Modeling the population health impact of accurate and inaccurate perceptions of harm from nicotine - Harm Reduction Journal

The research explores the impact of different perceptions of nicotine harm on smoking behavior and public health through an Agent-Based Population Model. Different nicotine perception scenarios were simulated based on responses from the PATH Study, affecting smoking rates and mortality predictions until 2100. The study analyzes switching rates to non-combustible products based on perceptions of nicotine harm and models population health impacts. The model considers various transition probabilities, mortality rates, and population dynamics to project outcomes. By comparing base case and perception scenarios, researchers assess the effects of changing attitudes towards nicotine on smoking prevalence and mortality rates among adults.