Alert: All GHeL courses that were previously approved for FAC-COR CLPs will need to be re-approved, following the relaunch of FAI on July 1, 2022.  Please hold on submitting certificates for GHeL courses for CL credit until further notice.

Mortality Surveillance Methods & Strategies

Man with a clipboard talking to woman in a village

Reliable and timely information on cause-specific mortality is a critical part of identifying emerging health problems and a fundamental component of evidence-based health policy development, implementation, and evaluation. Efforts to measure population-level impact of global epidemics, including HIV/AIDS, and develop effective responses are complicated by a lack of dependable mortality data in countries with the highest burden of disease. 

This course will provide participants with a basic understanding of the importance and usefulness of mortality data and introduce a range of approaches to collecting such data. The advantages and limitations of the various methods will also be discussed.


Continuous Learning for USAID Staff

USAID staff, such as AORs/CORs, who complete this course may be able to claim CL credit. Please check back as this course is under review beginning July 1, 2022. Please visit OAA's Certifications and Career Development page for more information.


After successfully completing this course, learners will be able to:

  • List reasons for using mortality surveillance data
  • Describe prominent models for obtaining mortality surveillance data
  • Understand the advantages and limitations of each collection type and begin to identify which work best under certain circumstances
  • Understand the uses of mortality surveillance data in developing and evaluating programs and/or policies
  • Recount examples of successful collection of mortality surveillance data


Collaborating organizations involved in the development of Mortality Surveillance Methods & Strategies include:

  • David Davies-Deis, Johns Hopkins University Center for Communication Programs
  • Renee Lewis, U.S. Census Bureau
  • Loraine West, U.S. Census Bureau


We would also like to acknowledge the following technical reviewers for their valuable input:

  • Stirling Cummings, MEASURE Evaluation/University of North Carolina
  • Robert Mswia, MEASURE Evaluation/Futures Group International


  • 2 hours


  • Thursday, December 1, 2011

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