the mosquito population, while others model the mosquitoes implicitly in the transmission term. We study the impact of modeling assumptions on the dynamics of dengue in Thailand by fitting dengue hemorrhagic fever (DHF) data to simple vector–host and SIR models using Bayesian Markov chain Monte Carlo estimation. The parameter estimates obtained for both models were consistent with previous studies. Most importantly, model selection found that the SIR model was substantially better than the vector–host model for the DHF data from Thailand. Therefore, explicitly incorporating the mosquito population may not be necessary in modeling dengue transmission for some populations.
Genre Article
Topic Dengue
Identifier Pandey, A., Mubayi, A., & Medlock, J. (2013). Comparing vector-host and SIR models for dengue transmission. Mathematical Biosciences, 246(2), 252-259. doi:10.1016/j.mbs.2013.10.007

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