Genomic Answers for Kids: Toward more equitable access to genomic testing for rare diseases in rural populations.

Next-generation sequencing has revolutionized the speed of rare disease (RD) diagnoses. While clinical exome and genome sequencing represent an effective tool for many RD diagnoses, there is room to further improve the diagnostic odyssey of many RD patients. One recognizable intervention lies in increasing equitable access to genomic testing. Rural communities represent a significant portion of underserved and underrepresented individuals facing additional barriers to diagnosis and treatment. Primary care providers (PCPs) at local clinics, though sometimes suspicious of a potential benefit of genetic testing for their patients, have significant constraints in pursuing it themselves and rely on referrals to specialists. Yet, these referrals are typically followed by long waitlists and significant delays in clinical assessment, insurance clearance, testing, and initiation of diagnosis-informed care management. Not only is this process time intensive, but it also often requires multiple visits to urban medical centers for which distance may be a significant barrier to rural families. Therefore, providing early, "direct-to-provider" (DTP) local access to unrestrictive genomic testing is likely to help speed up diagnostic times and access to care for RD patients in rural communities. In a pilot study with a PCP clinic in rural Kansas, we observed a minimum 5.5 months shortening of time to diagnosis through the DTP exome sequencing program as compared to rural patients receiving genetic testing through the "traditional" PCP-referral-to-specialist scheme. We share our experience to encourage future partnerships beyond our center. Our efforts represent just one step in fostering greater diversity and equity in genomic studies.

Understanding the relationship between intergenerational mobility and community violence.

Violence is a key mechanism in the reproduction of community disadvantage. The existing evidence indicates that violence in a community impacts the intergenerational mobility of its residents. The current study explores the possibility of a reverse relationship. This study provisionally tests the hypothesis that depressed intergenerational mobility in a community may also spark subsequent community violence. We deploy a county measure of intergenerational mobility captured during early adulthood for a cohort of youth born between 1980 and 1986 and raised in low-income families [R. Chetty, N. Hendren, Quart. J. Econom. 133, 1163-1228 (2018)]. We model the relationship between county mobility scores and two county-level outcomes: violent crime and homicide. We find that a county's level of intergenerational mobility as measured by the Chetty-Hendren data is a major predictor of its rate of violent crime and homicide in 2008, when the youth in Chetty's mobility cohort were young adults (the same age the mobility measure was captured). In fact, mobility is a significantly stronger and more consistent predictor of community violent crime and homicide rates than more commonly used factors like poverty, inequality, unemployment, and law enforcement presence.

Excess natural-cause mortality in US counties and its association with reported COVID-19 deaths.

In the United States, estimates of excess deaths attributable to the COVID-19 pandemic have consistently surpassed reported COVID-19 death counts. Excess deaths reported to non-COVID-19 natural causes may represent unrecognized COVID-19 deaths, deaths caused by pandemic health care interruptions, and/or deaths from the pandemic's socioeconomic impacts. The geographic and temporal distribution of these deaths may help to evaluate which explanation is most plausible. We developed a Bayesian hierarchical model to produce monthly estimates of excess natural-cause mortality for US counties over the first 30 mo of the pandemic. From March 2020 through August 2022, 1,194,610 excess natural-cause deaths occurred nationally [90% PI (Posterior Interval): 1,046,000 to 1,340,204]. A total of 162,886 of these excess natural-cause deaths (90% PI: 14,276 to 308,480) were not reported to COVID-19. Overall, 15.8 excess deaths were reported to non-COVID-19 natural causes for every 100 reported COVID-19 deaths. This number was greater in nonmetropolitan counties (36.0 deaths), the West (Rocky Mountain states: 31.6 deaths; Pacific states: 25.5 deaths), and the South (East South Central states: 26.0 deaths; South Atlantic states: 25.0 deaths; West South Central states: 24.2 deaths). In contrast, reported COVID-19 death counts surpassed estimates of excess natural-cause deaths in metropolitan counties in the New England and Middle Atlantic states. Increases in reported COVID-19 deaths correlated temporally with increases in excess deaths reported to non-COVID-19 natural causes in the same and/or prior month. This suggests that many excess deaths reported to non-COVID-19 natural causes during the first 30 mo of the pandemic in the United States were unrecognized COVID-19 deaths.

