Geographic Approaches to Global Health: A Self-Directed Mini-Course [Kindle edition]


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Author(s): Spencer S, Stewart J, Wilkes B

Year: 2012 (rev. 2015)

Geographic Approaches to Global Health: A Self-Directed Mini-Course [Kindle edition] Abstract:

It is important to harness geography to manage, analyze, and leverage spatial data effectively when planning, monitoring, and evaluating health sector programs. Through this course, learners will gain an understanding of how to use spatial data to enhance the decision-making process for health program implementation in limited resource settings.

By the end of this course, the learner will—within a public health context—be able to:

  • Understand the basics of spatial data and its role in decision making
  • Explain why geographic data and tools are important for decision makers
  • Understand geography as a unifying framework and GIS as a tool to collect, link, analyze, visualize, manage, and share data and information
  • Address the challenges and explore the opportunities of working with spatial data to produce geographic information and geographically based knowledge
  • Distinguish between the different tools used to collect, analyze, and manipulate geographic data
  • Communicate with technical specialists to develop program-specific geographic products
This course is appropriate for public health program planners, managers, and professional staff who are interested in learning how geography and spatial data and tools can benefit their programs. The course is designed for individuals without a background in geographic information system(s) (GIS) or who are not specialists in medical geography.

Note: This is a Kindle format e-book and is intended for reading on Kindle devices. To read this MOBI file on your Kindle device, please follow the instructions at http://www.amazon.com/gp/sendtokindle/email. This publication is also available in PDF and EPUB formats.

This publication is also available in the following language:
English

Filed under: Spatial data , Geographic Information Systems , GIS , Geospatial analysis