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  1. Yew Y, Arcos González P, Castro Delgado R
    Prehosp Disaster Med, 2020 Feb;35(1):76-82.
    PMID: 31928556 DOI: 10.1017/S1049023X19005247
    INTRODUCTION: The Richter Scale measures the magnitude of the seismic activity for an earthquake; however, it does not quantify the humanitarian need at the point of impact. This poses a challenge for humanitarian stakeholders in decision and policy making, especially in risk reduction, response, recovery, and reconstruction. The new disaster metrics tool titled "The YEW Disaster Severity Index" (DSI) was developed and presented at the 2017 World Congress of Disaster and Emergency Medicine, May 2017, Toronto, Canada. It uses a median score of three for vulnerability and exposure indicators, a median score percentage of 100%, and medium YEW DSI scoring of four to five as baseline, indicating the ability to cope within local capacity. Therefore, scoring more than baseline coping capacity indicates that external assistance is needed. This special real-time report was presented at the 2nd National Pre-Hospital Care Conference and Championship, October 2018, Malaysia.

    REPORT: The aim of this analysis is to present the real-time humanitarian impact and response to the 2018 earthquake and tsunami at Donggala and Palu, Sulawesi in Indonesia using the new disaster metrics YEW DSI. Based on the earthquake (measuring 7.7 on the Richter Scale) and tsunami at Donggala, the humanitarian impact calculated on September 29, 2018 scored 7.4 High in the YEW DSI with 11 of the total 17 indicators scoring more than the baseline coping capacity. The same YEW DSI score of 7.4 was scored on the earthquake and tsunami at Palu, with 13 of the total 17 indicators scoring more than baseline ability to cope within local capacity. Impact analysis reports were sent to relevant authorities on September 30, 2018.

    DISCUSSION & CONCLUSION: A State of Emergency was declared for a national response, which indicated an inability to cope within the local capacity, shown by the YEW DSI. The strong correlation between the earthquake magnitude, intensities, and the humanitarian impact at Donggala and Palu reported could be added into the science of knowledge in prehospital care and disaster medicine research and practice. As a conclusion, the real-time disaster response was found to be almost an exact fit with the YEW DSI indicators, demonstrating the inability to cope within the local capacity.

