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GIS and Remote Sensing for Epidemiology and Public Health Course using QGIS, SAGA & GIS

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On-Site / Training

Details

Participants will 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.

Who should attend?

The course is targeted at individuals working with health data that have no experience using GIS but would like to learn how it can be applied in their work.

LEARNING OBJECTIVES
  • To develop Understanding on the different components of a GIS and the role GIS plays in solving epidemiological and public health problems.
  • 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 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.
  • Establish understanding on how to work with spatial data and GIS techniques to solve epidemiology and public health problems.
  • To expose participants to data capture, input, manipulation and display by GIS
  • To demonstrate to participants use of GIS in mapping health facilities and projects.
  • To explain to the participants role of GIS as a decision support system in public health

Outline

The training workshop will discuss the application of GIS in Public Health under the following themes:

Module 1: 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

Module 2: 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

Module 3: 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

Module 4: 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) Module 5:
  • Participatory GIS in public health
  • Use of mobile GIS in health surveillance and assessments
  • Integrating GIS into Electronic Medical Records (case studies or practical?)

Module 6: 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
  • Filtering Data
  • Data Auditing
  • Data validation
  • Graphs and Charts Line Graphs
  • Bar Charts
  • Statistical Data Analysis with Excel Presentation using Pivot charts
  • Descriptive Statistics
  • Pivot tables
  • Probability Distribution
  • Hypothesis tests
  • Analyses of Variance
  • Measures of Precision
  • Single Factor Experiments
  • Factorial Experiments
  • Regression Analysis
  • • Data Quality reporting
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