Data and code to evaluate earthquake simulations and design effective plans for hospital system response to earthquake emergencies
Abstract/Contents
- Abstract
- The data here contains earthquake simulations of casualties and hospital functionality after a M 8.0 earthquake in Lima. The code here optimizes the use of resources for four emergency plans to treat injuries effectively. The code uses Python 2.7.
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | January 2019 |
Creators/Contributors
| Author | Ceferino, Luis |
|---|
Subjects
| Subject | Lima |
|---|---|
| Subject | earthquakes |
| Subject | hospitals |
| Subject | resilience |
| Subject | casualties |
| Genre | Dataset |
Bibliographic information
| Related Publication | L. Ceferino, J. Mitrani-Reiser, A. S. . Kiremidjian, G. G. Deierlein, and C. Bambarén (2020) “Effective Plans for Hospital System Response to Earthquake Emergencies,” Nature Communications. |
|---|---|
| Location | https://purl.stanford.edu/jv687qv8300 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).
Preferred citation
- Preferred Citation
- Ceferino, Luis. (2019). Data and code to evaluate earthquake simulations and design effective plans for hospital system response to earthquake emergencies. Stanford Digital Repository. Available at: https://purl.stanford.edu/jv687qv8300
Collection
Stanford Research Data
View other items in this collection in SearchWorksContact information
- Contact
- lceferinor@gmail.com
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