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

Fundamental Attribution Error01:14

Fundamental Attribution Error

12.9K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
12.9K
Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

7.4K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
7.4K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

152
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:
152
Longitudinal Studies01:26

Longitudinal Studies

187
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
187
Longitudinal Research02:20

Longitudinal Research

12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K
Specialized Care Centers and Settings-II01:30

Specialized Care Centers and Settings-II

756
Rural Health Centers
Rural health centers are specialized care facilities in remote locations with very few medical personnel. The primary care providers who run the centers are mostly Registered Nurse Practitioners. Here, emergency treatment is provided to critically ill or injured patients before they are transferred to the closest hospital. Fortunately, due to advancement in technology, many rural healthcare facilities and professionals have easy access to diagnostic and treatment...
756

You might also read

Related Articles

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

Sort by
Same author

Excess mortality in Europe estimated by EuroMOMO during the COVID-19 pandemic and previous influenza seasons.

Nature communications·2026
Same author

Childhood contact with social services, self-harm and suicidal or self-harm ideation in young adulthood: a population-wide record-linkage study.

Epidemiology and psychiatric sciences·2025
Same author

'Challenging but ultimately rewarding' - lived experiences of Deep End Northern Ireland GPs: a qualitative study.

The British journal of general practice : the journal of the Royal College of General Practitioners·2024
Same author

Uptake of COVID-19 vaccinations amongst 3,433,483 children and young people: meta-analysis of UK prospective cohorts.

Nature communications·2024
Same author

Risk of COVID-19 death in adults who received booster COVID-19 vaccinations in England.

Nature communications·2024
Same author

Childhood contact with social services and risk of suicide or sudden death in young adulthood: identifying hidden risk in a population-wide cohort study.

Journal of epidemiology and community health·2023

Related Experiment Video

Updated: Jul 21, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K

Predictors and Consequences of Homelessness: Protocol for a Cohort Study Design Using Linked Routine Data.

Eileen Mitchell1, Dermot O'Reilly1, Diarmuid O'Donovan1

  • 1Centre for Public Health, Queen's University, Belfast, United Kingdom.

JMIR Research Protocols
|July 27, 2023
PubMed
Summary

This study links health and housing data to understand homelessness in Northern Ireland. Findings will identify key risk factors and health consequences for this vulnerable population.

Keywords:
administrative datadata linkagehealth care usehomelessnesshousingmortality

More Related Videos

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

13.6K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K

Related Experiment Videos

Last Updated: Jul 21, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K
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

13.6K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K

Area of Science:

  • Public Health
  • Health Services Research
  • Social Epidemiology

Background:

  • Homelessness affects over 100 million globally, with individuals experiencing higher rates of poor physical and mental health.
  • Administrative data is increasingly vital for understanding homelessness dynamics and impacts.
  • Homeless populations face significant health disparities compared to the general population.

Purpose of the Study:

  • To integrate administrative health care and social housing data to identify predictors and consequences of homelessness.
  • To gain a comprehensive understanding of the factors contributing to and resulting from homelessness.
  • To inform targeted interventions and policies for individuals experiencing homelessness.

Main Methods:

  • Linking administrative health and social care databases across Northern Ireland.
  • Conducting descriptive analyses to identify trends in homelessness.
  • Investigating risk factors associated with key health and social outcomes for the homeless population.

Main Results:

  • Results will be disseminated to stakeholders, presented at conferences, and published in academic journals.
  • Policy briefing notes will be developed to inform policymakers on key findings.
  • The study will provide data-driven insights into the health and social care needs of the homeless population.

Conclusions:

  • This research will identify predictors and consequences of homelessness in Northern Ireland by utilizing linked administrative data.
  • The study aims to elucidate trends and outcomes within this vulnerable group using routinely collected health and social care information.
  • Findings will contribute to evidence-based strategies for addressing homelessness and improving health outcomes.