The effectiveness of COVID-19 testing and contact tracing in a US city.

Although testing, contact tracing, and case isolation programs can mitigate COVID-19 transmission and allow the relaxation of social distancing measures, few countries worldwide have succeeded in scaling such efforts to levels that suppress spread. The efficacy of test-trace-isolate likely depends on the speed and extent of follow-up and the prevalence of SARS-CoV-2 in the community. Here, we use a granular model of COVID-19 transmission to estimate the public health impacts of test-trace-isolate programs across a range of programmatic and epidemiological scenarios, based on testing and contact tracing data collected on a university campus and surrounding community in Austin, TX, between October 1, 2020, and January 1, 2021. The median time between specimen collection from a symptomatic case and quarantine of a traced contact was 2 days (interquartile range [IQR]: 2 to 3) on campus and 5 days (IQR: 3 to 8) in the community. Assuming a reproduction number of 1.2, we found that detection of 40% of all symptomatic cases followed by isolation is expected to avert 39% (IQR: 30% to 45%) of COVID-19 cases. Contact tracing is expected to increase the cases averted to 53% (IQR: 42% to 58%) or 40% (32% to 47%), assuming the 2- and 5-day delays estimated on campus and in the community, respectively. In a tracing-accelerated scenario, in which 75% of contacts are notified the day after specimen collection, cases averted increase to 68% (IQR: 55% to 72%). An accelerated contact tracing program leveraging rapid testing and electronic reporting of test results can significantly curtail local COVID-19 transmission.

Chagas Disease Diagnostic Practices at Four Major Hospital Systems in California and Texas.

BACKGROUND: Chagas disease (CD) is a parasitic disease that affects ∼300 000 people living in the United States. CD leads to cardiac and/or gastrointestinal disease in up to 30% of untreated people. However, end-organ damage can be prevented with early diagnosis and antiparasitic therapy. METHODS: We reviewed electronic health records of patients who underwent testing for CD at four hospital systems in California and Texas between 2016 and 2020. Descriptive analyses were performed as a needs assessment for improving CD diagnosis. RESULTS: In total, 470 patients were tested for CD. Cardiac indications made up more than half (60%) of all testing, and the most frequently cited cardiac condition was heart failure. Fewer than 1% of tests were ordered by obstetric and gynecologic services. Fewer than half (47%) of patients had confirmatory testing performed at the Centers for Disease Control and Prevention. DISCUSSION: Four major hospitals systems in California and Texas demonstrated low overall rates of CD diagnostic testing, testing primarily among older patients with end-organ damage, and incomplete confirmatory testing. This suggests missed opportunities to diagnose CD in at-risk individuals early in the course of infection when antiparasitic treatment can reduce the risk of disease progression and prevent vertical transmission.

Coccidioidomycosis-Related Hospital Visits, Texas, USA, 2016-2021.

We analyzed hospital discharge records of patients with coccidioidomycosis-related codes from the International Classification of Diseases, 10th revision, Clinical Modification, to estimate the prevalence of hospital visits associated with the disease in Texas, USA. Using Texas Health Care Information Collection data for 2016-2021, we investigated the demographic characteristics and geographic distribution of the affected population, assessed prevalence of hospital visits for coccidioidomycosis, and examined how prevalence varied by demographic and geographic factors. In Texas, 709 coccidioidomycosis-related inpatient and outpatient hospital visits occurred in 2021; prevalence was 3.17 cases per 100,000 total hospital visits in 2020. Geographic location, patient sex, and race/ethnicity were associated with increases in coccidioidomycosis-related hospital visits; male, non-Hispanic Black, and Hispanic patients had the highest prevalence of coccidioidomycosis compared with other groups. Increased surveillance and healthcare provider education and outreach are needed to ensure timely and accurate diagnosis and treatment of coccidioidomycosis in Texas and elsewhere.

Avian Influenza A(H5N1) Virus among Dairy Cattle, Texas, USA.

