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Individual-level modeling of the spread of influenza within households

Author

Listed:
  • Rajat Malik
  • Rob Deardon
  • Grace P.S. Kwong
  • Benjamin J. Cowling

Abstract

A class of individual-level models (ILMs) outlined by R. Deardon et al. , [ Inference for individual level models of infectious diseases in large populations , Statist. Sin. 20 (2010), pp. 239-261] can be used to model the spread of infectious diseases in discrete time. The key feature of these ILMs is that they take into account covariate information on susceptible and infectious individuals as well as shared covariate information such as geography or contact measures. Here, such ILMs are fitted in a Bayesian framework using Markov chain Monte Carlo techniques to data sets from two studies on influenza transmission within households in Hong Kong during 2008 to 2009 and 2009 to 2010. The focus of this paper is to estimate the effect of vaccination on infection risk and choose a model that best fits the infection data.

Suggested Citation

  • Rajat Malik & Rob Deardon & Grace P.S. Kwong & Benjamin J. Cowling, 2014. "Individual-level modeling of the spread of influenza within households," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(7), pages 1578-1592, July.
    • Handle: RePEc:taf:japsta:v:41:y:2014:i:7:p:1578-1592
    DOI: 10.1080/02664763.2014.881787
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    Cited by:

    1. Gyanendra Pokharel & Rob Deardon, 2022. "Emulation‐based inference for spatial infectious disease transmission models incorporating event time uncertainty," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(1), pages 455-479, March.
    2. Rajat Malik & Rob Deardon & Grace P S Kwong, 2016. "Parameterizing Spatial Models of Infectious Disease Transmission that Incorporate Infection Time Uncertainty Using Sampling-Based Likelihood Approximations," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-23, January.
    3. Caitlin Ward & Grant D. Brown & Jacob J. Oleson, 2023. "An individual level infectious disease model in the presence of uncertainty from multiple, imperfect diagnostic tests," Biometrics, The International Biometric Society, vol. 79(1), pages 426-436, March.

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