21/11/2022 to 25/11/2022
USD 900, KES 80,000
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. 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. This course are: 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. 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.
Epidemiology and public health concepts and frameworks
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
Basic statistical data analysis for Epidemiology and Public health
Graphs and ChartsLine Graphs
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: +254 732 776 700 or Email: firstname.lastname@example.org
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.
Accommodation is arranged upon request. For reservations contact us through Mobile: +254732776700
or Email: email@example.com
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: firstname.lastname@example.org
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
21/11/2022 to 25/11/2022
USD 900 , KES 80,000