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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...
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The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
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Health consequences of disasters: Advancing disaster data science.

Leremy A Colf1, Tony McAleavy2

  • 1Fran and Earl Ziegler College of Nursing, University of Oklahoma Health Sciences Center, 1100 N. Stonewall, Oklahoma City, OK 73117, USA.

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Summary

This study compiles 73 U.S. health and disaster data sources to aid researchers and emergency managers. These resources aim to improve disaster preparedness and response by addressing data gaps.

Keywords:
datadisastershealth

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Area of Science:

  • Public Health
  • Disaster Management
  • Data Science

Background:

  • Effective disaster preparedness, response, and mitigation rely on understanding health impacts.
  • Research is hindered by limited disaster data and challenges in identifying relevant health data sources.
  • Numerous requests from disaster researchers and emergency managers highlighted the need for accessible data.

Purpose of the Study:

  • To compile and categorize distinct data sources at the intersection of disasters and health.
  • To provide researchers and emergency managers with a comprehensive list of accessible resources.
  • To support evidence-based decision-making in disaster research and management.

Main Methods:

  • Compiled and categorized 73 distinct data sources relevant to disaster and health research.
  • Ensured data sources generally cover the entire United States.
  • Verified data sources address both disaster and health aspects and are available at little or no cost.

Main Results:

  • A catalog of 73 U.S. data sources at the intersection of disasters and health was created.
  • These sources are characterized to facilitate improved research and decision-making.
  • Data sources are generally accessible to researchers nationwide with minimal cost.

Conclusions:

  • The compiled data sources address critical needs in disaster research and management.
  • Characterization of sources aids in evidence-based decision-making for preparedness and response.
  • Identified gaps and proposed solutions aim to enhance future disaster data collection and utilization.