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. 2022 Apr:14:100228.
doi: 10.1016/j.pdisas.2022.100228. Epub 2022 Apr 4.

Evaluating the network of stakeholders in Multi-Hazard Early Warning Systems for multiple hazards amidst biological outbreaks: Sri Lanka as a case in point

Ravindu Jayasekara  1 , Chandana Siriwardana  1 , Dilanthi Amaratunga  2 , Richard Haigh  2
Affiliations

Evaluating the network of stakeholders in Multi-Hazard Early Warning Systems for multiple hazards amidst biological outbreaks: Sri Lanka as a case in point

Ravindu Jayasekara et al. Prog Disaster Sci. 2022 Apr.

Abstract

Synergized impacts of simultaneous hazards amidst COVID-19 have called for the need for highly collaborative multi-sectoral approaches for disaster preparedness planning. In such a context, this study aims at evaluating the network of stakeholders in the National Early Warning System of Sri Lanka during preparedness planning. Social Network Analysis was used to visualise the network of stakeholders for selected hazard scenarios. Furthermore, a series of key informant interviews were conducted focusing on disaster preparedness planning during the recent multiple hazard scenarios. The findings highlight the need for a framework to guide the stakeholder coordination in preparedness planning for multiple hazards.

Keywords: COVID-19; Multi-Hazard Early Warning; Multi-sectoral approach; Simultaneous hazards; Systemic risk.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Selection of key informants for interviews.
Fig. 2
Fig. 2
Communication network diagram of stakeholders pertaining to hazard scenario I.
Fig. 3
Fig. 3
Communication network diagram of stakeholders pertaining to hazard scenario II.
Fig. 4
Fig. 4
Communication network diagram of stakeholders pertaining to hazard scenario III.
Fig. 5
Fig. 5
Communication network diagram of stakeholders pertaining to hazard scenario IV.
See this image and copyright information in PMC

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