Modeling the Population Health Impact of ENDS in the U.S.

Objectives: Our objective was to improve understanding of the population health impact of electronic nicotine delivery systems (ENDS) availability in the US via computational modeling. Methods: We present an agent-based population health model (PHM) that simulates annual smoking, ENDS use, and associated mortality for individual agents representing the US population, both adults and youth, between 2000 and 2100. Model transitions were derived from key population surveys and a large longitudinal study of JUUL purchasers. The mortality impact of ENDS is modeled as excess risk relative to smoking. Outcomes are compared between a cigarettes-only Base Case and a Modified Case where ENDS are introduced in 2010. Model validation demonstrates that the PHM simulates population-level behavior and outcomes realistically. Results: The availability of ENDS in the US is projected to reduce smoking and prevent 2.5 million premature deaths by 2100 in the Modified Case. Sensitivity analyses show that a significant population health benefit occurs under all plausible scenarios. Conclusions: Our results suggest the availability of ENDS is likely to result in a significant health benefit to the US population as a whole, after accounting for both beneficial and harmful uses.