Validation of Saliva as the Clinical Specimen Type for a University-Wide COVID-19 Surveillance Program.

At the beginning of the COVID-19 pandemic, the Georgia Institute of Technology made the decision to keep the university doors open for on-campus attendance. To manage COVID-19 infection rates, internal resources were applied to develop and implement a mass asymptomatic surveillance program. The objective was to identify infections early for proper follow-on verification testing, contact tracing, and quarantine/isolation as needed. Program success depended on frequent and voluntary sample collection from over 40,000 students, faculty, and staff personnel. At that time, the nasopharyngeal (NP) swab, not saliva, was the main accepted sample type for COVID-19 testing. However, due to collection discomfort and the inability to be self-collected, the NP swab was not feasible for voluntary and frequent self-collection. Therefore, saliva was selected as the clinical sample type and validated. A saliva collection kit and a sample processing and analysis workflow were developed. The results of a clinical sample-type comparison study between co-collected and matched NP swabs and saliva samples showed 96.7% positive agreement and 100% negative agreement. During the Fall 2020 and Spring 2021 semesters, 319,988 samples were collected and tested. The program resulted in maintaining a low overall mean positivity rate of 0.78% and 0.54% for the Fall 2020 and Spring 2021 semesters, respectively. For this high-throughput asymptomatic COVID-19 screening application, saliva was an exceptionally good sample type.

Comparative analysis of breast and lung cancer survival rates and clinical trial enrollments among rural and urban patients in Georgia.

Objectives: Rural patients have poor cancer outcomes and clinical trial (CT) enrollment compared to urban patients due to attitudinal, awareness, and healthcare access differential. Knowledge of cancer survival disparities and CT enrollment is important for designing interventions and innovative approaches to address the stated barriers. The study explores the potential disparities in cancer survival rates and clinical trial enrollments in rural and urban breast and lung cancer patients. Our hypotheses are that for both cancer types, urban cancer patients will have longer 5-year survival rates and higher enrollment rates in clinical trials than those in rural counties. Methods: We compared breast and lung cancer patients' survival rates and enrollment ratios in clinical trials between rural (RUCC 4-9) and urban counties in Georgia at a Comprehensive Cancer Center (CCC). To assess these differences, we carried out a series of independent samples t-tests and Chi-Square tests. Results: The outcomes indicate comparable 5-year survival rates across rural and urban counties for breast and lung cancer patients, failing to substantiate our hypothesis. While clinical trial enrollment rates demonstrated a significant difference between breast and lung cancer patients at CCC, no significant variation was observed based on rural or urban classification. Conclusion: These findings underscore the need for further research into the representation of rural patients with diverse cancer types at CCC and other cancer centers. Further, the findings have considerable implications for the initiation of positive social change to improve CT participation and reduce cancer survival disparities.

Serum 25-hydroxyvitamin D levels and health outcomes of hospitalization owing to COVID-19: a retrospective cross-sectional study.

OBJECTIVE: We investigated the role of serum 25(OH)D (25-hydroxyvitamin D) in COVID-related health outcomes. METHODS: We conducted a retrospective cross-sectional study using data of the National Center of Disease Control and Public Health, Georgia. We extracted patient data including length of hospital stay, transfer to the intensive care unit, requirement for oxygen therapy, treatment with glucocorticoids, and symptoms. After obtaining written informed consent, 384 individuals were enrolled. We divided participants into three groups according to 25(OH)D levels: group 1 = 25(OH)D <12 ng/mL (n = 83), group 2 = 25(OH)D 12-20 ng/mL (n = 141), and group 3 = 25(OH)D >20 ng/mL (n = 160). RESULTS: The odds ratio (OR) for hospitalization in group 1 versus group 2 was 8.7 (95% confidence interval [CI] 3.6-21.3) and 5.6 for group 1 versus 3 (95% CI 2.7-11.9). Regarding oxygen therapy, OR = 28.41 for group 1 versus 2 (95% CI 3.7-220.5) and OR = 5.2 for group 1 versus 3 (95% CI 1.9-14.1). Regarding treatment with glucocorticoids, OR = 3.7 for group 1 versus 2 (95% CI 1.1-12.5) and OR = 8.4 for group 1 versus 3 (95% CI 1.8-40.7). CONCLUSION: COVID-19-related morbidity was associated with decreased serum 25(OH)D levels. Future studies should investigate the potential role of vitamin D sufficiency in preventing SARS-CoV-2 infection and mortality.

