Jove
Visualize
Contact Us
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 Concept Videos

Introduction to Epidemiology01:26

Introduction to Epidemiology

1.5K
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,...
1.5K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

425
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:
425
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

818
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:
818
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

785
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...
785
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.3K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.3K
Causality in Epidemiology01:21

Causality in Epidemiology

1.4K
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...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Large Language Model Chatbot Conversations vs Public Health Materials and Parental HPV Vaccination Intentions: A Randomized Clinical Trial.

JAMA network open·2026
Same author

Characterising concerns and misinformation shaping global HIV vaccine confidence and demand: a structured literature search and content analysis.

BMJ global health·2026
Same author

"You could hear their breathing slow down": insights on a video-based psychosocial support intervention to increase HIV treatment uptake and improve psychosocial well-being among men living with HIV in South Africa.

AIDS care·2025
Same author

A journey without a map: Qualitative insights into the diagnosis of idiopathic pulmonary fibrosis.

Heart & lung : the journal of critical care·2025
Same author

"I wish someone else could notify the partner": barriers to STI partner notification identified and experienced by young women and health care workers in Cape Town, South Africa.

Frontiers in reproductive health·2025
Same author

Behaviourally-Informed Two-Way Text Messaging to Improve Return to HIV Care in South Africa: Evidence from a Randomised Controlled Trial.

AIDS and behavior·2025

Related Experiment Video

Updated: Dec 24, 2025

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training
05:04

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training

Published on: August 9, 2024

1.4K

Nursing Students as Epidemiologists: A Simulation Approach.

Harriet Okatch1,2, Timothy Joseph Sowicz3, Helen Teng3

  • 1School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

Clinical Simulation in Nursing
|April 15, 2020
PubMed
Summary
This summary is machine-generated.

This study details an epidemiology simulation for nursing students, based on the 2003 SARS outbreak. The simulation effectively enhanced students' outbreak investigation skills and engagement in public health nursing.

Keywords:
educationepidemiologynursing studentsoutbreak investigationsimulation

More Related Videos

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

17.5K
Author Spotlight: Learning Systematic Bronchoscopy in a Simulation-Base Setting
04:47

Author Spotlight: Learning Systematic Bronchoscopy in a Simulation-Base Setting

Published on: June 23, 2023

3.3K

Related Experiment Videos

Last Updated: Dec 24, 2025

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training
05:04

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training

Published on: August 9, 2024

1.4K
Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

17.5K
Author Spotlight: Learning Systematic Bronchoscopy in a Simulation-Base Setting
04:47

Author Spotlight: Learning Systematic Bronchoscopy in a Simulation-Base Setting

Published on: June 23, 2023

3.3K

Area of Science:

  • Nursing Education
  • Epidemiology Simulation
  • Public Health Nursing

Background:

  • Simulation is a valuable tool for teaching clinical skills in nursing education.
  • Community and public health nursing courses require practical training in outbreak investigation.
  • Existing educational methods may not fully prepare students for real-world public health emergencies.

Purpose of the Study:

  • To describe the development, implementation, and evaluation of an epidemiology simulation.
  • To assess the simulation's effectiveness in teaching outbreak investigation principles to undergraduate nursing students.
  • To share lessons learned regarding simulation design, delivery, and sustainability in nursing education.

Main Methods:

  • Developed an epidemiology simulation based on the 2003 Severe Acute Respiratory Syndrome (SARS) outbreak in Toronto.
  • Implemented the simulation in an undergraduate community and public health nursing clinical course.
  • Students worked in groups, acting as public health nurses, to analyze data and make recommendations under time constraints.

Main Results:

  • Student evaluations indicated high levels of engagement and interest in the simulation.
  • Participants demonstrated a substantial increase in skills and expertise related to outbreak investigation.
  • The simulation was found to be a feasible and effective teaching modality.

Conclusions:

  • Epidemiology simulation is a viable and effective method for teaching outbreak investigation in community and public health nursing.
  • The simulation model, based on the SARS outbreak, successfully enhanced student learning and practical skills.
  • This approach should be considered for integration into undergraduate public health nursing curricula.