Biodiversity and infrastructure interact to drive tourism to and within Costa Rica.

SignificanceTourism accounts for roughly 10% of global gross domestic product, with nature-based tourism its fastest-growing sector in the past 10 years. Nature-based tourism can theoretically contribute to local and sustainable development by creating attractive livelihoods that support biodiversity conservation, but whether tourists prefer to visit more biodiverse destinations is poorly understood. We examine this question in Costa Rica and find that more biodiverse places tend indeed to attract more tourists, especially where there is infrastructure that makes these places more accessible. Safeguarding terrestrial biodiversity is critical to preserving the substantial economic benefits that countries derive from tourism. Investments in both biodiversity conservation and infrastructure are needed to allow biodiverse countries to rely on tourism for their sustainable development.

Disparities in Allergy and Asthma Prevalence Among School Teachers.

BACKGROUND: Evidence suggests that school factors influence the prevalence of allergic diseases in students. However, very little is known about how such factors affect the health of teachers. OBJECTIVE: We sought to compare the prevalence of allergic and respiratory conditions among teachers from urban, suburban, and rural schools. METHODS: Electronic survey data were collected from a random sample of Pre-Kindergarten through Grade 12 teachers in Massachusetts. Comparisons were made between teacher demographics and allergic respiratory symptoms. RESULTS: Of the 398 respondents, median age was 45 years (SD 12.32). 71.8% of teachers taught in suburban schools, 76.6% were female, and 87.1% were White, similar to teacher demographics collected by the Massachusetts Department of Higher Education. Although there were more female teachers, males more frequently reported adverse breathing symptoms, such as wheezing (P=0.007). Over half of rural teachers (54.54%) experienced respiratory symptoms such as disrupted sleep due to coughing compared to 34.61% of suburban schoolteachers (P=0.03). Almost half (48.26%) of public schoolteachers experienced exercise-induced chest pain compared to 37.03% of private schoolteachers (p=0.05). A higher proportion of urban school teachers with asthma commonly missed school due to food allergy compared to suburban and rural schoolteachers with asthma (P=0.02). In teachers undiagnosed with asthma, associations existed between school absences and nighttime awakening due to trouble breathing (P < 0.0001), persistent cough (P = 0.002), and sore throat (P<0.0001) CONCLUSIONS: Rural and public teachers reported proportionately more respiratory symptoms compared to suburban and private teachers, suggesting disparities. Future studies towards evidence-based solutions are needed.

The impact of Zika emergence in remote communities in northwestern Ecuador.

The Zika virus (ZIKV) epidemic in Latin America (2015-2016) has primarily been studied in urban centers, with less understanding of its impact on smaller rural communities. To address this gap, we analyzed ZIKV sero-epidemiology in six rural Ecuadorian communities (2018-2019) with varying access to a commercial hub. Seroprevalence ranged from 19% to 54% measured by NS1 blockade of binding ELISA. We observed a decline in ZIKV seroprevalence between 2018 and 2019 that was greater among younger populations, suggesting that the attack rates in the 2015-16 epidemic were significantly higher than our 2018 observations. These data indicate that the 2015-16 epidemic included significant transmission in rural and more remote settings. Our observations of high seroprevalence in our area of study highlights the importance of surveillance and research in rural areas lacking robust health systems to manage future Zika outbreaks and vaccine initiatives.

Rural Hospital Performance in Guideline-Recommended Ischemic Stroke Thrombolysis, Secondary Prevention, and Outcomes.

