A Common Target: Anti-Jewish Hate Crime in New York City Communities, 1995-2010

2020 ◽  
Vol 57 (6) ◽  
pp. 643-692
Author(s):  
Colleen E. Mills
Keyword(s):  
New York ◽  
New York City ◽  
Social Disorganization ◽  
York City ◽  
Hate Crime ◽  
Negative Binomial ◽  
Minority Group ◽  
Anti Jewish ◽  
Defended Neighborhoods ◽  
The Impact

Objectives: There is a growing body of macro-level studies examining hate crime. These studies however largely focus on ethnoracial hate crime, leading to a relative dearth of research investigating the etiology of anti-Jewish hate crime. The current study seeks to fill this gap by conducting a community-level analysis of anti-Jewish hate crime in New York City. Methods: Using data from the New York Police Department’s Hate Crimes Task Force, the current study employs a series of negative binomial regressions to investigate the impact of defended neighborhoods, social disorganization, and strain variables on anti-Jewish hate crime. Results: The results show that defended neighborhoods consistently predict higher levels of anti-Jewish hate crime in White, Black, and non-White neighborhoods even when accounting for social disorganization and strain variables. Results also demonstrate that anti-Jewish crime occurs in communities that are more socially organized and with better economic conditions. Conclusions: This study’s findings reveal Jewish victims to be a catchall target when a minority group increasingly moves into a majority area. These defended neighborhoods, and other findings have intriguing implications for both criminology’s social disorganization theory and the police and others charged with combatting bias crimes.

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.

scholarly journals The effect of human mobility and control measures on traffic safety during COVID-19 pandemic

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0243263
Author(s):  
Jie Zhang ◽  
Baoheng Feng ◽  
Yina Wu ◽  
Pengpeng Xu ◽  
Ruimin Ke ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Traffic Safety ◽  
York City ◽  
Travel Behavior ◽  
Negative Binomial ◽  
Negative Relationship ◽  
Control Measures ◽  
Control Policies ◽  
The Impact

As mobile device location data become increasingly available, new analyses are revealing the significant changes of mobility pattern when an unplanned event happened. With different control policies from local and state government, the COVID-19 outbreak has dramatically changed mobility behavior in affected cities. This study has been investigating the impact of COVID-19 on the number of people involved in crashes accounting for the intensity of different control measures using Negative Binomial (NB) method. Based on a comprehensive dataset of people involved in crashes aggregated in New York City during January 1, 2020 to May 24, 2020, people involved in crashes with respect to travel behavior, traffic characteristics and socio-demographic characteristics are found. The results show that the average person miles traveled on the main traffic mode per person per day, percentage of work trip have positive effect on person involved in crashes. On the contrary, unemployment rate and inflation rate have negative effects on person involved in crashes. Interestingly, different level of control policies during COVID-19 outbreak are closely associated with safety awareness, driving and travel behavior, and thus has an indirect influence on the frequency of crashes. Comparing to other three control policies including emergence declare, limits on mass gatherings, and ban on all nonessential gathering, the negative relationship between stay-at-home policy implemented in New York City from March 20, 2020 and the number of people involved crashes is found in our study.

The Impact of Customer Loyalty and Restaurant Sanitation Grades on Revisit Intention and the Importance of Narrative Information: The Case of New York Restaurant Sanitation Grading System

2017 ◽  
Vol 59 (3) ◽  
pp. 275-284 ◽  
Author(s):  
Min Gyung Kim ◽  
Hyunjoo Yang ◽  
Anna S. Mattila
Keyword(s):  
New York ◽  
New York City ◽  
Customer Loyalty ◽  
York City ◽  
Letter Grades ◽  
The Difference ◽  
Revisit Intentions ◽  
Using Data ◽  
The Impact ◽  
Loyal Customers

