Racism and the Political Economy of COVID-19: Will We Continue to Resurrect the Past?

COVID-19 is not spreading over a level playing field; structural racism is embedded within the fabric of American culture, infrastructure investments, and public policy, and fundamentally drives inequities. The same racism that has driven the systematic dismantling of the American social safety-net has also created the policy recipe for American structural vulnerability to the impacts of this and other pandemics. The Bronx provides an important case study for investigating the historical roots of structural inequities showcased by this pandemic; current lived experiences of Bronx residents are rooted in the racialized dismantling of New York City’s public infrastructure and systematic disinvestment. The story of the Bronx is repeating itself, only this time with a novel virus. In order to address the root causes of inequities in cases and deaths due to COVID-19, we need to focus not just on restarting the economy, but on reimagining the economy, divesting of systems rooted in racism and the devaluation of Black and Brown lives

Invited Commentary: What Social Epidemiology Brings to the Table-Reconciling Social Epidemiology and Causal Inference

In response to the Galea and Hernan article, "Win-Win: Reconciling Social Epidemiology and Causal Inference" (Am J Epidemiol. 2020;189(3):167-170), we offer a definition of social epidemiology. We then argue that methodological challenges most salient to social epidemiology have not been adequately addressed in quantitative causal inference, that identifying causes is a worthy scientific goal, and that quantitative causal inference can learn from social epidemiology's methodological innovations. Finally, we make 3 recommendations for quantitative causal inference

How Structural Racism Works — Racist Policies as a Root Cause of U.S. Racial Health Inequities

As a legacy of African enslavement, structural racism affects both population and individual health in three interrelated domains: redlining and racialized residential segregation, mass incarceration and police violence, and unequal medical care

Intersectional disparities in climate vulnerability and cancer risk

Despite significant progress in the early detection, treatment, and survivorship of cancer in recent decades, cancer disparities continue to plague segments of the US population. Many of these cancer disparities, especially those among historically marginalized racial and ethnic groups and those with lower socioeconomic resources, are caused and perpetuated by social and structural barriers to health. These social and structural barriers, which operate beyond the framework of cancer control, also systematically increase vulnerability to and decrease adaptive capacity for the deleterious effects of anthropogenic climate change. The established and emerging overlap between climate vulnerability and cancer risk presents complex challenges to cancer control, specifically among populations who suffer compounding hazards and intersectional vulnerabilities. By embracing these intersections, we may be able to conceptualize promising new research frameworks and programmatic opportunities that decrease vulnerability to a wide range of climate and health threats to advance health equity

Measuring Structural Racism: A Guide for Epidemiologists and Other Health Researchers.

There have been over 100 years of literature discussing the deleterious influence of racism on health. Much of the literature describes racism as a driver of social determinants of health, such as housing, employment, income, and education. More recently, increased attention has been given to measuring the structural nature of a system that advantages one racialized group over others rather than solely relying on individual acknowledgement of racism. Despite these advances, there is still a need for methodological and analytical approaches to complement the aforementioned. This commentary calls on epidemiologists and other health researchers at large to engage the discourse on measuring structural racism. First, we address the conflation between race and racism in epidemiologic research. Next, we offer methodological recommendations (linking of interdisciplinary variables and data sets and leveraging mixed-method and life-course approaches) and analytical recommendations (integration of mixed data, use of multidimensional models) that epidemiologists and other health researchers may consider in health equity research. The goal of this commentary is to inspire the use of up-to-date and theoretically driven approaches to increase discourse among public health researchers on capturing racism as well as to improve evidence of its role as the fundamental cause of racial health inequities

Abstract C083: Exploring relationships between neighborhood social vulnerability and cancer screening in Miami-Dade County

