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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...

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

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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.