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

Principles of Disease Surveillance01:26

Principles 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...
Steps in Outbreak Investigation01:18

Steps 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:
Investigation of Disease Outbreaks01:23

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

Statistical Software for Data Analysis and Clinical Trials

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...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical 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:
Introduction to Epidemiology01:26

Introduction 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,...

You might also read

Related Articles

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

Sort by
Same author

'I Battle With This Gambling Addiction Every Day'. Learning From Lived Experiences of Recovery to Guide Gambling Harm Prevention Strategies.

Health expectations : an international journal of public participation in health care and health policy·2026
Same author

Real-world use of lecanemab: patient pathway findings from a US multicenter study.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026
Same author

Systems Thinking Tools to Shift Stakeholder Engagement in Food and Nutrition Insecurity.

Journal of human nutrition and dietetics : the official journal of the British Dietetic Association·2026
Same author

EPR26-163: The Epidemiology of Second Primary Lung Cancer: An Analysis of the Surveillance, Epidemiology, and End Results (SEER) Program.

Journal of the National Comprehensive Cancer Network : JNCCN·2026
Same author

It's time to address the recruitment bottleneck.

The journal of prevention of Alzheimer's disease·2026
Same author

EPR26-163: The Epidemiology of Second Primary Lung Cancer: An Analysis of the Surveillance, Epidemiology, and End Results (SEER) Program.

Journal of the National Comprehensive Cancer Network : JNCCN·2026

Related Experiment Video

Updated: May 12, 2026

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens
09:08

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens

Published on: September 12, 2016

Probabilistic, Decision-theoretic Disease Surveillance and Control.

Michael Wagner1, Fuchiang Tsui, Gregory Cooper

  • 1Center for Advanced Study of Informatics in Public Health, Department of Biomedical Informatics, University of Pittsburgh.

Online Journal of Public Health Informatics
|April 10, 2013
PubMed
Summary

A new public health informatics system uses probabilistic models for disease surveillance and control. This system analyzes healthcare data to inform outbreak control measures, improving population health management.

More Related Videos

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
10:49

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

Related Experiment Videos

Last Updated: May 12, 2026

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens
09:08

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens

Published on: September 12, 2016

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
10:49

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

Area of Science:

  • Public Health Informatics
  • Computational Epidemiology
  • Decision Science

Background:

  • Effective disease surveillance and control are crucial for public health.
  • Existing systems may lack the integration of probabilistic modeling for decision-making.
  • The need for advanced analytical tools to manage potential outbreaks is recognized.

Purpose of the Study:

  • To describe the software components and knowledge bases of a novel probabilistic, decision-theoretic system for disease surveillance and control.
  • To demonstrate the system's utility in transforming healthcare data into actionable population-level analyses.
  • To illustrate the application of the system in analyzing outbreak-control measures using influenza surveillance.

Main Methods:

  • Development of a probabilistic, decision-theoretic system.
  • Integration of healthcare data for population-level analysis.
  • Application of influenza surveillance data to test system functionality.

Main Results:

  • The system successfully transforms raw healthcare data into population-level analyses.
  • Decision analyses for potential outbreak-control measures were effectively performed.
  • The software components and knowledge bases are detailed for replication and further development.

Conclusions:

  • The developed system provides a robust framework for disease surveillance and control.
  • Probabilistic, decision-theoretic approaches enhance the analysis of public health data.
  • The system demonstrates significant potential for improving public health decision-making during outbreaks.