The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Seismic resilience of a hospital system
Abstract
This paper presents a comprehensive model to quantify disaster resilience of systems that is defined as the capability to sustain functionality and recover from losses generated by extreme events. The model combines loss estimation and recovery models and can be applied to critical facilities (e.g. hospitals, military buildings, etc.), as well as utility lifelines (e.g. electric power systems, transportation networks, water systems etc.) that are crucial to the response of recovery processes, decisions and policies. Current research trend leads toward the definition of complex recovery models that are able to describe the process over time and the spatial definition of recovery (e.g. meta-models for the case of health care facilities). The model has been applied to a network of hospitals in Memphis, Tennessee. The resilience framework can be used as a decision support tool to increase the resilience index of systems, such as health care facilities, and reduce disaster vulnerability and consequences.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Kendra, J. M., & Wachtendorf, T. (2003) · Disasters · doi:10.1111/1467-7717.00218 · Cited by 574
Outpatient clinic waiting times and non-attendance as indicators of quality
McCarthy, K., McGee, H. M., & O'Boyle, C. A. (2000) · Psychology, Health & Medicine · doi:10.1080/713690194 · Cited by 135
Cited by
A review of definitions and measures of system resilience
Hosseini, S., Barker, K., & Ramirez-Marquez, J. E. (2016) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2015.08.006 · Cited by 1,892
Metadata
- Authors
- Cimellaro, G. P., Reinhorn, A. M., & Bruneau, M.
- Venue
- Structure and Infrastructure Engineering
- Publisher
- Informa UK Limited
- Published
- 2010-02
- Volume
- 6
- Issue
- 1-2
- Pages
- 127-144
- ISSN
- 1573-2479 (ISSN-L)
- 1744-8980
- OpenAlex
- W2072642080
- Cited by
- 649
- References
- 2
- FWCI
- 24.34
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Seismic resilience of a hospital system. https://app.cochat.ai/papers/10.1080/15732470802663847
- The paper
- Cimellaro, G. P., Reinhorn, A. M., & Bruneau, M. (2010). Seismic resilience of a hospital system. Structure and Infrastructure Engineering. https://doi.org/10.1080/15732470802663847
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.