    Matched MeSH terms: Rescue Work*
  2. Centers for Disease Control and Prevention (CDC)
    MMWR Morb Mortal Wkly Rep, 2005 Jan 28;54(3):61-4.
    PMID: 15674183
    On December 26, 2004, an earthquake triggered a devastating tsunami that caused an estimated 225,000 deaths in eight countries (India, Indonesia, Malaysia, Maldives, Seychelles, Somalia, Sri Lanka, and Thailand) on two continents. In Thailand, six provinces (Krabi, Phang-Nga, Phuket, Ranong, Satun, and Trang) were impacted, including prominent international tourist destinations. The Thai Ministry of Public Health (MOPH) responded with rapid mobilization of local and nonlocal clinicians, public health practitioners, and medical supplies; assessment of health-care needs; identification of the dead, injured, and missing; and active surveillance of syndromic illness. The MOPH response was augmented by technical assistance from the Thai MOPH-U.S. CDC Collaboration (TUC) and the Armed Forces Research Institute of Medical Sciences (AFRIMS), with support from the office of the World Health Organization (WHO) representative to Thailand. This report summarizes these activities. The experiences in Thailand underscore the value of written and rehearsed disaster plans, capacity for rapid mobilization, local coordination of relief activities, and active public health surveillance.
    Matched MeSH terms: Rescue Work*
  3. Mohamed MS, Khair MT, How SH, Rajalingam R, Sahhir K, Norazah A, et al.
    Med J Malaysia, 2012 Jun;67(3):293-7.
    PMID: 23082420 MyJurnal
    We analyzed the epidemiological data of all people who were involved in the search and rescue operation in Lubuk Yu, a natural recreational forest with waterfall and stream. The hospital admission records of the cases who fulfilled the case definition and the environmental samples result taken at Lubuk Yu recreational area were studied. 153 people were exposed to this outbreak, 85 (55.5%) were professional rescuers from various government agencies and 68 (44.5%) were villagers. 21 fulfilled the case definition. Ten cases were confirmed melioidosis, six melioidosis alone and four coinfected with leptospirosis. There were eight deaths in this outbreak, seven were villagers and one professional rescuer. Overall case fatality was 70%. All confirmed melioidosis cases and seven who died had diabetes mellitus. The morbidity rate were higher among the villagers, 23.5% compared to professional rescuers, 5.9%. The case fatality rate were also higher in this group which was 100% compared to 33.3% in professional rescuers. The soil and water samples in Lubuk Yu recreational area were positive for leptospira and Burkholderia pseudomallei. The presence of co-infection and co-morbidities especially diabetes mellitus among the exposed led to the high mortality in this outbreak hence a high index of suspicion is important among the healthcare professionals in the management of melioidosis cases. To avoid similar incident in future, search and rescue operation should be only conducted by professional rescuers with appropriate personal protective equipment. A register of rescuers should be maintained for surveillance and follow up if necessary.
    Matched MeSH terms: Rescue Work
  4. Idrose AM, Adnan WA, Villa GF, Abdullah AH
    Emerg Med J, 2007 Jan;24(1):7-11.
    PMID: 17183034
    There is a dire need to have complementary form of disaster training which is cost effective, relatively easy to conduct, comprehensive, effective and acceptable. This will complement field drills training. A classroom-based training and simulation module was built by combining multiple tools: Powerpoint lectures, simulations utilising the Kuala Lumpur International Airport (KLIA) schematic module into 'floortop' model and video show of previous disaster drill. 76 participants made up of medical responders, categorised as Level 1 (specialists and doctors), Level 2 (paramedics), Level 3 (assistant paramedics) and Level 4 (health attendants and drivers) were trained using this module. A pre-test with validated questions on current airport disaster plans was carried out before the training. At the end of training, participants answered similar questions as post-test. Participants also answered questionnaire for assessment of training's acceptance. There was a mean rise from 47.3 (18.8%) to 84.0 (18.7%) in post-test (p<0.05). For Levels 1, 2, 3 and 4 the scores were 94.8 (6.3)%, 90.1 (11)%, 80.3 (20.1)% and 65 (23.4)% respectively. Nevertheless Level 4 group gained most increase in knowledge rise from baseline pre-test score (51.4%). Feedback from the questionnaire showed that the training module was highly acceptable. A classroom-based training can be enhanced with favourable results. The use of classroom training and simulation effectively improves the knowledge of disaster plan significantly on the back of its low cost, relatively-easy to conduct, fun and holistic nature. All Levels of participants (from specialists to drivers) can be grouped together for training. Classroom training and simulation can overcome the problem of "dead-document" phenomenon or "paper-plan syndrome".
    Matched MeSH terms: Rescue Work
  5. Khalid HM, Helander MG, Hood NA
    Appl Ergon, 2013 Sep;44(5):671-9.
    PMID: 22944486 DOI: 10.1016/j.apergo.2012.06.005
    The purpose of this study was to analyze people's attitudes to disasters by investigating how people feel, behave and think during disasters. We focused on disasters induced by humans, such as terrorist attacks. Two types of textual information were collected - from Internet blogs and from research papers. The analysis enabled forecasting of attitudes for the design of proactive disaster advisory scheme. Text was analyzed using a text mining tool, Leximancer. The outcome of this analysis revealed core themes and concepts in the text concerning people's attitudes. The themes and concepts were sorted into three broad categories: Affect, Behaviour, and Cognition (ABC), and the data was visualized in semantic maps. The maps reveal several knowledge pathways of ABC for developing attitudinal ontologies, which describe the relations between affect, behaviour and cognition, and the sequence in which they develop. Clearly, terrorist attacks induced trauma and people became highly vulnerable.
    Matched MeSH terms: Rescue Work
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