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...
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...
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:

You might also read

Related Articles

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

Sort by
Same author

Assessing implementation of biosecurity practices in Canadian dairy farms: An observational study.

Journal of dairy science·2026
Same author

One Health: Buzzword or opportunity for Canada?

Canadian journal of public health = Revue canadienne de sante publique·2026
Same author

Issues and principles for legitimate and meaningful One Health monitoring.

International journal of public health·2026
Same author

Prioritization of interventions to reduce antimicrobial use in dairy cows: A multicriteria decision analysis.

Preventive veterinary medicine·2026
Same author

Exploring antibiotic stewardship interventions within a One Health context: a scoping review.

Frontiers in public health·2026
Same author

The street as transdisciplinary infrastructure: real world labs in One Urban Health-well-being corner shops in Québec, Canada.

BMC global and public health·2026

Related Experiment Video

Updated: May 26, 2026

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

Spatially explicit multi-criteria decision analysis for managing vector-borne diseases.

Valerie Hongoh1, Anne Gatewood Hoen, Cécile Aenishaenslin

  • 1Groupe de Recherche en Épidémiologie des Zoonoses et Santé Publique (GREZOSP), Pavillon de la santé publique, Université de Montréal, Saint-Hyacinthe, Québec, Canada. valerie.hongoh@gmail.com

International Journal of Health Geographics
|December 31, 2011
PubMed
Summary

Multi-criteria decision analysis (MCDA) offers a unified approach to managing vector-borne diseases by integrating spatial risk data with other factors. This method supports better public health decision-making for prevention and control strategies.

More Related Videos

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus
10:35

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus

Published on: May 31, 2020

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Related Experiment Videos

Last Updated: May 26, 2026

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

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus
10:35

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus

Published on: May 31, 2020

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

  • Public Health
  • Epidemiology
  • Geospatial Analysis

Background:

  • Vector-borne diseases present complex challenges for control due to environmental and social changes.
  • Current spatial models predict disease risk but lack comprehensive data for decision-making.
  • Effective strategies require integrating disease risk with factors like public acceptance, vulnerability, and resources.

Purpose of the Study:

  • To propose a Multi-Criteria Decision Analysis (MCDA)-based approach for vector-borne disease management.
  • To develop geospatial models and decision support tools integrating diverse criteria.
  • To enhance public health decision-making for vector-borne disease prevention and control.

Main Methods:

  • Utilizing Multi-Criteria Decision Analysis (MCDA) as a decision support framework.
  • Integrating spatially explicit disease risk data with other relevant criteria (e.g., vulnerability, resources).
  • Developing geospatial models and decision support tools for transparent evaluation of strategies.

Main Results:

  • MCDA provides a unified strategy for integrating diverse data for disease risk assessment.
  • The approach allows consideration of quantitative and qualitative indicators for evaluating interventions.
  • Spatially explicit decision support tools can be developed using MCDA.

Conclusions:

  • MCDA is a powerful tool for public health decision-making, particularly in vector-borne disease management.
  • This approach enhances the ability to implement effective and targeted prevention and control strategies.
  • MCDA facilitates transparent evaluation of alternative strategies with stakeholder participation.