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.

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 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.

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)

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 Association Between Federal Value-Based Incentive Program Implementation and Hospital-Onset C. difficile Infection Rates

2020 ◽  
Vol 41 (S1) ◽  
pp. s133-s133
Author(s):  
Mohammad Alrawashdeh ◽  
Chanu Rhee ◽  
Heather Hsu ◽  
Grace Lee
Keyword(s):  
Program Implementation ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Neutralization Assay ◽  
Nucleic Acid Amplification ◽  
Teaching Hospitals ◽  
Future Research ◽  
Testing Methods ◽  
Toxigenic Culture ◽  
The Impact

Background: The Hospital-Acquired Conditions Reduction Program (HACRP) and Hospital Value-Based Purchasing (HVBP) are federal value-based incentive programs that financially reward or penalize hospitals based on quality metrics. Hospital-onset C. difficile infection (HO-CDI) rates reported to the CDC NHSN became a target quality metric for both HACRP and HVBP in October 2016, but the impact of these programs on HO-CDI rates is unknown. Methods: We used an interrupted time-series design to examine the association between HACRP/HVBP implementation in October 2016 and quarterly rates of HO-CDI per 10,000 patient days among incentive-eligible acute-care hospitals conducting facility-wide HO-CDI NHSN surveillance between January 2013 and March 2019. Generalized estimating equations were used to fit negative binomial regression models to assess for immediate program impact (ie, level change) and changes in the slope of HO-CDI rates, controlling for each hospital’s predominant method for CDI testing (nucleic acid amplification including PCR (NAAT), enzyme immunoassay for toxin (EIA), or other testing method including cell cytotoxicity neutralization assay and toxigenic culture). Results: Of the 265 study hospitals studied, most were medium-sized (100–399 beds, 55%), not-for-profit (77%), teaching hospitals (70%), and were located in a metropolitan area (87%). Compared to EIA, rates of HO-CDI were higher when detected by NAAT (incidence rate ratio [IRR], 1.55; 95% CI, 1.41–1.70) or other testing methods (IRR, 1.47; 95% CI, 1.26–1.71). Controlling for CDI testing methods, HACRP/HVBP implementation was associated with an immediate 6% decline in HO-CDI rates (IRR, 0.94; 95% CI, 0.89–0.99) and a 4% decline in slope per year-quarter thereafter (IRR, 0.96; 95% CI, 0.95–0.97) (Fig. 1). Conclusions: HACRP/HVBP implementation was associated with both immediate and gradual improvements in HO-CDI rates, independent of CDI testing methods of differing sensitivity. Future research may evaluate the precise mechanisms underlying this improvement and if this impact is sustained in the long term.Funding: NoneDisclosures: None

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 Organizational Trace of an Insurgent Moment

2017 ◽  
Vol 3 ◽  
pp. 237802311770065 ◽  
Author(s):  
Adam D. Reich
Keyword(s):  
New York ◽  
New York City ◽  
Social Movement ◽  
York City ◽  
Social Movement Organizations ◽  
Occupy Wall Street ◽  
Wall Street ◽  
Formal Organizations ◽  
Movement Organizations ◽  
The Relationship

The relationship between social movements and formal organizations has long been a concern to scholars of collective action. Many have argued that social movement organizations (SMOs) provide resources that facilitate movement emergence, while others have highlighted the ways in which SMOs institutionalize or coopt movement goals. Through an examination of the relationship between Occupy Wall Street and the field of SMOs in New York City, this article illustrates a third possibility: that a moment of insurgency becomes a more enduring movement in part through the changes it induces in the relations among the SMOs in its orbit.

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