During March and April 2024, we studied dairy cattle specimens from a single farm in Texas, USA, using multiple molecular, cell culture, and next-generation sequencing pathogen detection techniques. Here, we report evidence that highly pathogenic avian influenza A(H5N1) virus strains of clade 2.3.4.4b were the sole cause of this epizootic.

Effects of treatment methods on cutaneous melanoma related mortality and all-cause mortality in Texas: TCR-Medicare 2007-2017 database.

PURPOSE: The incidence of cutaneous melanoma is rising, and Melanoma related deaths are highest among people aged 65-74. Herein, we aim to understand the impact of novel and established melanoma treatment methods on CM related mortality and all-cause mortality. We further compared these effects among Hispanic and non-Hispanic Whites (NHW). METHODS: The data was extracted from the Texas Cancer Registry from 2007 to 2017. A Cox Proportional Hazard regression analysis was performed to assess treatment effect on melanoma mortality and all-cause mortality, with race-ethnicity as an effect modifier. RESULTS: A higher percentage of Hispanic patients presented with CM-related mortality (22.11%) compared to NHW patients (14.39%). In both the Hispanic and NHW, post-diagnosis radiation (HR = 1.610, 95% CI 0.984-2.634, HR = 2.348, 95% CI 2.082-2.648, respectively), post-diagnosis chemotherapy (HR = 1.899, 95% CI 1.085-3.322, HR = 2.035, 95% CI 1.664-2.489, respectively), and post-diagnosis immunotherapy (HR = 2.100, 95% CI 1.338-3.296, HR = 2.402, 95% CI 2.100-2.748) are each associated with an increased risk in CM-related mortality. Similar results were seen with post-diagnosis radiation (Hispanic HR = 1.640, 95% CI 1.121-2.400, NHW HR = 1.800, 95% CI 1.644-1.971), post-diagnostic chemotherapy (Hispanic HR = 1.457, 95% CI 0.898-2.364, NHW HR = 1.592, 95% CI 1.356-1.869), and post-diagnosis immunotherapy (Hispanic HR = 2.140, 95% CI 1.494-3.065, NHW HR = 2.190, 95% CI 1.969-2.435) with respect to all-cause mortality. Post-diagnosis surgery (HR = 0.581, 95% CI 0.395-0.856, HR = 0.622, 95% CI 0.571-0.678) had the opposite effect in CM-related mortality for Hispanics and NHWs respectively. CONCLUSION: Our results propose differences in all-cause and CM-only related mortality with separate treatment modalities, particularly with chemotherapy, radiation therapy and immunotherapy. In addition, this retrospective cohort study showed that health disparities exist in the Hispanic Medicare population of Texas with CM.

Persistent poverty and incidence-based melanoma mortality in Texas.

PURPOSE: Previous studies have shown that individuals living in areas with persistent poverty (PP) experience worse cancer outcomes compared to those living in areas with transient or no persistent poverty (nPP). The association between PP and melanoma outcomes remains unexplored. We hypothesized that melanoma patients living in PP counties (defined as counties with ≥ 20% of residents living at or below the federal poverty level for the past two decennial censuses) would exhibit higher rates of incidence-based melanoma mortality (IMM). METHODS: We used Texas Cancer Registry data to identify the patients diagnosed with invasive melanoma or melanoma in situ (stages 0 through 4) between 2000 and 2018 (n = 82,458). Each patient's PP status was determined by their county of residence at the time of diagnosis. RESULTS: After adjusting for demographic variables, logistic regression analyses revealed that melanoma patients in PP counties had statistically significant higher IMM compared to those in nPP counties (17.4% versus 11.3%) with an adjusted odds ratio of 1.35 (95% CI 1.25-1.47). CONCLUSION: These findings highlight the relationship between persistent poverty and incidence-based melanoma mortality rates, revealing that melanoma patients residing in counties with persistent poverty have higher melanoma-specific mortality compared to those residing in counties with transient or no poverty. This study further emphasizes the importance of considering area-specific socioeconomic characteristics when implementing place-based interventions to facilitate early melanoma diagnosis and improve melanoma treatment outcomes.