Associations between exposure to extreme ambient heat and neural tube defects in Georgia, USA: A population-based case-control study.

INTRODUCTION: The association between extreme ambient heat exposures during pregnancy and neural tube defects (NTDs) in offspring remains unclear. This study sought to estimate the association between exposure to extreme ambient heat during periconception and NTDs. METHODS: This population-based case-control study in Georgia, USA (1994-2017) included 825 isolated NTD cases (473 anencephaly, 352 spina bifida) and 3,300 controls matched 1:4 on county of residence and time period of delivery. Daily ambient temperature data were linked to fetal death and birth records by county of residence. Extreme ambient heat exposure was defined as the number of consecutive days the daily apparent temperature exceeded the county-specific 95th percentile (derived over 1980-2010) during an eight-week periconception period. We calculated adjusted odds ratios (aORs) and 95% confidence intervals (CI) using conditional logistic regression models adjusted for maternal age, education, and ethnicity and month and year of last menstrual period. RESULTS: The aORs for NTDs were 1.09 (95% CI 1.01, 1.17), 1.18 (95% CI 1.03, 1.36), and 1.29 (95% CI 1.04, 1.58) for exposure to 1-2, 3-5, and 6 or more consecutive days with apparent ambient temperatures exceeding the county-specific 95th percentile during periconception, respectively, compared to no days of extreme ambient heat exposure. Weekly analysis of extreme heat exposure indicated consistently elevated odds of offspring NTDs during periconception. These results were largely driven by spina bifida cases. CONCLUSIONS: Our results highlight potential health threats posed by increasing global average temperatures for pregnant people with implications for increased risk of neural tube defects in their offspring.

Multidimensional structural racism and estimated cancer risk from traffic-related air pollution.

BACKGROUND: Traffic-related air pollutants have been associated with a variety of adverse human health impacts, including cancers. In the United States, numerous studies have documented racial inequities in neighborhood exposures to traffic-related air pollution. Emerging evidence suggests that structural racism may influence neighborhood exposures to air pollutants. However, existing research has largely focused on residential racial segregation, one indicator of structural racism. This study developed a multidimensional measure of structural racism to examine the relationship between structural racism and estimated cancer risk from air pollutants in Georgia. METHODS: Carcinogenic air toxics data were obtained from the US Environmental Protection Agency's 2019 Air Toxics Screening Assessment and sociodemographic data from the American Community Survey. Guided by stakeholder input, county-level data on residential segregation, education, employment, incarceration, economic status, political participation, and homeownership were used to create a multidimensional county-level structural racism index. Relative risks (RRs) were estimated for associations between structural racism and elevated (top 10% in Georgia) estimated cancer risk from air toxics. RESULTS: Multilevel analyses revealed a significant association between multidimensional structural racism and exposure to carcinogenic traffic-related air pollutants. Neighborhoods in the highest quartile of structural racism exhibited an elevated cancer risk from traffic-related air pollutants (RR, 7.84; 95% CI, 5.11-12.05) compared to neighborhoods with lower levels of structural racism. CONCLUSIONS: Multidimensional structural racism was associated with estimated cancer risk from traffic-related air pollution in Georgia. Findings can inform future studies and policy interventions that address racial inequalities in exposure to traffic-related air pollution.

Advancing Health Equity: A Collaborative Framework to Address HIV Disparities in Georgia and Louisiana through Data, Education, and Policy Initiatives.

The United States grapples with over 30,000 new HIV infections annually, a challenge exacerbated by delayed diagnosis and treatment. HIV stigma hinders data collection and contributes to health disparities. High-quality data and a community-driven approach are critical to reducing these disparities. The collaborative effort of the Satcher Health Leadership Institute at Morehouse School of Medicine, and the Center for Minority Health and Health Disparities Research and Education at Xavier University of Louisiana, addresses systemic barriers perpetuating the HIV epidemic in Georgia and Louisiana. We influence policy, implement an HIV education curriculum, map resources, and display data via the Health Equity Tracker. Stigma surrounding HIV/AIDS impedes disclosure, creates data gaps, and affects care quality and access. Addressing these data gaps, influencing policy, and implementing education are crucial steps to improving outcomes for Black people living with HIV/AIDS. This framework aligns with the federal Ending the HIV Epidemic program's goals, advancing health equity for vulnerable populations.

