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...
Data Collection III01:05

Data Collection III

The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.
Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
Data Collection by Survey01:07

Data Collection by Survey

The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...

You might also read

Related Articles

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

Sort by
Same author

Interventions to mitigate emergency department and hospital crowding during an infectious respiratory disease outbreak: results from an expert panel.

PLoS currents·2013
Same author

Author reply: To PMID 22985793.

Prehospital and disaster medicine·2013
Same author

Disaster curricula in medical education: pilot survey.

Prehospital and disaster medicine·2012
Same author

A human factors analysis of an EMS crew's exposure to carbon monoxide.

Prehospital and disaster medicine·2012
Same author

A survey of national physicians working in an active conflict zone: the challenges of emergency medical care in Iraq.

Prehospital and disaster medicine·2012
Same author

A novel intervention for decreasing hospital crowding following the blizzards of 2010.

American journal of disaster medicine·2011

Related Experiment Video

Updated: May 27, 2026

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

Challenges in disaster data collection during recent disasters.

Melinda Morton1, J Lee Levy

  • 1Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. melinda.morton@gmail.com

Prehospital and Disaster Medicine
|November 24, 2011
PubMed
Summary
This summary is machine-generated.

Collecting critical health data during disasters is challenging due to various barriers. Innovative approaches like GIS mapping and community involvement can improve disaster data collection and response effectiveness.

More Related Videos

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

Related Experiment Videos

Last Updated: May 27, 2026

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

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

Area of Science:

  • Disaster medicine
  • Public health surveillance
  • Health informatics

Background:

  • Disaster-producing events present significant challenges to collecting essential health data.
  • Barriers include environmental hazards, security, political/economic issues, cultural differences, and communication gaps between aid agencies.
  • Timely data on morbidity, mortality, needs assessments, and nutrition are often impeded.

Purpose of the Study:

  • To review challenges in collecting health data during disaster relief efforts.
  • To explore innovative methods for overcoming these data collection barriers.
  • To assess the potential of new techniques in improving disaster response.

Main Methods:

  • Review of challenges encountered during the Indian Ocean tsunami, Hurricane Katrina, and the 2010 Haiti earthquake.
  • Identification and analysis of innovative data collection and coordination strategies.
  • Examination of case studies illustrating the application of these strategies.

Main Results:

  • Key challenges identified include logistical, political, cultural, and communication barriers.
  • Innovative approaches include Geographical Information Systems (GIS) for mapping, internet surveillance, personal digital assistant (PDA)-based data collection, community stakeholder involvement, and pre-established collaborative networks.
  • Civil-military collaboration is also explored as a potential solution.

Conclusions:

  • Overcoming data collection challenges in disaster settings requires innovative technological and collaborative strategies.
  • The successful application of GIS, digital platforms, and community engagement shows promise for enhancing disaster data collection.
  • Future efforts should focus on integrating these techniques to improve the speed and effectiveness of medical relief.