Correlation of SARS-CoV-2 in Wastewater and Individual Testing Results in a Jail, Atlanta, Georgia, USA.

Institution-level wastewater-based surveillance was implemented during the COVID-19 pandemic, including in carceral facilities. We examined the relationship between COVID-19 diagnostic test results of residents in a jail in Atlanta, Georgia, USA (average population ≈2,700), and quantitative reverse transcription PCR signal for SARS-CoV-2 in weekly wastewater samples collected during October 2021‒May 2022. The jail offered residents rapid antigen testing at entry and periodic mass screenings by reverse transcription PCR of self-collected nasal swab specimens. We aggregated individual test data, calculated the Spearman correlation coefficient, and performed logistic regression to examine the relationship between strength of SARS-CoV-2 PCR signal (cycle threshold value) in wastewater and percentage of jail population that tested positive for COVID-19. Of 13,745 nasal specimens collected, 3.9% were COVID-positive (range 0%-29.5% per week). We observed a strong inverse correlation between diagnostic test positivity and cycle threshold value (r = -0.67; p<0.01). Wastewater-based surveillance represents an effective strategy for jailwide surveillance of COVID-19.

Colorectal cancer survival disparities in the five regions of Georgia.

BACKGROUND/OBJECTIVE: The objective of this study was to examine 5-year colorectal cancer survival rates. We also determined whether demographics, tumor characteristics, and treatment modality were associated with 5-year CRC survival in the Clayton, West Central, East Central, Southeast, and Northeast Georgia regions because the significant higher CRC mortality rates in these regions in comparison to the overall rates in the State of Georgia. METHODS: We conducted a retrospective cohort analysis using data from the 1975-2016 Surveillance, Epidemiology, and End Results program aggregated CRC patients to these five regions. Five-year CRC survival was calculated and stratified by the five regions of Georgia, using the Kaplan-Meier method with log-rank test. Cox proportional hazard regression was used to examine the mentioned association in these five regions. RESULTS: Among 11,023 CRC patients, 5-year CRC survival was lowest in Clayton (65.9%) compared to the West Central (69.0%), East Central (68.2%), Southeast (70.5%), and Northeast regions (69.5%) (p-value = 0.02). In multivariable analysis, greater risk of CRC death was found in the Clayton region compared to the West Central (HR, 1.12; 95%, 1.00-1.25) region when adjusting for demographics, tumor characteristics, and treatment modality. Among Clayton Georgians, age of 75+ years (HR, 2.13; 95%, 1.56-2.89), grade 3 & 4 tumors (HR, 2.22; 95%, 1.64-3.00), and distant stage (HR, 20.95; 95%, 15.99-27.45) were negatively associated with CRC survival. CONCLUSION: We observed place-based differences in CRC survival with significantly lower survival rates in the Clayton region. Factors associated with higher risk of CRC death include older age at diagnosis, high-grade tumors, and distant stage CRC among Clayton Georgians. Our study provides important evidence to all relevant stakeholders in furthering the development of culturally tailored CRC screening interventions aimed at CRC early detection and improved outcomes.

National Quality Indicators in Pediatric Sickle Cell Anemia.

OBJECTIVE: To assess nationally endorsed claims-based quality measures in pediatric sickle cell anemia (SCA). METHODS: Using data from the Sickle Cell Data Collection programs in California and Georgia from 2010 to 2019, we evaluated 2 quality measures in individuals with hemoglobin S/S or S/ß-zero thalassemia: (1) the proportion of patients aged 3 months to 5 years who were dispensed antibiotic prophylaxis for at least 300 days within each measurement year and (2) the proportion of patients aged 2 to 15 years who received at least 1 transcranial Doppler ultrasound (TCD) within each measurement year. We then evaluated differences by year and tested whether performance on quality measures differed according to demographic and clinical factors. RESULTS: Only 22.2% of those in California and 15.5% in Georgia met or exceeded the quality measure for antibiotic prophylaxis, with increased odds associated with rural residence in Georgia (odds ratio 1.61; 95% confidence interval 1.21-2.14) compared with urban residence and a trend toward increased odds associated with a pediatric hematologist prescriber (odds ratio 1.28; 95% confidence interval 0.97, 1.69) compared with a general pediatrician. Approximately one-half of the sample received an annual assessment of stroke risk using TCD (47.4% in California and 52.7% in Georgia), with increased odds each additional year in both states and among younger children. CONCLUSIONS: The rates of receipt of recommended antibiotic prophylaxis and annual TCD were low in this sample of children with SCA. These evidence-based quality measures can be tracked over time to help identify policies and practices that maximize survival in SCA.

