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3575. Towards a repository for datasets of mass casualty incidents
Invited abstract in session MB-10: EMS and crisis logistics, stream OR in Health Services (ORAHS).
Monday, 10:30-12:00Room: 11 (building: 116)
Authors (first author is the speaker)
| 1. | Melanie Reuter-Oppermann
|
| Maastricht University, ILS Mannheim | |
| 2. | Florentina Hager
|
| CHOIR, University of Twente |
Abstract
Many mathematical models and algorithms to address logistics around mass casualty incidents (MCI) have been proposed in the literature. However, hardly any data sets exist that can be used to analyse, validate and evaluate approaches and solutions. As MCI are comparably rare, real-world data is scarce and often very sensitive, making it difficult for researchers to get access and build test datasets. In this talk, we therefore present the first steps towards a repository to share datasets to facilitate validation and comparison. We first provide an overview of potential stakeholders such as working groups, review existing disaster-related databases and existing repositories for other fields followed by a preliminary taxonomy to identify and structure the relevant entities and their characteristics within models for disaster management.
Keywords
- Disaster and Crisis Management
- Decision Support Systems
Status: accepted
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