Superfund Research Program
A Holistochastic Approach to Human Exposure Assessment
Project Leader: George Christakos
Grant Number: P42ES005948
Funding Period: 1995 - 2006
Project Summary (2000-2006)
The goal of this project is to develop a rigorous modeling framework that will permit the integrated analysis of environmental fate, exposure to pollutants and the resulting health impacts. Project investigators are designing a holistochastic Bayesian maximum entropy (BME) framework to model the spatiotemporal distribution of environmental fate and resulting pollutants. This modeling framework is very general and flexible and covers a wide variety of pollutant distributions. By processing a variety of knowledge bases, BME brings together several sciences that are all relevant to human exposure. Risk assessment issues are addressed integratively and interactively within the BME framework. Particular emphasis is given to establishing a working environment where human exposure modeling and laboratory (or field) research are integrated in a meaningful way. BME is thus a central component of this interdisciplinary effort to model environmental health systems that involve natural variables, exposure mechanisms, biological processes, physiology parameters, and epidemiological indicators.