Development and validation of the mpox stigma scale (MSS) and mpox knowledge scale (MKS).

BACKGROUND: Few validated brief scales are available to measure constructs that may hinder mpox-related prevention and care engagement, such as knowledge and stigma. Both are highly salient barriers to infectious disease care and disease understanding, precursors to evaluating one's risk and need to, for example, accept vaccination. To address this gap, we developed and validated the Mpox Stigma Scale (MSS) and Mpox Knowledge Scale (MKS). METHODS: As part of a full-scale clinical trial, we offered an optional mpox survey to participants who self-identified as African American or Black, were 18-29 years old, and lived in Alabama, Georgia, or North Carolina (2023, N = 330). We calculated psychometric properties through confirmatory factor analyses (CFA) and applied Comparative Fit Index (CFI), Goodness of Fit Index (GFI), and Tucker-Lewis Index (TLI) values equal to or exceeding 0.90 and Root Mean Square Error of Approximation (RMSEA) and Standardized Root Mean Square Residual (SRMR) values less than 0.08 to determine adequate model fit. We computed internal reliability using Cronbach's alpha and calculated Pearson or Spearman correlation coefficients between the MSS and MKS and related variables. RESULTS: For the MSS, CFA results showed that the one-factor model fit the data well (χ2(df = 5, N = 330) = 34.962, CFI = 0.97, GFI = 0.99, TLI = 0.94, RMSEA = 0.13, SRMR = 0.03). For the MKS, the one-factor model provided a good fit to the data (χ2(df = 6, N = 330) = 8.44, CFI = 0.99, GFI = 0.99, TLI = 0.95, RMSEA = 0.15, SRMR = 0.02). Cronbach's alphas were MSS = 0.91 and MKS = 0.83, suggesting good to excellent reliability. The MSS was correlated with the MKS (r = .55, p < .001), stigmatizing attitudes (r = .24, p < .001), attitudes towards mpox vaccination (r=-.12, p = .030), and worry about contracting mpox (r = .44, p < .001). The MKS was correlated with worry about contracting mpox (r = .30, p < .001) and mpox disclosure (r=-.16, p = .003). CONCLUSIONS: The MSS and MKS are reliable and valid tools for public health practice, treatment and prevention research, and behavioral science. Further validation is warranted across populations and geographic locations. TRIAL REGISTRATION: ClinicalTrials.gov NCT05490329.

Lyme Disease Under-Ascertainment During the COVID-19 Pandemic in the United States: Retrospective Study.

Background: The COVID-19 pandemic resulted in a massive disruption in access to care and thus passive, hospital- and clinic-based surveillance programs. In 2020, the reported cases of Lyme disease were the lowest both across the United States and North Carolina in recent years. During this period, human contact patterns began to shift with higher rates of greenspace utilization and outdoor activities, putting more people into contact with potential vectors and associated vector-borne diseases. Lyme disease reporting relies on passive surveillance systems, which were likely disrupted by changes in health care-seeking behavior during the pandemic. Objective: This study aimed to quantify the likely under-ascertainment of cases of Lyme disease during the COVID-19 pandemic in the United States and North Carolina. Methods: We fitted publicly available, reported Lyme disease cases for both the United States and North Carolina prior to the year 2020 to predict the number of anticipated Lyme disease cases in the absence of the pandemic using a Bayesian modeling approach. We then compared the ratio of reported cases divided by the predicted cases to quantify the number of likely under-ascertained cases. We then fitted geospatial models to further quantify the spatial distribution of the likely under-ascertained cases and characterize spatial dynamics at local scales. Results: Reported cases of Lyme Disease were lower in 2020 in both the United States and North Carolina than prior years. Our findings suggest that roughly 14,200 cases may have gone undetected given historical trends prior to the pandemic. Furthermore, we estimate that only 40% to 80% of Lyme diseases cases were detected in North Carolina between August 2020 and February 2021, the peak months of the COVID-19 pandemic in both the United States and North Carolina, with prior ascertainment rates returning to normal levels after this period. Our models suggest both strong temporal effects with higher numbers of cases reported in the summer months as well as strong geographic effects. Conclusions: Ascertainment rates of Lyme disease were highly variable during the pandemic period both at national and subnational scales. Our findings suggest that there may have been a substantial number of unreported Lyme disease cases despite an apparent increase in greenspace utilization. The use of counterfactual modeling using spatial and historical trends can provide insight into the likely numbers of missed cases. Variable ascertainment of cases has implications for passive surveillance programs, especially in the trending of disease morbidity and outbreak detection, suggesting that other methods may be appropriate for outbreak detection during disturbances to these passive surveillance systems.

