Jove
Visualize
Contact Us

Related Concept Videos

Introduction to Epidemiology01:26

Introduction to Epidemiology

1.4K
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,...
1.4K
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

338
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...
338
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

999
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:  
999
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

653
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
653
Causality in Epidemiology01:21

Causality in Epidemiology

1.3K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.3K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

364
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:
364

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

How the Gender Dimension of One Health Helps Combat Outbreaks of Emerging and Reemerging Zoonotic Diseases: Case Studies.

Health security·2026
Same author

The broader symbiotic relationships between animals and humans in low-, middle- and high-income countries.

The Proceedings of the Nutrition Society·2025
Same author

Estimating the cost of young stock mortality in livestock systems-An application to sheep farming in Ethiopia.

Frontiers in veterinary science·2024
Same author

Evaluation of a Training Program on Gender Mainstreaming in Health Research Evaluation at the Senegalese National Research Ethics Committee.

Journal of empirical research on human research ethics : JERHRE·2024
Same author

Interventions to reduce camel and small ruminant young stock morbidity and mortality in Ethiopia.

Preventive veterinary medicine·2023
Same author

A study of the effectiveness of a detergent-based California mastitis test (CMT), using Ethiopian and Nigerian domestic detergents, for the detection of high somatic cell counts in milk and their reliability compared to the commercial UK CMT.

Gates open research·2023
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Nov 25, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

12.3K

Participatory Epidemiology: Principles, Practice, Utility, and Lessons Learnt.

Robyn G Alders1,2,3,4,5, Syed Noman Ali6, Aluma Araba Ameri7

  • 1Kyeema Foundation, Brisbane, QLD, Australia.

Frontiers in Veterinary Science
|December 17, 2020
PubMed
Summary
This summary is machine-generated.

Participatory epidemiology (PE) enhances infectious disease control by involving animal owners and caretakers. This approach integrates local knowledge for better surveillance and program design, especially in resource-limited areas.

Keywords:
One Healthemerging infectious diseasemedical anthropologyparticipatory disease surveillanceparticipatory impact assessment

More Related Videos

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

2.5K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.0K

Related Experiment Videos

Last Updated: Nov 25, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

12.3K
Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

2.5K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.0K

Area of Science:

  • Veterinary Epidemiology
  • Public Health
  • One Health

Background:

  • Participatory epidemiology (PE) originated in veterinary epidemiology for infectious disease control in resource-limited settings.
  • It leverages practitioner skills and community knowledge for disease identification, assessment, and control program development.
  • PE's application has expanded beyond animal health to food security, One Health initiatives, and wildlife surveillance.

Purpose of the Study:

  • To review the evolution and principles of participatory epidemiology.
  • To highlight the importance of gender-sensitive approaches and data triangulation in PE.
  • To illustrate diverse PE applications and identify factors for successful initiatives.

Main Methods:

  • Literature review of participatory epidemiology's development and application.
  • Analysis of PE principles, including gender sensitivity and data triangulation.
  • Inclusion of case examples showcasing PE's adaptability and impact.

Main Results:

  • PE has evolved from veterinary epidemiology to diverse fields, integrating local knowledge and social drivers.
  • Successful PE initiatives require specific principles and approaches, with lessons learned from failures.
  • PE is crucial for emerging infectious diseases and amplifying marginalized voices in policy.

Conclusions:

  • Participatory epidemiology is a versatile approach for disease surveillance and control, particularly in complex, multi-sectoral contexts.
  • Effective PE requires understanding social dynamics, incorporating diverse perspectives, and employing robust methodologies.
  • The approach holds significant promise for addressing future health challenges and promoting equitable well-being.