BACKGROUND: Existing data suggested a rural-urban disparity in thrombolytic utilization for ischemic stroke. Here, we examined the use of guideline-recommended stroke care and outcomes in rural hospitals to identify targets for improvement. METHODS: This retrospective cohort study included patients (aged ≥18 years) treated for acute ischemic stroke at Get With The Guidelines-Stroke hospitals from 2017 to 2019. Multivariable mixed-effect logistic regression was used to compare thrombolysis rates, speed of treatment, secondary stroke prevention metrics, and outcomes after adjusting for patient- and hospital-level characteristics and stroke severity. RESULTS: Among the 1 127 607 patients admitted to Get With The Guidelines-Stroke hospitals in 2017 to 2019, 692 839 patients met the inclusion criteria. Patients who presented within 4.5 hours were less likely to receive thrombolysis in rural stroke centers compared with urban stroke centers (31.7% versus 43.5%; adjusted odds ratio [aOR], 0.72 [95% CI, 0.68-0.76]) but exceeded rural nonstroke centers (22.1%; aOR, 1.26 [95% CI, 1.15-1.37]). Rural stroke centers were less likely than urban stroke centers to achieve door-to-needle times of ≤45 minutes (33% versus 44.7%; aOR, 0.86 [95% CI, 0.76-0.96]) but more likely than rural nonstroke centers (aOR, 1.24 [95% CI, 1.04-1.49]). For secondary stroke prevention metrics, rural stroke centers were comparable to urban stroke centers but exceeded rural nonstroke centers (aOR of 1.66, 1.94, 2.44, 1.5, and 1.72, for antithrombotics within 48 hours of admission, antithrombotics at discharge, anticoagulation for atrial fibrillation/flutter, statin treatment, and smoking cessation, respectively). In-hospital mortality was similar between rural and urban stroke centers (aOR, 1.11 [95% CI, 0.99-1.24]) or nonstroke centers (aOR, 1.00 [95% CI, 0.84-1.18]). CONCLUSIONS: Rural hospitals had lower thrombolysis utilization and slower treatment times than urban hospitals. Rural stroke centers provided comparable secondary stroke prevention treatment to urban stroke centers and exceeded rural nonstroke centers. These results reveal important opportunities and specific targets for rural health equity interventions.

Associations between Minority Health Social Vulnerability Index Scores, Rurality, and Histoplasmosis Incidence, 8 US States.

To explore associations between histoplasmosis and race and ethnicity, socioeconomic status, and rurality, we conducted an in-depth analysis of social determinants of health and histoplasmosis in 8 US states. Using the Minority Health Social Vulnerability Index (MH SVI), we analyzed county-level histoplasmosis incidence (cases/100,000 population) from the 8 states by applying generalized linear mixed hurdle models. We found that histoplasmosis incidence was higher in counties with limited healthcare infrastructure and access as measured by the MH SVI and in more rural counties. Other social determinants of health measured by the MH SVI tool either were not significantly or were inconsistently associated with histoplasmosis incidence. Increased awareness of histoplasmosis, more accessible diagnostic tests, and investment in rural health services could address histoplasmosis-related health disparities.

Outcome of early detection approach in control of breast, cervical, and oral cancer: Experience from a rural cancer center in India.

In low- and middle-income countries most of the cancer patients attend the hospital at a late stage and treatment completion of these cases is challenging. The early detection program (EDP), in rural areas of Punjab state, India was initiated to identify breast, cervical, and oral cancer at an early stage by raising awareness and providing easy access to diagnosis and treatment. A total of 361 health education programs and 99 early detection clinics were organized. The symptomatic and self-interested (non-symptomatic individuals who opted for screening) cases visited the detection clinic. They were screened for breast, cervical, and/or oral cancer. Further diagnosis and treatment of screen-positive cases were carried out at Homi Bhabha Cancer Hospital (HBCH), Sangrur. Community leaders and healthcare workers were involved in all the activities. The EDP, Sangrur removed barriers between cancer diagnosis and treatment with the help of project staff. From 2019 to 2023, a total of 221,317 populations were covered. Symptomatic and self-interested individuals attended the breast (1627), cervical (1601), and oral (1111) examinations. 46 breast (in situ-4.3%; localized-52.2%), 9 cervical (localized-77.8%), and 12 oral (localized-66.7%) cancer cases were detected, and treatment completion was 82.6%, 77.8%, and 50.0%, respectively. We compared cancer staging and treatment completion of cases detected through EDP with the cases attended HBCH from Sangrur district in 2018; the difference between two groups is statistically significant. Due to the early detection approach, there is disease down-staging and improvement in treatment completion. This approach is feasible and can be implemented to control these cancers in low- and middle-income countries.

