scholarly journals Food and Waterborne Disease in the Greater New York City Area Following Hurricane Sandy in 2012

2016 ◽  
Vol 10 (3) ◽  
pp. 503-511 ◽  
Author(s):  
Michael S. Bloom ◽  
Jillian Palumbo ◽  
Nazia Saiyed ◽  
Ursula Lauper ◽  
Shao Lin
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Hurricane Sandy ◽  
Protective Effects ◽  
Waterborne Disease ◽  
Adjusted Risk ◽  
City Area

AbstractObjectiveWe aimed to evaluate residence in evacuation areas (storm areas) as a risk factor for food and waterborne disease (FWBD) associated with Hurricane Sandy flooding.MethodsWe captured 9601 incident outpatient and inpatient FWBD hospital discharge diagnoses for residents of the greater New York City area. We used Poisson or negative binomial regression models to compare the covariate-adjusted risk for a FWBD diagnosis, pre-Sandy (10/28-11/09, 2001-2011) vs. post-Sandy (10/28-11/09, 2012), for residents of “storm” and “non-storm” areas.ResultsOutpatient FWBD risk was lower for storm area residents after Hurricane Sandy (risk ratio [RR]=0.58, 95% confidence interval [CI]: 0.46-0.74), and varied by age, sex, and county. However, storm area residents 65 years of age or older experienced higher risk after Hurricane Sandy (RR=2.16, 95% CI: 1.11-4.19), albeit based on few cases. Inpatient FWBD risk was lower for non-storm area residents after Hurricane Sandy (RR=0.79, 95% CI: 0.66-0.95), and varied by age, race, and county, although there was no significant change for storm area residents (RR=0.86, 95% CI: 0.69-1.08). Those ≥65 years of age were also at lower risk for inpatient FWBD diagnosis, yet the effect was weaker for storm area (RR=0.89, 95% CI: 0.67-1.18) than for non-storm area residents (RR=0.68, 95% CI: 0.52-0.89).ConclusionsHurricane preparation, mitigation, and response activities in the greater New York City area may have led to “protective” effects for FWBD. (Disaster Med Public Health Preparedness. 2016;10:503–511)

Chemical contamination of soils in the New York City area following Hurricane Sandy

2015 ◽  
Vol 38 (5) ◽  
pp. 1115-1124 ◽  
Author(s):  
Amy C. Mandigo ◽  
Dana J. DiScenza ◽  
Alison R. Keimowitz ◽  
Neil Fitzgerald
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Hurricane Sandy ◽  
Chemical Contamination ◽  
City Area ◽  
Contamination Of Soils

scholarly journals Weather Effects on Social Movements: Evidence from Washington, D.C., and New York City, 1960–95

2016 ◽  
Vol 8 (3) ◽  
pp. 299-311 ◽  
Author(s):  
Tony Huiquan Zhang
Keyword(s):  
New York ◽  
New York City ◽  
Social Movements ◽  
Social Movement ◽  
York City ◽  
Regression Models ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Future Research ◽  
The Impact

Abstract Scholars have been taking the impact of weather on social movements for granted for some time, despite a lack of supporting empirical evidence. This paper takes the topic more seriously, analyzing more than 7000 social movement events and 36 years of weather records in Washington, D.C., and New York City (1960–95). Here, “good weather” is defined as midrange temperature and little to no precipitation. This paper uses negative binomial regression models to predict the number of social movements per day and finds social movements are more likely to happen on good days than bad, with seasonal patterns controlled for. Results from logistic regression models indicate violence occurs more frequently at social movement events when it is warmer. Most interestingly, the effect of weather is more salient when there are more political opportunities and resources available. This paper discusses the implications and suggests future research on weather and social movement studies.

COVID-19 and health inequality: the nexus of race, income and mortality in New York City

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Farzaneh Khayat ◽  
Lemir Teron ◽  
Farzin Rasoulyan
Keyword(s):  
New York ◽  
New York City ◽  
Health Inequality ◽  
York City ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Mortality Rates ◽  
Census Bureau ◽  
Content Type ◽  
Marginalized Communities

Purpose The purpose of this paper is to evaluate socioeconomic factors related to COVID-19 mortality rates in New York City (NYC) to understand the connections between socioeconomic variables, including race and income and the disease. Design/methodology/approach Using multivariable negative binomial regression, the association between health and mortality disparities related to COVID-19 and socioeconomic conditions is evaluated. The authors obtained ZIP code-level data from the NYC Department of Health and Mental Hygiene and the US Census Bureau. Findings This study concludes that the mortality rate rises in areas with a higher proportion of Hispanic and Black residents, whereas areas with higher income rates had lower mortality associated with COVID-19, among over 18,000 confirmed deaths in NYC. Originality/value The paper highlights the impacts of social, racial and wealth disparities in mortality rates. It brings to focus the importance of targeted policies regarding these disparities to alleviate health inequality among marginalized communities and to reduce disease mortality.

scholarly journals Assessment of Reportable Disease Incidence After Hurricane Sandy, New York City, 2012

2013 ◽  
Vol 7 (5) ◽  
pp. 513-521 ◽  
Author(s):  
Sharon K. Greene ◽  
Elisha L. Wilson ◽  
Kevin J. Konty ◽  
Annie D. Fine
Keyword(s):  
New York ◽  
New York City ◽  
Census Tract ◽  
York City ◽  
Negative Binomial ◽  
Disease Modeling ◽  
Disease Incidence ◽  
Hurricane Sandy ◽  
Sensitivity Analyses ◽  
Preparedness Planning