Quantifying Multipollutant Health Impacts Using the Environmental Benefits Mapping and Analysis Program-Community Edition (BenMAP-CE): A Case Study in Atlanta, Georgia.

BACKGROUND: Air pollution risk assessments do not generally quantify health impacts using multipollutant risk estimates, but instead use results from single-pollutant or copollutant models. Multipollutant epidemiological models account for pollutant interactions and joint effects but can be computationally complex and data intensive. Risk estimates from multipollutant studies are therefore challenging to implement in the quantification of health impacts. OBJECTIVES: Our objective was to conduct a case study using a developmental multipollutant version of the Environmental Benefits Mapping and Analysis Program-Community Edition (BenMAP-CE) to estimate the health impact associated with changes in multiple air pollutants using both a single and multipollutant approach. METHODS: BenMAP-CE was used to estimate the change in the number of pediatric asthma emergency department (ED) visits attributable to simulated changes in air pollution between 2011 and 2025 in Atlanta, Georgia, applying risk estimates from an epidemiological study that examined short-term single-pollutant and multipollutant (with and without first-order interactions) exposures. Analyses examined individual pollutants (i.e., ozone, fine particulate matter, carbon monoxide, nitrogen dioxide (NO2), sulfur dioxide, and particulate matter components) and combinations of these pollutants meant to represent shared properties or predefined sources (i.e., oxidant gases, secondary pollutants, traffic, power plant, and criteria pollutants). Comparisons were made between multipollutant health impact functions (HIF) and the sum of single-pollutant HIFs for the individual pollutants that constitute the respective pollutant groups. RESULTS: Photochemical modeling predicted large decreases in most of the examined pollutant concentrations between 2011 and 2025 based on sector specific (i.e., source-based) estimates of growth and anticipated controls. Estimated number of avoided asthma ED visits attributable to any given multipollutant group were generally higher when using results from models that included interaction terms in comparison with those that did not. We estimated the greatest number of avoided pediatric asthma ED visits for pollutant groups that include NO2 (i. e., criteria pollutants, oxidants, and traffic pollutants). In models that accounted for interaction, year-round estimates for pollutant groups that included NO2 ranged from 27.1 [95% confidence interval (CI): 1.6, 52.7; traffic pollutants] to 55.4 (95% CI: 41.8, 69.0; oxidants) avoided pediatric asthma ED visits. Year-round results using multipollutant risk estimates with interaction were comparable to the sum of the single-pollutant results corresponding to most multipollutant groups [e.g., 52.9 (95% CI: 43.6, 62.2) for oxidants] but were notably lower than the sum of the single-pollutant results for some pollutant groups [e.g., 77.5 (95% CI: 66.0, 89.0) for traffic pollutants]. DISCUSSION: Performing a multipollutant health impact assessment is technically feasible but computationally complex. It requires time, resources, and detailed input parameters not commonly reported in air pollution epidemiological studies. Results estimated using the sum of single-pollutant models are comparable to those quantified using a multipollutant model. Although limited to a single study and location, assessing the trade-offs between a multipollutant and single-pollutant approach is warranted. https://doi.org/10.1289/EHP12969.

Association of Major Adverse Financial Events and Later-Stage Cancer Diagnosis in the United States.

