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

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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:
Infectious Diseases and Their Occurrence01:28

Infectious Diseases and Their Occurrence

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 temporal or...
Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial evaluating a...
Introduction Cardiac Emergencies01:30

Introduction Cardiac Emergencies

Cardiac emergencies are critical situations involving the heart that require immediate medical intervention to prevent severe complications or death. These emergencies often arise from underlying heart conditions that impair the heart's ability to function correctly.Types of Cardiac EmergenciesThe most common types of cardiac emergencies include Acute Coronary Syndrome (ACS), myocardial infarction (MI), cardiac arrest, and heart failure.Acute Coronary Syndrome (ACS)Acute Coronary Syndrome (ACS)...

You might also read

Related Articles

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

Sort by
Same author

Assessing the living environment of persons displaced following a strong earthquake sequence in Puerto Rico, 2020.

Journal of emergency management (Weston, Mass.)·2024
Same author

Moving From Assessment of Global Health Security to Implementation.

Health security·2023
Same author

Essential public health functions: the key to resilient health systems.

BMJ global health·2023
Same author

Addressing the challenges of implementing evidence-based prioritisation in global health.

BMJ global health·2023
Same author

Maternal mortality in Colombia during the COVID-19 pandemic: time series and social inequities.

BMJ open·2023
Same author

Can severity of a humanitarian crisis be quantified? Assessment of the INFORM severity index.

Globalization and health·2023

Related Experiment Video

Updated: Jul 6, 2026

Integrated Compensatory Responses in a Human Model of Hemorrhage
07:57

Integrated Compensatory Responses in a Human Model of Hemorrhage

Published on: November 20, 2016

Measuring humanitarian emergencies.

Richard Garfield1

  • 1Columbia University School of Nursing, 617 W 168th St, Room 262, New York, NY, USA. rmg3@columbia.edu

Disaster Medicine and Public Health Preparedness
|April 5, 2008
PubMed
Summary

Monitoring humanitarian aid and defining needs remains challenging. This study proposes new measures, combining conflict and disaster data, to better assess humanitarian threats and improve aid distribution equity.

Area of Science:

  • Humanitarian studies
  • Disaster management
  • International aid

Background:

  • Global commitment to humanitarian response is increasing.
  • Current methods for monitoring aid, defining needs, and ensuring equitable distribution are insufficient.
  • There is a gap between the commitment to humanitarian aid and the operational capacity to deliver it effectively.

Purpose of the Study:

  • To identify data sources for defining humanitarian need operationally.
  • To propose new and refined measures for assessing population needs.
  • To present an original measure for quantifying cumulative humanitarian threats.

Main Methods:

  • Review of relevant data sources for humanitarian need assessment.
  • Development of new metrics for evaluating the level of need.

Related Experiment Videos

Last Updated: Jul 6, 2026

Integrated Compensatory Responses in a Human Model of Hemorrhage
07:57

Integrated Compensatory Responses in a Human Model of Hemorrhage

Published on: November 20, 2016

  • Creation of a composite measure integrating conflict and disaster data.

    • Main Results:

    • Identification of key data sources for defining humanitarian needs.
    • Proposal of refined measures to assess the severity of needs among affected populations.
    • Presentation of a novel measure combining conflict and disaster data to quantify humanitarian threats.

    Conclusions:

    • Improved measures are crucial for effective humanitarian aid.
    • A combined approach using conflict and disaster data can better define and address humanitarian needs.
    • Enhanced assessment tools can lead to more equitable and efficient aid distribution.