Abstract Purpose: Social and structural contributors to social vulnerability have been associated with cancer disparities across the continuum. This study aimed to explore relationships between indicators of neighborhood social vulnerability and participation in breast, cervical and colorectal cancer screening in Miami-Dade County. Methods: Data were obtained at the census tract level from the United States Census Bureau American Community Survey (2014-2018), the Centers for Disease Control and Prevention (CDC) Social Vulnerability Index (2018), and the CDC PLACES dataset (2018). This analysis was restricted to Miami-Dade census tracts for which PLACES data was available on mammography (n=135), cervical cancer screening (n=115), and colorectal screening (n=136) participation. Census tracts were stratified into tertiles based on screening participation, then social vulnerability indicators were assessed among the tertiles. Principal component analysis (PCA) was used to identify characteristics responsible for most variability in breast, cervical and colorectal cancer screening. Results: Mammography participation was 51.76%, 58.80%, and 65.65% in the lower, middle, and upper tertiles, respectively. Among these tracts, per capita income (p<.001), earning an income below poverty (p<.001), educational attainment below earning an HS diploma (p<.001), the proportion of non-Hispanic White residents (p<.001), unemployed residents (p<.001), residents with a disability (p<.001), and people with no computer or limited access to the internet (p<.001) were significantly different between the tertiles. Cervical cancer screening participation was 79.60%, 84.36%, and 87.80% in the lower, middle, and upper tertiles, respectively. Among these tracts, per capita income (p<.001), earning an income below poverty (p<.001), educational attainment below earning an HS diploma (p<.001), and proportion of single-parent households with children under age 17 (p<.001), non-Hispanic White residents (p<.001), unemployed residents (p<.001), residents with a disability (p<.001), and people with no computer or limited access to the internet (p<.001) were significantly different between the screening tertiles. Colorectal cancer screening participation was 79.26%, 81.06%, and 85.26% in the lower, middle, and upper tertiles, respectively. Among these tracts, per capita income (p<.01), earning an income below poverty (p<.004), educational attainment below earning an HS diploma (p<.001), the proportion of residents with a disability (p<.001), and people with no computer or limited access to the internet (p<.001) were significantly different between the screening tertiles. Conclusions: These data suggest that social vulnerability is associated with cancer screening uptake, namely mammography, cervical cancer screening, and colorectal cancer screening. Further investigation of the social and structural factors contributing to disparities in cancer screening will help appropriately allocate resources and craft effective interventions to reduce the burden of cancer among those most vulnerable. Citation Format: Kilan C. Ashad-Bishop, Jordan A. Baeker-Bispo, Zinzi D. Bailey, Erin K. Kobetz. Exploring relationships between neighborhood social vulnerability and cancer screening in Miami-Dade County [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr C083

Hyperlocal disparities in breast, cervical, and colorectal cancer screening: An ecological study of social vulnerability in Miami-Dade county

Neighborhoods have been identified as important determinants of health-related outcomes, but limited research has assessed the influence of neighborhood context along the cancer continuum. This study used census tract-level data from the United States Census Bureau and Centers for Disease Control and Prevention to characterize Miami-Dade County census tracts (n = 492) into social vulnerability clusters and assess their associated breast, cervical, and colorectal cancer screening participation rates. We identified disparities by social vulnerability cluster in cancer screening participation rates. Further investigation of geographic disparities in social vulnerability and cancer screening participation could inform equity-focused cancer control efforts

Residential segregation and overall survival of women with epithelial ovarian cancer

Background To the authors' knowledge, the etiology of survival disparities in patients with epithelial ovarian cancer (EOC) is not fully understood. Residential segregation, both economic and racial, remains a problem within the United States. The objective of the current study was to analyze the effect of residential segregation as measured by the Index of Concentration at the Extremes (ICE) on EOC survival in Florida by race and/or ethnicity. Methods All malignant EOC cases were identified from 2001 through 2015 using the Florida Cancer Data System (FCDS). Census‐defined places were used as proxies for neighborhoods. Using 5‐year estimates from the American Community Survey, 5 ICE variables were computed: economic (high vs low), race and/or ethnicity (non‐Hispanic white [NHW] vs non‐Hispanic black [NHB] and NHW vs Hispanic), and racialized economic segregation (low‐income NHB vs high‐income NHW and low‐income Hispanic vs high‐income NHW). Random effects frailty models were conducted. Results A total of 16,431 malignant EOC cases were diagnosed in Florida among women living in an assigned census‐defined place within the time period. The authors found that economic and racialized economic residential segregations influenced EOC survival more than race and/or ethnic segregation alone in both NHB and Hispanic women. NHB women continued to have an increased hazard of death compared with NHW women after controlling for multiple covariates, whereas Hispanic women were found to have either a similar or decreased hazard of death compared with NHW women in multivariable Cox models. Conclusions The results of the current study indicated that racial and economic residential segregation influences survival among patients with EOC. Research is needed to develop more robust segregation measures that capture the complexities of neighborhoods to fully understand the survival disparities in EOC. The authors report that racial and economic residential segregation influences survival among women with epithelial ovarian cancer (EOC). Research is needed to develop more robust segregation measures that capture the complexities of neighborhoods to fully understand the survival disparity among women with EOC