NYC Community Health Survey data from 2013 was used to create a series of PowerPoint files that illustrate disparities in health behaviors and conditions by family income, Zip code poverty rate, race/ethnicity and educational attainment.
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Recent Posts
- Social support and intimate partner violence in rural Pakistan: a longitudinal investigation of the bi-directional relationship
- Overflowing Disparities: Examining the Availability of Litter Bins in New York City
- In New York City, pandemic policing reproduced familiar patterns of racial disparities
- The COVID-19 Pandemic as a Threat Multiplier for Childhood Health Disparities: Evidence from St. Louis, MO
- Lessons Learned From Dear Pandemic, a Social Media–Based Science Communication Project Targeting the COVID-19 Infodemic
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- MANstruation: A cyberethnography of linguistic strategies of trans and nonbinary menstruators
- Assessing the Gun Violence Archive as an Epidemiologic Data Source for Community Firearm Violence in 4 US Cities
- Psychometric Properties and Diagnostic Associations of the Short-Form Community Assessment of Psychic Experiences in a Population-Based Sample of 29 021 Adult Men
- Corrigendum: Initial adaptation of the OnTrack coordinated specialty care model in Chile: An application of the Dynamic Adaptation Process
- Correction : Epidemiology and outcomes of early-onset AKI in COVID-19-related ARDS in comparison with non-COVID-19-related ARDS: insights from two prospective global cohort studies
- Suicide Following the COVID-19 Pandemic Outbreak: Variation Across Place, Over Time, and Across Sociodemographic Groups. A Systematic Integrative Review
- Social, educational, and psychological health correlates of e-cigarette and combustible cigarette use among adolescents in the US from 2015 to 2021
- Investigating a Paradox: Towards Better Understanding the Relationships Between Racial Group Membership, Stress, and Major Depressive Disorder
- Spring is associated with increased total and allergenic fungal concentrations in house dust from a pediatric asthma cohort in New York City
- Breast cancer risk prediction combining a convolutional neural network-based mammographic evaluation with clinical factors