Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/515278
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dc.contributor.advisorSarah Aziz Abdul Ghani Aziz, Assoc. Prof. Dr.
dc.contributor.authorKhoo Lay See (P80460)
dc.date.accessioned2023-10-16T08:29:23Z-
dc.date.available2023-10-16T08:29:23Z-
dc.date.issued2019-01
dc.identifier.otherukmvital:110169
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/515278-
dc.descriptionThe Sendai Framework for Disaster Risk Reduction (2015-2030) (“Sendai Framework”) adopted at the Third United Nations World Conference on Disaster Risk Reduction succeeded the Hyogo Framework for Action (2005-2015), shifting the emphasis from reducing disaster losses or impacts to reducing the scale and impact of disaster risks. The need to address risks serves as the departure point of this thesis, where the Disaster Victim Identification (“DVI”) process is looked at to see options of translating DVI information and practice to reduce risks faced by first responders in a disaster. DVI is used to identify victims of mass casualty, relying on multiple disciplines to help identify, determine cause and nature of death and injuries. The information obtained from DVI forms part of forensic medical sciences, which can be of great use to help reduce risk, by providing timely information in real-time to assist first responders in disaster situations, such as incidents involving exposure to dangerous chemical or biological threats. It can help determine the appropriate protective measures while providing the right methods to recover the dead victims on-site. Despite having access to forensic medical sciences, DVI has yet to be formally used to help develop procedures that can help reduce risks, as there seems to be a missing link that can help structure and transmit DVI information for Disaster Risk Reduction (“DRR”). Means as to how DVI can be incorporated into the DRR process, and how it can be used to help develop standard operating procedures to reduce exposure to risks, in addition to dead body management serves as the lynch-pin for this thesis. It anchors case study, and through content analysis, document analysis, comparative analysis and interview methods, key elements that can be leveraged on to help develop a risk profile and determine measures that can help reduce risks faced by first responders are determined and analysed. The main idea is to see whether DVI can be taken beyond the mortuary, to saving lives. Malaysia’s position and existing measures for DRR are examined, to see where best to mainstream DVI. It is expected that recommendations made will also help Malaysia meet the aspirations, in particular, set in Priority 1 and Priority 2 of the Sendai Framework, i.e. address risks and strengthen DRR governance.,“Certification of Master's/Doctoral Thesis” is not available,Ph.D.
dc.language.isoeng
dc.publisherUKM, Bangi
dc.relationInstitute for Environment and Development / Institut Alam Sekitar dan Pembangunan (LESTARI)
dc.rightsUKM
dc.subjectEmergency management -- Malaysia
dc.subjectRisk management -- Malaysia
dc.subjectDisaster relief -- Malaysia
dc.subjectUniversiti Kebangsaan Malaysia -- Dissertations
dc.subjectDissertations, Academic -- Malaysia
dc.titleMainstreaming disaster victim identification into disaster risk reduction in Malaysia
dc.typeTheses
dc.format.pages388
dc.identifier.callnoHV551.2.K494 2019 tesis
Appears in Collections:Institute for Environment and Development / Institut Alam Sekitar dan Pembangunan (LESTARI)

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