Prevalence and descriptive epidemiology of choanal atresia and stenosis in Texas, 1999-2018.

Choanal atresia and stenosis are common causes of congenital nasal obstruction, but their epidemiology is poorly understood. Compared to bilateral choanal atresia/stenosis, unilateral choanal atresia/stenosis is generally diagnosed later and might be under-ascertained in birth defect registries. Data from the population-based Texas Birth Defects Registry and Texas vital records, 1999-2018, were used to assess the prevalence of choanal atresia/stenosis. Poisson regression models were used to evaluate associations with infant and maternal characteristics in two analytic groups: isolated choanal atresia/stenosis (n = 286) and isolated, bilateral choanal atresia/stenosis (n = 105). The overall prevalence of choanal atresia/stenosis was 0.92/10,000, and the prevalence of isolated choanal atresia/stenosis was 0.37/10,000 livebirths. Variables associated with choanal atresia/stenosis in one or both analytic groups included infant sex, pregnancy plurality, maternal race/ethnicity, maternal age, and maternal residence on the Texas-Mexico border. In general, adjusted prevalence ratios estimated from the two analytic groups were in the same direction but tended to be stronger in the analyses restricted to isolated, bilateral defects. Epidemiologic studies of isolated choanal atresia/stenosis should consider focusing on cases with bilateral defects, and prioritizing analyses of environmental, social, and structural factors that could account for the association with maternal residence on the Texas-Mexico border.

Change in Nutrition Behavior After Participating in an Obesity-Related Cancer Education Program in El Paso, Texas.

BACKGROUND: Roughly 25% of the U.S- Border city, El Paso, Texas is obese. Obesity is a major risk factor for 13 cancers. Cancer is the leading cause of death in El Paso. Therefore, there is a growing urgency to implement evidence-based programs that support behavioral change that helps curb the impact of obesity in El Paso and the U.S.-Mexico border region. PURPOSE: This study aimed to assess the effectiveness of an obesity-related cancer prevention program (Pasos Para Prevenir Cancer (PPPC) on changes in participant nutrition behaviors. METHODS: Culturally tailored, theory-based education was provided to adults through the PPPC program. A total of 256 PPPC participants agreed to take part in our program evaluation. Participants were asked to complete a survey at baseline and 6 months after they completed the program. Session included topics on obesity-related cancers, assessing your obesity risk, measuring body fat, SMART goal setting, and how to find the right type of physical activity. For this report we used the Food Frequency Questionnaire (FFQ) data to assess changes between baseline and six months. We also used perceived dietary barriers as moderators on the relationship between program participation and nutrition behaviors. RESULTS: Most participants (92.2%) identified as being of Mexican American descent, were between the ages of 41-75 years of age (n = 165) and identified as females (n = 225). 48.1% of the participants were born in Mexico while 50.4% were born in the U.S. Approximately 35-51% of participants improved and sustained their intake of healthier foods at 6 month follow up. Specifically, there was a statistically significant shift from higher fat and sugar content foods to light and low-fat foods, and fruits and vegetables. Participants also increased their consumption of ground chicken, lean red meat, and seafood. A key modifier in this relationship is perceived health risk. CONCLUSION: Latinos on the U.S.-Mexico border ascribe to a healthy living mindset. In general, they frequently eat fruits and vegetables. Participation in PPPC increased perceived barriers to healthy living around cost and convenience and enhanced decision-making around healthier options. Participants responded to our adapted evidence-based program resulting in sustained changes in nutrition behaviors. Using adapted evidence-based strategies developed outside of the U.S.-Mexico border region is a feasible approach to address persist health disparities.

Associations Between Vitamin D Deficiency/Insufficiency and Depression Expose Health Disparities in Older Rural West Texans: A Project FRONTIER Study.

