Factor Analysis to Evaluate Hospital Resilience

Cimellaro, Gian Paolo; Malavisi, Marzia; Mahin, Stephen A.

doi:10.1061/ajrua6.0000952

Cited by 36 publications

(20 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various studies have been implemented to quantify resilience from different perspectives to support decision-making. For example, Cimellaro et al ( 111 ) in 2018 used a questionnaire and factor analysis to identify three resilience factors, including cooperation and training management, resources and equipment capability, and structural/organizational operating procedures. A linear combination of the three factors was eventually used to represent HFR.…”

Section: Discussionmentioning

confidence: 99%

Analyzing Healthcare Facility Resilience: Scientometric Review and Knowledge Map

Liao

Yuan

et al. 2021

Front. Public Health

View full text Add to dashboard Cite

In contemporary “high-risk” society, unexpected disasters (epidemics and extreme weather) and chronic pressures (aging problems) put tremendous pressure on healthcare facilities. Enhancing the healthcare facilities' resilience ability to resist, absorb, and respond to disaster disruptions is urgent. This study presents a scientometric review for healthcare facility resilience research. A total of 374 relevant articles published between 2000 and 2020, collected from Web of Science (WoS) core collection database, Scopus database and MEDLINE database were reviewed and analyzed. The results indicated that research on resilience in healthcare facilities went through three development periods, and the research involved countries or institutions that are relatively scattered. The studies have been focused on the subject categories of engineering, public, environmental, and occupational health. The keywords of “resilience,” “hospital,” “disaster,” “healthcare,” and “healthcare facility” had the most frequency. Furthermore, based on the literature co-citation networks and content analysis, the detected seven co-citation clusters were grouped into four knowledge domains: climate change impact, strengthening resilience in response to war and epidemic, resilience assessment of healthcare facility, and the applications of information system. Moreover, the timeline view of literature reflected the evolution of each domain. Finally, a knowledge map for resilience of healthcare facilities was put forward, in which critical research contents, current knowledge gaps, and future research work were discussed. This contribution will promote researchers and practitioners to detect the hot topics, fill the knowledge gaps, and extend the body of research on resilience of healthcare facilities.

show abstract

Section: Discussionmentioning

confidence: 99%

Analyzing Healthcare Facility Resilience: Scientometric Review and Knowledge Map

Liao

Yuan

et al. 2021

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…The calibration of the agent's behavior for the ABM simulations is performed through a questionnaire that has been prepared using the guidelines given by the Theory of Planned Behavior (TPB) (Ajzen, , ; Cimellaro et al., ). Appendix essentially summarizes the procedure for determining the parameters of the human behavior model and how the results of the survey are employed for calibrating the matrix M and obtaining the vectors W and P .…”

Section: Proposed Methodologymentioning

confidence: 99%

Integrating a Human Behavior Model within an Agent‐Based Approach for Blasting Evacuation

Cimellaro

Mahin

Domaneschi

2018

Computer aided Civil Eng

View full text Add to dashboard Cite

Several studies on Emergency Management are available in the literature, but most of them do not consider how the human behavior during an emergency can affect the evacuation process. Therefore, the novel contribution of this article is the implementation of an agent‐based model to describe the evacuation, due to a blast in a public area, integrated with a human behavior analytical model. Each agent has its own behavior that is described in a layered framework. The first layer simulates the “agent's features” function. Then, an “individual module” describes dynamically the emotional aspects using (i) the Decision Field Theory, (ii) a stationary stochastic model, and (iii) the results coming from a questionnaire. An agent‐based model with integrated human behavior is proposed to test critical infrastructures in emergency conditions without performing full scale evacuation tests. Analyses could be performed both in real time with a hazard scenario and at the design level to predict the system response to identify the optimal configuration. Therefore, the development of the proposed methodology could support both designers and policy makers in the decision‐making process.

show abstract

“…e indicators, such as the quality of service and life [10], patient waiting time [11], and functional downtime [12], have been separately adopted to assess the seismic resilience of hospitals. Cimellaro et al [13] proposed a fast methodology for disaster resilience quantification where factor analysis was used to identify representative factors from varieties of dimensions. Iuliis et al [14] proposed an interesting method to evaluate the downtime of building structures from three parts (actual damage, irrational delays, and utilities disruption) by introducing the fuzzy logic, which are expected to increase the accuracy of resilience evaluation.…”

Section: Introductionmentioning

confidence: 99%

A Framework to Assess the Seismic Resilience of Urban Hospitals

Peng

Wang

et al. 2019

Advances in Civil Engineering

View full text Add to dashboard Cite

The phenomenon of hospital functional interruption has been widely observed in the historical moderate-strong earthquakes, indicating that hospital functionality cannot be well considered in the current seismic design methods. The concept of seismic resilience pays enough attention to postearthquake functionality of buildings, and it is particularly significant for the urban hospitals which play critical role in the urban postearthquake rescue and recovery. This study proposes a framework to assess the seismic resilience of urban hospitals, by incorporating the fault tree analysis (FTA) to consider the interdependency between the damage of nonstructural components and the functionality of medical equipment, as well as the effect of external supplies on the functionality of hospital. The proposed framework is then applied to a case-study hospital, and the results indicate that this hospital needs 1.1 days to resume emergency functionality under REDi repair strategy after design basis earthquake (DBE), while it needs 28.8 days to resume emergency functionality under REDi repair strategy after maximum considered earthquake (MCE). It is found that the seismic resilience of this hospital after MCE cannot meet the community requirements on the recovery time, and necessary measures are needed to improve the seismic resilience. The proposed framework provides the quantitative results of seismic resilience assessment in the preearthquake environment and can further support emergency response planning and seismic retrofits strategies.

show abstract

Factor Analysis to Evaluate Hospital Resilience

Cited by 36 publications

References 11 publications

Analyzing Healthcare Facility Resilience: Scientometric Review and Knowledge Map

Analyzing Healthcare Facility Resilience: Scientometric Review and Knowledge Map

Integrating a Human Behavior Model within an Agent‐Based Approach for Blasting Evacuation

A Framework to Assess the Seismic Resilience of Urban Hospitals

Contact Info

Product

Resources

About