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Perspectives on Preparedness for Chemical, Biological, Radiological, and Nuclear Threats in the Middle East and North Africa Region: Application of Artificial Intelligence Techniques.
Farhat, Hassan; Alinier, Guillaume; Helou, Mariana; Galatis, Ionnais; Bajow, Nidaa; Jose, Denis; Jouini, Sarra; Sezigen, Sermet; Hafi, Samia; Mccabe, Sheena; Somrani, Naoufel; Aifa, Kawther El; Chebbi, Henda; Amor, Asma Ben; Kerkeni, Yosra; Al-Wathinani, Ahmed M; Abdulla, Nassem Mohammed; Jairoun, Ammar Abdulrahman; Morris, Brendon; Castle, Nicholas; Al-Sheikh, Loua; Abougalala, Walid; Dhiab, Mohamed Ben; Laughton, James.
Afiliación
  • Farhat H; Hassan Farhat, MRes, MSc, is a Quality Improvement Mentor, Quality Patient Safety and Risk Management, Ambulance Service Group, Hamad Medical Corporation, Doha, Qatar; PhD Candidate, Faculty of Medicine "Ibn El Jazzar," University of Sousse, Sousse, Tunisia; and PhD Candidate, Faculty of Sciences, U
  • Alinier G; Guillaume Alinier, PhD, MPhys (Hons), PGCert, SFHEA, NTF, is Director of Research, Ambulance Service, Hamad Medical Corporation, Doha, Qatar; Visiting Professor, School of Health and Social Work, University of Hertfordshire, Hatfield, UK; Adjunct Professor, Weill Cornell Medicine-Qatar, Doha, Qatar;
  • Helou M; Mariana Helou, MD, MSc DM, is a Clinical Assistant Professor and Clerkship Director of Emergency Room, Division Head of Emergency Medicine, Internal Medicine Department - Emergency, Medicine Gilbert and Rose-Marie Chagoury School of Medicine, The Ambulance Service, Hamad Medical Corporation, Doha, Q
  • Galatis I; Ionnais Galatis, Brigadier General (ret.), MD, MSc, MC, is an MD Consultant in Allergy & Clinical Immunology, Medical/Hospital/Ops CBRNE Planner/Instructor, Senior Asymmetric Threats Analyst, and Research Associate, Center for Security Studies (KEMEA), Athens, Greece; Manager, CBRN Knowledge Cen
  • Bajow N; Nidaa Bajow, MD, PhD, is Disaster Medicine Coordinator and Disaster Medicine Training Supervisor, Disaster Medicine Unit, Emergency Department Security Force Hospital Riyadh, Saudi Arabia, The Ambulance Service, Hamad Medical Corporation, Doha, Qatar.
  • Jose D; Denis Jose, Pharm D, PhD, is Colonel, Head, Pharmaceutical Services, and Technical Adviser on Toxicological and CBRNE Risk Management, Alpes-Maritimes Fire and Rescue Services, Paris, France, The Ambulance Service, Hamad Medical Corporation, Doha, Qatar.
  • Jouini S; Sarra Jouini, MD, is Emergency Coordinator, Emergency Department, Charles Nicolle Hospital, and an Associate Professor, EL Manar University, Faculty of Medicine of Tunis, Tunis, Tunisia, The Ambulance Service, Hamad Medical Corporation, Doha, Qatar.
  • Sezigen S; Sermet Sezigen, MD, PhD, is an Associate Professor, Department of Medical CBRN Defense, University of Health Sciences, Ankara, Turkey, The Ambulance Service, Hamad Medical Corporation, Doha, Qatar.
  • Hafi S; Samia Hafi, MD, is Head of SAMU(EMS), Hospital of Gabes, Gabes, Tunisia, The Ambulance Service, Hamad Medical Corporation, Doha, Qatar.
  • Mccabe S; Sheena Mccabe, MSc, is a Consultant Lecture for BSc in Crisis and Emergency Management, Ras Laffan Emergency and Safety College, Ras Laffan, Qatar, The Ambulance Service, Hamad Medical Corporation, Doha, Qatar.
  • Somrani N; Naoufel Somrani, MD, is General Director of Public Health Facilities, Ministry of Health, Tunis, Tunisia, The Ambulance Service, Hamad Medical Corporation, Doha, Qatar.
  • Aifa KE; Kawther El Aifa, MSc, is a Quality Management/Improvement Reviewer, The Ambulance Service, Hamad Medical Corporation, Doha, Qatar.