Modeling the Effects of Policies that Restrict Tobacco Retail Outlets on Prenatal Smoke Exposure and Perinatal Health Care Utilization.

Tobacco retail outlet (TRO) density has been associated with increased cotinine levels in pregnant persons and their children. As such, the higher densities of TROs may represent higher levels of active smoking during pregnancy. The purpose of this study is to simulate the reduction in cotinine (a biomarker of smoke exposure) and health care utilization that could occur in pregnant persons under enactment of several candidate TRO reduction policy recommendations. Using existing retail outlet data from the state of North Carolina and from the Newborn Epigenetic Study (NEST), the present study created hypothetical policy-informed datasets of TROs that a) limited the number of TROs to the same density as the 2014 San Francisco (SF) policy (Policy 1), b) set the minimum distance to 500 feet between TROs from a school and from other TROs (Policy 2), c) restricted the types of TROs to exclude pharmacies (Policy 3), and d) a combination of Policies 1-3 (Policy 4). We estimated the effects of each policy individually and in a separate model with their combined effects in terms of the reduction on cotinine levels and health care utilization, as measured by number of visits to the emergency department (ED). We found that the hypothetical policies were likely to be effective in reducing maternal cotinine and ED visits, with the majority of the mothers in the dataset demonstrating reductions in these outcomes after implementation of the policies. We found that Policy 1 led to moderate reductions in TRO exposure for the majority of the sample as well as stratified by race/ethnicity. Additionally, Policy 4 had slightly larger estimated effects than Policy 1, but could be more onerous to implement in practice. Overall, we identified evidence supporting the efficacy of TRO reduction strategies that could impact smoke exposure during pregnancy in our diverse sample in North Carolina.

Rapid Increase in Seroprevalence of Borrelia burgdorferi Antibodies among Dogs, Northwestern North Carolina, USA, 2017-20211.

We evaluated spatial-temporal risk for Lyme disease in northwestern North Carolina, USA, by using individual-level canine Borrelia burgdorferi seroprevalence data collected during 2017-2021 at routine veterinary screenings for tickborne diseases. Seroprevalence in dogs increased from 2.2% (47/2,130) in 2017 to 11.2% (339/3,033) in 2021. The percentage of incident seropositivity increased from 2.1% (45/2,130) in 2017 to 7.6% (231/3,033) in 2021. Exploratory geographic analyses found canine seroprevalence shifted from clustered (2017, Moran's I = 0.30) to dispersed (2021, Moran's I = -0.20). Elevation, slope, aspect, and forest land cover density were associated with canine seroprevalence within various household buffer regions in 2017. Slope was associated with seroprevalence at the household level in 2021. Results support the use of individual-level canine seroprevalence data for monitoring human risk for Lyme disease. Establishing sentinel veterinary clinics within Lyme disease-emergent communities might promote prevention and control efforts and provide opportunities for educational and behavioral interventions.

Trends and disparities in alcohol-DWI license suspensions by suspension duration, North Carolina, 2007-2016.

PURPOSE: To examine trends and potential disparities in North Carolina (NC) driving while impaired by alcohol (alcohol-DWI) license suspensions from 2007-2016. Specific objectives included: 1) examining personal (e.g., race/ethnicity) and contextual (e.g., residential segregation) characteristics of alcohol-DWI license suspensions by suspension duration; and 2) examining trends in annual suspension rates by race/ethnicity, sex, and duration. METHODS: We linked NC administrative licensing and county-level survey data from several sources from 2007-2016. Suspensions were categorized by duration: 1 to <4 years and 4 years or longer (proxies for initial and repeat suspensions, respectively). We calculated counts, percentages, and suspensions rates (per 1,000 person-years) with 95% confidence intervals, examined trends in annual suspension rates by race/ethnicity, sex, and suspension duration. RESULTS: We identified 220,471 initial and 41,526 repeat license suspensions. Rates among males were three times that of females. 21-24-year-old (rates: 6.9 per 1,000 person-years for initial; 1.5 for repeat) and Black (4.1 for initial; 1.0 for repeat) individuals had the highest suspension rates. We observed decreases in annual initial and repeat suspension rates among males, but only in repeat suspensions for females during the study period. A substantial decrease in annual initial suspension rates was observed among Hispanic individuals relative to other racial/ethnic groups, while annual repeat suspension rates exhibited large decreases for most racial/ethnic groups. The highest overall suspension rates occurred in counties with higher proportions of the population without health insurance and with the highest levels of Black/White residential segregation. CONCLUSIONS: Potential disparities by race/ethnicity and sex existed by alcohol-DWI license suspension duration (i.e., initial vs. repeat suspensions) in NC. Contextual characteristics associated with suspensions, including a high degree of residential segregation, may provide indications of underlying structures and mechanisms driving potential disparities in alcohol-DWI outcomes.

