Ingestion of arsenic in drinking water has been linked with the risk of bladder
cancer, however, questions remain about the dose-response relationships,
ranges in induction-latency intervals, and whether there are critical lifetime
exposure periods of heightened susceptibility. This book describes how individual-
level estimates of arsenic exposure are reconstructed using newly
developed Space-Time Information System technology, and offers methodological
approaches for evaluating temporal dynamics in the relationship
between arsenic exposure and bladder cancer. Spatial, temporal, and spatiotemporal
variability are incorporated in the assessment of lifetime exposure
to arsenic. Fluid and food consumption data are joined with mobility
histories and arsenic concentrations to generate a detailed lifetime assessment
of arsenic exposure. These exposure estimates will be used in a
population-based bladder cancer case-control study nearing completion in
southeastern Michigan. This work is directed to exposure scientists, environmental
epidemiologists, health geographers, GIScientists, and others
interested in the links between environment, human health, and spatial technology.