Spatio-temporal analysis of COVID-19 lockdown effect to survive in the US counties using ANN.

This study aims to quantify the effectiveness of lockdown as a non-pharmacological solution for managing the COVID-19 pandemic. Daily COVID-19 death counts were collected for four states: California, Georgia, New Jersey, and South Carolina. The effectiveness of the lockdown was studied and the number of people saved during 7 days was evaluated. Five neural network models (MLP, FFNN, CFNN, ENN, and NARX) were implemented, and the results indicate that FFNN is the best prediction model. Based on this model, the total number of survivors over a 7-day period is 211, 270, 989, and 60 in California, Georgia, New Jersey, and South Carolina, respectively. The coefficients and weights of the FFNN for each state differ due to various factors, including socio-demographic conditions and the behavior of citizens towards lockdown laws. New Jersey and South Carolina have the most lockdowns and the least.

A Marginalized Zero-Inflated Negative Binomial Model for Spatial Data: Modeling COVID-19 Deaths in Georgia.

Spatial count data with an abundance of zeros arise commonly in disease mapping studies. Typically, these data are analyzed using zero-inflated models, which comprise a mixture of a point mass at zero and an ordinary count distribution, such as the Poisson or negative binomial. However, due to their mixture representation, conventional zero-inflated models are challenging to explain in practice because the parameter estimates have conditional latent-class interpretations. As an alternative, several authors have proposed marginalized zero-inflated models that simultaneously model the excess zeros and the marginal mean, leading to a parameterization that more closely aligns with ordinary count models. Motivated by a study examining predictors of COVID-19 death rates, we develop a spatiotemporal marginalized zero-inflated negative binomial model that directly models the marginal mean, thus extending marginalized zero-inflated models to the spatial setting. To capture the spatiotemporal heterogeneity in the data, we introduce region-level covariates, smooth temporal effects, and spatially correlated random effects to model both the excess zeros and the marginal mean. For estimation, we adopt a Bayesian approach that combines full-conditional Gibbs sampling and Metropolis-Hastings steps. We investigate features of the model and use the model to identify key predictors of COVID-19 deaths in the US state of Georgia during the 2021 calendar year.

Ending the HIV Epidemic in Metropolitan Atlanta: a mixed-methods study to support the local HIV/AIDS response.

INTRODUCTION: Four counties within the Atlanta, Georgia 20-county eligible metropolitan area (EMA) are currently prioritized by the US "Ending the HIV Epidemic" (EHE) initiative which aims for a 90% reduction in HIV incidence by 2030. Disparities driving Atlanta's HIV epidemic warrant an examination of local service availability, unmet needs and organizational capacity to reach EHE targets. We conducted a mixed-methods evaluation of the Atlanta EMA to examine geographic HIV epidemiology and distribution of services, service needs and organization infrastructure for each pillar of the EHE initiative. METHODS: We collected 2021 county-level data (during June 2022), from multiple sources including: AIDSVu (HIV prevalence and new diagnoses), the Centers for Disease Control and Prevention web-based tools (HIV testing and pre-exposure prophylaxis [PrEP] locations) and the Georgia Department of Public Health (HIV testing, PrEP screenings, viral suppression and partner service interviews). We additionally distributed an online survey to key local stakeholders working at major HIV care agencies across the EMA to assess the availability of services, unmet needs and organization infrastructure (June-December 2022). The Organizational Readiness for Implementing Change questionnaire assessed the organization climate for services in need of scale-up or implementation. RESULTS: We found racial/ethnic and geographic disparities in HIV disease burden and service availability across the EMA-particularly for HIV testing and PrEP in the EMA's southern counties. Five counties not currently prioritized by EHE (Clayton, Douglas, Henry, Newton and Rockdale) accounted for 16% of the EMA's new diagnoses, but <9% of its 177 testing sites and <7% of its 130 PrEP sites. Survey respondents (N = 48; 42% health agency managers/directors) reported high unmet need for HIV self-testing kits, mobile clinic testing, HIV case management, peer outreach and navigation, integrated care, housing support and transportation services. Respondents highlighted insufficient existing staffing and infrastructure to facilitate the necessary expansion of services, and the need to reduce inequities and address intersectional stigma. CONCLUSIONS: Service delivery across all EHE pillars must substantially expand to reach national goals and address HIV disparities in metro Atlanta. High-resolution geographic data on HIV epidemiology and service delivery with community input can provide targeted guidance to support local EHE efforts.

