Oral cancer incidence rate is associated with access to dental care: City and statewide analyses.

INTRODUCTION: Access to dental care may affect diagnosis of oral squamous cell carcinoma (OSCC). We tested whether the incidence rate of OSCC is higher in regions with less dental care access in the city of Chicago and state of Illinois. STUDY DESIGN: Ecological cohort. SETTING: Population, outpatients, and inpatients. METHODS: We extracted 5-year averages of the state-wide county-level and city-level OSCC incidence rates from 2015 to 2019 from the Illinois Department of Public Health. Dental care access information was also collected for each county for the same period, as well as the percentage of people that had ≥1 visit to a dentist in the previous year in Chicago. Multivariate Poisson regression was used to investigate the relationship between county-level access to dental care (and city-level dentist visits) and OSCC incidence rate, controlling for confounders, with additional flexible semiparametric models for confirmatory sensitivity analysis. RESULTS: In Illinois, higher 5-year incidence rate of OSCC was significantly associated with low access to dental care by county (IRR = 0.96, 95% CI 0.91, 0.98). Southern/southwestern counties had higher incidence rates of OSCC (15.5%-28.4%) and the lowest rates of dental care access (47.5%-69.2%) compared to northern counties (10.3%-15% and 55.4%-80.6%, respectively). In Chicago, people with more dentist visits had a reduced chance of being diagnosed with OSCC (IRR = 0.97, 95% CI 0.91, 0.99), consistent with state-wide analyses. CONCLUSION: OSCC incidence rate is closely associated with poor local dental healthcare access in a major state and urban city. Increasing dental access could improve cancer outcomes via improved oral health and earlier detection.

Social-spatial network structures and community ties of egocentric sex and confidant networks: A Chicago case study.

Exploring how sexual and confidant networks overlap spatially and socially could facilitate a better understanding of sexually transmitted infection risk, as well as help identify areas for interventions. This study aims to examine how a sexual and peer-affiliate network is impacted or shaped by interconnected social relationships and spatial patterns. We used data collected from a sample of 618 young black men who have sex with men (YBMSM) and transgender women in Chicago (2013-2014) that includes partner and confidant links, geolocations, and pre-exposure prophylaxis (PrEP) awareness. We spatialize different types of social networks and examine joint social-spatial community ties to both identify and differentiate social-spatial behavioral patterns. We explore the spatial structures of the social network by comparing ego-alter network residence patterns, visualizing ego-alter community ties in aggregate, and grouping different types of dyad relationships based on their spatial structure. Findings showed overlapping social and sexual networks. Egos with partners residing in more resourced communities furthest away, with wider alter-ego power differentials, also tended to be at greatest risk. Identifying the social-spatial structures of community ties is critical to enhance our understanding of the spatial context of social relationships, and further distill risk heterogeneity in vulnerable populations within an equitable health framework.

Rural risk environments, opioid-related overdose, and infectious diseases: A multidimensional, spatial perspective.

BACKGROUND: Much remains unknown in rural risk environments, despite a growing crisis in these areas. We adapt a risk environment framework to characterize rural southern Illinois and describe the relations of risk environments, opioid-related overdose, HIV, Hepatitis C, and sexually transmitted infection rates between 2015 and 2017. METHODS: Over two dozen risk environment variables are summarized across zip-code (n = 128) or county levels (n = 16) based on availability and theoretical relevance. We calculate data attribute associations and characterize spatial and temporal dimensions of longitudinal health outcomes and the rural risk environment. We then use a "regional typology analysis" to generate data-driven risk regions and compare health outcomes. RESULTS: Pervasive risk hotspots were identified in more populated locales with higher rates of overdose and HCV incidence, whereas emerging risk areas were isolated to more rural locales that had experienced an increase in analgesic opiate overdoses and generally lacked harm-reduction resources. At-risk areas were characterized with underlying socioeconomic vulnerability but in differing ways, reflecting a nuanced and shifting structural risk landscape. CONCLUSIONS: Rural risk environment vulnerabilities and associated opioid-related health outcomes are multifaceted and spatially heterogeneous. More research is needed to better understand how refining geographies to more precisely define risk can support intervention efforts and further enrich investigations of the opioid epidemic.

Identifying Areas with Disproportionate Local Health Department Services Relative to Opioid Overdose, HIV and Hepatitis C Diagnosis Rates: A Study of Rural Illinois.

Background: U.S. rural populations have been disproportionately affected by the syndemic of opioid-use disorder (OUD) and the associated increase in overdoses and risk of hepatitis C virus (HCV) and human immunodeficiency virus (HIV) transmission. Local health departments (LHDs) can play a critical role in the response to this syndemic. We utilized two geospatial approaches to identify areas of discordance between LHD service availability and disease burden to inform service prioritization in rural settings. Methods: We surveyed rural Illinois LHDs to assess their OUD-related services, and calculated county-level opioid overdose, HIV, and hepatitis C diagnosis rates. Bivariate choropleth maps were created to display LHD service provision relative to disease burden in rural Illinois counties. Results: Most rural LHDs provided limited OUD-related services, although many LHDs provided HIV and HCV testing. Bivariate mapping showed rural counties with limited OUD treatment and HIV services and with corresponding higher outcome/disease rates to be dispersed throughout Illinois. Additionally, rural counties with limited LHD-offered hepatitis C services and high hepatitis C diagnosis rates were geographically concentrated in southern Illinois. Conclusions: Bivariate mapping can enable geographic targeting of resources to address the opioid crisis and related infectious disease by identifying areas with low LHD services relative to high disease burden.