Risk analysis of hospitals using GIS and HAZUS: A case study of Yazd County, Iran

Fallah‐Aliabadi, Saeed; Ostadtaghizadeh, Abbas; Ardalan, Ali; Eskandari, Mozhgan; Fatemi, Farin; Mirjalili, Mohammad Reza; Khazai, Bijan

doi:10.1016/j.ijdrr.2020.101552

Cited by 16 publications

(13 citation statements)

References 52 publications

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“…Learning from previous studies, the micro-level preparedness in single healthcare facility is summarized as the following areas: assessing the healthcare facility's structural and non-structural vulnerabilities, mapping the intensity and probability of possible threats, setting emergency plan and protocols, preparing emergency teams and assigning of responsibilities, training for emergency response procedures, and ensuring human and physical resources sufficient with appropriate level and distribution, etc. ( 15 , 21 , 46 , 110 , 115 ). The macro-level preparedness mainly relates to how well a country/region prepares for future disturbances affecting its healthcare system ( 12 ).…”

Section: Discussionmentioning

confidence: 99%

Analyzing Healthcare Facility Resilience: Scientometric Review and Knowledge Map

Liao

Yuan

et al. 2021

Front. Public Health

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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.

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Section: Discussionmentioning

confidence: 99%

Analyzing Healthcare Facility Resilience: Scientometric Review and Knowledge Map

Liao

Yuan

et al. 2021

Front. Public Health

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“…The authors investigated the sensitivity of the Canadian version of HAZUS for flood risk assessment. Another example was presented in [21]. The authors in this paper studied the risk assessment of hospitals in the city of Yazd in Iran.…”

Section: Hazus International Adaptations Seismic Risk Assessment Toolsmentioning

confidence: 99%

Bridge Network Seismic Risk Assessment Using ShakeMap/HAZUS with Dynamic Traffic Modeling

Malekloo

Ramadan

2022

Infrastructures

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Bridge infrastructures are critical nodes in a transportation network. In earthquake-prone areas, seismic performance assessment of infrastructure is essential to identify, retrofit, reconstruct, or, if necessary, demolish the infrastructure systems based on optimal decision-making processes. As one of the crucial components of the transportation network, any bridge failure would impede the post-earthquake rescue operation. Not only the failure of such high-risk critical components during an extreme event can lead to significant direct damages, but it also affects the transportation road network. The consequences of these secondary effects can easily lead to congestion and long queues if the performance of the transportation system before or after an event was not analyzed. These indirect losses can be more prominent compared to the actual damage to bridges. This paper brings about seismic performance assessment for the Cyprus transportation network from which the decision-making platform can be modeled and implemented. This study employs a seismic hazard analysis based on generated USGS ShakeMap scenarios for the risk assessment of the transportation network. Furthermore, identification of the resiliency and vulnerability of the transportation road network is carried out by utilizing the graph theory concept at the network level. Moreover, link performance measures, i.e., traffic modeling of the study region is simulated in a dynamic traffic assignment (DTA) simulation environment. Finally, for earthquake loss analysis of the bridges, the HAZUS loss estimation tool is used. The results of our investigations for three different earthquake scenarios have shown that seismic retrofitting of bridges is a cost-effective measure to reduce the structural and operational losses in the region.

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“…1 ). The area of this city is 2397 square kilometers and its population is 582682 people [ 19 ]. The presence of numerous medical centers in this city, many patients from neighboring cities and even provinces come to Yazd in the normal situation.…”

Section: Introductionmentioning

confidence: 99%

Investigating the impacts of socio-economic vulnerability indicators on COVID-19: A case study of Yazd, Iran

Fatemi

Fallah‐Aliabadi

Sarsangi

et al. 2023

International Journal of Disaster Risk Reduction

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Risk analysis of hospitals using GIS and HAZUS: A case study of Yazd County, Iran

Cited by 16 publications

References 52 publications

Analyzing Healthcare Facility Resilience: Scientometric Review and Knowledge Map

Analyzing Healthcare Facility Resilience: Scientometric Review and Knowledge Map

Bridge Network Seismic Risk Assessment Using ShakeMap/HAZUS with Dynamic Traffic Modeling

Investigating the impacts of socio-economic vulnerability indicators on COVID-19: A case study of Yazd, Iran

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