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

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,...
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:
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:
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...
Causality in Epidemiology01:21

Causality in Epidemiology

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...
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...

You might also read

Related Articles

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

Sort by
Same author

Rapid and Sensitive Detection of <i>Schistosoma mansoni</i> in the Intermediate Snail Hosts Using Loop-Mediated Isothermal Amplification (LAMP) Diagnostics.

Tropical medicine and infectious disease·2026
Same author

Measuring children's spatial accessibility to urban park green spaces.

Scientific reports·2026
Same author

Subnational inequalities and spatially varying associations of elevated blood glucose among women in India: a national district-level biomarkers analysis.

BMC public health·2026
Same author

Evaluation of antimicrobial resistance governance across 193 countries to inform the 2026 Global Action Plan update.

Nature medicine·2026
Same author

Climate extremes and the dynamic reshaping of snail habitat: implications for the spatiotemporal heterogeneity of schistosomal vulnerability in Brazil.

Acta tropica·2025
Same author

From endemic shadows to the light of dawn: the 120-year journey of China's anti-schistosomiasis chariot.

Infectious diseases of poverty·2025

Related Experiment Video

Updated: May 27, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

New tools for epidemiology: a space odyssey.

Robert Bergquist1

  • 1robert.bergquist@yahoo.se

Memorias Do Instituto Oswaldo Cruz
|November 30, 2011
PubMed
Summary

Geographical Information Systems (GIS) integrate satellite data for disease mapping. This approach analyzes environmental factors influencing infectious disease spread, aiding epidemiological research and public health.

Area of Science:

  • Environmental Science
  • Epidemiology
  • Geographic Information Science

Background:

  • Geographical Information Systems (GIS) are crucial for accessing and visualizing epidemiological data.
  • Environmental variables from earth-observing satellites, such as land cover and temperature, complement GIS analyses.
  • Understanding disease distribution relies on the specific environmental needs of infectious agents and their hosts/vectors.

Purpose of the Study:

  • To discuss the capabilities of satellite data collection for epidemiological research.
  • To highlight the utility of computer-based Earth models and GIS in analyzing disease distribution.
  • To emphasize the advantages of virtual globes over conventional maps for importing diverse datasets.

Main Methods:

  • Utilizing Geographical Information Systems (GIS) for spatial analysis of epidemiological data.

More Related Videos

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Related Experiment Videos

Last Updated: May 27, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

  • Integrating environmental data from earth-observing satellites (land cover, temperature, rainfall).
  • Employing computer-based Earth models and virtual globes for data visualization and import.

    • Main Results:

    • GIS and satellite data enable analysis of disease distribution based on environmental characteristics.
    • Environmental factors, including host/vector requirements and ambient temperature, restrict disease spread.
    • Virtual globes offer enhanced capabilities for importing and displaying relevant datasets compared to traditional maps.

    Conclusions:

    • Satellite data integrated with GIS provides powerful tools for epidemiological research.
    • Environmental factors are critical determinants in the spatial distribution of infectious diseases.
    • Advanced visualization tools like virtual globes improve the analysis and understanding of disease patterns.