PURPOSE: This study assessed the prevalence of specific major adverse financial events (AFEs)-bankruptcies, liens, and evictions-before a cancer diagnosis and their association with later-stage cancer at diagnosis. METHODS: Patients age 20-69 years diagnosed with cancer during 2014-2015 were identified from the Seattle, Louisiana, and Georgia SEER population-based cancer registries. Registry data were linked with LexisNexis consumer data to identify patients with a history of court-documented AFEs before cancer diagnosis. The association of AFEs and later-stage cancer diagnoses (stages III/IV) was assessed using separate sex-specific multivariable logistic regression. RESULTS: Among 101,649 patients with cancer linked to LexisNexis data, 36,791 (36.2%) had a major AFE reported before diagnosis. The mean and median timing of the AFE closest to diagnosis were 93 and 77 months, respectively. AFEs were most common among non-Hispanic Black, unmarried, and low-income patients. Individuals with previous AFEs were more likely to be diagnosed with later-stage cancer than individuals with no AFE (males-odds ratio [OR], 1.09 [95% CI, 1.03 to 1.14]; P < .001; females-OR, 1.18 [95% CI, 1.13 to 1.24]; P < .0001) after adjusting for age, race, marital status, income, registry, and cancer type. Associations between AFEs prediagnosis and later-stage disease did not vary by AFE timing. CONCLUSION: One third of newly diagnosed patients with cancer had a major AFE before their diagnosis. Patients with AFEs were more likely to have later-stage diagnosis, even accounting for traditional measures of socioeconomic status that influence the stage at diagnosis. The prevalence of prediagnosis AFEs underscores financial vulnerability of patients with cancer before their diagnosis, before any subsequent financial burden associated with cancer treatment.

Racial disparities in the relationship of regional socioeconomic status and colorectal cancer survival in the five regions of Georgia.

INTRODUCTION: The study's purpose was to examine 5-year colorectal cancer (CRC) survival rates between White and Black patients. We also determined whether regional socioeconomic status (SES) is associated with CRC survival between White and Black patients in the Clayton, West Central, East Central, Southeast, and Northeast Georgia public health districts. METHODS: We performed a retrospective cohort analysis using data from the 1975 to 2016 Surveillance, Epidemiology, and End Results program. The 2015 United States Department of Agriculture Economic Research Services county typology codes were used to identify region-level SES with persistent poverty, low employment, and low education. Kaplan-Meier method and Cox proportional hazard regression were performed. RESULTS: Among 10,876 CRC patients (31.1% Black patients), 5-year CRC survival rates were lower among Black patients compared to White patients (65.4% vs. 69.9%; p < 0.001). In multivariable analysis, White patients living in regions with persistent poverty had a 1.1-fold increased risk of CRC death (HR, 1.12; 95% CI, 1.00-1.25) compared to those living in non-persistent poverty regions. Among Black patients, those living in regions with low education were at a 1.2-fold increased risk of CRC death (HR, 1.19; 95% CI, 1.01-1.40) compared to those living in non-low education regions. DISCUSSION AND CONCLUSIONS: Black patients demonstrated lower CRC survival rates in Georgia compared to their White counterparts. White patients living in regions with persistent poverty, and Black patients living in regions with low education had an increased risk of CRC death. Our findings provide important evidence to all relevant stakeholders in allocating health resources aimed at CRC early detection and prevention and timely referral for CRC treatment by considering the patient's regional SES in Georgia.

Addressing the Community Resource and Social Service Needs of Families During the COVID-19 Pandemic: Perspectives of Home Visiting Staff and Clients in Georgia.

INTRODUCTION: Home visiting programs provide support services to families and their children to promote positive health outcomes. This study sought to describe strategies employed by home visiting programs during the early phase of the COVID-19 pandemic to address the community resource and social service needs of home visiting clients in Georgia. METHODS: We conducted a mixed methods study between December 2020 and April 2021 using online surveys and key informant interviews of home visiting staff and clients from 21 program sites. Structured content analysis was conducted of the triangulated data to elicit thematic findings. RESULTS: Due to the pandemic-induced economic conditions, clients expressed increased demand for housing, employment, and childcare support services. Staff experienced challenges with client referrals to these services because of interruptions in social service availability and transitions to virtual services. In response to these challenges, home visiting programs strengthened existing community partnerships and created new collaborations with local agencies to fill any gaps in services. DISCUSSION: Home visiting programs in Georgia provided critical linkages to community resources for families during the early phase of the pandemic. Preserving this essential home visiting service in future national emergencies will require improved coordination of community resources and social services.

