In this module, we will examine the definitions for and sources of the core numeric values we need to describe the health and well-being of a population, which are numerators, the counts of an event or disease, and the denominator, the population from which events are drawn. We will then manipulate those numbers to derive ratios, proportions, and rates, which are core measures used to describe the burden of public health problems.

In this module, we will explore the tool of data visualization, understand basic components of effective visualizations, and walk through practical exercises of identifying strengths and weaknesses of specific visualizations towards meeting their stated goals. You will then have the opportunity to create a data visualization from data regarding risk factors for common public health problems using the global disease-burden database of the Institute for Health Metrics and Evaluation.

Maps and geographic information systems have become a cornerstone in public health and epidemiologic work in all communities. In this module, we will discuss how place matters in public health and how understanding the geographic distribution of a disease or risk factor is an important component of designing appropriate interventions. We will then discuss GIS as a tool for displaying spacial data and conduct a detailed exploration of how spatial data is stored and displayed by GIS software. You will download an open source GIS application known as QGIS, extract both spatial and epidemiologic data from the US Census Bureau, and create a map of your own.