Background: The potential secondhand exposure of exhaled constituents from e-vapor use, particularly under various real-world setting, is a public health concern. We present a computational modelling method to predict air levels of constituents exhaled from e-vapor product use. Methods: We first conducted a clinical study to measure select constituent levels in exhaled breath from adult e-vapor product users. We then used a computational model to predict levels of these constituents in three scenarios – in a car, office and restaurant to determine likely secondhand exposure to nonusers. Exhaled breath samples (10 controlled puffs) were analyzed after the use of four different e-liquids in a cartridge-based e-vapor product. Seven selected analytes were measured: nicotine, propylene glycol (PG), glycerin, menthol, formaldehyde, acetaldehyde, and acrolein and reported based on a linear mixed model for analysis of covariance. Results: The ranges of nicotine, propylene glycol, glycerin, and formaldehyde in exhaled breath were 89.44-195.70 µg, 1,199.7-3,354.5 µg, 5,366.8-6,484.7 µg, and 0.25-0.34 µg, respectively. Menthol was only detected following mentholated e-vapor product use (21.11-31.01 µg); acetaldehyde and acrolein were below detectable limits. Conclusions: We utilized a previously validated well-mixed model to estimate aerosol dispersion and room air levels of individual constituents. The model was based on physical and thermodynamic interactions between air, vapor, and the particulate phase of the aerosol to predict vapor-particle partitioning and air-levels of constituents over time, as they travel through a defined indoor space. Input variables included space setting (space type and volume such as car, office space, or a restaurant), ventilation rate, the amount of total aerosol exhaled by all users and aerosol composition. The computational model predicted that air levels of nicotine, formaldehyde, acrolein, and acetaldehyde were below the permissible exposure limits set by authoritative bodies and substantially lower during e-vapor use compared to conventional cigarettes. The relatively low levels suggest minimal exposure to nonusers.Trial registration: Awaiting Clintrials Registry Number. In the process of retrospectively registering the study in the US Clinicaltrials Registry (http://www.clintrials.gov) will update the information as soon as registered.