GIS and Remote Sensing for Epidemiology and Public Health Course (11th – 15th June 2018.)

Indepth · April 25, 2018, 12:05pm

Event: GIS and Remote Sensing for Epidemiology and Public Health Course

Venue : Indepth Research Services, Nairobi, Kenya.

Event Date : 11th – 15th June 2018.

NITA CERTIFIED

INTRODUCTION

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.

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.

COURSE 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

TOPICS TO BE COVERED

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

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
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
Graphs and Charts Line Graphs

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How to participate

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For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: [email protected]. Mob: +254 715 077 817 Tel: 020 211 3814

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B 04th May 2018 .

Send proof of payment to [email protected]