New York City launched a restaurant sanitation letter grade system in 2010. We evaluate the impact of customer loyalty on restaurant revisit intentions after exposure to a sanitation grade alone, and after exposure to a sanitation grade plus narrative information about sanitation violations (e.g., presence of rats). We use a 2 (loyalty: high or low) × 4 (sanitation grade: A, B, C, or pending) between-subjects full factorial design to test the hypotheses using data from 547 participants recruited from Amazon MTurk who reside in the New York City area. Our study yields three findings. First, loyal customers exhibit higher intentions to revisit restaurants than non-loyal customers, regardless of sanitation letter grades. Second, the difference in revisit intentions between loyal and non-loyal customers is higher when sanitation grades are poorer. Finally, loyal customers are less sensitive to narrative information about sanitation violations.

scholarly journals The Impact of Covid‐19 on Certified Nursing Assistants in New York City: A Cross‐Sectional Study

2021 ◽  
Vol 56 (S2) ◽  
pp. 41-42
Author(s):  
Sanjay Pinto ◽  
Madeline Sterling ◽  
Faith Wiggins ◽  
Rebecca Hall ◽  
Chenjuan Ma
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Cross Sectional Study ◽  
Nursing Assistants ◽  
Certified Nursing Assistants ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Impact

Abstract 718: The Impact of COVID-19 on breast oncology care practices during the pandemic in New York City: A single center retrospective study

2021 ◽  
Author(s):  
Danielle Seidman ◽  
Brittney S. Zimmerman ◽  
Lauren Margetich ◽  
Serena Tharakan ◽  
Natalie Berger ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Retrospective Study ◽  
York City ◽  
Single Center ◽  
Oncology Care ◽  
Care Practices ◽  
The Impact

Outcomes for hospitalized cancer patients with COVID-19 during the height of pandemic in New York City.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 10572-10572
Author(s):  
Amelia Sawyers ◽  
Margaret Chou ◽  
Paul Johannet ◽  
Nicholas Gulati ◽  
Yingzhi Qian ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Cancer Patients ◽  
York City ◽  
Measurable Disease ◽  
All Cause Mortality ◽  
History Of ◽  
The Impact ◽  
History Of Cancer ◽  
Active Cancer

10572 Background: Several reports have suggested that cancer patients are at increased risk for contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and suffering worse coronavirus disease 2019 (COVID-19) outcomes. However, little is known about the impact of cancer status on presentation and outcome. Here, we report on the association between cancer status and survival in hospitalized patients who tested positive for SARS-CoV-2 during the height of pandemic in New York City. Methods: Of the 6,724 patients who were hospitalized at NYU Langone Health (3/16/20 - 7/31/20) and tested positive for SARS-CoV-2, 580 had either active cancer (n = 221) or a history of cancer (n = 359). Patients were classified as having active malignancy if they either received treatment within six months of their COVID-19 diagnosis or they had measurable disease documented at the time of their hospitalization. Patients were categorized as having a history of cancer if there was no evidence of measurable disease or there were no treatments administered within six months of their COVID-19 diagnosis. We compared the baseline clinicodemographic characteristics and hospital courses of the two groups, and the relationship between cancer status and the rate of admission to the intensive care unit (ICU), use of invasive mechanical ventilation (IMV), and all-cause mortality. Results: There was no differences between the two groups in their baseline laboratory results associated with COVID-19 infection, incidence of venous thromboembolism, or incidence of severe COVID-19. Active cancer status was not associated with the rate of ICU admission ( P = 0.307) or use of IMV ( P = 0.236), but was significantly associated with worse all-cause mortality in both univariate and multivariate analysis with ORs of 1.48 (95% CI: 1.04-2.09; P = 0.028) and 1.71 (95% CI: 1.12-2.63; P = 0.014), respectively. Conclusions: Active cancer patients had worse survival outcomes compared to patients with a history of cancer despite similar COVID-19 disease characteristics in the two groups. Our data suggest that cancer care should continue with minimal interruptions during the pandemic to bring about response and remission as soon as possible. Additionally, these findings support the growing body of evidence that malignancy portends worse COVID-19 prognosis, and demonstrate that the risk may even apply to those without active disease.

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