Emergency department 30-Day emergency department revisits among people with sickle cell disease: Variations in characteristics.

People with sickle cell disease (SCD) often have emergency department (ED) revisits. The characteristics of people with SCD with ED revisits were assessed in this study using Medicaid administrative claims data from California and Georgia, representing 2794 and 3641 individuals with SCD, respectively. In both states, those with 6+ primary care provider (PCP) encounters had the highest percentage of ED revisits. In California, those with 6+ hematology encounters had the lowest percentage of individuals with an ED revisit; in Georgia, those with 1-2 hematology encounters. Increasing access to hematologic care may reduce ED revisits among people with SCD.

Pregnancy-related maternal mortality in the state of Georgia: Timing and causes of death.

BACKGROUND: The maternal mortality rate in the United States is high and disparities among non-Hispanic White and non-Hispanic Black women remain. In the State of Georgia, the pregnancy-related death rate is among the worst in the nation. OBJECTIVE: To examine current pregnancy-related deaths in the State of Georgia using measures of timing and cause-specific mortality across maternal sociodemographic characteristics. DESIGN: This cross-sectional study of pregnancy-related deaths in Georgia was based on 2016-2019 maternal mortality data obtained from the Georgia Department of Public Health. METHODS: Our study analysis involved complete-case data of maternal deaths identified as pregnancy-related deaths (n = 129). Statistical analyses included two distinct population-level measures: (a) timing (i.e. during pregnancy, 0 to 60 days, 61 to 180 days, and 181 to 365 days postpartum) and (b) cause-specific deaths patterned by sociodemographic groups of women and by rural and urban county of residence. Categorical variables were compared using the Chi square or Fisher's exact test and presented as numbers and percentages. A post hoc power analysis was conducted to inform whether there was sufficient power to detect statistically significant effects given available sample sizes. RESULTS: Among a total of 129 pregnancy-related deaths, 30 (23.3%) deaths occurred during pregnancy and 63 (48.8%) deaths occurred within the first 60 days postpartum. Pregnancy-related deaths were disproportionally common among non-Hispanic Black, 25 to 34 years old, and poorly educated women. Three leading underlying causes, cardiomyopathy (22.7%), hemorrhage (21.6%), and cardiovascular or coronary disease (20.4%), accounted for about 65% of all pregnancy-related deaths. Mental health conditions were common causes of death among non-Hispanic White women during pregnancy and in late postpartum. CONCLUSION: Continued monitoring, collecting and analyzing reliable data will help identify root causes and find ways to eliminate the disproportionate burden of pregnancy-related deaths in the State of Georgia.

Estimating the potential value of MSM-focused evidence-based implementation interventions in three Ending the HIV Epidemic jurisdictions in the United States: a model-based analysis.

