Cause and Effect in Epidemiology

Description:
Course Overview
 
Course Quality Rating
TBD
 
Course Description
Determining the cause of a disease or the positive effect of a health activity is an important part of decision-making in public health. But how do we know if something actually does cause a disease or improve our health? Inferring causality is a step-by-step process requiring a variety of information. In this course, Dr. Victoria Holt discusses seven guidelines to use in determining whether a specific agent or activity causes a health outcome. She illustrates each guideline with a public health example. This is part of a nine-part series on epidemiology.
 
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Target Audience
Public health professionals who want to increase their familiarity with the basic concepts of epidemiology.
 
Learning Objectives
1. Describe and distinguish between association and causality in epidemiology
2. List and describe features of associations that support inferences of causality
3. List the principal concerns in inferring causality
 
Council of Linkages Core Competencies for Public Health Professionals (COL)/COL Tier(s)
1A4. Uses methods and instruments for collecting valid and reliable quantitative and qualitative data.
1B7. Identifies gaps in data sources.
1C3. Evaluates variables that measure public health conditions.
1C4. Critiques methods and instruments for collecting valid and reliable quantitative and qualitative data.
1C6. Evaluates the integrity and comparability of data.
6C7. Critiques the limitations of research findings.
 
Professional/Disciplinary Competencies
None listed
 
Format
Online/ Self-study
 
Credit /CEU
None listed
 
Duration
45 minutes
 
Specifications
None listed
 
Course Publication Date
None indicated
 
Launch