The future excess fraction model for calculating burden of disease

Lin Fritschi, Jayzii Chan, J. Hutchings, Tim R. Driscoll, Adrian Y.W. Wong, Renee N. Carey

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)

Abstract

Background: Estimates of the burden of disease caused by a particular agent are used to assist in making policy and prioritizing actions. Most estimations have employed the attributable fraction approach, which estimates the proportion of disease cases or deaths in a specific year which are attributable to past exposure to a particular agent. While this approach has proven extremely useful in quantifying health effects, it requires historical data on exposures which are not always available. Methods: We present an alternative method, the future excess fraction method, which is based on the lifetime risk approach, and which requires current rather than historical exposure data. This method estimates the future number of exposure-related disease cases or deaths occurring in the subgroup of the population who were exposed to the particular agent in a specific year. We explain this method and use publically-available data on current asbestos exposure and mesothelioma incidence to demonstrate the use of the method. Conclusions: Our approach to modelling burden of disease is useful when there are no historical measures of exposure and where future disease rates can be projected on person years at risk.

Original languageEnglish
Article number386
Number of pages8
JournalBMC Public Health
Volume16
DOIs
Publication statusPublished - 11 May 2016
Externally publishedYes

Keywords

  • Burden of disease
  • Methodology
  • Policy
  • Prevention

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