Giuseppe
Emeritus
[Source: ScienceDirect, Epidemics, full text: (LINK). Abstract, edited.]
Epidemics
Article in Press, Accepted Manuscript <HR SIZE=1>
doi:10.1016/j.epidem.2011.05.001
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Incorporating population dynamics into household models of infectious disease transmission
K. Glass<SUP>a</SUP><SUP>,*</SUP>, J.M. McCaw<SUP>b</SUP> and J. McVernon<SUP>b</SUP>
<SUP>a</SUP> National Centre for Epidemiology & Population Health, Australian National University
<SUP>b</SUP> Vaccine & Immunisation Research Group, Murdoch Childrens Research Institute and School of Population Health, The University of Melbourne
Received 10 March 2011; revised 9 May 2011; accepted 22 May 2011. Available online 1 June 2011.
Abstract
Most household models of disease transmission assume static household distributions. Although this is a reasonable simplification for assessing vaccination strategies at a single point in time or over the course of an outbreak, it has considerable drawbacks for assessing long term vaccination policies or for predicting future changes in immunity. We demonstrate that household models that include births, deaths and movement between households can show dramatically different patterns of infection and immunity to static population models. When immunity is assumed to be life-long, the pattern of births by household size is the key driver of infection, suggesting that the influx of susceptibles has most impact on infection risk in the household. In a comparison of 12 countries, we show that both the crude birth rate and the mean household size affect the risk of infection in households.
Keywords: Mathematical model; Demography; Family.
*Corresponding author.
- ------
Epidemics
Article in Press, Accepted Manuscript <HR SIZE=1>
doi:10.1016/j.epidem.2011.05.001
Permissions & Reprints
Incorporating population dynamics into household models of infectious disease transmission
K. Glass<SUP>a</SUP><SUP>,*</SUP>, J.M. McCaw<SUP>b</SUP> and J. McVernon<SUP>b</SUP>
<SUP>a</SUP> National Centre for Epidemiology & Population Health, Australian National University
<SUP>b</SUP> Vaccine & Immunisation Research Group, Murdoch Childrens Research Institute and School of Population Health, The University of Melbourne
Received 10 March 2011; revised 9 May 2011; accepted 22 May 2011. Available online 1 June 2011.
Abstract
Most household models of disease transmission assume static household distributions. Although this is a reasonable simplification for assessing vaccination strategies at a single point in time or over the course of an outbreak, it has considerable drawbacks for assessing long term vaccination policies or for predicting future changes in immunity. We demonstrate that household models that include births, deaths and movement between households can show dramatically different patterns of infection and immunity to static population models. When immunity is assumed to be life-long, the pattern of births by household size is the key driver of infection, suggesting that the influx of susceptibles has most impact on infection risk in the household. In a comparison of 12 countries, we show that both the crude birth rate and the mean household size affect the risk of infection in households.
Keywords: Mathematical model; Demography; Family.
*Corresponding author.