INTRODUCTION: Improving the delivery of existing evidence-based interventions to prevent and diagnose HIV is key to Ending the HIV Epidemic in the United States. Structural barriers in the access and delivery of related health services require municipal or state-level policy changes; however, suboptimal implementation can be addressed directly through interventions designed to improve the reach, effectiveness, adoption or maintenance of available interventions. Our objective was to estimate the cost-effectiveness and potential epidemiological impact of six real-world implementation interventions designed to address these barriers and increase the scale of delivery of interventions for HIV testing and pre-exposure prophylaxis (PrEP) in three US metropolitan areas. METHODS: We used a dynamic HIV transmission model calibrated to replicate HIV microepidemics in Atlanta, Los Angeles (LA) and Miami. We identified six implementation interventions designed to improve HIV testing uptake ("Academic detailing for HIV testing," "CyBER/testing," "All About Me") and PrEP uptake/persistence ("Project SLIP," "PrEPmate," "PrEP patient navigation"). Our comparator scenario reflected a scale-up of interventions with no additional efforts to mitigate implementation and structural barriers. We accounted for potential heterogeneity in population-level effectiveness across jurisdictions. We sustained implementation interventions over a 10-year period and evaluated HIV acquisitions averted, costs, quality-adjusted life years and incremental cost-effectiveness ratios over a 20-year time horizon (2023-2042). RESULTS: Across jurisdictions, implementation interventions to improve the scale of HIV testing were most cost-effective in Atlanta and LA (CyBER/testing cost-saving and All About Me cost-effective), while interventions for PrEP were most cost-effective in Miami (two of three were cost-saving). We estimated that the most impactful HIV testing intervention, CyBER/testing, was projected to avert 111 (95% credible interval: 110-111), 230 (228-233) and 101 (101-103) acquisitions over 20 years in Atlanta, LA and Miami, respectively. The most impactful implementation intervention to improve PrEP engagement, PrEPmate, averted an estimated 936 (929-943), 860 (853-867) and 2152 (2127-2178) acquisitions over 20 years, in Atlanta, LA and Miami, respectively. CONCLUSIONS: Our results highlight the potential impact of interventions to enhance the implementation of existing evidence-based interventions for the prevention and diagnosis of HIV.

Neighborhood Deprivation and Breast Cancer Mortality Among Black and White Women.

Importance: Neighborhood deprivation has been associated with increased breast cancer mortality among White women, but findings are inconsistent among Black women, who experience different neighborhood contexts. Accounting for interactions among neighborhood deprivation, race, and other neighborhood characteristics may enhance understanding of the association. Objective: To investigate whether neighborhood deprivation is associated with breast cancer mortality among Black and White women and whether interactions with rurality, residential mobility, and racial composition, which are markers of access, social cohesion, and segregation, respectively, modify the association. Design, Setting, and Participants: This population-based cohort study used Georgia Cancer Registry (GCR) data on women with breast cancer diagnosed in 2010 to 2017 and followed-up until December 31, 2022. Data were analyzed between January 2023 and October 2023. The study included non-Hispanic Black and White women with invasive early-stage (I-IIIA) breast cancer diagnosed between 2010 and 2017 and identified through the GCR. Exposures: The Neighborhood Deprivation Index (NDI), assessed in quintiles, was derived through principal component analysis of 2011 to 2015 block group-level American Community Survey (ACS) data. Rurality, neighborhood residential mobility, and racial composition were measured using Georgia Public Health Department or ACS data. Main Outcomes and Measures: The primary outcome was breast cancer-specific mortality identified by the GCR through linkage to the Georgia vital statistics registry and National Death Index. Cox proportional hazards regression was used to estimate age-adjusted and multivariable-adjusted hazard ratios (HRs) and 95% CIs for the association between neighborhood deprivation and breast cancer mortality. Results: Among the 36 795 patients with breast cancer (mean [SD] age at diagnosis, 60.3 [13.1] years), 11 044 (30.0%) were non-Hispanic Black, and 25 751 (70.0%) were non-Hispanic White. During follow-up, 2942 breast cancer deaths occurred (1214 [41.3%] non-Hispanic Black women; 1728 [58.7%] non-Hispanic White women). NDI was associated with an increase in breast cancer mortality (quintile 5 vs 1, HR, 1.36; 95% CI, 1.19-1.55) in Cox proportional hazards models. The association was present only among non-Hispanic White women (quintile 5 vs 1, HR, 1.47; 95% CI, 1.21-1.79). Similar race-specific patterns were observed in jointly stratified analyses, such that NDI was associated with increased breast cancer mortality among non-Hispanic White women, but not non-Hispanic Black women, irrespective of the additional neighborhood characteristics considered. Conclusions and Relevance: In this cohort study, neighborhood deprivation was associated with increased breast cancer mortality among non-Hispanic White women. Neighborhood racial composition, residential mobility, and rurality did not explain the lack of association among non-Hispanic Black women, suggesting that factors beyond those explored here may contribute to breast cancer mortality in this racial group.

Incidence of Sexually Transmitted Infections in Youth with HIV During Pre-COVID and COVID Era.

