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

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

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

44
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...
44
Causality in Epidemiology01:21

Causality in Epidemiology

395
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...
395
Criteria for Causality: Bradford Hill Criteria - I01:30

Criteria for Causality: Bradford Hill Criteria - I

274
The Bradford Hill criteria are a group of principles that provide a framework to determine a causal relationship between a specific factor and a disease. There are nine criteria that are pivotal in assessing causality in epidemiological studies. Here's a closer look at Strength, Consistency, Specificity, and Temporality criteria with definitions and examples:
274
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

74
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...
74
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

123
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:
123
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

125
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
125

You might also read

Related Articles

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

Sort by
Same author

Causal effects of wildfire PM<sub>2.5</sub> on hospital costs and length of stay in Brazil.

Nature communications·2026
Same author

Global Inequality and Injustice in Mortality Burden from Floods and Landscape Fire-Sourced Air Pollution.

Health data science·2026
Same author

High-Resolution Spatiotemporal Characterization of PM<sub>2.5</sub> across On-Road Microenvironments Using Large-Scale Taxi-Based Mobile Monitoring in a Chinese City.

Environmental science & technology·2026
Same author

Regional variations in emergency care vulnerability to summer heat.

Nature communications·2026
Same author

Sociodemographic Disparities in Global Compound Event Exposure for Cold Spells and PM<sub>2.5</sub> Pollutions.

Environmental science & technology·2026
Same author

Decomposition of cross-country socioeconomic inequality in mortality by 288 causes of death and 84 risk factors from 1990 to 2021.

Nature communications·2026

Related Experiment Video

Updated: Jun 27, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K

Floods and cause-specific mortality in the UK: a nested case-control study.

Yao Wu1, Danijela Gasevic1, Bo Wen1

  • 1School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.

BMC Medicine
|May 7, 2024
PubMed
Summary

Long-term flood exposure increases mortality risk. The health impacts vary over time, with different vulnerable groups identified for specific causes of death, highlighting the lasting health consequences of flooding.

Keywords:
FloodsLong-termMortalityNatural disaster

More Related Videos

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.2K
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

2.0K

Related Experiment Videos

Last Updated: Jun 27, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.2K
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

2.0K

Area of Science:

  • Environmental Health
  • Epidemiology
  • Public Health

Background:

  • Floods are frequent global disasters with significant health impacts.
  • Long-term health consequences of flood exposure are understudied.

Purpose of the Study:

  • To investigate the long-term effects of flood exposure on all-cause and cause-specific mortality.
  • To identify varying health impacts and vulnerable populations over time following flood events.

Main Methods:

  • Utilized UK Biobank data (499,487 participants) linked with flood data from the Dartmouth Flood Observatory.
  • Calculated annual cumulative flood exposure using duration and severity.
  • Employed a nested case-control analysis with a distributed lag non-linear model to assess mortality risks.

Main Results:

  • A 6.7% increase in all-cause mortality risk was observed per unit increase in flood index.
  • Mortality risk from neurological and mental diseases peaked 3-4 years post-flood, while suicide risk was highest in the current year, diminishing by year 5.
  • Higher education and income correlated with increased mortality risk for most causes, but suicide risk was higher in deprived populations with specific lifestyle factors.

Conclusions:

  • Long-term flood exposure is linked to elevated mortality risk.
  • Health outcomes and vulnerable populations differ based on the time elapsed since the flood event.
  • Findings enhance understanding of the persistent public health burden of flooding.