Introducing the United States Police-Shooting Database: A Multi-Level Bayesian Analysis of Racial Bias in Police Shootings at the County-Level in the United States, 2011-2014

2014 ◽  
Author(s):  
Cody Ross
Keyword(s):  
United States ◽  
Bayesian Analysis ◽  
Racial Bias ◽  
The United States ◽  
County Level ◽  
Police Shootings ◽  
Multi Level ◽  
Police Shooting

scholarly journals Police Shootings and Race in the United States: Why the Perpetrator Predation Perspective Is Essential to I-O Psychology's Role in Ending This Crisis

2018 ◽  
Vol 11 (1) ◽  
pp. 151-157 ◽  
Author(s):  
Mindy E. Bergman
Keyword(s):  
United States ◽  
The United States ◽  
Oklahoma City ◽  
Stray Dogs ◽  
Police Shootings ◽  
Police Shooting ◽  
Previous Sentence

As I write this essay in mid-September 2017, the news is reporting yet another tragic police shooting that led to the death of a US resident. This time, it was a deaf, nonverbal, Hispanic man in Oklahoma City, Magdiel Sanchez, who happened to be carrying a pipe that he used to fend off stray dogs when he went for walks at night (NewsOK, 2017). To the members of Mr. Sanchez's family and community, his name is the most important part of the previous sentence, but the most terrifying part for the rest of us is the first two words: this time.

scholarly journals Whites’ County-Level Racial Bias, COVID-19 Rates, and Racial Inequities in the United States

2020 ◽  
Vol 17 (22) ◽  
pp. 8695
Author(s):  
Marilyn D. Thomas ◽  
Eli K. Michaels ◽  
Sean Darling-Hammond ◽  
Thu T. Nguyen ◽  
M. Maria Glymour ◽  
...  
Keyword(s):  
United States ◽  
Standard Deviation ◽  
Incidence Rate ◽  
Racial Bias ◽  
The United States ◽  
Mortality Rates ◽  
Incidence Rates ◽  
County Level ◽  
Explicit Bias ◽  
Implicit And Explicit

Mounting evidence reveals considerable racial inequities in coronavirus disease 2019 (COVID-19) outcomes in the United States (US). Area-level racial bias has been associated with multiple adverse health outcomes, but its association with COVID-19 is yet unexplored. Combining county-level data from Project Implicit on implicit and explicit anti-Black bias among non-Hispanic Whites, Johns Hopkins Coronavirus Resource Center, and The New York Times, we used adjusted linear regressions to estimate overall COVID-19 incidence and mortality rates through 01 July 2020, Black and White incidence rates through 28 May 2020, and Black–White incidence rate gaps on average area-level implicit and explicit racial bias. Across 2994 counties, the average COVID-19 mortality rate (standard deviation) was 1.7/10,000 people (3.3) and average cumulative COVID-19 incidence rate was 52.1/10,000 (77.2). Higher racial bias was associated with higher overall mortality rates (per 1 standard deviation higher implicit bias b = 0.65/10,000 (95% confidence interval: 0.39, 0.91); explicit bias b = 0.49/10,000 (0.27, 0.70)) and higher overall incidence (implicit bias b = 8.42/10,000 (4.64, 12.20); explicit bias b = 8.83/10,000 (5.32, 12.35)). In 957 counties with race-specific data, higher racial bias predicted higher White and Black incidence rates, and larger Black–White incidence rate gaps. Anti-Black bias among Whites predicts worse COVID-19 outcomes and greater inequities. Area-level interventions may ameliorate health inequities.

scholarly journals Racial disparities in school-based disciplinary actions are associated with county-level rates of racial bias

2019 ◽  
Vol 116 (17) ◽  
pp. 8255-8260 ◽  
Author(s):  
Travis Riddle ◽  
Stacey Sinclair
Keyword(s):  
United States ◽  
Black Students ◽  
Racial Disparities ◽  
White Students ◽  
Racial Bias ◽  
The United States ◽  
County Level ◽  
Black And White ◽  
Racial Biases ◽  
Using Data

There are substantial gaps in educational outcomes between black and white students in the United States. Recently, increased attention has focused on differences in the rates at which black and white students are disciplined, finding that black students are more likely to be seen as problematic and more likely to be punished than white students are for the same offense. Although these disparities suggest that racial biases are a contributor, no previous research has shown associations with psychological measurements of bias and disciplinary outcomes. We show that county-level estimates of racial bias, as measured using data from approximately 1.6 million visitors to the Project Implicit website, are associated with racial disciplinary disparities across approximately 96,000 schools in the United States, covering around 32 million white and black students. These associations do not extend to sexuality biases, showing the specificity of the effect. These findings suggest that acknowledging that racial biases and racial disparities in education go hand-in-hand may be an important step in resolving both of these social ills.

