The impact of individual-level heterogeneity on estimated infectious disease burden: a simulation study.

Last updated on 23-8-2019 by Anonymous (non vérifié)

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Peer reviewed scientific article



BACKGROUND: Disease burden is not evenly distributed within a population; this uneven distribution can be due to individual heterogeneity in progression rates between disease stages. Composite measures of disease burden that are based on disease progression models, such as the disability-adjusted life year (DALY), are widely used to quantify the current and future burden of infectious diseases. Our goal was to investigate to what extent ignoring the presence of heterogeneity could bias DALY computation. METHODS: Simulations using individual-based models for hypothetical infectious diseas…

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