Stress and suicidal ideation among first-generation farmers: A cross-sectional study with 1,288 farmers in Georgia.

PURPOSE: The suicide rate among farmers is higher than that of the overall working population. Literature on farmer mental health in Georgia (GA) has been scarce and mostly focused on suicide as a result. Literature on stressors or coping are mostly qualitative studies. This study looks at the influence of being a first-generation farmer on farm-related stressors and coping mechanisms. METHODS: This cross-sectional study inventories mental well-being, stressors, and coping mechanisms for different types of farmers in GA, USA. The online survey ran from January 2022 through April 2022. Participants (N = 1,288) were asked about demographics, work descriptors, health care access, specific stressors, stress levels, and coping mechanisms. FINDINGS: Two-thirds of our sample were first-generation farmers. First-generation farmers had a higher stress score on average, as well as being more likely to feel depressed, and feel hopeless. They also showed less diverse coping mechanisms than generational farmers, with alcohol in their top 3 coping mechanisms. First-generation farmers were also much more likely to experience suicidal ideation: 9% daily and 61% at least once in the past year (vs generational: 1% daily; 20% once in the past year). Binary logistic regression indicated that having more diverse coping mechanisms is a protective factor against suicidal ideation within the previous year. The same model indicated that being a farm owner or farm manager, being first-generation, being unhappy with one's role, feeling sad or depressed, and feeling hopeless were all risk factors. CONCLUSIONS: First-generation farmers experience more stress and exhibit more risk factors for suicidal ideation than generational farmers.

Factors Predicting Apparent Ophidiomycosis in Wild Brown Watersnakes (Nerodia taxispilota).

Ophidiomycosis, also known as snake fungal disease, is caused by Ophidiomyces ophidiicola and is a threat to snake conservation worldwide. Ophidiomycosis has been reported throughout much of the eastern US, and outbreaks have been associated with local population declines of already strained populations. Previous studies report significant variability in ophidiomycosis among species sampled, with higher prevalence typically observed in Nerodia spp. Although ophidiomycosis can lead to morbidity and mortality in affected individuals, little is known about disease dynamics in free-ranging populations. Herein, we examine how individual-specific factors (e.g., life stage [immature, mature], contaminant status, sex, hemograms) may be associated with ophidiomycosis status in the brown watersnake (Nerodia taxispilota). During 2018-19, we sampled 97 N. taxispilota from five locations along the Savannah River in South Carolina and Georgia, US. Ophidiomyces ophidiicola DNA was detected in 66 snakes for a prevalence of 68% (95% confidence interval, 59-77). Mature snakes had a significantly higher risk of apparent ophidiomycosis (skin lesions present and quantitative PCR [qPCR], positive) relative to immature snakes. Snakes classified as having possible (skin lesions present, but qPCR negative) or apparent ophidiomycosis exhibited a relative azurophilia and heterophilia compared with individuals classified as negative (P≤0.037). Nerodia taxispilota in this region appear to have a high prevalence of apparent ophidiomycosis (22%; 95% CI, 14-31), similar to previous reports from the southeastern US. Additional epidemiologic investigations are warranted to further elucidate other individual-specific and environmental factors that may dictate disease risk and outcomes in affected populations.

Case Ascertainment of Sickle Cell Disease Using Surveillance or Single Administrative Database Case Definitions.

