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Course Catalog

340.765.01 Professional Epidemiologic Methods: Epidemiologic Intelligence and Population Health Assessments


4th term
2 credits
Academic Year:
2017 - 2018
East Baltimore
Class Times:
  • Friday,  1:30 - 3:20pm
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Kevin Fain
Course Instructor:
  • Kevin Fain

340.722 or 340.752


Please enter a maximum of 700 characters. Epidemiologic intelligence, based on valid and reliable data, is essential to assess, measure, and describe the health and wellbeing of different populations, as well as their health risks, health needs, and health outcomes. Critical analysis of health information for the purpose of describing population health, depends on thorough understanding of various routine and non-routine data sources, information systems, and tools.

Focuses on practical skills for epidemiological assessments of population health, which include methods for monitoring epidemiological profiles and health trends, using public health information systems for measuring health burden, developing epidemiological profiles and conducting health situation analyses.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Identify, critically evaluate and use public health information systems to develop epidemiological and population health profiles
  2. Identify the main epidemiological metrics and tools needed for measuring population health burden
  3. Locate and interpret the main sources of vital and health statistics
  4. Employ tools and measurements to evaluate the quality of public health information systems
  5. Explain and recognize how epidemiologic evidence is identified and assessed by public health agencies for population health
Methods of Assessment:

Group lab projects (3 @ 15% each) 45%, Quizzes (3 @ 10% each) 30%, and Final project, 25%

Enrollment Restriction:

Department of Epidemiology ScM, MHS, DrPH, PhD, and ScD students only. Students who have taken 340.763.01 or 340.873.18 may not register for this course

Instructor Consent:

No consent required

Special Comments:

The course will be mainly lab focused with outside readings required prior to class. Some class sessions will be lecture-based as well.