Application of Spatial Analysis Tools to Inform Decision-Making in Lmics
Two courses in Biostatistics (either 140.621 and 140.622 or 140.651 and 140.652), and one course in Epidemiology (either 340.601, or 340.721, or 340.751), or consent of the instructor.
Working knowledge of ArcGIS. One is expected to have a working knowledge of MS Office and Windows operating systems.
- Create, edit, and manage spatial databases
- Mapping GIS data using ArcGIS, QGIS, and R
- Appraise and evaluate concepts, technical issues, and applications appropriate for GIS technology, including linking spatial data, conducting spatial queries, and analyzing feature relationships with regard to the strengths and weaknesses of data from low- and middle- income countries
- Map disease and mortality rates using crude and Empirical Bayes Smoothed rates
- Access, download, and process environmental, demographic, and census data from global websites for linking to maps
- Interpret basic spatial data analysis methods including cluster detection and small area estimation, and confounding by spatial neighborhood
- Apply GIS tools to specify and characterize populations and communities for global health intervention and research
- Apply and interpret the concept of spatial autocorrelation (SA) and be able to assess SA in data with special focus to inform resource-poor setting decision-makers
- Use of spatial lag regression and geographically weighted regression for problem solving
- 20% Quizzes
- 45% Lab/homework
- 14% Reading reflections
- 21% In-class Exercises
Students must have their own laptops and download open access softwares in their laptops. A list of software required is in the CoursePlus syllabus.
Course is 2 hour lecture and 1 hour lab with students' own laptops.