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Data for Action: Examples from Pandemics, Epidemics, and Other Public Health Crises is a Course

Data for Action: Examples from Pandemics, Epidemics, and Other Public Health Crises

Jun 21 - Oct 30, 2021
14.0 credits

$350 Enroll

Full course description

2021 Annual Summer Program in Population Health Course 

Registration: For those paying with a debit or credit card, please click "enroll" on the course you wish to take. 

Paying with a purchase order? Please click here to complete your registration. 

Are you an undergraduate, graduate or doctoral student? Students receive a discount on Summer Program courses. Student cost for this course is $100. Please use code StudentDiscount.

Instructor: Ayaz Hrder, PhD

Course Description:

Currently there is no shortage of public health crises. Data-informed decision-making during times of crises is critical for public health departments, health care systems and payers. In this course, two examples—the COVID-19 pandemic and the opioid epidemic—will serve as case studies on collecting, processing, integrating, and using data for action. Additional case studies may include infant mortality and food insecurity. By the end of the course, participants will be able to develop a dynamic and sustainable data-for-action strategy, to assemble and analyze data for action, and to translate data for actions that are impactful and equitable. The method of instruction will involve short lectures on data for action frameworks, guest lectures from local public health professionals and other stakeholders implementing data for action initiatives in Ohio, and hands-on training with software and other tools to catalyze data for action, such as use cases for community engagement, open data platforms and data commons, and data visualization/analytics.

Course Objectives:

Upon completion of this course, participants will be able to:

1. Identify relevant people, projects, organizations, datasets and issues for a given public health issue

2. Use open source software and other tools to collect, clean, document, harmonize, analyze, visualize and share the variety of data collected by local health departments

3. Build internal and external capacity to share, analyze, interpret, communicate and translate data and data-informed decisions

4. Analyze qualitative and quantitative data from non-traditional sources (e.g., social media, business/marketing, dark web)

5. Assemble an end-to-end workflow for integrating and making sense of data from multiple sectors linked to a public health issue

6. Identify activities within each component of the EAT framework

7. Outline how to use the EAT framework in daily public health practice and healthcare settings

8. Apply the EAT framework within your own organization/agency/department

9. Criticize each component of the EAT framework based on real-world experiences and simulated public health crises

10. Modify the EAT framework for future public health crises  

Continuing Education:

Continuing education credits will be available for certified health education specialists, registered sanitarians and those certified in public health.

Contact the Center at with questions about continuing education contact hours.