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Gender Foundations in Health Data: A Data for Health Course
Coursera MOOC / Non-credit 0

Gender Foundations in Health Data: A Data for Health Course

About this course

Welcome to Gender Foundations in Health Data: A Data for Health course. This course was developed from an online seminar series of the same name, that was hosted by Johns Hopkins University Bloomberg School of Health in 2021-22. The course instructors are Drs. Michelle Kaufman and Tahilin Sanchez Karver. This course will raise learners' awareness of the necessity of utilizing a gender lens in global public health data, policy, and practice, feature how-tos and key examples of integration of gender in data collection, analysis, and use from Data for Health partners Technical Specifications This course uses a third-party app called Articulate Rise to deliver the course materials. You will need to click-through a few screens (Articulate Rise, pop-up blockers) to enter and exit each Module. Please be sure to turn off pop-up blockers to access the materials. To post in the discussion forums, you will need to exit the Modules in Articulate Rise and go back to Coursera. Please feel free to reach out to [email protected] with any questions, including technology concerns. We hope you have a good experience learning about gender integration in your health data work.

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What you'll learn

  • understanding the integration of gender in health data
  • learning methods for gender-disaggregated data collection
  • analyzing the implications of gender on health policies

Course objectives

  • to raise awareness of the necessity for a gender lens in public health data
  • to provide practical examples of gender integration in data practices
Public Health #public health #data collection #policy development #global health #health outcomes #data practices #gender perspective #gender data #health analysis #gender-disaggregated data
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