Medicaid Expansion and Mortality Among Persons Who Were Formerly Incarcerated.

Importance: Since 2014, Medicaid expansion has been implemented in many states across the US, increasing health care access among vulnerable populations, including formerly incarcerated people who experience higher mortality rates than the general population. Objective: To examine population-level association of Medicaid expansion with postrelease mortality from all causes, unintentional drug overdoses, opioid overdoses, polydrug overdoses, suicides, and homicides among formerly incarcerated people in Rhode Island (RI), which expanded Medicaid, compared with North Carolina (NC), which did not expand Medicaid during the study period. Design, Setting, and Participants: A cohort study was conducted using incarceration release data from January 1, 2009, to December 31, 2018, linked to death records from January 1, 2009, to December 31, 2019, on individuals released from incarceration in RI and NC. Data analysis was performed from August 20, 2022, to February 15, 2024. Participants included those aged 18 years or older who were released from incarceration. Individuals who were temporarily held during ongoing judicial proceedings, died during incarceration, or not released from incarceration during the study period were excluded. Exposure: Full Medicaid expansion in RI effective January 1, 2014. Main Outcomes and Measures: Mortality from all causes, unintentional drug overdoses, unintentional opioid and polydrug overdoses, suicides, and homicides. Results: Between 2009 and 2018, 17 824 individuals were released from RI prisons (mean [SD] age, 38.39 [10.85] years; 31 512 [89.1%] male) and 160 861 were released from NC prisons (mean [SD] age, 38.28 [10.84] years; 209 021 [87.5%] male). Compared with NC, people who were formerly incarcerated in RI experienced a sustained decrease of 72 per 100 000 person-years (95% CI, -108 to -36 per 100 000 person-years) in all-cause mortality per quarter after Medicaid expansion. Similar decreases were observed in RI in drug overdose deaths (-172 per 100 000 person-years per 6 months; 95% CI, -226 to -117 per 100 000 person-years), including opioid and polydrug overdoses, and homicide deaths (-23 per 100 000 person-years per year; 95% CI, -50 to 4 per 100 000 person-years) after Medicaid expansion. Suicide mortality did not change after Medicaid expansion. After Medicaid expansion in RI, non-Hispanic White individuals experienced 3 times greater sustained decreases in all-cause mortality than all racially minoritized individuals combined, while non-Hispanic Black individuals did not experience any substantial benefits. There was no modification by sex. Individuals aged 30 years or older experienced greater all-cause mortality reduction after Medicaid expansion than those younger than 30 years. Conclusions and Relevance: Medicaid expansion in RI was associated with a decrease in all-cause, overdose, and homicide mortality among formerly incarcerated people. However, these decreases were most observed among White individuals, while racially minoritized individuals received little to no benefits in the studied outcomes.

Perceptions of HIV self-testing promotion in black barbershop businesses: implications for equitable engagement of black-owned small businesses for public health programs.