OBJECTIVE: In the absence of access to surveillance system data, single-source administrative databases are often used to study health care utilization and health outcomes among people with sickle cell disease (SCD). We compared the case definitions from single-source administrative databases with a surveillance case definition to identify people with SCD. MATERIALS AND METHODS: We used data from Sickle Cell Data Collection programs in California and Georgia (2016-2018). The surveillance case definition for SCD developed for the Sickle Cell Data Collection programs uses multiple databases, including newborn screening, discharge databases, state Medicaid programs, vital records, and clinic data. Case definitions for SCD in single-source administrative databases varied by database (Medicaid and discharge) and years of data (1, 2, and 3 years). We calculated the proportion of people meeting the surveillance case definition for SCD that was captured by each single administrative database case definition for SCD, by birth cohort, sex, and Medicaid enrollment. RESULTS: In California, 7117 people met the surveillance case definition of SCD from 2016 through 2018; 48% of this group was captured by the Medicaid case definition and 41% by the discharge case definition. In Georgia, 10 448 people met the surveillance case definition of SCD from 2016 through 2018; 45% of this group was captured by the Medicaid case definition and 51% by the discharge case definition. These proportions differed by years of data, birth cohort, and length of Medicaid enrollment. PRACTICE IMPLICATIONS: The surveillance case definition identified twice as many people with SCD as the single-source administrative database definitions during the same period, but trade-offs exist in using single administrative databases for decisions on policy and program expansion for SCD.

Quantifying racial disparities in risk of invasive Staphylococcus aureus infection in Metropolitan Atlanta, Georgia, during the 2020-2021 coronavirus disease 2019 (COVID-19) pandemic.

We estimated the racial disparity in rates of invasive S. aureus infections based on community coronavirus disease 2019 (COVID-19) rates at the county level. Our data suggest that COVID-19 infection burden (1) affects not only hospital-onset MRSA invasive infection risk but also community-onset S. aureus invasive infection risk and (2) affects Black residents ∼60% more than White residents.

A Comparison of Three Area-Level Indices of Neighborhood Deprivation and Socioeconomic Status and their Applicability to Breast Cancer Mortality.

Neighborhood deprivation indices are widely used in research, but the performance of these indices has rarely been directly compared in the same analysis. We examined the Area Deprivation Index, Neighborhood Deprivation Index, and Yost index, and compared their associations with breast cancer mortality. Indices were constructed for Georgia census block groups using 2011-2015 American Community Survey data. Pearson correlation coefficients and percent agreement were calculated. Associations between each index and breast cancer mortality were estimated among 36,795 women diagnosed with breast cancer using Cox proportional hazards regression. The indices were strongly correlated (absolute value of correlation coefficients > 0.77), exhibited moderate (41.4%) agreement, and were similarly associated with a 36% increase in breast cancer mortality. The similar associations with breast cancer mortality suggest the indices measure the same underlying construct, despite only moderate agreement. By understanding their correlations, agreement, and associations with health outcomes, researchers can choose the most appropriate index for analysis.

A Community-Engaged Approach to Understanding Suicide in a Small Rural County in Georgia: A Two-Phase Content Analysis of Individual and Focus Group Interviews.

Suicide is a significant public health problem, with disproportionate rates in rural areas. Rural communities face substantial structural and cultural barriers to suicide prevention. This study aimed to gain a deeper understanding of the need for suicide prevention and gauge the appropriateness of prevention efforts in the context of a rural Georgia county by leveraging existing community resources and knowledge. Twenty one-on-one, semi-structured interviews and two focus groups were conducted, with participants recruited via purposive snowball sampling. Data analysis included qualitative deductive and inductive content analysis from individual interviews and focus groups with community stakeholders. The findings highlight how rural contexts exacerbate drivers of death by suicide and how the substantial loss of community members to suicide contributes to the ongoing crisis and reduces available support. Access to mental health care often depended on a connection to an established public system such as schools, a military base, or Veterans Administration. There were perceived gaps in crisis and post-crisis services, with participants actively trying to address these gaps and build community support through coalition building. This study contributes knowledge to contextual drivers of suicide in rural areas beyond individual-level risk factors. Community-engaged suicide prevention research in rural areas is promising, but there is a need to develop interventions to best support coalition building and capacity development.

Effects of vaccination on the two-strain transmission dynamics of COVID-19: Dougherty County, Georgia, USA, as a case study.

