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

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

784
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:
784
Infectious Diseases and Their Occurrence01:28

Infectious Diseases and Their Occurrence

70
Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable...
70
Vaccinations01:51

Vaccinations

54.7K
Overview
54.7K
Investigation of Disease Outbreaks01:23

Investigation of Disease Outbreaks

68
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...
68
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

821
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...
821

You might also read

Related Articles

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

Sort by
Same author

Time to provide clear guidance around respiratory protection for hantavirus during outbreaks involving human to human transmission.

International journal of nursing studies·2026
Same author

Determinants of fatalities and secondary transmission in laboratory pathogen incidents, 1900-2025.

The Journal of infection·2026
Same author

Hantavirus outbreak on a cruise ship in the South Atlantic.

Lancet (London, England)·2026
Same author

Respiratory syncytial virus (RSV) vaccination program for older Australians reduces health inequalities: a distributional cost-effectiveness analysis.

Vaccine·2026
Same author

Machine Learning-Based Geospatial Risk Modeling of Global Avian Influenza Outbreaks.

Transboundary and emerging diseases·2026
Same author

Ensemble forecasts of COVID-19 activity to support Australia's pandemic response: 2020-22.

PLoS computational biology·2026

Related Experiment Video

Updated: Apr 18, 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

9.3K

Predicting localised measles outbreak potential in Australia.

James G Wood1, Anita E Heywood1, Robert I Menzies2

  • 1School of Public Health and Community Medicine, UNSW, Sydney, Australia.

Vaccine
|January 27, 2015
PubMed
Summary

Australia has eliminated measles, but regional vaccine coverage gaps increase outbreak risks. Mathematical models predict rising measles outbreak frequency, particularly in Queensland and New South Wales, over the next two decades.

Keywords:
EpidemiologyImmunisationMeaslesModellingOutbreaks

More Related Videos

An Improved and High Throughput Respiratory Syncytial Virus RSV Micro-neutralization Assay
09:14

An Improved and High Throughput Respiratory Syncytial Virus RSV Micro-neutralization Assay

Published on: January 26, 2019

11.7K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

11.2K

Related Experiment Videos

Last Updated: Apr 18, 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

9.3K
An Improved and High Throughput Respiratory Syncytial Virus RSV Micro-neutralization Assay
09:14

An Improved and High Throughput Respiratory Syncytial Virus RSV Micro-neutralization Assay

Published on: January 26, 2019

11.7K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

11.2K

Area of Science:

  • Epidemiology
  • Mathematical Modeling
  • Public Health

Background:

  • Australia declared measles elimination in 2014, verified by the WHO.
  • Significant regional disparities in vaccination coverage persist nationwide.
  • These coverage gaps pose a risk for future measles outbreaks.

Purpose of the Study:

  • To predict trends in measles transmission using the reproduction number (R).
  • To assess the risk of measles outbreaks across Australian states over the next 20 years.
  • To identify geographic areas with higher susceptibility to outbreaks.

Main Methods:

  • A multiple cohort model of measles immunity, stratified by age and location, was employed.
  • Branching process models were utilized to estimate outbreak probabilities.
  • The study focused on predicting the reproduction number (R) and state-level outbreak risks.

Main Results:

  • The study predicts an increasing risk of large measles outbreaks, especially in Queensland and New South Wales.
  • Geographic variations in predicted R values were observed, indicating localized transmission dynamics.
  • Uncertainty in age-specific immunity estimates affects the precision of the predictions.

Conclusions:

  • The model's predictions correlate with documented measles outbreaks in Australian states.
  • The methodology offers a valuable tool for assessing future outbreak risks in elimination settings.
  • This approach can be adapted for other regions aiming for or maintaining measles elimination.