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

385
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...
385
Bonanno's Theory of Grieving01:17

Bonanno's Theory of Grieving

717
Grieving is a complex psychological and emotional process that varies significantly among individuals. George Bonanno's research on bereavement identified four distinct patterns of grieving, offering a nuanced understanding of how people cope with significant loss, such as the death of a spouse, over extended periods. These patterns — resilience, recovery, chronic dysfunction, and delayed grief — highlight the diversity in emotional responses and adaptive mechanisms.
Resilience
717
Population Growth00:57

Population Growth

27.7K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
27.7K
What are Populations and Communities?00:30

What are Populations and Communities?

36.9K
Overview
36.9K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

616
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
616
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

244
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...
244

You might also read

Related Articles

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

Sort by
Same author

A graph-based spatio-temporal framework for predicting safety-critical pedestrian-vehicle interactions at unsignalized crosswalks.

Accident; analysis and prevention·2026
Same author

Effect of sodium on iron absorption, translocation and allocation in halophilic Amaranthaceae species.

Plant physiology and biochemistry : PPB·2025
Same author

Spatial Access of America: Multiple indicators of accessibility to opportunities.

Scientific data·2025
Same author

Geodemographic analysis of socioeconomic area disparities in tuberculosis incidence in Osaka City, Japan.

Scientific reports·2025
Same author

Directional intermodular coupling enriches functional complexity in biological neuronal networks.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Behaviour-based dependency networks between places shape urban economic resilience.

Nature human behaviour·2024
Same journal

RNA-ligand complexes and the attenuation of neutral confinement in the evolution of RNA secondary structures.

Journal of the Royal Society, Interface·2026
Same journal

Individual detachment-reintegration events in homing pigeon flocks and the dominance of directional adjustment in their kinematic features.

Journal of the Royal Society, Interface·2026
Same journal

Thermal stress disrupts symbiotic fluid dynamics in bobtail squid.

Journal of the Royal Society, Interface·2026
Same journal

Distinct geometrical landscapes distinguish between modes of tristability in gene regulatory networks.

Journal of the Royal Society, Interface·2026
Same journal

Slow modulation of the contraction patterns in Physarum polycephalum.

Journal of the Royal Society, Interface·2026
Same journal

Moo-ving mountains: grazing agents drive terracette formation on steep hillslopes.

Journal of the Royal Society, Interface·2026
See all related articles

Related Experiment Video

Updated: Dec 28, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.5K

Understanding post-disaster population recovery patterns.

Takahiro Yabe1, Kota Tsubouchi2, Naoya Fujiwara3,4

  • 1Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, USA.

Journal of the Royal Society, Interface
|February 20, 2020
PubMed
Summary
This summary is machine-generated.

Community recovery after disasters shows similar patterns across diverse regions. Key factors like income and housing damage influence displacement rates, aiding future disaster resilience policy.

Keywords:
disaster resiliencehuman mobilitymobile phone datapopulation recovery

More Related Videos

A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion
10:31

A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion

Published on: September 25, 2014

13.8K
Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

366

Related Experiment Videos

Last Updated: Dec 28, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.5K
A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion
10:31

A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion

Published on: September 25, 2014

13.8K
Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

366

Area of Science:

  • Disaster resilience research
  • Human mobility studies
  • Socio-economic impact analysis

Background:

  • Limited understanding of community recovery dynamics post-disaster.
  • Growing importance of enhancing community resilience to extreme events.

Purpose of the Study:

  • To investigate macroscopic population recovery patterns in disaster-affected regions.
  • To identify factors influencing displacement rates and recovery trends.
  • To inform policymaking for improved disaster resilience.

Main Methods:

  • Analysis of human mobility trajectories from over 1.9 million mobile phone users.
  • Study conducted across three countries before, during, and after five major disasters.

Main Results:

  • Observed consistent population recovery patterns across diverse disaster types and socio-economic contexts.
  • Identified common factors explaining displacement heterogeneity: median income, population, housing damage, and city connectivity.
  • Demonstrated universal trends in community recovery despite varied regional characteristics.

Conclusions:

  • Large-scale empirical data reveals predictable population recovery patterns post-disaster.
  • Insights can guide policy development for enhancing community resilience.
  • Understanding displacement drivers is crucial for effective disaster response and recovery strategies.