This chapter discusses data for epidemiological studies. Topics covered include data types, data storage and interchange, data collection and management data quality, and spatial effects. The chapter argues that the integration of the spatial dimension into epidemiological investigations provides an opportunity for conducting more informative descriptive analyses and gaining additional insights into the causal processes under investigation. However, there is a cost associated with this benefit in the form of additional computer hardware, software, and training.
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