Surveillance Systems: Analysis, Dissemination, and Special Systems
Johns Hopkins University
In this course, we'll build on the previous lessons in this specialization to focus on some very specific skills related to public health surveillance. We'll learn how to get the most out of surveillance data analysis, focusing specifically on interpreting time trend data to detect temporal aberrations as well as person, place, and time in the context of surveillance data. We'll also explore strategies for the presentation of surveillance data and some of the complex legal elements that affect i
About this Course
In this course, we'll build on the previous lessons in this specialization to focus on some very specific skills related to public health surveillance. We'll learn how to get the most out of surveillance data analysis, focusing specifically on interpreting time trend data to detect temporal aberrations as well as person, place, and time in the context of surveillance data. We'll also explore strategies for the presentation of surveillance data and some of the complex legal elements that affect i
What You'll Learn
- Analyze and interpret epidemiologic surveillance data
- Present surveillance data in compliance with legal reporting requirements
- Apply epidmiologic surveillance principles to non-communicable chronic diseases
- Differentiate among indicator-based, event-based, and event-related surveillance systems
Instructors
Stefan Baral, MD, MPH, MBA, FRCPC
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health