Please visit the [[Inhalation Exposure Simulation Modeling|IESM Summary Page]] for a quick description of the aims, investigators, and materials associated with the Inhalation Exposure Simulation Modeling (IESM) hosted project.
The IESM project integrates the results of other projects into a deterministic and stochastic modeling framework, which can be used to predict and explore human exposures to airborne pollutants for a wide range of locations and scenarios. The framework incorporates human activity patterns, indoor air monitoring data and models, building factors, and a range of simulation techniques. The framework is currently manifested as a series of routines programmed in the [[Human Exposure Research Package (heR)]].
The earliest activity-pattern based exposure model was developed by Wayne Ott in the 1980's, called the Simulation of Human Activity and Pollutant Exposure (SHAPE) model. The more recent THEM model, developed at Stanford University in the early 1990's, was an offshoot of this original model ([[A Total Human Exposure Model (THEM) for Respirable Suspended Particles (RSP)|Klepeis et al. 1994]]).
Most recently, investigators in the IESM project have simulated exposure to secondhand tobacco smoke (SHS) in residences ([[Modeling Residential Exposure to Secondhand Tobacco Smoke|Klepeis and Nazaroff 2006]]), for the purpose of identifying building and occupant-activity factors that most heavily influence exposure.
In the sections of this chapter, we describe in more detail the various sub-projects and software implementations that are part of the IESM project.