Comparing vector-host and SIR models for dengue transmission

Abhishek Pandey, Anuj Mubayi, Jan Medlock

Research output: Contribution to journalArticlepeer-review

69 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)252-259
Number of pages8
JournalMathematical Biosciences
Issue number2
StatePublished - Dec 2013
Externally publishedYes


  • Dengue
  • Markov chain Monte Carlo (MCMC)
  • Mathematical model
  • Parameter estimation

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology
  • General Agricultural and Biological Sciences
  • Applied Mathematics


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