Related Experiment Video
Updated: May 22, 2026
16:14
Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
How do we more effectively move epidemiology into policy action?
Faith G Davis1, Caryn E Peterson, Frank Bandiera
1Department of Public Health Sciences, School of Public Health, University of Alberta, Edmonton Clinic Health Academy, Canada. faith.davis@ualberta.ca
Annals of Epidemiology
|May 26, 2012
Summary
Epidemiologists effectively translate evidence into public health policy content and outcomes. However, policy process and training gaps hinder their full impact, necessitating curriculum integration for better evidence-based policy development.
Area of Science:
- Public Health
- Epidemiology
- Health Policy
Background:
- The American College of Epidemiology's Policy Committee reviews translating epidemiologic evidence into policy.
- Case studies have been developed to analyze this translation process.
Purpose of the Study:
- To summarize crosscutting policy process lessons from eight case studies.
- To identify areas for improvement in evidence-based public health policy development.
Main Methods:
- Analysis of eight case studies on translating epidemiologic evidence into policy.
- Workshops held in 2009 and 2011 to discuss policy process lessons.
Main Results:
- A framework emerged highlighting the need for process, content, and outcomes in policy.
- Epidemiologists excel in content and outcomes but face challenges in policy process.
- Six key process issues were identified in the 2011 workshop.
Conclusions:
- Current epidemiologic training inadequately addresses policy and process issues.
- There is ongoing debate regarding the epidemiologist's role in policy advocacy.
- Integrating case studies into training can enhance epidemiologists' policy development skills.
Related Concept Videos
01:26Introduction to Epidemiology
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
01:18Steps in Outbreak Investigation
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
01:25Statistical Methods for Analyzing Epidemiological Data
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
01:29Bias in Epidemiological Studies
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
01:26Principles of Disease Surveillance
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
01:23Investigation of Disease Outbreaks
Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...