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

87
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...
87
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

47
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
47
Framing Effects03:26

Framing Effects

7.4K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.4K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

101
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
101
Relative Risk01:12

Relative Risk

174
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
174
Manipulation and Analysis01:21

Manipulation and Analysis

26
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
26

You might also read

Related Articles

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

Sort by
Same author

Forensic investigations of disasters: Past achievements and new directions.

Jamba (Potchefstroom, South Africa)·2023
Same author

Disaster risk reduction in mountain areas: an initial overview on seeking pathways to global sustainability.

Journal of mountain science·2022
Same author

Disaster risk reduction in mountain areas: a research overview.

Journal of mountain science·2022
Same author

Rethinking the interplay between affluence and vulnerability to aid climate change adaptive capacity.

Climatic change·2020
Same author

Contribution of the International Consortium on Landslides to the implementation of the Sendai Framework for Disaster Risk Reduction: engraining to the Science and Technology Roadmap.

Landslides·2020
Same author

Communication With Children and Families About Disaster: Reviewing Multi-disciplinary Literature 2015-2017.

Current psychiatry reports·2018

Related Experiment Video

Updated: Jul 5, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.0K

Revisiting frameworks: Have they helped us reduce disaster risk?

Ben Wisner1,2, Irasema Alcántara-Ayala3

  • 1Institute for Risk and Disaster Reduction, University College London, England, United Kingdom.

Jamba (Potchefstroom, South Africa)
|January 15, 2024
PubMed
Summary
This summary is machine-generated.

This study reviews disaster risk reduction (DRR) frameworks, highlighting their evolution and impact on policy. Effective disaster risk governance requires addressing resource limitations and ensuring accountability.

Area of Science:

  • Disaster Risk Reduction (DRR)
  • Environmental Science
  • Public Policy

Background:

  • Growing global disaster impact necessitates effective disaster risk reduction (DRR) strategies.
Keywords:
accountabilitydisaster risk frameworksdisaster risk managementdisaster risk reductioneffective disaster risk governancepolicymaking and practiceresponsibility

More Related Videos

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.1K
Evaluating Dryocosmus Kuriphilus-induced Damage on Castanea Sativa
07:14

Evaluating Dryocosmus Kuriphilus-induced Damage on Castanea Sativa

Published on: August 30, 2018

7.2K

Related Experiment Videos

Last Updated: Jul 5, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.0K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.1K
Evaluating Dryocosmus Kuriphilus-induced Damage on Castanea Sativa
07:14

Evaluating Dryocosmus Kuriphilus-induced Damage on Castanea Sativa

Published on: August 30, 2018

7.2K
  • Previous research focused on mitigating loss of life, injury, livelihoods, and infrastructure damage.
  • This paper synthesitsizes insights from established disaster risk frameworks.