Adolescents and young adults (AYAs) living with HIV have high rates of co-sexually transmitted infections (STIs). During the coronavirus disease (COVID) pandemic, STI prevention strategies, including access to testing/treatment facilities, availability of health care workers, and condom availability, may have decreased. This study aimed to determine if differences in STI incidence for first infection and reinfection existed between the pre-COVID and COVID eras in a cohort of AYAs living with HIV in Atlanta, GA. Retrospective chart review was conducted for all patients between ages 13 and 24 at the Grady Ponce Clinic. Two eras were identified: a pre-COVID era (January 1, 2009-December31, 2019) and a COVID era (January 1, 2020-June 30, 2021). STIs recorded included gonorrhea, chlamydia, human papillomavirus, syphilis, trichomonas, herpes simplex virus, lymphogranuloma venereum, hepatitis C, bacterial vaginosis, and chancroid. First and recurrent incidence rates for any STIs were reported. Our sample included 766 sexually active AYAs with HIV. A total of 721 patients were included in the pre-COVID era and 583 (80.9%) had at least one STI. A total of 337 patients were included in the COVID era, and 158 had at least one STI (46.9%). The overall first STI incidence rate increased from 42.47 to 58.67 per 100 person-years (PY) and the recurrent STI incidence rate increased from 121.50 to 169.85 per 100 PY from the pre-COVID to the COVID era (p < 0.001). Our study demonstrated significantly higher incidence rates of first and recurrent STIs in AYAs living with HIV in the COVID era. We urge continuation of existing STI prevention programs to avoid secondary clinical and economic adverse effects of increased infections.

Stroke Prevention and Management in Rural Georgia: Evaluating the Effectiveness of a Community Paramedicine Program.

CONTEXT: Stroke remains a major public health concern in the state of Georgia with high mortality, disproportionately affecting rural and socioeconomically disadvantaged communities. Georgia's age-standardized stroke death rate is 10.8% higher than the national average, and related comorbidities remain elevated in adult Georgians, contributing to higher stroke prevalence. PROGRAM: The Georgia Department of Public Health piloted a Community Paramedicine (CP) program in 2 rural counties to improve stroke management, readmissions, and mortality. Various supportive interventions to address barriers to chronic disease management were provided by a local emergency medical service agency for 90 days. This study aims to evaluate the effectiveness of the CP care delivery model in improving stroke outcomes among high-risk individuals. IMPLEMENTATION: CP leverages emergency medical service infrastructure to provide community health services such as home visits, telemedicine, care coordination, education, and access to social support services. The Georgia Hospital Discharge data and Georgia death records were used to measure stroke rehospitalization and deaths at 30, 60, and 90 days post-discharge for stroke. We compared the health outcomes of high-risk individuals who participated in the CP program to those who did not. EVALUATION: Multivariable analysis suggested a reduction in stroke mortality rates among the intervention groups in both counties. DISCUSSION: The CP program demonstrated effectiveness in assisting patients with managing risk factors through medication adherence for conditions such as hypertension, hypercholesterolemia, and diabetes.

Dynamic contact networks of residents of an urban jail in the era of SARS-CoV-2.

BACKGROUND: In custodial settings such as jails and prisons, infectious disease transmission is heightened by factors such as overcrowding and limited healthcare access. Specific features of social contact networks within these settings have not been sufficiently characterized, especially in the context of a large-scale respiratory infectious disease outbreak. The study aims to quantify contact network dynamics within the Fulton County Jail in Atlanta, Georgia. METHODS: Jail roster data were utilized to construct social contact networks. Rosters included resident details, cell locations, and demographic information. This analysis involved 6702 male residents over 140,901 person days. Network statistics, including degree, mixing, and dissolution (movement within and out of the jail) rates, were assessed. We compared outcomes for two distinct periods (January 2022 and April 2022) to understand potential responses in network structures during and after the SARS-CoV-2 Omicron variant peak. RESULTS: We found high cross-sectional network degree at both cell and block levels. While mean degree increased with age, older residents exhibited lower degree during the Omicron peak. Block-level networks demonstrated higher mean degrees than cell-level networks. Cumulative degree distributions increased from January to April, indicating heightened contacts after the outbreak. Assortative age mixing was strong, especially for younger residents. Dynamic network statistics illustrated increased degrees over time, emphasizing the potential for disease spread. CONCLUSIONS: Despite some reduction in network characteristics during the Omicron peak, the contact networks within the Fulton County Jail presented ideal conditions for infectious disease transmission. Age-specific mixing patterns suggested unintentional age segregation, potentially limiting disease spread to older residents. This study underscores the necessity for ongoing monitoring of contact networks in carceral settings and provides valuable insights for epidemic modeling and intervention strategies, including quarantine, depopulation, and vaccination, laying a foundation for understanding disease dynamics in such environments.Top of Form.

