Projecting Temperature-related Mortality Impacts in New York City Under a Changing Climate

Epidemiology ◽  
2011 ◽  
Vol 22 ◽  
pp. S15 ◽  
Author(s):  
Tiantian Li ◽  
Radley Horton ◽  
Patrick Kinney
2007 ◽  
Vol 97 (11) ◽  
pp. 2028-2034 ◽  
Author(s):  
Kim Knowlton ◽  
Barry Lynn ◽  
Richard A. Goldberg ◽  
Cynthia Rosenzweig ◽  
Christian Hogrefe ◽  
...  

Author(s):  
Kim Knowlton ◽  
Christian Hogrefe ◽  
Barry Lynn ◽  
Cynthia Rosenzweig ◽  
Joyce Rosenthal ◽  
...  

2014 ◽  
Vol 30 ◽  
pp. 45-60 ◽  
Author(s):  
Joyce Klein Rosenthal ◽  
Patrick L. Kinney ◽  
Kristina B. Metzger

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.


Author(s):  
Deborah Wallace ◽  
Sandro Galea ◽  
Jennifer Ahern ◽  
Rodrick Wallace

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Stephen M. Kissler ◽  
Nishant Kishore ◽  
Malavika Prabhu ◽  
Dena Goffman ◽  
Yaakov Beilin ◽  
...  

Abstract SARS-CoV-2-related mortality and hospitalizations differ substantially between New York City neighborhoods. Mitigation efforts require knowing the extent to which these disparities reflect differences in prevalence and understanding the associated drivers. Here, we report the prevalence of SARS-CoV-2 in New York City boroughs inferred using tests administered to 1,746 pregnant women hospitalized for delivery between March 22nd and May 3rd, 2020. We also assess the relationship between prevalence and commuting-style movements into and out of each borough. Prevalence ranged from 11.3% (95% credible interval [8.9%, 13.9%]) in Manhattan to 26.0% (15.3%, 38.9%) in South Queens, with an estimated city-wide prevalence of 15.6% (13.9%, 17.4%). Prevalence was lowest in boroughs with the greatest reductions in morning movements out of and evening movements into the borough (Pearson R = −0.88 [−0.52, −0.99]). Widespread testing is needed to further specify disparities in prevalence and assess the risk of future outbreaks.


2017 ◽  
Vol 125 (1) ◽  
pp. 47-55 ◽  
Author(s):  
Elisaveta P. Petkova ◽  
Jan K. Vink ◽  
Radley M. Horton ◽  
Antonio Gasparrini ◽  
Daniel A. Bader ◽  
...  

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)


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