scholarly journals Gender disparities in opioid treatment progress in methadone versus counseling

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Erick Guerrero ◽  
Hortensia Amaro ◽  
Yinfei Kong ◽  
Tenie Khachikian ◽  
Jeanne C. Marsh
Keyword(s):  
United States ◽  
Treatment Outcomes ◽  
Treatment Plan ◽  
Dropout Rate ◽  
The United States ◽  
Gender Disparities ◽  
Opioid Use ◽  
Lower Odds ◽  
Male Clients ◽  
Multi Level

Abstract Background In the United States, the high dropout rate (75%) in opioid use disorder (OUD) treatment among women and racial/ethnic minorities calls for understanding factors that contribute to making progress in treatment. Whereas counseling and medication for OUD (MOUD, e.g. methadone, buprenorphine, naltrexone) is considered the gold standard of care in substance use disorder (SUD) treatment, many individuals with OUD receive either counseling or methadone-only services. This study evaluates gender disparities in treatment plan progress in methadone- compared to counseling-based programs in one of the largest SUD treatment systems in the United States. Methods Multi-year and multi-level (treatment program and client-level) data were analyzed using the Integrated Substance Abuse Treatment to Eliminate Disparities (iSATed) dataset collected in Los Angeles County, California. The sample consisted of 4 waves: 2011 (66 SUD programs, 1035 clients), 2013 (77 SUD programs, 3686 clients), 2015 (75 SUD programs, 4626 clients), and 2017 (69 SUD programs, 4106 clients). We conducted two multi-level negative binomial regressions, one per each outcome (1) making progress towards completing treatment plan, and (2) completing treatment plan. We included outpatient clients discharged on each of the years of the study (over 95% of all clients) and accounted for demographics, wave, homelessness and prior treatment episodes, as well as clients clustered within programs. Results We detected gender differences in two treatment outcomes (progress and completion) considering two outpatient program service types (MOUD-methadone vs. counseling). Clients who received methadone vs. counseling had lower odds of completing their treatment plan (OR = 0.366; 95% CI = 0.163, 0.821). Female clients receiving methadone had lower odds of both making progress (OR = 0.668; 95% CI = 0.481, 0.929) and completing their treatment plan (OR = 0.666; 95% CI = 0.485, 0.916) compared to male clients and receiving counseling. Latina clients had lower odds of completing their treatment plan (OR = 0.617; 95% CI = 0.408, 0.934) compared with non-Latina clients. Conclusions Clients receiving methadone, the most common and highly effective MOUD in reducing opioid use, were less likely to make progress towards or complete their treatment plan than those receiving counseling. Women, and in particular those identified as Latinas, were least likely to benefit from methadone-based programs. These findings have implications for health policy and program design that consider the need for comprehensive and culturally responsive services in methadone-based programs to improve outpatient treatment outcomes among women.

scholarly journals Effect of specific non-pharmaceutical intervention policies on SARS-CoV-2 transmission in the counties of the United States

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Bingyi Yang ◽  
Angkana T. Huang ◽  
Bernardo Garcia-Carreras ◽  
William E. Hart ◽  
Andrea Staid ◽  
...  
Keyword(s):  
United States ◽  
Home Visiting ◽  
Leisure Activities ◽  
The United States ◽  
Causal Effects ◽  
Basic Reproductive Number ◽  
Reproductive Number ◽  
County Level ◽  
Metapopulation Model ◽  
Pharmaceutical Interventions

AbstractNon-pharmaceutical interventions (NPIs) remain the only widely available tool for controlling the ongoing SARS-CoV-2 pandemic. We estimated weekly values of the effective basic reproductive number (Reff) using a mechanistic metapopulation model and associated these with county-level characteristics and NPIs in the United States (US). Interventions that included school and leisure activities closure and nursing home visiting bans were all associated with a median Reff below 1 when combined with either stay at home orders (median Reff 0.97, 95% confidence interval (CI) 0.58–1.39) or face masks (median Reff 0.97, 95% CI 0.58–1.39). While direct causal effects of interventions remain unclear, our results suggest that relaxation of some NPIs will need to be counterbalanced by continuation and/or implementation of others.

scholarly journals Integrating County-Level Socioeconomic Data for COVID-19 Forecasting in the United States

2021 ◽  
pp. 1-1
Author(s):  
Michael C. Lucic ◽  
Hakim Ghazzai ◽  
Carlo Lipizzi ◽  
Yehia Massoud
Keyword(s):  
United States ◽  
The United States ◽  
County Level ◽  
Socioeconomic Data
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