EAARL-B coastal topography: eastern New Jersey, Hurricane Sandy, 2012: first surface

Data Series ◽  
10.3133/ds767 ◽  
2014 ◽  
Author(s):  
C. Wayne Wright ◽  
Xan Fredericks ◽  
Rodolfo J. Troche ◽  
Emily S. Klipp ◽  
Christine J. Kranenburg ◽  
...  
Data Series ◽  
10.3133/ds888 ◽  
2014 ◽  
Author(s):  
C. Wayne Wright ◽  
Christine J. Kranenburg ◽  
Emily S. Klipp ◽  
Rodolfo J. Troche ◽  
Xan Fredericks ◽  
...  

Data Series ◽  
10.3133/ds887 ◽  
2014 ◽  
Author(s):  
C. Wayne Wright ◽  
Rodolfo J. Troche ◽  
Christine J. Kranenburg ◽  
Emily S. Klipp ◽  
Xan Fredericks ◽  
...  

Data Series ◽  
10.3133/ds905 ◽  
2015 ◽  
Author(s):  
Jeffrey M. Fischer ◽  
Patrick J. Phillips ◽  
Timothy J. Reilly ◽  
Michael J. Focazio ◽  
Keith A. Loftin ◽  
...  

Disasters ◽  
2019 ◽  
Vol 43 (3) ◽  
pp. 658-685 ◽  
Author(s):  
Joanna Burger ◽  
Michael Gochfeld ◽  
Clifton Lacy

2016 ◽  
Vol 14 (1) ◽  
pp. 7 ◽  
Author(s):  
Marc R. Settembrino, PhD

Presently, there is little research on how people experiencing homelessness prepare for, respond to, and recover from disasters. Existing emergency management literature does not provide an understanding of how disasters affect homeless shelter services. The present study seeks to fill these gaps by examining how Hurricane Sandy impacted homeless shelters and their guests in New Jersey. Presenting findings from ethnographic research in Atlantic City and Hoboken, this study identifies several areas in which homeless shelters and their guests may be able to assist in emergency response and disaster recovery such as preparing meals for victims, sorting and processing donated items, and assisting victims in filing for emergency assistance.


2015 ◽  
Vol 10 (2) ◽  
pp. 188-192 ◽  
Author(s):  
Joel N. Swerdel ◽  
George G. Rhoads ◽  
Nora M. Cosgrove ◽  
John B. Kostis ◽  

AbstractObjectiveHurricane Sandy, one of the most destructive natural disasters in New Jersey history, made landfall on October 29, 2012. Prolonged loss of electrical power and extensive infrastructure damage restricted access for many to food and water. We examined the rate of dehydration in New Jersey residents after Hurricane Sandy.MethodsWe obtained data from 2008 to 2012 from the Myocardial Infarction Data Acquisition System (MIDAS), a repository of in-patient records from nonfederal New Jersey hospitals (N=517,355). Patients with dehydration had ICD-9-CM discharge diagnosis codes for dehydration, volume depletion, and/or hypovolemia. We used log-linear modeling to estimate the change in in-patient hospitalizations for dehydration comparing 2 weeks after Sandy with the same period in the previous 4 years (2008–2011).ResultsIn-patient hospitalizations for dehydration were 66% higher after Sandy than in 2008–2011 (rate ratio [RR]: 1.66; 95% confidence interval [CI]: 1.50, 1.84). Hospitalizations for dehydration in patients over 65 years of age increased by nearly 80% after Sandy compared with 2008–2011 (RR: 1.79; 95% CI: 1.58, 2.02).ConclusionSandy was associated with a marked increase in hospitalizations for dehydration. Reducing the rate of dehydration following extreme weather events is an important public health concern that needs to be addressed, especially in those over 65 years of age. (Disaster Med Public Health Preparedness. 2016;10:188–192)


2017 ◽  
Vol 11 (6) ◽  
pp. 720-728 ◽  
Author(s):  
Prathit A. Kulkarni ◽  
Hui Gu ◽  
Stella Tsai ◽  
Marian Passannante ◽  
Soyeon Kim ◽  
...  

AbstractObjectiveWe characterized evacuations related to Hurricane Sandy, which made landfall in New Jersey on October 29, 2012.MethodsWe analyzed data from the 2014 New Jersey Behavioral Risk Factor Survey. The proportion of respondents reporting evacuation was used to estimate the number of New Jersey adults who evacuated. We determined evacuation rates in heavily impacted and less-impacted municipalities, as well as evacuation rates for municipalities under and not under mandatory evacuation orders. We tested associations between demographic and health factors, such as certain chronic health conditions, and evacuation.ResultsAmong respondents, 12.7% (95% CI: 11.8%-13.6%) reported evacuating, corresponding to approximately 880,000 adults. In heavily impacted municipalities, 17.0% (95% CI: 15.2%-18.7%) evacuated, compared with 10.1% (95% CI: 9.0%-11.2%) in less-impacted municipalities. In municipalities under mandatory evacuation orders, 42.5% (95% CI: 35.1%-49.8%) evacuated, compared with 11.8% (95% CI: 10.9%-12.9%) in municipalities not under mandatory orders. Female gender (odds ratio [OR]: 1.36; 95% CI: 1.14-1.64), unmarried status (OR: 1.22; 95% CI: 1.02-1.46), shorter length of residence (OR: 1.28; 95% CI: 1.03-1.60), and living in a heavily impacted municipality (OR: 1.84; 95% CI: 1.54-2.20) were significantly associated with evacuation. History of stroke (OR: 1.61; 95% CI: 1.02-2.53) was the only chronic condition associated with evacuation.ConclusionsApproximately 880,000 New Jersey adults evacuated because of Hurricane Sandy. Those in heavily impacted municipalities and municipalities under mandatory evacuation orders had higher evacuation rates; however, still fewer than half evacuated. These findings can be used for future disaster planning. (Disaster Med Public Health Preparedness. 2017;11:720–728).


2016 ◽  
Vol 107 (2) ◽  
pp. 432-441 ◽  
Author(s):  
Kelly L. Smalling ◽  
Ashok D. Deshpande ◽  
Heather S. Galbraith ◽  
Beth L. Sharack ◽  
DeMond Timmons ◽  
...  

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