  • Chebbi H; Henda Chebbi, MD, is Assistant Director of Emergency Medicine Unit, Strategic Health Operations Center (SHOCR Room), Emergency Medicine Directorate, Ministry of Health, Tunis, Tunisia, at King Saud University, Riyadh, Saudi Arabia.
  • Amor AB; Asma Ben Amor, MRes, is a Paramedicine Professor, Higher School of Health Sciences and Technologies of Sousse, and a PhD Candidate, Faculty of Medicine "Ibn El Jazzar," University of Sousse, Sousse, Tunisia, at King Saud University, Riyadh, Saudi Arabia.
  • Kerkeni Y; Yosra Kerkeni, MD, is Emergency Coordinator, Emergency Medicine, Ministry of Health, Tunis, Tunisia, at King Saud University, Riyadh, Saudi Arabia.
  • Al-Wathinani AM; Ahmed M. Al-Wathinani, MHA, PhD, is Vice Dean of Academic Affairs, College of Applied, Business Administration; Chairman of the Emergency Medical Services Department; Associate Professor of Emergency and Disaster Management, Prince Sultan Bin Abdulaziz College for Emergency Medical Services, at King
  • Abdulla NM; Nassem Mohammed Abdulla, PhD, is Head of Department, Health and Safety Department, Dubai Municipality, Dubai, United Arab Emirates, in Doha, Qatar.
  • Jairoun AA; Ammar Abdulrahman Jairoun, PhD, is Senior Consumables Material Inspection Officer, Health and Safety Department, Dubai Municipality, Dubai, United Arab Emirates; and Head of Department, Discipline of Clinical Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malay
  • Morris B; Brendon Morris, MRes, MTec, is Executive Director, Major Incident Planning and Resilience, The Ambulance Service, Hamad Medical Corporation, Doha, Qatar.
  • Castle N; Nicholas Castle, PhD FIMC, is Interim Executive Director, The Ambulance Service, Hamad Medical Corporation, Doha, Qatar.
  • Al-Sheikh L; Loua Al-Sheikh, MBChB, BSc(Hons), FRCA, is Medical Director, The Ambulance Service, Hamad Medical Corporation, Doha, Qatar.
  • Abougalala W; Walid Abougalala, MBBS, EMDM, JMC(EM), MSc, MAo, MEdu, is a Consultant Emergency Preparedness and Response Department, Ministry of Public Health; Chairman, Corporate Facility Management and Safety Committee; and Consultant Emergency and Disaster Medicine, Hamad Medical Corporation, in Doha, Qatar.
  • Dhiab MB; Mohamed Ben Dhiab, MD, is Vice Dean, Academic Affairs, Faculty of Medicine "Ibn El Jazzar," University of Sousse, and Professor of Forensic and Legal Medicine, Farhat Hached Academic Hospital, Sousse, Tunisia.
Health Secur ; 22(3): 190-202, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38335443
ABSTRACT
Over the past 3 decades, the diversity of ethnic, religious, and political backgrounds worldwide, particularly in countries of the Middle East and North Africa (MENA), has led to an increase in the number of intercountry conflicts and terrorist attacks, sometimes involving chemical and biological agents. This warrants moving toward a collaborative approach to strengthening preparedness in the region. In disaster medicine, artificial intelligence techniques have been increasingly utilized to allow a thorough analysis by revealing unseen patterns. In this study, the authors used text mining and machine learning techniques to analyze open-ended feedback from multidisciplinary experts in disaster medicine regarding the MENA region's preparedness for chemical, biological, radiological, and nuclear (CBRN) risks. Open-ended feedback from 29 international experts in disaster medicine, selected based on their organizational roles and contributions to the academic field, was collected using a modified interview method between October and December 2022. Machine learning clustering algorithms, natural language processing, and sentiment analysis were used to analyze the data gathered using R language accessed through the RStudio environment. Findings revealed negative and fearful sentiments about a lack of accessibility to preparedness information, as well as positive sentiments toward CBRN preparedness concepts raised by the modified interview method. The artificial intelligence analysis techniques revealed a common consensus among experts about the importance of having accessible and effective plans and improved health sector preparedness in MENA, especially for potential chemical and biological incidents. Findings from this study can inform policymakers in the region to converge their efforts to build collaborative initiatives to strengthen CBRN preparedness capabilities in the healthcare sector.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial Límite: Humans País/Región como asunto: Africa / Asia Idioma: En Revista: Health Secur Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial Límite: Humans País/Región como asunto: Africa / Asia Idioma: En Revista: Health Secur Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos