Survival Interval in Earthquake Entrapments: Research Findings Reinforced During the 2010 Haiti Earthquake Response

Macintyre, Anthony G.; Barbera, Joseph; Petinaux, Bruno

doi:10.1001/dmp.2011.5

Cited by 59 publications

(16 citation statements)

References 24 publications

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“…Few are saved by professional search-and-rescue forces. This has been the case in our experience and it is supported by the literature [15][16][17][18][19].…”

Section: The Earthquake Experiencesupporting

confidence: 90%

The Role of Bystanders in Mass Casualty Events: Lessons from the 2010 Haiti Earthquake

McNulty¹

2012

J Def Stud Resour Manage

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In routine emergencies, official emergency organizations bear the responsibility to manage the event and treat the wounded. The principal role for bystanders is to alert the appropriate emergency organizations. In mass casualty events (MCE), bystanders are the first responders. Research conducted among rescues in the immediate aftermath of the 2010 Haiti earthquake indicates that bystanders can be an effective complement to professional rescue forces and a necessary substitute when professionals lack sufficient surge capacity. Policy makers and planners may be able to save lives and elevate resilience by sharing emergency preparedness responsibility with the general public.

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“…Few are saved by professional search-and-rescue forces. This has been the case in our experience and it is supported by the literature [15][16][17][18][19].…”

Section: The Earthquake Experiencesupporting

confidence: 90%

The Role of Bystanders in Mass Casualty Events: Lessons from the 2010 Haiti Earthquake

McNulty¹

2012

J Def Stud Resour Manage

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“…70 They recorded 15 rescues who survived, one of whom received an amputation. 70 They recorded 15 rescues who survived, one of whom received an amputation.…”

Section: Using Cost Utility Analysis For Health Disaster Responsementioning

confidence: 99%

Cost Utility Analyses in International Disaster Responses—Where Are They?

Zoraster

2012

Prehosp. Disaster med.

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International health care providers have flocked to Haiti and other disaster-affected countries in record numbers. Anecdotal articles often give "body counts" to describe what was accomplished, followed months later by articles suggesting outcomes could have been better. Mention will be made that various interventions were "expensive," or not the best use of limited funds. But there is very little science to post-intervention evaluations, especially with regard to the value for the money spent. This is surprising, because a large body of literature exists with regard to the Cost Utility Analysis (CUA) of health care interventions. Applying reproducible metrics to disaster interventions will help improve performance.This study will: (1) introduce and explain basic CUA; (2) review why the application of CUA is difficult in disaster settings; (3) consider how disasters may be unique with regard to CUA; (4) demonstrate past and theoretical utilization of CUA in disaster settings; and (5) suggest future utilization of CUA by healthcare providers in Disaster Response.

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“…Small falling objects can only injure people, while big falling objects can trap people, even causing death. The key factor that helped the trapped people to survive was whether there was still a survival space (Macintyre et al, 2011) in the damaged building. The death rates of different buildings after collapse are shown in Fig.…”

Section: Relationship Between Casualty and Building Attributesmentioning

confidence: 99%

Application and prospect of a high-resolution remote sensing and geo-information system in estimating earthquake casualties

Feng

Hong

et al. 2014

Nat. Hazards Earth Syst. Sci.

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Abstract. An accurate estimation of a casualty rate is critical in response to earthquake disasters, and could allow an increase in the survival rate. Building damage is considered to be a major cause of earthquake casualties in developing countries. High-resolution satellite imagery (HRSI) can be used to detect the building damage in a period of a short time. This makes it possible to use a model to estimate earthquake casualties immediately after the occurrence of an earthquake. With respect to the capability of HRSI, this study built a new model for estimating the casualty rate in an earthquake disaster based on remote sensing and a geographical information system. Three groups of earthquake data, the 2003 Bam earthquake, the 2008 Wenchuan earthquake, and the 2010 Yushu earthquake, were used to evaluate this model. The results indicated that our new model significantly improved the accuracy in predicting the casualty rate. The parameters used in the model vary between developed and developing countries. This study could provide valuable information for a more efficient rescue operation in response to earthquakes.

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Survival Interval in Earthquake Entrapments: Research Findings Reinforced During the 2010 Haiti Earthquake Response

Cited by 59 publications

References 24 publications

The Role of Bystanders in Mass Casualty Events: Lessons from the 2010 Haiti Earthquake

The Role of Bystanders in Mass Casualty Events: Lessons from the 2010 Haiti Earthquake

Cost Utility Analyses in International Disaster Responses—Where Are They?

Application and prospect of a high-resolution remote sensing and geo-information system in estimating earthquake casualties

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