OBJECTIVE: To determine associations between Vitamin D (VD) levels and clinical depression through the Geriatric Depression Scale (GDS) and its questions and subdomains, stratified by demographics and Hispanic/Latino ethnicity (HLE). DESIGN, SETTING, AND PARTICIPANTS: A cohort of 299 Project FRONTIER participants aged 62.6 ± 11.7 years old, 70.9% female, and 40.5% HLE were used. Standard correlation and regression analyses were employed. MEASUREMENTS: The main outcome measures were VD (serum 25(OH)-VD) level, GDS-30 (30-item questionnaire), GDS-30 subfactors and questions, and HLE status. VD categories were defined as VD deficiency (VDD; ≤20 ng/mL), VD insufficiency (VDI; 21-29 ng/mL), VD sufficiency (30-38 ng/mL) and high VD sufficiency (>38 ng/mL). RESULTS: The majority (61.5%) of samples fell into VDD/VDI categories. A significant negative association was found between VD level and GDS-30 total score. VD level was negatively correlated with Dysphoria and Meaninglessness GDS-30 subfactors. Although GDS subfactors were similar between HLE and non-HLE groups, VD levels were significantly lower in HLE samples. Finally, HLE/non-HLE groups were differentially stratified across VD categories. Only 4% of HLEs fell into the high VD sufficient category, suggesting low VD supplementation. CONCLUSION: A significant negative association between VD level and depressive symptoms was revealed in our aging Project FRONTIER participants. HLE individuals were overrepresented in VDD/VDI samples, and VDD/VDI was associated primarily with the Dysphoria GDS subdomain. Regression analysis predicted high VD sufficiency (95.5 ng/mL) to be associated with no depressive symptoms (GDS=0). Our results underscore troubling disparities in VD-related depressive symptoms between HLE and non-HLE populations.

Temporal Trends of Neonatal Surgical Conditions in Texas and Accessibility to Pediatric Surgical Care.

INTRODUCTION: Texas consistently accounts for approximately 10% of annual national births, the second highest of all US states. This temporal study aimed to evaluate incidences of neonatal surgical conditions across Texas and to delineate regional pediatric surgeon accessibility. METHODS: The Texas Birth Defects Registry was queried from 1999 to 2018, based on 11 well-established regions. Nine disorders (30,476 patients) were identified as being within the operative scope of pediatric surgeons: biliary atresia (BA), pyloric stenosis (PS), Hirschsprung's disease, stenosis/atresia of large intestine/rectum/anus, stenosis/atresia of small intestine, tracheoesophageal fistula/esophageal atresia, gastroschisis, omphalocele, and congenital diaphragmatic hernia. Annual and regional incidences were compared (/10,000 births). Statewide pediatric surgeons were identified through the American Pediatric Surgical Association directory. Regional incidences of neonatal disorder per surgeon were evaluated from 2010 to 2018 as a surrogate for provider disparity. RESULTS: PS demonstrated the highest incidence (14.405/10,000), while BA had the lowest (0.707/10,000). Overall, incidences of PS and BA decreased significantly, while incidences of Hirschsprung's disease and small intestine increased. Other diagnoses remained stable. Regions 2 (48.24/10,000) and 11 (47.79/10,000) had the highest incidence of neonatal conditions; Region 6 had the lowest (34.68/10,000). Three rural regions (#2, 4, 9) lacked pediatric surgeons from 2010 to 2018. Of regions with at least one surgeon, historically underserved regions (#10, 11) along the Texas-Mexico border consistently had the highest defect per surgeon rates. CONCLUSIONS: There are temporal and regional differences in incidences of neonatal conditions treated by pediatric surgeons across Texas. Improving access to neonatal care is a complex issue that necessitates collaborative efforts between state legislatures, health systems, and providers.

Comparison of two propensity score-based methods for balancing covariates: the overlap weighting and fine stratification methods in real-world claims data.