BACKGROUND: HIV self-testing (HIVST) offers an innovative and promising approach to increasing HIV testing among Black men in the United States, a population disproportionately affected by HIV. However, engaging Black men in traditional HIV prevention programs has been challenging due to stigma, medical mistrust, and limited access to preventive health services. This formative qualitative study aimed to explore the potential of utilizing barbershops as an example of a nontraditional healthcare venue to promote and distribute HIVST. METHODS: Four virtual focus group discussions (FGDs) consisting of 19 participants in North Carolina were conducted with Black men, including barbershop business owners, barbers, and their customers, to assess perceptions of HIVST and the acceptability of partnering with barbershop businesses to promote HIVST. FGDs were digitally recorded, transcribed, and analyzed using a deductive coding approach to thematic analysis. RESULTS: Participants reported that the trusting relationship between barbers and their customers, which may not exist between Black men and health care providers, is a facilitator of collaborating with barbershop businesses to reach Black men for HIVST distribution. Participants recommended providing education for barbers on the use of HIVST, as well as how to inform self-testers about linkage to care following HIVST to build the credibility of the barbers in delivering the intervention. Participants also raised the issue of the cost of HIVST to barbershop customers as a potential barrier to implementation, as well as the possibility that the implementation of such interventions could be seen as out of place in a barbershop business venue. Participants also expressed a strong belief that compensation to barbershops and their employees should accompany any intervention. CONCLUSION: These findings suggest that barbershop business venues may provide an appropriate venue for HIVST promotion and distribution, though factors like cost, training, and incentivization of implementers are necessary to consider in implementation planning. Furthermore, partnerships between public health actors and the business community must be built on equitable engagement to ensure the long-term viability of these critical initiatives.

Spatial Variability in Relationships between Early Childhood Lead Exposure and Standardized Test Scores in Fourth Grade North Carolina Public School Students (2013-2016).

BACKGROUND: Exposure to lead during childhood is detrimental to children's health. The extent to which the association between lead exposure and elementary school academic outcomes varies across geography is not known. OBJECTIVE: Estimate associations between blood lead levels (BLLs) and fourth grade standardized test scores in reading and mathematics in North Carolina using models that allow associations between BLL and test scores to vary spatially across communities. METHODS: We link geocoded, individual-level, standardized test score data for North Carolina public school students in fourth grade (2013-2016) with detailed birth records and blood lead testing data retrieved from the North Carolina childhood blood lead state registry on samples typically collected at 1-6 y of age. BLLs were categorized as: 1µg/dL (reference), 2µg/dL, 3-4µg/dL and ≥5µg/dL. We then fit spatially varying coefficient models that incorporate information sharing (smoothness), across neighboring communities via a Gaussian Markov random field to provide a global estimate of the association between BLL and test scores, as well as census tract-specific estimates (i.e., spatial coefficients). Models adjusted for maternal- and child-level covariates and were fit separately for reading and math. RESULTS: The average BLL across the 91,706 individuals in the analysis dataset was 2.84µg/dL. Individuals were distributed across 2,002 (out of 2,195) census tracts in North Carolina. In models adjusting for child sex, birth weight percentile for gestational age, and Medicaid participation as well as maternal race/ethnicity, educational attainment, marital status, and tobacco use, BLLs of 2µg/dL, 3-4µg/dL and ≥5µg/dL were associated with overall lower reading test scores of -0.28 [95% confidence interval (CI): -0.43, -0.12], -0.53 (-0.69, -0.38), and -0.79 (-0.99, -0.604), respectively. For BLLs of 1µg/dL, 2µg/dL, 3-4µg/dL and ≥5µg/dL, spatial coefficients-that is, tract-specific adjustments in reading test score relative to the "global" coefficient-ranged from -9.70 to 2.52, -3.19 to 3.90, -11.14 to 7.85, and -4.73 to 4.33, respectively. Results for mathematics were similar to those for reading. CONCLUSION: The association between lead exposure and reading and mathematics test scores exhibits considerable heterogeneity across North Carolina communities. These results emphasize the need for prevention and mitigation efforts with respect to lead exposures everywhere, with special attention to locations where the cognitive impact is elevated. https://doi.org/10.1289/EHP13898.

Provider Perspectives on Rapid Treatment Initiation Among People Newly Diagnosed With HIV: A New Message of "Urgency"?

BACKGROUND: Early initiation of antiretroviral therapy improves human immunodeficiency virus (HIV) outcomes. However, achieving earlier treatment initiation is challenging for many reasons including provider awareness and clinic barriers; this study sought to understand perceptions of an early initiation program. METHODS: We interviewed 10 providers from 3 HIV clinics in North Carolina (October-November 2020). We asked providers about overall perceptions of early initiation and the pilot program. We developed narrative summaries to understand individual contexts and conducted thematic analysis using NVivo. RESULTS: Providers believed earlier initiation would signal an "extra sense of urgency" about the importance of antiretroviral therapy-a message not currently reflected in standard of care. Safety was a consistent concern. Cited implementation barriers included transportation assistance, medication sustainability, and guidance to address increased staff time and appointment availability. CONCLUSION: Our qualitative findings highlight the need for training on the safety of early initiation and addressing staffing needs to accommodate quicker appointments.

