Early warning system models and components in emergency and disaster: a systematic literature review protocol
Tóm tắt
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. 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. 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. PROSPERO CRD42018116111
Tài liệu tham khảo
Neumayer E, Plümper T, Barthel F. The political economy of natural disaster damage. Glob Environ Chang. 2014. https://doi.org/10.1016/j.gloenvcha.2013.03.011.
The international bank for reconstruction and development. Natural disasters in the Middle East and North Africa: a regional overview. Washington DC: The World Bank; 2014. Available from: http://www.worldbank.org/en/region/mena/publication/ natural-disaster in the Middle East and North Africa. Accessed 8 Oct 2018
Reifels L, Arbon P, Capon A, Handmer J, Humphrey A, Murray V, et al. Health and disaster risk reduction regarding the Sendai Framework. Aust J Emerg Manage. 2018;2:16–21.
Basher R. Global early warning systems for natural hazards: systematic and people-centred. Philos Trans R Soc Lond A. 2006. https://doi.org/10.1098/rsta.2006.1819.
Hyogo framework for action 2005-2015: building the resilience of nations and communities to disasters. Geneva: United Nations Office for Disaster Risk Reduction; 2007. Available from: http://www.unisdr.org/files/1037_hyogoframeworkforactionenglish.pdf. Accessed 10 Oct 2018.
Sendai Framework for Disaster Risk Reduction 2015-2030 – unisdr. Available from: https://www.unisdr.org/we/inform/publications/43291. Accessed 21 Oct 2018.
UNISDR (2012) Terminology. UNISDR (United Nations International Strategy for Disaster Risk Reduction), Geneva. Available from: http://www.unisdr.org/we/inform/terminology. Accessed 18 July 2018.
Seng DSC. Improving the governance context and framework conditions of natural hazard early warning systems. IDRiM J. 2012. https://doi.org/10.5595/idrim.2012.0020.
Lassa J. Measuring the sustainability of tsunami early warning systems: an interdisciplinary research agenda. Georisk. 2008. https://doi.org/10.1080/17499510802369140.
EWC III - Third International Conference on Early Warning - unisdr. Available from: https://www.unisdr.org/2006/ppew/info-resources/ewc3_website/. Accessed 5 Oct 2018.
de León JCV, Bogardi J, Dannenmann S, Basher R. Early warning systems in the context of disaster risk management. Entwickl Ländlicher Raum. 2006;2:23–5.
Saad M, Mazen S, Ezzat E, Zaher H. Towards a conceptual framework for early warning information systems (EWIS) for crisis preparedness. In: Rocha Á, Correia A, Wilson T, Stroetmann K, editors. Advances in information systems and technologies. Advances in intelligent systems and computing: Springer, Berlin, Heidelberg; 2013. p. 523–34.
Waidyanatha N. Towards a typology of integrated functional early warning systems. Int J Crit Infrastructures. 2009;6:31–51.
UNISDR. Global Survey of Early Warning Systems An assessment of capacities, gaps and opportunities toward building a comprehensive global early warning system for all-natural hazards. 2006. Available from: https://www.unisdr.org/we/inform/publications/3612. Accessed 20 July 2018.
Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.