BACKGROUND: Two propensity score (PS) based balancing covariate methods, the overlap weighting method (OW) and the fine stratification method (FS), produce superb covariate balance. OW has been compared with various weighting methods while FS has been compared with the traditional stratification method and various matching methods. However, no study has yet compared OW and FS. In addition, OW has not yet been evaluated in large claims data with low prevalence exposure and with low frequency outcomes, a context in which optimal use of balancing methods is critical. In the study, we aimed to compare OW and FS using real-world data and simulations with low prevalence exposure and with low frequency outcomes. METHODS: We used the Texas State Medicaid claims data on adult beneficiaries with diabetes in 2012 as an empirical example (N = 42,628). Based on its real-world research question, we estimated an average treatment effect of health center vs. non-health center attendance in the total population. We also performed simulations to evaluate their relative performance. To preserve associations between covariates, we used the plasmode approach to simulate outcomes and/or exposures with N = 4,000. We simulated both homogeneous and heterogeneous treatment effects with various outcome risks (1-30% or observed: 27.75%) and/or exposure prevalence (2.5-30% or observed:10.55%). We used a weighted generalized linear model to estimate the exposure effect and the cluster-robust standard error (SE) method to estimate its SE. RESULTS: In the empirical example, we found that OW had smaller standardized mean differences in all covariates (range: OW: 0.0-0.02 vs. FS: 0.22-3.26) and Mahalanobis balance distance (MB) (< 0.001 vs. > 0.049) than FS. In simulations, OW also achieved smaller MB (homogeneity: <0.04 vs. > 0.04; heterogeneity: 0.0-0.11 vs. 0.07-0.29), relative bias (homogeneity: 4.04-56.20 vs. 20-61.63; heterogeneity: 7.85-57.6 vs. 15.0-60.4), square root of mean squared error (homogeneity: 0.332-1.308 vs. 0.385-1.365; heterogeneity: 0.263-0.526 vs 0.313-0.620), and coverage probability (homogeneity: 0.0-80.4% vs. 0.0-69.8%; heterogeneity: 0.0-97.6% vs. 0.0-92.8%), than FS, in most cases. CONCLUSIONS: These findings suggest that OW can yield nearly perfect covariate balance and therefore enhance the accuracy of average treatment effect estimation in the total population.

Factors Associated with Planned Future Use of PrEP in the Next 3 Months and Likelihood to Use PrEP Among Black Cisgender HIV-negative Women in Texas.

Identifying and then addressing barriers and leveraging facilitators is important to help increase pre-exposure prophylaxis (PrEP) use among Black women vulnerable to HIV acquisition. The present cross-sectional study examined what factors were associated with future plans to use PrEP, and general likelihood to use it among a convenience sample of 152 adult, Black cisgender women from three metropolitan areas in Texas. The final multivariable logistic regression model revealed that relationship status (aOR = 0.20, 95% CI: 0.05-0.73, p < 0.05), PrEP anticipated stigma (aOR = 0.29, 95% CI: 0.10-0.78, p < 0.05), perceived discrimination (aOR = 0.40, 95% CI: 0.21-0.78, p < 0.01) and interest in learning more about PrEP (aOR = 5.32, 95% CI: 2.60-10.9, p < 0.001) were associated with future plans to use PrEP. The final multivariable linear regression model with maximum likelihood estimation identified that perceived discrimination (ß=-0.24, SE: -0.38 - -0.10, p < 0.01), perceived HIV risk (ß = 0.33, SE: 0.18-0.49, p < 0.001), willingness to use PrEP with condoms (ß = 1.26, SE: 0.94-1.60, p < 0.001), and comfort communicating about PrEP with a provider (ß = 0.23, SE: 0.06-0.41, p < 0.01) were associated with general likelihood to use PrEP. Findings reveal key factors that warrant further attention and examination toward improving PrEP use within this population.