Doctor and clinic staff perspectives on a program to immediately start HIV treatment among patients newly diagnosed with HIVTreating human immunodeficiency virus (HIV) is easier than ever. Starting newly diagnosed persons on HIV medication as soon as possible is a now recommended goal. However, starting patients right away can be challenging. This study interviewed doctors and clinic staff to better understand their perspectives prior to implementing a program that would provide newly diagnosed patients with HIV treatment immediately. Results showed that some doctors are worried patients will not return after receiving their medications. Providers want support for linking patients to the clinic and ensuring they will be able to receive their next dose of medication when they come in. Other providers saw the benefits of reducing HIV stigma if the program can more quickly start patients on treatment. Some providers explained that when you go to the doctor and are sick you receive medications immediately, yet for newly diagnosed patients living with HIV, patients can be told to come back a month later to start treatment. Some providers believe shifting this messaging may also help patients take their medications better. Most providers saw the need for clinics to have more same-day appointment availability to meet the needs of the new program. Overall, providers were excited about the opportunity to improve the HIV care by offering HIV medications to newly diagnosed patients immediately.

A produce prescription program for patients with low incomes in North Carolina resulted in increased produce purchases.

OBJECTIVES: To assess if participation in a North Carolina produce prescription program for Supplemental Nutrition Assistance Program (SNAP) participants with diet-sensitive health conditions (SuperSNAP) is associated with changes in purchase composition and spending source. METHODS: This study used loyalty-card transaction data (October 2019-April 2022). We applied a linear mixed-effects model with overlap weights to perform a difference-indifferences analysis of purchases by SuperSNAP program enrollees compared to the control group. RESULTS: The sample included 1440 SuperSNAP shoppers and 45,851 control shoppers. Compared to shoppers only on SNAP, SuperSNAP shoppers spent $82.98 (95% CI (75.6, 90.3), p-value <0.001) more per month, $76.09 (95% CI (69.4, 82.8), pvalue <0.001) of which were spent strictly on food and beverage products. Among SuperSNAP shoppers, out of the $40 SuperSNAP benefit each month, an estimated $34.86 (95% CI (33.9, 35.8), p-value <0.001) of it was spent on fruits and vegetables. CONCLUSIONS: This study shows the promise of targeted produce prescription programs for SNAP participants in encouraging shifts in purchase composition.

Catchment area and cancer population health research through a novel population-based statewide database: a scoping review.

BACKGROUND: Population-based linked datasets are vital to generate catchment area and population health research. The novel Cancer Information and Population Health Resource (CIPHR) links statewide cancer registry data, public and private insurance claims, and provider- and area-level data, representing more than 80% of North Carolina's large, diverse population of individuals diagnosed with cancer. This scoping review of articles that used CIPHR data characterizes the breadth of research generated and identifies further opportunities for population-based health research. METHODS: Articles published between January 2012 and August 2023 were categorized by cancer site and outcomes examined across the care continuum. Statistically significant associations between patient-, provider-, system-, and policy-level factors and outcomes were summarized. RESULTS: Among 51 articles, 42 reported results across 23 unique cancer sites and 13 aggregated across multiple sites. The most common outcomes examined were treatment initiation and/or adherence (n = 14), mortality or survival (n = 9), and health-care resource utilization (n = 9). Few articles focused on cancer recurrence (n = 1) or distance to care (n = 1) as outcomes. Many articles discussed racial, ethnic, geographic, and socioeconomic inequities in care. CONCLUSIONS: These findings demonstrate the value of robust, longitudinal, linked, population-based databases to facilitate catchment area and population health research aimed at elucidating cancer risk factors, outcomes, care delivery trends, and inequities that warrant intervention and policy attention. Lessons learned from years of analytics using CIPHR highlight opportunities to explore less frequently studied cancers and outcomes, motivate equity-focused interventions, and inform development of similar resources.

A Statewide Physician Champion Initiative to Prevent Diabetes: Lessons Learned from North Carolina.