Assessing structural models of neighborhood and family sociodemographic characteristics and their relations with externalizing psychopathology.

Externalizing psychopathology has been found to have small to moderate associations with neighborhood and family sociodemographic characteristics. However, prior studies may have used suboptimal operationalizations of neighborhood sociodemographic characteristics and externalizing psychopathology, potentially misestimating relations between these constructs. To address these limitations, in the current study we test different measurement models of these constructs and assess the structural relations between them. Using a population-representative sample of 2,195 twins and siblings from the Georgia Twin Study and data from the National Neighborhood Data Archive and 2000 U.S. Census, we assessed the fit of competing measurement models for family sociodemographic, neighborhood sociodemographic, and neighborhood environment characteristics. In structural models, we regressed a general externalizing dimension on different operationalizations of these variables separately and then simultaneously in a final model. Latent variable operationalizations of family sociodemographic, neighborhood sociodemographic, and neighborhood environment characteristics explained no more variance in broad externalizing psychopathology than other operationalizations. In an omnibus model, family sociodemographic characteristics showed a small association with externalizing psychopathology, while neighborhood sociodemographic and environmental characteristics did not. Family sociodemographic characteristics showed small associations with neighborhood sociodemographic and environmental characteristics, and neighborhood sociodemographic characteristics were moderately associated with neighborhood environment. These findings suggest that family sociodemographic characteristics are more associated with the development of broad externalizing psychopathology in youth than neighborhood sociodemographic characteristics and neighborhood environment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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.

Prenatal exposure to per- and polyfluoroalkyl substances (PFAS) and associations with hypertensive disorders of pregnancy in the Atlanta African American Maternal-Child cohort.

BACKGROUND: Per- and polyfluoroalkyl substances (PFAS) are man-made chemicals that are slow to break down in the environment and widely detected in humans. Epidemiological evidence suggests that prenatal exposure to perfluorooctanoic acid (PFOA), a legacy PFAS, is linked to gestational hypertension and preeclampsia. However, the relationship between other PFAS, which are structurally similar, and these outcomes remains largely understudied, despite biologic plausibility. Here, we examined associations between serum PFAS mixtures in relation to hypertensive disorders of pregnancy within a birth cohort of African Americans. METHODS: Participants in the present study were enrolled in the Atlanta African American Maternal-Child cohort between 2014 and 2020 (n = 513). Serum samples collected between 8 and 14 weeks gestation were analyzed for four PFAS. Logistic regression was used to assess associations between individual natural log transformed PFAS and specific hypertensive disorders of pregnancy (preeclampsia, gestational hypertension), while quantile g-computation was used to estimate mixture effects. Preeclampsia and gestational hypertension were treated as separate outcomes in individual models. All models were adjusted for maternal education, maternal age, early pregnancy body mass index, parity, and any alcohol, tobacco, or marijuana use. RESULTS: The geometric mean of PFOS and PFHxS was slightly lower among those with preeclampsia relative to those without a hypertensive disorder (e.g., geometric mean for PFOS was 1.89 and 1.94, respectively). Serum concentrations of PFAS were not strongly associated with gestational hypertension or preeclampsia in single pollutant or mixture models. For example, using quantile g-computation, a simultaneous one quartile increase in all PFAS was not associated with odds of gestational hypertension (odds ratio = 0.86, 95% CI = 0.60, 1.23), relative to those without a hypertensive disorder of pregnancy. CONCLUSIONS: In this birth cohort of African Americans, there was no association between serum PFAS measured in early pregnancy and hypertensive disorders of pregnancy, which may be reflective of the fairly low PFAS levels in our study population.