High all-cause mortality and increasing proportion of older adults with tuberculosis in Texas, 2008-2020.

Pulmonary tuberculosis (PTB) elimination efforts must consider the global growth of the ageing population. Here we used TB surveillance data from Texas, United States (2008-2020; total n = 10656) to identify unique characteristics and outcomes in older adults (OA, ≥65 years) with PTB, compared to young adults (YA, 18-39 years) or middle-aged adults (40-64 years). We found that the proportion of OA with PTB increased from 15% in 2008 to 24% in 2020 (trend p < 0.05). Diabetes was highly prevalent in OA (32%) but not associated with adverse outcomes. Death was 13-fold higher in OA compared to YA and was 7% at the time of diagnosis which suggests diagnostic delays. However, once TB was suspected, we found no differences in culture, smear, or nucleic acid detection of mycobacteria (although less lung cavitations) in OA. During treatment, OA had less drug-resistant TB, few adverse reactions and adhered with TB treatment. We recommend training healthcare workers to 'think TB' in OA, for prompt treatment initiation to diminish deaths. Furthermore, OA should be added as a priority group to the latent TB treatment guidelines by the World Health Organization, to prevent TB disease in this highly vulnerable group.

Disparities in adverse impacts of the COVID-19 pandemic by disability status in metropolitan Texas.

BACKGROUND: This article addresses the urgent need for more evidence-based research using primary data to document how the COVID-19 pandemic affected the health and social wellbeing of disabled individuals. Our study sought to determine if adults with disabilities, and with specific types of disability, were more likely to suffer adverse health and social impacts related to COVID-19 than nondisabled adults in metropolitan Texas, during the first 18 months of the pandemic. METHODS: We collected primary data from randomly selected residents in eight Texas metropolitan areas through a bilingual telephone survey in July 2021. Statistical analysis comprised multivariable generalized estimating equations that control for relevant sociodemographic and COVID-related risk factors, and spatial clustering. RESULTS: Disabled survey respondents had been more adversely affected by COVID-19 than nondisabled respondents, in terms of mental and physical health, health care access, living conditions and social life. Significant disparities were also found for almost all COVID-19 impacts when the disabled category was disaggregated by disability type. Respondents experiencing cognitive and independent living difficulties were negatively impacted in all five areas of life examined. CONCLUSIONS: Findings emphasize the need to consider a wide range of impacts associated with the COVID-19 pandemic that negatively affect the health and social wellbeing of disabled persons, as well as develop disability-inclusive policies that provide adequate protections.

Incidence and psychiatric predictors of Long COVID beyond 3 months in a city-wide community sample in Texas.

BACKGROUND: Studies have emerged about a syndrome of persistent symptoms of Coronavirus Disease-2019 (COVID-19) infection called 'Long COVID', which have mostly focused on the first 3 months. This study examined rates and predictors of Long COVID symptoms lasting beyond 3 months (termed Long2 COVID). METHODS: A longitudinal cohort study using a population-based sample of 511 adults in San Antonio, Texas with laboratory-confirmed cases of COVID-19 were assessed for Long2 COVID. Inverse probability weighting was used. RESULTS: In the sample, 19.18-59.10% met criteria for Long2 COVID depending on the definition. In general, Long COVID symptoms decreased after 3 months with the notable exception of an observed increase in loss of taste and smell. White Hispanic (adjusted odds ratio (aOR) = 7.66; 95% confidence interval (CI) = 1.78, 32.87) background and baseline depression symptoms (aOR = 1.30; 95% CI = 1.03, 1.65) were predictive of Long2 COVID. Long2 COVID was also associated with greater anxiety symptoms 6 months after onset of COVID-19. CONCLUSIONS: A sizable proportion report COVID-19 symptoms lasting more than 3 months and some symptoms even increased over time. Adults who are Hispanic white adults or have depression may be at greater risk for Long2 COVID. Further research is needed on why some adults experience Long COVID and how to reduce the duration of illness.