Development of A Rural-Urban Classification System for Public Health Research that Accommodates Structural Differences Between States.

Rural environments in the United States present challenges to wellness, but there is a lack of tools to categorize rurality at the subcounty level. The most common tool, the FDA's 2010 RUCA codes, uses data that are over a decade old and cannot accommodate regional differences in rurality. The purpose of this study was to develop a census-tract classification system of rurality and demonstrate its use in describing HIV outcomes. We transformed census-tract measures (population density, natural resource workforce, walkability index, household type, and air quality) into local scales of rurality using factor analysis. We surveyed public health practitioners to determine cut-points and compared the resulting categorization to RUCA codes. We described the incidence of HIV in WA by rural category. Our classification system categorized 25% of census tracts as rural, 19% as periurban and 56% as urban. Our survey yielded cut-offs that were more conservative in categorizing areas urban than RUCA codes. The rate of HIV diagnosis was substantially higher in urban areas. Our rural-urban classification system offers an alternative to RUCA codes that is more responsive to regional differences.

Urban-rural disparities in the short-term effects of cold and heat on myocardial infarction mortality in Anhui Province, China.

Non-optimal ambient temperatures are risk factors for myocardial infarction (MI) and urban-rural temperature differences in the context of climate change may have caused and will lead to differential association between temperature and MI. We collected daily mean temperature and daily MI deaths from 1 January 2016 to 31 December 2020 in Anhui Province, China. A distributed lag nonlinear model was performed to estimate the area-specific association of heat and cold (defined as the 2.5th and 97.5th percentile of the daily mean temperature) with MI mortality; the random-effects meta-analysis was then used to pool the effects of cold and heat. We found the risk of MI death due to cold was higher in rural areas [relative risk (RR): 1.13, 95% confidence interval (CI): 1.02-1.26, lag0) than in urban areas (RR: 0.99, 95% CI: 0.80-1.21, lag0), whereas the risk of MI death associated with heat was higher in urban areas (RR: 1.14, 95% CI: 1.03-1.27, lag0) than in rural areas (RR: 1.04, 95% CI: 0.99-1.10, lag0). Our findings may help to develop targeted protective strategies to reduce the adverse effects of cold and heat on cardiovascular disease.

SARS-CoV-2 incidence, seroprevalence, and antibody dynamics in a rural, population-based cohort: March 2020 - July 2022.

Studies of SARS-CoV-2 incidence are important for response to continued transmission and future pandemics. We followed a rural community cohort with broad age representation with active surveillance for SARS-CoV-2 identification from November 2020 through July 2022. Participants provided serum specimens at regular intervals and following SARS-CoV-2 infection or vaccination. We estimated the incidence of SARS-CoV-2 infection identified by study RT-PCR, electronic health record documentation or self-report of a positive test, or serology. We also estimated the seroprevalence of SARS-CoV-2 spike and nucleocapsid antibodies measured by ELISA. Overall, 65% of the cohort had ≥1 SARS-CoV-2 infection by July 2022, and 19% of those with primary infection were reinfected. Infection and vaccination contributed to high seroprevalence, 98% (95% CI: 95%, 99%) of participants were spike or nucleocapsid seropositive at the end of follow-up. Among those seropositive, 82% were vaccinated. Participants were more likely to be seropositive to spike than nucleocapsid following infection. Infection among seropositive individuals could be identified by increases in nucleocapsid, but not spike, ELISA optical density values. Nucleocapsid antibodies waned more quickly after infection than spike antibodies. High levels of SARS-CoV-2 population immunity, as found in this study, are leading to changing epidemiology necessitating ongoing surveillance and policy evaluation.

Factors contributing to differences in cervical cancer screening in rural and urban community health centers.

