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- GIS for Health and Epidemiology
Curriculum
- 4 Sections
- 16 Lessons
- 40 Hours
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- Disease Mapping and Outbreak Tracking4
- 1.1Learn how to use GIS tools for mapping the spread of diseases in real-time.
- 1.2Track disease outbreaks and identify spatial patterns of infection using geospatial data.
- 1.3Explore the integration of historical health data with current mapping techniques for predictive outbreak modeling.
- 1.4Understand how to visualize data through heat maps and other GIS visualizations to inform public health decisions.
- Access to Healthcare Analysis4
- 2.1Use GIS to analyze geographic accessibility to healthcare facilities and services.
- 2.2Learn how to assess the distribution of healthcare resources, such as hospitals, clinics, and emergency services.
- 2.3Identify underserved areas and populations with limited access to healthcare services using spatial analysis.
- 2.4Explore GIS-based methods for improving healthcare access in rural and urban areas.
- Spatial Epidemiology Methods4
- 3.1Apply spatial analysis techniques to epidemiological data for a better understanding of disease patterns.
- 3.2Use spatial clustering, spatial autocorrelation, and spatial regression to analyze disease distribution and identify environmental or social factors.
- 3.3Learn how to create predictive models for disease outbreaks and transmission dynamics.
- 3.4Utilize GIS to analyze risk factors and target prevention strategies in specific geographic locations.
- Public Health Resource Allocation4
- 4.1Use GIS tools to optimize the allocation of public health resources, such as vaccines, medical personnel, and healthcare infrastructure.
- 4.2Perform spatial analysis to identify areas with the highest need for resources, ensuring equitable distribution.
- 4.3Learn to prioritize resource allocation based on demographic data, disease prevalence, and healthcare accessibility.
- 4.4Apply GIS to improve emergency response planning and healthcare logistics for better outcomes in public health crises.
Track disease outbreaks and identify spatial patterns of infection using geospatial data.
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