Foscore Development Center, Transnational Plaza, Mama Ngina Street 5th Floor, Nairobi Kenya
Remote Sensing and GIS for Public Health and Epidemiology Course
By: Foscore Development Center
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.
To present to participants all data-related aspects of a GIS, such as the data models in GIS, data input, data editing, data visualization, metadata and managing a spatial database.
To develop Understanding on the different components of a GIS and the role GIS plays in solving epidemiological and public health problems.
Establish understanding on how to work with spatial data and GIS techniques to solve epidemiology and public health problems.
To Carry out advanced analyses of geographical data with specific reference to epidemiological related issues
To improve data management and analysis skills of the participants
To perform spatial and temporal epidemiological and public health analysis using GIS.
To expose participants to data capture, input, manipulation and display by GIS
To explain to the participants role of GIS as a decision support system in public health
To demonstrate to participants use of GIS in mapping health facilities and projects.
Epidemiology and public health concepts and frameworks
Introduction to Epidemiology and public health concepts
Introduction to GIS in Epidemiology and public health context
Planning for a GIS system installation
GIS Data sources for Epidemiology and public health
Working with a GIS software
Mobile Data Collection Technology
Mobile Data Collection using ODK and KoBoToolbox technology
GIS data management in epidemiology and public health
Public health and epidemiology GIS Database creation
Data Types and Data Sources in Epidemiology and public health
Working with GIS Data
Working with data from different sources (databases, shapefiles and spreadsheets)
Facilitated Practical exercises in working with GIS Data
Styling and symbolization
Spatial mapping and Visualization in Epidemiology and Public health
Mapping Project activities
GIS mapping of priority public health problems (HIV and AIDS, Malaria, Tuberculosis)
GIS mapping of Most At Risk Populations (MARPS)
GIS Mapping of health facilities and health resources
GIS for monitoring in Epidemiology and public health
GIS in Disease transmission and progression mapping
GIS as a Decision Support System for Public Health Management (What, where, when, how and why analysis – case studies)
Use of GIS in Epidemiology and Health Related Disaster Management (case studies or practical)
GIS in Environmental management and Public health (case studies or practical)
Participatory GIS and use of mobile GIS
Participatory GIS in public health
Use of mobile GIS in health surveillance and assessments
Integrating GIS into Electronic Medical Records (case studies or practical?)
Basic statistical data analysis for Epidemiology and Public health
Introduction to excel
Preparing data for analysis
Creating a list
Manipulating data using formulas
Outlining and Sorting data
Entering Data: Data Forms
Finding Records Using Criteria
Graphs, Charts and Line Graphs
Statistical Data Analysis with Excel Presentation using Pivot charts
Analyses of Variance
Measures of Precision
Single Factor Experiments
Data Quality reporting