Learning Opportunities: Economic Evaluation, Advanced Population Health, GIS

Next week, mark your calendars for these three diverse learning opportunities with Region 8 and Region 3.




From Region VIII – Rocky Mountain Public Health Training Center

Economic Evaluation Peer Learning Opportunity

Live Online Module May 13: Are you wondering how economic evaluation might benefit your program or initiative? Interested in communicating value to decision-makers and funders? Join others to discuss the application of economic evaluation to your work. We’ll be joined by Carsten Baumann from the Colorado Department of Public Health and Environment, who can answer questions and be a thought partner for you. This will be a facilitated discussion, not a presentation, so come with your questions and thoughts!

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Advanced Population Health Principles for Colorectal Cancer Screening

Community of Practice Through June 6: This community of practice will allow health center quality improvement (QI) staff to think beyond the basics and meet with peers to discuss ongoing and emerging needs in QI. Sessions are every first Thursday of the month.

For more information on this or similar learning opportunities, email us at

From Region III – Mid-Atlantic Regional Public Health Training Center

GIS for Urban Health

In-person Course June 28-30: This workshop will familiarize students with the applications of Geographic Information Systems (GIS) to assess or evaluate urban health challenges, and potential solutions, with a focus on the Philadelphia context. Students are expected to have some prior experience with GIS and be familiar with acquiring spatial data, data management, symbolizing features and making maps, and data coordinate and projection systems. Through hands-on exercises based on local case studies, students will gain practice in assessing the relationship between aspects of our environments (e.g. housing, transportation, food/nutrition, crime, chemical pollution, parks, and vegetation) and health in Philadelphia. Students will gain practice in using tools such as spatial joins, buffer analyses, spatial overlays and interpolation with both vector and raster data, in combination with basic statistics to answer urban health research questions. Class sessions will consist of briefs lectures, extensive hands-on computer lab exercises, and individual or group projects.

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