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Estimating the population exposed to a risk factor over a time window: A microsimulation modelling approach from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury.

Bálint NáfrádiHannah KiiverSubas NeupaneNatalie C MomenKai N StreicherFrank Pega
Published in: PloS one (2022)
Our modelling approach for estimating the population exposed to a risk factor over a time window is simple, versatile, and flexible. It however requires longitudinal exposure data and Model 3 (the microsimulation model) is stochastic. The approach can improve accuracy and transparency in exposure and burden of disease estimations. To improve the approach, a logical next step is changing Model 3 to a deterministic microsimulation method, such as modelling of microflows.
Keyphrases
  • risk factors
  • electronic health record
  • cross sectional
  • machine learning
  • data analysis
  • drug induced