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180.634.81
Public Health Emergencies: Risk Communication and Decision Science

Location
Internet
Term
1st Term
Department
Environmental Health and Engineering
Credit(s)
3
Academic Year
2024 - 2025
Instruction Method
Asynchronous Online
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
Yes
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Prerequisite

Introduction to Online Learning

Description
Would you respond well in a public health crisis? Decision making and communication in a crisis can make or break a public health response. Improving the quality of decisions and risk communication can save lives
Explores the science of risk communication and decision making. Discusses risk perception, communication guidance, and news media portrayal of risks— all critical components of behavioral and psychological factors affecting health-related behaviors. Reviews existing guidance on risk decision making. Presents previous and current public health emergencies as practice-based examples of risk communication and decision making. Examines public health emergency scenarios to prepare students for communication and decision making in their future work.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Identify the human factors that influence decision making under uncertainty and time pressure
  2. Explain techniques for improved decision making in a crisis
  3. Analyze decision making in past public health emergencies
  4. Apply decision science to improve public health decision making
  5. Articulate the importance of communicating effectively about risks from and responses to public health threats
  6. Apply components of effective risk communication to provide messages to policy makers and the public about health risks and protective actions
  7. Identify common pitfalls in risk communication and how to avoid them
  8. Critique existing risk communication controversies
Methods of Assessment
This course is evaluated as follows:
  • 90% Assignments
  • 10% Participation