Rural cardiac arrest care and outcomes in Texas.

INTRODUCTION: Out-of-hospital cardiac arrest (OHCA) victims in rural communities have worse outcomes despite higher rates of bystander cardiopulmonary resuscitation (CPR) than urban communities. In this retrospective cohort study we attempt to evaluate selected aspects of the continuum of care, including post-arrest care, for rural OHCA victims, and we investigated factors that could contribute to rural areas having higher rates of bystander CPR. METHODS: We analyzed 2014-2020 Texas Cardiac Arrest Registry to Enhance Survival (TX-CARES) data for adult OHCAs. We linked TX-CARES data to census tract data and stratified OHCAs into urban and rural events. We created a mixed-model logistic regression to compare cardiac arrest characteristics, pre-hospital care, and post-arrest care between rural and urban settings. We adjusted for confounders and modeled census tract as a random intercept. We then compared different regression models evaluating the association between response time and bystander CPR. RESULTS: We included 1202 rural and 28,288 urban cardiac arrests. Comparing rural to urban OHCAs, rates of bystander CPR were significantly higher in rural communities (49.6% v 40.6%, aOR 1.3 95% CI 1.1-1.5). The median response time for rural (11.5 min) was longer than urban (7.3 min). The occurrence of an ambulance response time of <10 min was notably less common in rural communities when compared to urban areas (aOR 0.2, 95% CI 0.2-0.2). For post-arrest care the rates of percutaneous coronary intervention (PCI) were higher in rural than urban communities (aOR 1.7, 95% CI 1.01-2.8). The rates of AED and TTM were similar between urban and rural communities. Survival to hospital discharge was significantly lower in rural communities than urban communities (aOR 0.6, 95% CI 0.4-0.7). Although not significant, rural communities had lower rate of survival with a cognitive performance score (CPC) of 1 or 2 (aOR 0.7, 05% CI 0.6-1.003). We identified no association between response time and bystander CPR. CONCLUSION: Patients in rural areas of Texas have lower survival after OHCA compared to patients in urban areas, despite having significantly greater rates of bystander CPR and PCI. We did not find a link between response time and bystander CPR rates.

Exploring Smoking Disparities and Sociodemographic Factors in a Peri-urban Landscape: A Census Tract-Level Analysis in McLennan County, Texas.

Cigarette smoking significantly contributes to preventable illness, death, and economic costs. Despite overall reduction in national smoking rates, disparities persist between demographic groups and geographic regions. While some studies have explored urban-rural differences in smoking prevalence, gaps exist in understanding localized patterns. This study focuses on examining smoking rates and related factors at the census tract level in McLennan County, Texas, a county that contains a mixture of urban, peri-urban, and rural areas. This study uses census tract level aggregate sociodemographic, smoking, and health-related data from the American Community Survey and the PLACES Project City Health Dashboard. Geospatial analyses mapped co-occurrence of high prevalence of smoking, mental and physical distress, and co-occurrence of lower routine medical check-ups, household income, and education. Multiple linear regression modeled associations between smoking and sociodemographic, and health-related factors. Geospatial analyses identified census tracts with co-occurring high prevalence of smoking, mental and physical distress, and co-occurrence of lower routine medical check-ups, household income, and education level in McLennan County. Regression analyses identified that smoking rates were positively correlated with frequent physical distress (p < 0.0001) and negatively correlated with the proportion of routine medical check-ups (p < 0.0001) and the proportion living in poverty (p = 0.0002). This study found significant variations in smoking rates, physical and mental distress, medical check-ups, and sociodemographic factors between neighboring census tracts which geospatial analyses examining larger geographic units may have overlooked. Future research should focus on obtaining individual-level and community-level data to develop more targeted interventions sensitive to specific community contexts.

Assessment of a SARS-CoV-2 wastewater monitoring program in El Paso, Texas, from November 2020 to June 2022.

