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Articles 1 - 6 of 6
Full-Text Articles in Medicine and Health
Examining Spatial Inequality In Covid-19 Positivity Rates Across New York City Zip Codes, Tse-Chuan Yang, Seulki Kim, Yunhan Zhao, Seung-Won Emily Choi
Examining Spatial Inequality In Covid-19 Positivity Rates Across New York City Zip Codes, Tse-Chuan Yang, Seulki Kim, Yunhan Zhao, Seung-Won Emily Choi
Department of Sociology: Faculty Publications
We aim to understand the spatial inequality in Coronavirus disease 2019 (COVID-19) positivity rates across New York City (NYC) ZIP codes. Applying Bayesian spatial negative binomial models to a ZIP-code level dataset (N = 177) as of May 31st, 2020, we find that (1) the racial/ethnic minority groups are associated with COVID-19 positivity rates; (2) the percentages of remote workers are negatively associated with positivity rates, whereas older population and household size show a positive association; and (3) while ZIP codes in the Bronx and Queens have higher COVID-19 positivity rates, the strongest spatial effects are clustered in Brooklyn and …
Attitudes About Paid Parental Leave: Cross-National Comparisons And The Significance Of Gendered Expectations, Family Strains, And Extant Leave Offerings, Chris Knoester, Qi Li, Richard J. Petts
Attitudes About Paid Parental Leave: Cross-National Comparisons And The Significance Of Gendered Expectations, Family Strains, And Extant Leave Offerings, Chris Knoester, Qi Li, Richard J. Petts
Department of Sociology: Faculty Publications
Using data on paid parental leave preferences from 35,488 adults situated within 26 different OECD countries, and multilevel modeling, this study examines public opinions about the provision of paid parental leave, some government funding of leave offerings, and preferred lengths of leave offerings. We consider how attitudes may be similar or different across social contexts and then focus upon the extent to which gender, gendered parenting role attitudes, family strains, and country-level institutionalized leave offerings are associated with leave preferences. The findings indicate that the vast majority of respondents are in favor of rather widespread and generous paid parental leave …
Rural/Urban Differences In The Predictors Of Opioid Prescribing Rates Among Medicare Part D Beneficiaries 65 Years Of Age And Older, Carla Shoff, Tse-Chuan Yang, Seulki Kim
Rural/Urban Differences In The Predictors Of Opioid Prescribing Rates Among Medicare Part D Beneficiaries 65 Years Of Age And Older, Carla Shoff, Tse-Chuan Yang, Seulki Kim
Department of Sociology: Faculty Publications
Purpose: While research has been done comparing rural/urban differences in opioid prescribing to the disabled Medicare Part D population, research on opioid prescribing among the aged Medicare Part D population is lacking. This study aims to fill this gap by exploring the predictors of opioid prescribing to aged Medicare Part D beneficiaries and investigating whether these predictors vary across rural and urban areas. Methods: This is an analysis of ZIP Codes in the continental United States (18,126 ZIP Codes) utilizing 2017 data from Centers for Medicare & Medicaid Services. The analytic approach includes aspatial descriptive analysis, exploratory spatial analysis with …
Spatial Non‑Stationarity In Opioid Prescribing Rates: Evidence From Older Medicare Part D Beneficiaries, Seulki Kim, Carla Shoff, Tse-Chuan Yang
Spatial Non‑Stationarity In Opioid Prescribing Rates: Evidence From Older Medicare Part D Beneficiaries, Seulki Kim, Carla Shoff, Tse-Chuan Yang
Department of Sociology: Faculty Publications
Previous research that examined spatial patterns of opioid prescribing rates and factors associated with them has mainly relied on a global modeling perspective, overlooking the potential spatial non-stationarity embedded in these associations. In this study, we investigate whether there are spatially non-stationary associations between opioid prescribing rates and key characteristics of older Medicare Part D beneficiaries and their prescribers using several data sources from the Centers for Medicare and Medicaid Services. All measures are aggregated to the ZIP code level, and a total sample size of 18,126 ZIP codes is included in the analyses. Our descriptive results from geographically weighted …
The Ideology Of Baby-Mama Phenomenon: Assessing Knowledge And Perceptions Among Young People From Educational Institutions, Opeyemi S. Adeojo, Daniel Egerson, Gabriel Mewiya, Rowland Edet
The Ideology Of Baby-Mama Phenomenon: Assessing Knowledge And Perceptions Among Young People From Educational Institutions, Opeyemi S. Adeojo, Daniel Egerson, Gabriel Mewiya, Rowland Edet
Department of Sociology: Faculty Publications
This study investigated the knowledge and perception of the ideology of baby-mama concept among the youths. Particularly, this paper assessed the knowledge of the concept of baby mama among youths and also their opinion on the acceptability of this style of family structure. The study employed a qualitative approach through an in-depth interview research method. Forty respondents between the ages of 16 and 40 years were selected across three educational institutions in Oyo state, south-west Nigeria. The participants of the study voluntarily agreed to participate in the research and everything said during the course of the interview was transcribed and …
Face Masking Violations, Policing, And Covid-19 Death Rates: A Spatial Analysis In New York City Zip Codes, Tse-Chuan Yang, Seulki Kim, Stephen A. Matthews
Face Masking Violations, Policing, And Covid-19 Death Rates: A Spatial Analysis In New York City Zip Codes, Tse-Chuan Yang, Seulki Kim, Stephen A. Matthews
Department of Sociology: Faculty Publications
The use of face masks during a pandemic and compliance with state and local mandates has been a divisive issue in the United States. We document variation in face masking violation rates involving police enforcement in New York City and examine the association between police-enforced face masking violations and COVID-19-related death rates. We assemble a Zone Improvement Plan (ZIP) code–level data set from the New York City Open Data, Department of Health, and the American Community Survey (2014–2018). We use maps to demonstrate the spatial patterning of police-enforced face masking violation rates and COVID-19-related death rates. Using a Bayesian spatial …