Citation

Khankeh HR, Hosseini SH, Farrokhi M, Hosseini MA, Amanat N. Syst. Rev. 2019; 8(1): e315.

Affiliation

Health in Emergency and Disaster Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.

Copyright

(Copyright © 2019, Holtzbrinck Springer Nature Publishing Group - BMC)

DOI

10.1186/s13643-019-1211-5

PMID

31810477

Abstract

BACKGROUND: Emergency and disaster are on the rise in the world. One of the most important components of disaster risk management is the early warning system. Studies have shown divergent models of warning systems with different structures. However, since no systematic review of early warning systems in disasters has been conducted so far, a systematic review of the models, components, and structures of these systems is essential. This protocol is a systematic review study, which aims to evaluate the existing warning systems and their structure.

METHODOLOGY: This study attempts to comprehensively search the previous studies with terms and expressions including disaster, emergency model, early warning system, and their synonyms at MESH. To this end, English articles, which have been published from 1980 to 2019, will be assessed. Google Scholar, PubMed, Web of Science, and Scopus databases as well as relevant specialized websites will be searched. Studies will be evaluated by two individuals independently.

DISCUSSION: To the best of our knowledge, no systematic review of models, structures, and components of the early warning system has been conducted so far. This study is the first attempt to comprehensively evaluate the models and components of early warning systems. Accordingly, this study will provide evidence of models, structures and elements of the early warning systems. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018116111.

Language: en

Keywords

Disaster; Early warning system; Emergency; Model; component