The North Carolina Medical Society (NCMS) and American Medical Association (AMA) collaborated to support diabetes prevention efforts in North Carolina (NC) with a physician champion initiative focused on tracking and increasing referrals to the National Diabetes Prevention Program (DPP). Three focus areas to effectively engage and utilize physician champions included: (1) self-adoption within their practice, (2) engagement and outreach with other healthcare leaders, and (3) influence to peers and colleagues. Six NC physician champions were selected to support the work from January 2020 to January 2023. This resulted in increased outreach to physicians about Diabetes Free NC , increased materials/education for physicians on prediabetes identification and management, and 1943 referrals to the National DPP. This work can be further translated and applied to other states to aid prevention efforts. Physician champions' expertise coupled with adequate resources can allow them to play a key role in chronic disease prevention and management.

The geography of COVID-19 vaccine completion by age in North Carolina, U.S.

BACKGROUND: Geographic variation in COVID-19 vaccination can create areas at higher risk of infection, complications, and death, exacerbating health inequalities. This ecological study examined geographic patterns of COVID-19 vaccine completion, using age and sociodemographic characteristics as possible explanatory mechanisms. METHODS AND FINDINGS: Using 2020-2022 data from the North Carolina COVID-19 Vaccination Management System and U.S. Census Bureau American Community Survey, at the Zip code-level, we evaluated completion of the primary COVID-19 vaccine series across age groups. We examined geographic clustering of age-specific completion by Zip code and evaluated similarity of the age-specific geographic patterns. Using unadjusted and adjusted spatial autoregressive models, we examined associations between sociodemographic characteristics and age-specific vaccine completion. COVID-19 vaccine completion was moderately geographically clustered in younger groups, with lower clustering in older groups. Urban areas had clusters of higher vaccine completion. Younger and middle-aged groups were the most similar in completion geographically, while the oldest group was most dissimilar to other age groups. Higher income was associated with higher completion in adjusted models across all age groups, while a higher percent of Black residents was associated with higher completion for some groups. CONCLUSIONS: COVID-19 vaccination completion is more variable among younger age groups in North Carolina, and it is higher in urban areas with higher income. Higher completion in areas with more Black residents may reflect the success of racial equity efforts in the state. The findings show a need to reach younger populations and lower income areas that were not prioritized during early vaccination distribution.

Cancer information and population health resource: a resource for catchment area data and cancer outcomes research.

BACKGROUND: The University of North Carolina at Chapel Hill Lineberger Comprehensive Cancer Center has developed a novel data resource, the Cancer Information and Population Health Resource (CIPHR), for conducting catchment area evaluation and cancer population health research that links the North Carolina Central Cancer Registry (NCCCR) to medical and pharmacy claims data from Medicare, Medicaid, and private plans operating within North Carolina. This study's aim was to describe the CIPHR data and provide examples of potential cohorts available in those data. METHODS: We present the underlying populations included in the NCCCR and claims data before linkage and demonstrate estimated sample sizes when these data are linked and commonly used insurance enrollment criteria are applied. RESULTS: Data for the years 2003-2020 are present in CIPHR and include 947 977 cancer cases from the NCCCR and 21.6 million enrollees in public and private health insurance (cancer and noncancer cases). When limited to first or only cancers (n = 672 377), 86% could be linked to insurance enrollment for at least 1 month during 2003-2020 (n = 582 638), with 62% of individuals linking to enrollment during the month of cancer diagnosis. Among all registry cancer cases, 47% (n = 317 898) had continuous insurance enrollment for at least 12 months before and after cancer diagnosis. CONCLUSION: CIPHR illustrates the utility of establishing and maintaining a statewide, comprehensive cancer population health database. This resource serves to characterize the cancer center catchment area and aids in tracking cancer outcomes and trends in care delivery as well as identifying disparities that require intervention and policy focus.

Advancing Equity in Local Health Departments: An Inside-Out Approach.

The North Carolina Division of Public Health, Chronic Disease and Injury Section recommends local health departments (LHDs) adopt an "inside-out" approach to advance health and racial equity. Internally, LHDs must increase their capacity to address equity by establishing LHD policies and practices that prioritize equity and nurture a culture of trust. Externally, LHDs must seek guidance from historically marginalized populations to inform LHD policy changes and community-based public health approaches affecting these populations for greater engagement in LHD programs. (Am J Public Health. 2024;114(S7):S554-S557. https://doi.org/10.2105/AJPH.2024.307719).