AbstractObjectiveHurricane Sandy's October 29, 2012 arrival in New York City caused flooding, power disruption, and population displacement. Infectious disease risk may have been affected by floodwater exposure, residence in emergency shelters, overcrowding, and lack of refrigeration or heating. For 42 reportable diseases that could have been affected by hurricane-related exposures, we developed methods to assess whether hurricane-affected areas had higher disease incidence than other areas of NYC.MethodsWe identified post-hurricane cases as confirmed, probable, or suspected cases with onset or diagnosis between October 30 and November 26 that were reported via routine passive surveillance. Pre-hurricane cases for the same 4-week period were identified in 5 prior years, 2007–2011. Cases were geocoded to the census tract of residence. Using data compiled by the NYC Office of Emergency Management, we determined (1) the proportion of the population in each census tract living in a flooded block and (2) the subset of flooded tracts severely “impacted”, e.g., by prolonged service outages or physical damage. A separate multivariable regression model was constructed for each disease, modeling the outcome of case counts using a negative binomial distribution. Independent variables were: neighborhood poverty; whether cases were pre- or post-hurricane (time); the proportion of the population flooded in impacted and not impacted tracts; and interaction terms between the flood/impact variables and time. Models used repeated measures to adjust for correlated observations from the same tract and an offset term of the log of the population size. Sensitivity analyses assessed the effects of case count fluctuations and accounted for variations in reporting volume by using an offset term of the log of total cases.ResultsOnly legionellosis was statistically significantly associated with increased occurrence in flooded/impacted areas post-hurricane, adjusting for baseline differences (P = .04). However, there was only 1 legionellosis case post-hurricane in a flooded/impacted area.ConclusionsHurricane Sandy did not appear to elevate reportable disease incidence in NYC. Defining and acquiring reliable data and meta-data regarding hurricane-affected areas was a challenge in the weeks post-storm. Relevant metrics could be developed during disaster preparedness planning. These methods to detect excess disease can be adapted for future emergencies. (Disaster Med Public Health Preparedness. 2013;7:513-521)

2010 Meltdown – Airport Closure Risk Communications in London and NYC

2011 ◽  
Vol 2 (1) ◽  
pp. 108-110
Author(s):  
Sweta Chakraborty ◽  
Naomi Creutzfeldt-Banda
Keyword(s):  
Decision Making ◽  
New York ◽  
New York City ◽  
York City ◽  
Risk Perceptions ◽  
Decision Making Process ◽  
City Area ◽  
Risk Communications ◽  
The City ◽  
Economic And Social Impacts

Saturday, 18 December 2010 was the first of a two day complete closure of all London area airports due to freezing temperatures and approximately five inches of snow. A week later on December 26th, New York City area airports closed in a similar manner from the sixth largest snowstorm in NYC history, blanketing the city approximately twenty inches of snow. Both storms grounded flights for days, and resulted in severe delays long after the snow stopped falling. Both London and NYC area airports produced risk communications to explain the necessity for the closures and delays. This short flash news report examines, in turn, the risk communications presented during the airport closures. A background is provided to understand how the risk perceptions differ between London and NYC publics. Finally, it compares and contrasts the perceptions of the decision making process and outcomes of the closures, which continue to accumulate economic and social impacts.

Urban Ornithology

2018 ◽  
Author(s):  
P. A. Buckley ◽  
Walter Sedwitz ◽  
William J. Norse ◽  
John Kieran
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Historical Analysis ◽  
Recent Book ◽  
City Area ◽  
Analogous Data ◽  
Species Lists ◽  
Park Area ◽  
Gains And Losses

This book offers the first quantitative long-term historical analysis of the migratory, winter, and breeding avifaunas of any New York City natural area—Van Cortlandt Park and the adjacent Northwest Bronx—and spans the century and a half from 1872 to 2016. Only Manhattan’s Central and Brooklyn’s Prospect Parks have published even lightly annotated cumulative species lists, last updated in 1967, and the most recent book addressing the birdlife of the New York City area was published more than 50 years ago. Addressed are the 301 Bronx, New York City and New York City area species known to have occurred within the study area, plus another 70 potential additions. These are contrasted with their status in adjacent Riverdale, the entire Bronx, Central and Prospect Parks, New York City, plus Long Island, Westchester, and Rockland Cos. The history of the 123 known study area breeding species are tracked from 1872—only 20 years after Audubon’s death in Manhattan—complemented by unique quantitative breeding data from Van Cortlandt Park censuses from 1937 to 2015. Gains and losses of breeding species are tracked and discussed as an expanding New York City inexorably extinguished unique habitat, offset only slightly by addition of two large reservoirs. Comparisons are provided with analogous data from heavily monitored Central and Prospect Parks. The tradeoffs in attempting to managing an urban park area for mass recreation at the same time as conserving its natural resources are highlighted.

Hurricane Sandy, October 2012, New York City (USA)

2015 ◽  
Author(s):  
Barbra Mann Wall ◽  
Victoria LaMaina ◽  
Emma MacAllister
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Hurricane Sandy

scholarly journals Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area

JAMA ◽  
2020 ◽  
Vol 323 (20) ◽  
pp. 2052 ◽  
Author(s):  
Safiya Richardson ◽  
Jamie S. Hirsch ◽  
Mangala Narasimhan ◽  
James M. Crawford ◽  
Thomas McGinn ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
City Area
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