The emergence of multiple strains of SARS-COV-2 has made it complicated to predict and control the COVID-19 pandemic. Although some vaccines have been effective in reducing the severity of the disease, these vaccines are designed for a specific strain of the virus and are usually less effective for other strains. In addition, the waning of vaccine-induced immunity, reinfection of recovered people, and incomplete vaccination are challenging to the vaccination program. In this study, we developed a detailed model to describe the multi-strain transmission dynamics of COVID-19 under vaccination. We implemented our model to examine the impact of inter-strain transmission competition under vaccination on the critical outbreak indicators: hospitalized cases, undiagnosed cases, basic reproduction numbers, and the overtake-time by a new strain to the existing strain. In particular, our results on the dependence of the overtake-time on vaccination rates, progression-to-infectious rate, and relative transmission rates provide helpful information for managing a pandemic with circulating two strains. Furthermore, our results suggest that a reduction in the relative transmission rates and a decrease in vaccination dropout rates or an increase in vaccination rates help keep the reproduction number of both strains below unity and keep the number of hospitalized cases and undiagnosed cases at their lowest levels. Moreover, our analysis shows that the second and booster-dose vaccinations are useful for further reducing the reproduction number.

Risk Factors Associated with Congenital Syphilis, Georgia, 2008-2015.

Background: Congenital syphilis (CS) is associated with significant perinatal morbidity and mortality. The study objectives were to compare risk factors among women with syphilis infection whose pregnancies did and did not result in CS cases and to evaluate other geographic and socioeconomic characteristics of county of residence as a measure of healthcare inequity. Methods: This study linked maternal and congenital syphilis data from the Georgia Department of Public Health (DPH), 2008-2015. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline was followed. Demographic, behavioral, and case characteristics were compared among women with syphilis infection who did and did not have an infant with CS. Chi-square, Fisher's exact, and multivariate regression analyses were performed using STATA 14.2 (College Station, TX). Results: Of 505 women with syphilis infection, 23% had an infant with CS, while 77% did not. After adjusting for race/ethnicity, factors associated with CS outcome were age greater than 35 years (adjusted odds ratio (aOR) 3.88; 95% confidence interval (CI) 1.01-14.89), hospital/emergency department diagnosis of syphilis (aOR 3.43; 95% CI 1.54-7.62), and high-risk behaviors such as exchanging sex for money or drugs (aOR 3.25; 95% CI 1.18-8.98). There were no associations between characteristics of county of residence and CS outcome. Conclusions: This study highlights risk factors that may be associated with CS incidence and the adverse pregnancy outcomes associated with CS. Further work is needed to study improved data collection systems, contributing factors related to CS as well as prevention measures in the United States.

Dynamic Patterns and Modeling of Early COVID-19 Transmission by Dynamic Mode Decomposition.

INTRODUCTION: Understanding the transmission patterns and dynamics of COVID-19 is critical to effective monitoring, intervention, and control for future pandemics. The aim of this study was to investigate the spatial and temporal characteristics of COVID-19 transmission during the early stage of the outbreak in the US, with the goal of informing future responses to similar outbreaks. METHODS: We used dynamic mode decomposition (DMD) and national data on COVID-19 cases (April 6, 2020-October 9, 2020) to model the spread of COVID-19 in the US as a dynamic system. DMD can decompose the complex evolution of disease cases into linear combinations of simple spatial patterns or structures (modes) with time-dependent mode amplitudes (coefficients). The modes reveal the hidden dynamic behaviors of the data. We identified geographic patterns of COVID-19 spread and quantified time-dependent changes in COVID-19 cases during the study period. RESULTS: The magnitude analysis from the dominant mode in DMD showed that California, Louisiana, Kansas, Georgia, and Texas had higher numbers of COVID-19 cases than other areas during the study period. States such as Arizona, Florida, Georgia, Massachusetts, New York, and Texas showed simultaneous increases in the number of COVID-19 cases, consistent with data from the Centers for Disease Control and Prevention. CONCLUSION: Results from DMD analysis indicate that certain areas in the US shared similar trends and similar spatiotemporal transmission patterns of COVID-19. These results provide valuable insights into the spread of COVID-19 and can inform policy makers and public health authorities in designing and implementing mitigation interventions.

Political representation and perinatal outcomes to Black, White, and Hispanic people in Georgia: a cross-sectional study.

