Posted by Cause4
Health, Medical, Training
Epidemiology seeks to determine associations between exposure risk and disease that are spatially dependent. Public health focuses on the health of populations rather than of individuals and focuses more on prevention of health problems. These efforts fall naturally within the domain of problems requiring use of spatial analysis as part of the solution, and GIS and other spatial analysis tools are therefore recognized as providing potentially transformational capabilities for Epidemiology and public health efforts.
This course is to link common public health questions with appropriate statistical procedures; to offer a strong conceptual grounding in several important statistical procedures; and to describe how to interpret the results from the statistics in ways that are principled and will be persuasive to intended audiences using simple software tools. Statistics are a mainstay in the toolkit of public health professionals. Human memory being what it is, however, even Public health professionals with reasonable statistical training, over the years, often forget the basics. If professionals are going to make sensible use of consultants, communicate effectively with funders, and understand others’ reports, then they often need at least a conceptual understanding of relatively complex, recently developed statistical techniques.
Our main goal is to help the participants acquire hands-on skills in use of Geographic Information System (GIS) as a tool to capture, store, analyze, manage, and visualize disease cases data that is geographically linked. The participants will also acquire statistical data analysis skills.
Epidemiology and public health concepts and frameworks
Mobile Data Collection Technology
GIS data management in epidemiology and public health
Spatial mapping and Visualization in Epidemiology and Public health
GIS for monitoring in Epidemiology and public health
Participatory GIS and use of mobile GIS
Basic statistical data analysis for Epidemiology and Public health
Graphs, Charts and Line Graphs
Data Quality reporting