scholarly journals Long-term Recovery From Hurricane Sandy: Evidence From a Survey in New York City

2017 ◽  
Vol 12 (2) ◽  
pp. 172-175 ◽  
Author(s):  
Elisaveta P. Petkova ◽  
Jaishree Beedasy ◽  
Eun Jeong Oh ◽  
Jonathan J. Sury ◽  
Erin M. Sehnert ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Low Income ◽  
York City ◽  
Household Income ◽  
Hurricane Sandy ◽  
Middle Income ◽  
Assistance Programs ◽  
Federal Assistance

AbstractObjectivesThis study aimed to examine a range of factors influencing the long-term recovery of New York City residents affected by Hurricane Sandy.MethodsIn a series of logistic regressions, we analyzed data from a survey of New York City residents to assess self-reported recovery status from Hurricane Sandy.ResultsGeneral health, displacement from home, and household income had substantial influences on recovery. Individuals with excellent or fair health were more likely to have recovered than were individuals with poor health. Those with high and middle income were more likely to have recovered than were those with low income. Also, individuals who had not experienced a decrease in household income following Hurricane Sandy had higher odds of recovery than the odds for those with decreased income. Additionally, displacement from the home decreased the odds of recovery. Individuals who applied for assistance from the Build it Back program and the Federal Emergency Management Agency had lower odds of recovering than did those who did not apply.ConclusionsThe study outlines the critical importance of health and socioeconomic factors in long-term disaster recovery and highlights the need for increased consideration of those factors in post-disaster interventions and recovery monitoring. More research is needed to assess the effectiveness of state and federal assistance programs, particularly among disadvantaged populations. (Disaster Med Public Health Preparedness. 2018;12:172–175)

Reasons for Runaways

1968 ◽  
Vol 14 (1) ◽  
pp. 42-48 ◽  
Author(s):  
James A. Hildebrand
Keyword(s):  
New York ◽  
New York City ◽  
Low Income ◽  
York City ◽  
Delinquent Behavior ◽  
The Other ◽  
School Problems ◽  
Middle Income ◽  
High Crime

Few studies deal with specific types of delinquent behavior. This investigation examines the runaway problem in two New York City precincts, one a low-income and high-crime area, the other a middle-income section. Attitude toward education emer ges as a pivotal factor. Parents in the high-crime area were apathetic toward education; some did not even know the name and location of the school the runaway supposedly attended. School problems also influenced the runaway from the middle- income section.

scholarly journals An ecological study of socioeconomic predictors in detection of COVID-19 cases across neighborhoods in New York City

2020 ◽  
Author(s):  
Richard S. Whittle ◽  
Ana Diaz-Artiles
Keyword(s):  
New York ◽  
New York City ◽  
Low Income ◽  
York City ◽  
Household Income ◽  
Health Management ◽  
Median Household Income ◽  
Female Ratio ◽  
Aging Populations ◽  
The Usa

AbstractBackgroundNew York City was the first major urban center of the COVID-19 pandemic in the USA. Cases are clustered in the city, with certain neighborhoods experiencing more cases than others. We investigate whether potential socioeconomic factors can explain between-neighborhood variation in the number of detected COVID-19 cases.MethodsData were collected from 177 Zip Code Tabulation Areas (ZCTA) in New York City (99.9% of the population). We fit multiple Bayesian Besag-York-Mollié (BYM) mixed models using positive COVID-19 tests as the outcome and a set of 10 representative economic, demographic, and health-care associated ZCTA-level parameters as potential predictors. The BYM model includes both spatial and nonspatial random effects to account for clustering and overdispersion.ResultsMultiple different regression approaches indicated a consistent, statistically significant association between detected COVID-19 cases and dependent (under 18 or 65+ years old) population, male to female ratio, and median household income. In the final model, we found that an increase of only 1% in dependent population is associated with a 2.5% increase in detected COVID-19 cases (95% confidence interval (CI): 1.6% to 3.4%, p < 0.0005). An increase of 1 male per 100 females is associated with a 1.0% (95% CI: 0.6% to 1.5%, p < 0.0005) increases in detected cases. A decrease of $10,000 median household income is associated with a 2.5% (95% CI: 1.0% to 4.1% p = 0.002) increase in detected COVID-19 cases.ConclusionsOur findings indicate associations between neighborhoods with a large dependent population, those with a high proportion of males, and low-income neighborhoods and detected COVID-19 cases. Given the elevated mortality in aging populations, the study highlights the importance of public health management during and after the current COVID-19 pandemic. Further work is warranted to fully understand the mechanisms by which these factors may have affected the number of detected cases, either in terms of the true number of cases or access to testing.

