scholarly journals Evaluating the Use of an Electronic Death Registration System for Mortality Surveillance During and After Hurricane Sandy: New York City, 2012

2015 ◽  
Vol 105 (11) ◽  
pp. e55-e62 ◽  
Author(s):  
Renata E. Howland ◽  
Wenhui Li ◽  
Ann M. Madsen ◽  
Howard Wong ◽  
Tara Das ◽  
...  
2014 ◽  
Vol 8 (6) ◽  
pp. 489-491 ◽  
Author(s):  
Renata E. Howland ◽  
Ann M. Madsen ◽  
Leze Nicaj ◽  
Rebecca S. Noe ◽  
Mary Casey-Lockyer ◽  
...  

AbstractObjectiveWe briefly describe 2 systems that provided disaster-related mortality surveillance during and after Hurricane Sandy in New York City, namely, the New York City Health Department Electronic Death Registration System (EDRS) and the American Red Cross paper-based tracking system.MethodsRed Cross fatality data were linked with New York City EDRS records by using decedent name and date of birth. We analyzed cases identified by both systems for completeness and agreement across selected variables and the time interval between death and reporting in the system.ResultsRed Cross captured 93% (41/44) of all Sandy-related deaths; the completeness and quality varied by item, and timeliness was difficult to determine. The circumstances leading to death captured by Red Cross were particularly useful for identifying reasons individuals stayed in evacuation zones. EDRS variables were nearly 100% complete, and the median interval between date of death and reporting was 6 days (range: 0-43 days).ConclusionsOur findings indicate that a number of steps have the potential to improve disaster-related mortality surveillance, including updating Red Cross surveillance forms and electronic databases to enhance timeliness assessments, greater collaboration across agencies to share and use data for public health preparedness, and continued expansion of electronic death registration systems. (Disaster Med Public Health Preparedness. 2014;8:489-491)


Author(s):  
Barbra Mann Wall ◽  
Victoria LaMaina ◽  
Emma MacAllister

2018 ◽  
Vol 05 (01) ◽  
pp. 1850002 ◽  
Author(s):  
Hildegaard Link ◽  
Chris Barrett

Risk management regimes develop as stakeholders attempt to reduce vulnerability to hazards and limit the damage and disruption from disasters. Urban coastal regions are often hotspots of climate change-related risks. Analysis of different characteristics of vulnerability, resilience, and transformation is an important precursor to planning and decision making. While these concepts are not new, in many areas they remain very abstract. This paper offers a method to assess vulnerability at the individual household scale in different New York City water front neighborhoods that were extensively damaged during hurricane Sandy in 2012. Household Surveys were conducted in Red Hook, Brooklyn and Edgemere/Arverne, Queens in early 2016. Survey results suggest that at the household level, feelings of preparedness and trust in local government’s ability to effectively manage and respond to extreme weather differ with the varying political/economic climates of each neighborhood. Our survey results also indicate that residents are changing their emergency planning behavior, regardless of politics or economics. Responses show residents adapting their thinking to acknowledge the potential for increasing risk from extreme weather events in both locations studied.


2013 ◽  
Vol 103 (S2) ◽  
pp. S193-S198 ◽  
Author(s):  
Melissa Gambatese ◽  
Dova Marder ◽  
Elizabeth Begier ◽  
Alexander Gutkovich ◽  
Robert Mos ◽  
...  

2015 ◽  
Vol 146 ◽  
pp. e72-e73
Author(s):  
Enrique R. Pouget ◽  
Milagros Sandoval ◽  
Georgios K. Nikolopoulos ◽  
Samuel R. Friedman

2014 ◽  
Vol 2 (1) ◽  
pp. 226-246 ◽  
Author(s):  
Harry Wang ◽  
Jon Loftis ◽  
Zhuo Liu ◽  
David Forrest ◽  
Joseph Zhang

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248503
Author(s):  
Yue He ◽  
Boqun Wu ◽  
Pan He ◽  
Weiyi Gu ◽  
Beibei Liu

Wind-related disasters will bring more devastating consequences to cities in the future with a changing climate, but relevant studies have so far provided insufficient information to guide adaptation actions. This study aims to provide an in-depth elaboration of the contents discussed in open access literature regarding wind disaster adaptation in cities. We used the Latent Dirichlet Allocation (LDA) to refine topics and main contents based on 232 publications (1900 to 2019) extracted from Web of Science and Scopus. We conducted a full-text analysis to filter out focal cities along with their adaptation measures. The results show that wind disaster adaptation research in cities has formed a systematic framework in four aspects: 1) vulnerability and resilience of cities, 2) damage evaluation, 3) response and recovery, and 4) health impacts of wind disaster. Climate change is the background for many articles discussing vulnerability and adaptation in coastal areas. It is also embedded in damage evaluation since it has the potential to exacerbate disaster consequences. The literature is strongly inclined towards more developed cities such as New York City and New Orleans, among which New York City associated with Hurricane Sandy ranks first (38/232). Studies on New York City cover all the aspects, including the health impacts of wind disasters which are significantly less studied now. Distinct differences do exist in the number of measures regarding the adaptation categories and their subcategories. We also find that hard adaptation measures (i.e., structural and physical measures) are far more popular than soft adaptation measures (i.e., social and institutional measures). Our findings suggest that policymakers should pay more attention to cities that have experienced major wind disasters other than New York. They should embrace the up-to-date climate change study to defend short-term disasters and take precautions against long-term changes. They should also develop hard-soft hybrid adaptation measures, with special attention on the soft side, and enhance the health impact study of wind-related disasters.


2013 ◽  
Vol 1 (4) ◽  
pp. 4155-4179 ◽  
Author(s):  
E. Schnebele ◽  
G. Cervone ◽  
N. Waters

Abstract. This research proposes a methodology that leverages non-authoritative data to augment flood extent mapping and the evaluation of transportation infrastructure. The novelty of this approach is the application of freely available, non-authoritative data and its integration with established data and methods. Crowdsourced photos and volunteered geographic data are fused together using a geostatistical interpolation to create an estimation of flood damage in New York City following Hurricane Sandy. This damage assessment is utilized to augment an authoritative storm surge map as well as to create a road damage map for the affected region.


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