The border city of El Paso, Texas, and its water utility, El Paso Water, initiated a SARS-CoV-2 wastewater monitoring program to assess virus trends and the appropriateness of a wastewater monitoring program for the community. Nearly weekly sample collection at four wastewater treatment facilities (WWTFs), serving distinct regions of the city, was analyzed for SARS-CoV-2 genes using the CDC 2019-Novel coronavirus Real-Time RT-PCR diagnostic panel. Virus concentrations ranged from 86.7 to 268,000 gc/L, varying across time and at each WWTF. The lag time between virus concentrations in wastewater and reported COVID-19 case rates (per 100,00 population) ranged from 4-24 days for the four WWTFs, with the strongest trend occurring from November 2021 - June 2022. This study is an assessment of the utility of a geographically refined SARS-CoV-2 wastewater monitoring program to supplement public health efforts that will manage the virus as it becomes endemic in El Paso.

A Comprehensive Program to Improve Treatment of Precancerous Cervical Lesions in the Rio Grande Valley of Texas.

OBJECTIVE: To assess the impact of a multicomponent intervention in women with cervical dysplasia who were treated with loop electrosurgical excision procedure (LEEP), as well as the time between colposcopy and treatment. DESIGN: Retrospective cohort study. INTERVENTION: Clinic participation in a multicomponent cervical cancer prevention program that included community outreach, patient in-reach, and navigation, as well as provider capacity building with in-person training and ongoing telementoring through Project ECHO. MAIN OUTCOME MEASURES: Medical records were reviewed to evaluate women with cervical dysplasia undergoing treatment with LEEP within 90 days of colposcopy, as well as time between colposcopy and treatment. Baseline data from year 1 were compared with each subsequent year of implementation. Additional variables examined included patient's age, history of abnormal screening results, and percentage of families living below poverty line based on county of residence, parity, and clinic site. We performed logistic regression and multiple linear regression analyses to assess the programmatic impact in the outcomes of interest by year of program implementation. RESULTS: A total of 290 women were included in the study. The proportion of women undergoing treatment within 90 days of colposcopy increased from 76.2% at baseline to 91.3% in year 3 and 92.9% in year 4 of program implementation. The odds of undergoing treatment within 90 days were 5.11 times higher in year 4 of program implementation than at baseline. The mean time between colposcopy and LEEP decreased from 62 days at baseline to 45 days by year 4 of program implementation. CONCLUSIONS: Implementation of our multicomponent cervical cancer prevention program increased the proportion of women undergoing LEEP within 90 days of colposcopy and decreased the time between colposcopy and LEEP. This program has the potential to support cervical cancer prevention efforts and could be implemented in other low-resource settings.

Examining the Role of Self-Harm in the Relationship between Emergency Department Service Utilization and Trauma-Induced Homelessness among Homeless Individuals in Texas.

Homelessness is a complex public health problem in the United States. Current or ongoing history of trauma among individuals adds to the complexity and challenges of homelessness. Our study assessed the moderating role of self-harm in the association between emergency department (ED) service utilization and trauma-induced homelessness (TIH) among adults in Texas. Homeless adults (N = 282) who completed their baseline Vulnerability Index Service Prioritization Decision Assistance Prescreen Tool survey between February 2021 and February 2022 at a Local Mental Health Authority in Texas were selected. The outcome variable, TIH, was assessed by current period of homelessness due to experiencing trauma or abuse. The main independent variable was ED utilization, while self-harm in the past year was assessed as the moderating variable. A multivariate logistic regression with a moderation analysis was conducted while adjusting for the covariates. Individuals who utilized ED services and engaged in self-harm and risky behaviors had greater odds of experiencing current period of TIH. Male respondents were less likely to experience TIH. Finally, engaging in self-harm significantly moderated the association between ED service use and TIH. This study may help inform efforts to develop tailored interventions and promote resilience-based approaches to improve health outcomes among individuals experiencing homelessness due to TIH.