Estimating the prevalence of problem drug use from drug-related mortality data.

Hayley E JonesRoss J HarrisBeatrice C DowningMatthias PierceTim MillarA E AdesNicky J WeltonAnne M PresanisDaniela De AngelisMatthew Hickman

Published in: Addiction (Abingdon, England) (2020)

Our modelling approach estimates prevalence from drug-related mortality data, while addressing the main limitations of simplistic multipliers. This offers an alternative approach for the common situation where available data sources do not meet the strong assumptions required for valid capture-recapture estimation. In a case study analysis, prevalence estimates based on our approach were surprisingly similar to existing capture-recapture estimates but, we argue, are based on a much more objective and justifiable modelling approach.

Keyphrases

risk factors
electronic health record
big data
cardiovascular events
drinking water
type diabetes
data analysis
adverse drug
emergency department
artificial intelligence
deep learning