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Published on: July 27, 2018
Enhancing community-based disaster preparedness with information technology
Douglas A Troy1, Anne Carson, Jean Vanderbeek
1Computer Science and Systems Analysis Department, Miami University, Oxford, OH 45056, US. troyda@muohio.edu
A pilot study shows that a collaborative, technology-enabled local resource database strengthens community-based disaster preparedness (CBDP). This approach enhances resource mobilization and community awareness for effective disaster response.
Area of Science:
- Disaster Management and Community Resilience
- Information Science and Technology in Public Health
- Public Administration and Emergency Services
Background:
- Effective community-based disaster preparedness (CBDP) relies on accessible local resource databases.
- Maintaining these databases can be a shared responsibility among non-governmental organizations (NGOs) and community entities.
- Such databases improve resource mobilization, community awareness, and local knowledge assessment.
Purpose of the Study:
- To pilot the implementation of a community-based resource database.
- To explore collaborative models for database maintenance involving NGOs and community organizations.
- To assess the impact of information technology on CBDP.
Main Methods:
- Pilot study involving local American Red Cross chapters and community organizations.
- Development and description of an internet and offline accessible resource database.
- Utilized laptops and Personal Digital Assistants for accessibility.
Main Results:
- Successful pilot implementation of a collaborative community-based resource database.
- Demonstrated the feasibility of using both online and offline technologies for access.
- Highlighted the value of inter-organizational collaboration in disaster preparedness.
Conclusions:
- Community-based disaster preparedness is significantly enhanced by integrating appropriate information technology.
- Collaborative relationships between NGOs and community-based organizations are crucial for effective CBDP.
- The developed resource database model offers a scalable solution for improving local disaster response capabilities.
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