5 credits
In this course, students cover the application of secondary data analysis, and the use of health informatics and biosurveillance for program planning. Topics include measuring and identifying data sources, analysis of data on selected determinants of community health status and health services use, complex sampling, and power calculations. As students address health issues in their research, they will learn to analyze, interpret, and explain quantitative surveillance data by combining individual and group level variables to analyze multilevel regression modeling. Students will develop an understanding of statistical methodology to utilize secondary data and review the use of Geographic Information Systems data in public health.