PURPOSE: Our goal was to estimate differences in perinatal outcomes by racial differences in political representation, a measure of structural racism. METHODS: We gathered data on the racial composition of county-level elected officials for all counties in Georgia (n = 159) in 2022. We subtracted the percent of non-White elected officials from the percent of non-White residents to calculate the "representation difference," with greater positive values indicating a larger disparity. We linked this to data from 2020-2021 birth certificates (n = 238,795) on outcomes (preterm birth, <37 weeks, low birthweight birth <2500 g, birthweight, hypertensive disorders of pregnancy, cesarean delivery). We fit log binomial and linear models with generalized estimating equations, stratified by individual race/ethnicity and including individual and county covariates. RESULTS: Median representation difference was 17.5% points (interquartile range: 17.2). A 25-percentile point increase in representation difference was associated with a greater risk of hypertensive disorders of pregnancy [White: adjusted risk ratio (RR): 1.12, 95% confidence interval (CI): (1.05, 1.2), Black: 1.06, 95% CI: (0.95, 1.17), other: 1.14, 95% CI: (1.0, 1.3), Hispanic: 1.19, 95% CI: (1.07, 1.32)] and lower mean birthweight for Black birthing people [adjusted beta -15.3, 95% CI: (-25.5, -7.4)]. CONCLUSIONS: Parity in political representation may be associated with healthier environments.

Wastewater-Based Surveillance Does Not Belong in a Regulatory Framework Designed to Protect Waters That Receive Treated Wastewater. Comment on Wright, T.; Adhikari, A. Utilizing a National Wastewater Monitoring Program to Address the U.S. Opioid Epidemic: A Focus on Metro Atlanta, Georgia. Int. J. Environ. Res. Public Health 2023, 20, 5282.

We read with great interest the work by Wright and Adhikari on "Utilizing a National Wastewater Monitoring Program to Address the U.S. Opioid Epidemic: A Focus on Metro Atlanta, Georgia" [...].

Angiostrongylus cantonensis Infection in Brown Rats (Rattus norvegicus), Atlanta, Georgia, USA, 2019-2022.

Rat lungworm (Angiostrongylus cantonensis), a zoonotic parasite invasive to the United States, causes eosinophilic meningoencephalitis. A. cantonensis harbors in rat reservoir hosts and is transmitted through gastropods and other paratenic hosts. We discuss the public health relevance of autochthonous A. cantonensis cases in brown rats (Rattus norvegicus) in Atlanta, Georgia, USA.

A qualitative analysis examining intersectional stigma among young adults living with HIV in Atlanta, Georgia.

HIV-related stigma is a barrier to engagement in care for young adults living with HIV. Other intersecting forms of stigma (e.g., racism, sexism, homophobia), may worsen HIV-related stigma and impact engagement in care. From November 2020 to February 2021, we conducted 20 in-depth qualitative interviews among young adults living with HIV attending a large, comprehensive HIV care center in Atlanta, Georgia. Semi-structured interview guides based on Earnshaw and Chaudoir's HIV Stigma Framework and the theory of intersectionality facilitated discussion around experiences with various forms of stigma and its possible influence on healthcare engagement. Using the social-ecological model, we used thematic analysis to contextualize how young adults living with HIV experienced intersectional stigma and enacted, anticipated, and internalized HIV stigma in both healthcare and non-healthcare settings. Most participants identified as male, Black/African American, and gay. Participants described stigma at intrapersonal, interpersonal, clinic, and community levels. Intrapersonal stigma was associated with delayed care seeking, isolation, and fear of disclosure. Interpersonal stigma included discrimination from family and friends and avoidance of close relationships to elude disclosure. At the clinic level, stigma included negative experiences with staff in HIV and non-HIV healthcare settings, which contributed to decreased engagement in care. Stigma in the community included differential treatment from employers, community leaders, and religious community and was associated with feelings of helplessness related to current societal inequalities. Coping/motivating mechanisms for stigma included prioritizing health, eliciting support from the medical care team and peers. Our findings show different intersecting stigmas are barriers to healthcare at multiple levels for young adults living with HIV, potentially exacerbating existing health and social disparities. To improve engagement in care among young adults living with HIV, future interventions should address the different mechanisms of stigma at community, clinic, interpersonal and intrapersonal levels by enhancing social support and improving healthcare structural competency.