disaster recovery
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2022 ◽  
Vol 23 (2) ◽  
Simon Feeny ◽  
Trong-Anh Trinh ◽  
Ashton de Silva

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Esmail Heidaranlu ◽  
Asghar Tavan ◽  
Mohsen Aminizadeh

Purpose This study aims to evaluate the functional readiness of selected hospitals in Tehran in the face of biological events focusing on the Coronavirus. Design/methodology/approach The current study is a cross-sectional, descriptive-analytical study, with the research population consisting of four hospitals in Tehran (Ministry of Health, Social Security, Azad and Military University). This study used data collection tools, standardized functional preparedness tools for hospitals using a biological approach and a standardized checklist of biological event preparations for the American Hospital Association. Interviews with the incident and disaster committee director and observation of each hospital’s existing documents, were used to collect data, which was then analyzed using SPSS-16 software. Findings According to the results, the average percentage of total hospital preparedness in biological events is 36.9%. With 53.3%, the selected military hospital has the most preparation, whereas the Ministry of Health has the lowest preparation with 28.3%. Surge capacity management and communication had the most remarkable preparedness rate of 68.75% (adequate preparedness), biological consultants, meeting management and post-disaster recovery had the lowest preparedness rate of 0% (extremely weak preparedness). Practical implications The average functional preparedness of selected hospitals in Tehran was assessed at an insufficient level in this study. Given the recurrence of disease waves, these results are helpful in increasing hospital preparedness for impending events. Improving preparedness in most areas, especially in post-disaster recovery seems necessary. Originality/value Given the COVID-19 pandemic, it is important to assess hospitals’ readiness to increase capacity and respond to this scourge. Few studies have been done in this field in the world. This study investigates this issue in the capital of Iran. The finding of this study suggest authorities’ attention to this issue and the creation of severe and prompt solutions and measures and the use of military hospital experiences to improve biological threat preparedness.

Adrian V. Gheorghe ◽  
Unal Tatar ◽  

2022 ◽  
pp. 351-379
Carina Fonseca Ferreira ◽  
Fernando Ramirez Cortes

R.I. Ogie ◽  
S. James ◽  
A. Moore ◽  
T. Dilworth ◽  
M. Amirghasemi ◽  

2022 ◽  
pp. 197-217
Gregory Smith ◽  
Thilini Ariyachandra

Disaster recovery management requires agile decision making and action that can be supported through business intelligence (BI) and analytics. Yet, fundamental data issues such as challenges in data quality have continued to plague disaster recovery efforts leading to delays and high costs in disaster support. This chapter presents an example of these issues from the 2005 Atlantic hurricane season, where Hurricane Katrina wreaked havoc upon the city of New Orleans forcing the Federal Emergency Management Agency (FEMA) to begin an unprecedented cleanup effort. The chapter brings to light the failings in record keeping during this disaster and highlight how a simple BI application can improve the accuracy and quality of data and save costs. It also highlights the ongoing data driven issues in disaster recovery management that FEMA continues to confront and the need for integrated centralized BI and analytics solutions extending to the supply chain that FEMA needs to become more nimble and effective when dealing with disasters.

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