Reprint
Disasters Preparedness and Emergency Response: Prevention, Surveillance and Mitigation Planning
Edited by
December 2022
182 pages
- ISBN978-3-0365-6055-7 (Hardback)
- ISBN978-3-0365-6056-4 (PDF)
This book is a reprint of the Special Issue Disasters Preparedness and Emergency Response: Prevention, Surveillance and Mitigation Planning that was published in
Environmental & Earth Sciences
Medicine & Pharmacology
Public Health & Healthcare
Summary
This Special Issue welcomes research papers on new approaches that have been applied or are under development to improve preparedness and emergency response. We especially encourage the submission of inter-disciplinary and crosscutting research. We also encourage the submission of manuscripts that focus on various types of disasters, disaster and emergency research, and on policy or management solutions at multiple scales.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
alcohol; ethanol; pedestrians; traffic accidents; flood; disasters; emergency preparedness; hospital preparedness; Saudi Arabia; first aid; education; basic life support; cardiopulmonary resuscitation; feedback device; simulation; quality; skill retention; motivation; chest recoil; mannequin; contact tracing; ethics; pandemic; psychology; public education; public health; alternative care facilities; disasters; flexible surge capacity; major incidents and disasters; surge capacity; information and communication technology; smart disaster management system; Internet of Things; flood; disaster; flood early warning; flood response; community volunteerism; disaster volunteer group; resilience; governance and planning; disaster management; sustainability; security; safety; crisis management; risk management; emergencies; emergency preparedness; disasters; health emergency; management; disaster legislation; preparedness; COVID-19; stress; stressors; cortisol; medical simulation; low-fidelity simulation; high-fidelity simulation; stress appraisal questionnaire; KOS-B; education; nursing; COVID-19; machine learning; health geomatics; geographic information system; emergency medical services; spatial filtering; geo-AI; resources management