scholarly journals Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City

2016 ◽  
Vol 11 (2) ◽  
Author(s):  
Dustin T. Duncan ◽  
Ryan R. Ruff ◽  
Basile Chaix ◽  
Seann D. Regan ◽  
James H. Williams ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
New York ◽  
New York City ◽  
Low Income ◽  
York City ◽  
Household Income ◽  
Cardiovascular Health ◽  
Global Positioning ◽  
Low Income Housing

Previous research has highlighted the salience of spatial stigma on the lives of low-income residents, but has been theoretical in nature and/or has predominantly utilised qualitative methods with limited generalisability and ability to draw associations between spatial stigma and measured cardiovascular health outcomes. The primary objective of this study was to evaluate relationships between perceived spatial stigma, body mass index (BMI), and blood pressure among a sample of low-income housing residents in New York City (NYC). Data come from the community-based NYC Low-income Housing, Neighborhoods and Health Study. We completed a crosssectional analysis with survey data, which included the four items on spatial stigma, as well objectively measured BMI and blood pressure data (analytic n=116; 96.7% of the total sample). Global positioning systems (GPS) tracking of the sample was conducted for a week. In multivariable models (controlling for individual-level age, gender, race/ethnicity, education level, employment status, total household income, neighborhood percent non-Hispanic Black and neighborhood median household income) we found that participants who reported living in an area with a bad neighborhood reputation had higher BMI (B=4.2, 95%CI: -0.01, 8.3, P=0.051), as well as higher systolic blood pressure (B=13.2, 95%CI: 3.2, 23.1, P=0.01) and diastolic blood pressure (B=8.5, 95%CI: 2.8, 14.3, P=0.004). In addition, participants who reported living in an area with a bad neighborhood reputation had increased risk of obesity/overweight [relative risk (RR)=1.32, 95%CI: 1.1, 1.4, P=0.02) and hypertension/pre-hypertension (RR=1.66, 95%CI: 1.2, 2.4, P=0.007). However, we found no differences in spatial mobility (based GPS data) among participants who reported living in neighborhoods with and without spatial stigma (P&gt;0.05). Further research is needed to investigate how placebased stigma may be associated with impaired cardiovascular health among individuals in stigmatised neighborhoods to inform effective cardiovascular risk reduction interventions.

scholarly journals The Cost-Effectiveness of Bike Share Expansion to Low-Income Communities in New York City

2018 ◽  
Vol 95 (6) ◽  
pp. 888-898 ◽  
Author(s):  
Wenya Yu ◽  
Chen Chen ◽  
Boshen Jiao ◽  
Zafar Zafari ◽  
Peter Muennig
Keyword(s):  
New York ◽  
New York City ◽  
Cost Effectiveness ◽  
Low Income ◽  
York City ◽  
The Cost ◽  
Bike Share

Long-Term Outcomes of an Abstinence-Based, Small-Group Pregnancy Prevention Program in New York City Schools

2000 ◽  
Vol 32 (5) ◽  
pp. 237 ◽  
Author(s):  
Lisa D. Lieberman ◽  
Heather Gray ◽  
Megan Wier ◽  
Renee Fiorentino ◽  
Patricia Maloney
Keyword(s):  
New York ◽  
New York City ◽  
Small Group ◽  
York City ◽  
Prevention Program ◽  
Pregnancy Prevention ◽  
Long Term Outcomes ◽  
Pregnancy Prevention Program ◽  
City Schools

Building-level analyses to prospectively detect influenza outbreaks in long-term care facilities: New York City, 2013-2014

2015 ◽  
Vol 43 (8) ◽  
pp. 839-843 ◽  
Author(s):  
Alison Levin-Rector ◽  
Beth Nivin ◽  
Alice Yeung ◽  
Annie D. Fine ◽  
Sharon K. Greene
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Long Term Care ◽  
Term Care ◽  
Care Facilities ◽  
Influenza Outbreaks ◽  
Building Level
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