Chemical and non-chemical stressors in a postpartum cohort through wristband and self report data: Links between increased chemical burden, economic, and racial stress.

Multiple external stressors are known to have adverse impacts on health and development. Certain groups are more vulnerable and/or more likely to be exposed toenvironmental, psychological, and social stressors simultaneously. Yet, few studies have examined combined exposure to environmental toxicants and psychosocial stress. Here, we integrated environmental chemical exposure data collected using silicone wristbands and self-report social stressor data within the Brain and Early Experience (BEE) perinatal cohort to understand co-exposure to environmental chemicals and social stress. Silicone wristbands were worn for one week by mothers throughout central North Carolina who were 6 months postpartum (n = 97). Exposure to 110 environmental chemicals across eight chemical classes was quantified on silicone wristbands using gas chromatography mass spectrometry. Social stress was evaluated using eight established self-report questionnaires (e.g., Brief Symptom Inventory, Perceived Stress Scale), quantifying experiences such as race-related stress, economic strain, and relationship conflict. Hair cortisol levels were measured as an additional metric of stress. The chemical exposure landscape and associations among chemical exposure, demographic characteristics, and social stress were characterized through individual variable analyses, cluster and data reduction, and compiled scoring approaches to comprehensively evaluate chemical and social stress burdens. We found that chemicals contain co-occurring patterns largely based on chemical class, with phthalates representing the chemical class with highest exposure and polychlorinated biphenyls the lowest. Chemicals showed differential exposure across racial groups, with diethyl phthalate, triphenyl phosphate, and tris(3,5-dimethyl phenyl) phosphate at higher levels in Black participants compared with White participants. Integrating social stressor profiling with chemical exposure data identified one particularly vulnerable subset of participants in which high chemical exposure burden coincided with high experiences of racism and economic stress. These findings demonstrate co-occurring chemical and social stress, warranting further investigation to better understand how these combined stressors may contribute to disparities in maternal and child health.

Estimating rates of change to interpret quantitative wastewater surveillance of disease trends.

BACKGROUND: Wastewater monitoring data can be used to estimate disease trends to inform public health responses. One commonly estimated metric is the rate of change in pathogen quantity, which typically correlates with clinical surveillance in retrospective analyses. However, the accuracy of rate of change estimation approaches has not previously been evaluated. OBJECTIVES: We assessed the performance of approaches for estimating rates of change in wastewater pathogen loads by generating synthetic wastewater time series data for which rates of change were known. Each approach was also evaluated on real-world data. METHODS: Smooth trends and their first derivatives were jointly sampled from Gaussian processes (GP) and independent errors were added to generate synthetic viral load measurements; the range hyperparameter and error variance were varied to produce nine simulation scenarios representing different potential disease patterns. The directions and magnitudes of the rate of change estimates from four estimation approaches (two established and two developed in this work) were compared to the GP first derivative to evaluate classification and quantitative accuracy. Each approach was also implemented for public SARS-CoV-2 wastewater monitoring data collected January 2021-May 2023 at 25 sites in North Carolina, USA. RESULTS: All four approaches inconsistently identified the correct direction of the trend given by the sign of the GP first derivative. Across all nine simulated disease patterns, between a quarter and a half of all estimates indicated the wrong trend direction, regardless of estimation approach. The proportion of trends classified as plateaus (statistically indistinguishable from zero) for the North Carolina SARS-CoV-2 data varied considerably by estimation method but not by site. DISCUSSION: Our results suggest that wastewater measurements alone might not provide sufficient data to reliably track disease trends in real-time. Instead, wastewater viral loads could be combined with additional public health surveillance data to improve predictions of other outcomes.

SARS-CoV-2 antibody prevalence by industry, workplace characteristics, and workplace infection prevention and control measures, North Carolina, USA, 2021 to 2022.

