Spatio-Temporal Methods in Environmental Epidemiology (Paperback, 1)

Why spatio-temporal epidemiology? Modelling health risks. The importance of uncertainty. Embracing uncertainty: the Bayesian approach. The Bayesian approach in practice. Strategies for modeling. Is ‘real’ data always quite so real? Spatial patterns in disease. From points to fields: modelling environmental hazards over space. Why time also matters. The interplay between space and time in exposure assessment. Roadblocks on the way to causality: exposure pathways, aggregation and other sources of bias. Better exposure measurements through better design. New frontiers. Appendices. References. Indices.