The COVID-19 pandemic has disproportionately affected workers in certain industries and occupations, and the workplace can be a high-risk setting for SARS-CoV-2 transmission. In this study, we measured SARS-CoV-2 antibody prevalence and identified work-related risk factors in a population primarily working at industrial livestock operations. We used a multiplex salivary SARS-CoV-2 IgG assay to determine infection-induced antibody prevalence among 236 adult (≥18 yr) North Carolina residents between February 2021 and August 2022. We used the National Institute for Occupational Safety and Health Industry and Occupation Computerized Coding System (NIOCCS) to classify employed participants' industry. Most participants (55%, 95% confidence interval [CI] 49% to 62%) were infection-induced IgG positive, including 71% (95% CI 60% to 83%) of animal slaughtering and processing industry workers, 1.5 to 4.3 times North Carolina general population infection-induced seroprevalence estimates during overlapping time periods. Considering self-reported diagnostic test positivity and vaccination history in addition to antibodies, the proportion of participants with evidence of prior infection increased slightly to 61% (95% CI 55% to 67%), including 75% (95% CI 64% to 87%) of animal slaughtering and processing workers. Participants with more than 1000 compared to 10 or fewer coworkers at their jobsite had higher odds of prior infection (adjusted odds ratio 4.5, 95% CI 1.0 to 21.0). This study contributes evidence of the severe and disproportionate impacts of COVID-19 on animal slaughtering and processing workers and workers in large congregate settings.

¿No Hay Racismo?: application of the levels of racism framework to Latinx perspectives on barriers to health and wellbeing.

BACKGROUND: The purpose of this study is to increase understanding of the forms of systemic racism experienced by Latinx communities in North Carolina during the COVID-19 pandemic as identified by Latinx community health workers (CHWs) and community-based organization (CBO) leaders. METHODS: We held three focus groups in July 2022 (N = 16) with CHWs and CBO leaders in Spanish to discuss policy and community interventions that improved access to resources during the COVID-19 pandemic; policy or community interventions needed to improve care of Latinx communities; and lessons learned to improve the health of Latinx communities in the future. We performed directed and summative qualitative content analysis of the data in the original language using the Levels of Racism Framework by Dr. Camara Jones to identify examples of implicitly and explicitly discussed forms of systemic racism. RESULTS: Latinx CHWs and CBO leaders implicitly discussed numerous examples of all levels of racism when seeking and receiving health services, such as lack of resources for undocumented individuals and negative interactions with non-Latinx individuals, but did not explicitly name racism. Themes related to institutionalized racism included: differential access to resources due to language barriers; uninsured or undocumented status; exclusionary policies not accounting for cultural or socioeconomic differences; lack of action despite need; and difficulties obtaining sustainable funding. Themes related to personally-mediated racism included: lack of cultural awareness or humility; fear-inciting misinformation targeting Latinx populations; and negative interactions with non-Latinx individuals, organizations, or institutions. Themes related to internalized racism included: fear of seeking information or medical care; resignation or hopelessness; and competition among Latinx CBOs. Similarly, CHWs and CBO leaders discussed several interventions with systems-level impact without explicitly mentioning policy or policy change. CONCLUSION: Our research demonstrates community-identified examples of racism and confirms that Latinx populations often do not name racism explicitly. Such language gaps limit the ability of CHWs and CBOs to highlight injustices and limit the ability of communities to advocate for themselves. Although generally COVID-19 focused, themes identified represent long-standing, systemic barriers affecting Latinx communities. It is therefore critical that public and private policymakers consider these language gaps and engage with Latinx communities to develop community-informed anti-racist policies to sustainably reduce forms of racism experienced by this unique population.

Arthropod community composition in urban landscapes is shaped by both environmental filtering and dispersal limitation.

We assessed the relative importance of environmental filtering and dispersal limitation in structuring foliage- and ground-dwelling arthropod communities in central North Carolina. We hypothesized that differences in both local environment and dispersal distance between sites would predict differences in community composition, but that dispersal distance would be more important for ground arthropods than for foliage arthropods. We used variance partitioning to quantify the relative explanatory power of differences in the local environment and dispersal distance between sampling plots. For foliage arthropods, the full set of predictors explained 37-39% of the variance in community dissimilarity, while the full set of predictors explained 42-56% of the variance for ground arthropods. Environmental predictors alone consistently explained more variance in community dissimilarity than geographic predictors alone for ground arthropods, but the variance explained by each predictor set alone varied for foliage arthropods depending on the metric of community dissimilarity. Examining communities of multiple arthropod groups across the same spatial gradient highlights the scale-dependence of these processes and illustrates how variation in the environment can alter the relative abundance of specialist and generalist taxa.