INTRODUCTION: Community health centers (CHCs) provide historically marginalized populations with primary care, including cancer screening. Previous studies have reported that women living in rural areas are less likely to be up to date with cervical cancer screening than women living in urban areas. However, little is known about rural-urban differences in cervical cancer screening in CHCs and the contributing factors, and whether such differences changed during the COVID-19 pandemic. METHODS: Using 8-year pooled Uniform Data System (2014-2021) data and Oaxaca-Blinder decomposition, the extent to which CHC- and catchment area-level characteristics explained rural-urban differences in up-to-date cervical cancer screening was estimated. RESULTS: Up-to-date cervical cancer screening was lower in rural CHCs than urban CHCs (38.2% vs 43.0% during 2014-2019), and this difference increased during the pandemic (43.5% vs 49.0%). The rural-urban difference in cervical cancer screening in 2014-2019 was mostly explained by differences in CHC-level proportions of patients with limited English proficiency (55.9%) or income below the poverty level (12.3%) and females aged 21 to 64 years (9.8%), and catchment area-level's unemployment (3.4%) and primary care physician density (3.2%). However, Medicaid (-48.5%) or no insurance (-19.6%) counterbalanced the differences between rural-urban CHCs. The contribution of these factors to rural-urban differences in cervical cancer screening generally increased in 2020-2021. CONCLUSIONS: Rural-urban differences in cervical cancer screening were mostly explained by multiple CHC-level and catchment area-level characteristics. The findings call for tailored interventions, such as providing resources and language services, to improve cancer screening utilization among uninsured, Medicaid, and patients with limited English proficiency in rural CHCs.

Understanding the burden of colorectal cancer in a three-county rural region of Michigan: an ecological analysis of incidence, mortality, and risk factors.

PURPOSE: Our aim was to identify whether known colorectal cancer (CRC) risk factors contribute to the high CRC burden in Michigan's Thumb region, a 3-county agricultural rural area in eastern Michigan. METHODS: We examined county-level invasive CRC incidence and mortality rates (2000-2017) from the Michigan Cancer Surveillance Program and county-level data on CRC risk factors from publicly available datasets. Prevalence of CRC risk factors in the Thumb region were compared to Michigan's other rural and urban regions using ANOVA (Analysis of Variance) tests. Multivariable linear regression models with stepwise selection were used to assess whether living in the Thumb region was associated with increased CRC incidence, mortality, and late-stage diagnoses after accounting for other risk factors. RESULTS: Living in the Thumb region (ß = 10.4, p = 0.0003), obesity (ß = 36.9, p = 0.04), and an unhealthy food environment (ß = - 2.7, p = 0.003) were associated with higher CRC incidence. Smoking (ß = 67.3, p < 0.0001), being uninsured (ß = - 29.9%, p = 0.03), living in the Thumb region (ß = 2.47, p = 0.03), lower colonoscopy screening (ß = - 0.14, p = 0.01), and older age (ß = 0.11, p = 0.006) were associated with higher CRC mortality. The percent of late-staged CRC diagnoses was significantly lower in the Thumb region than other rural and urban areas of the state (52.9%, 58.3%, and 54.6%, respectively, p = 0.03). CONCLUSION: Findings suggest that living in Michigan's Thumb region is associated with higher CRC incidence and mortality compared to Michigan's other rural and urban regions, even after controlling for known risk factors. More studies on individual-level demographic, environmental, tumor, and treatment characteristics (e.g., treatment differences, water quality, pesticide use) are needed to further characterize these findings.

Evaluating variations in the barriers to colorectal cancer screening associated with telehealth use in rural U.S. Pacific Northwest.

PURPOSE: The incidence and mortality rates of colorectal cancer (CRC) remain consistently high in rural populations. Telehealth can improve screening uptake by overcoming individual and environmental disadvantages in rural communities. The present study aimed to characterize varying barriers to CRC screening between rural individuals with and without experience in using telehealth. METHOD: The cross-sectional study surveyed 250 adults aged 45-75 residing in rural U.S. states of Alaska, Idaho, Oregon, and Washington from June to September 2022. The associations between CRC screening and four sets of individual and environmental factors specific to rural populations (i.e., demographic characteristics, accessibility, patient-provider factors, and psychological factors) were assessed among respondents with and without past telehealth adoption. RESULT: Respondents with past telehealth use were more likely to screen if they were married, had a better health status, had experienced discrimination in health care, and had perceived susceptibility, screening efficacy, and cancer fear, but less likely to screen when they worried about privacy or had feelings of embarrassment, pain, and discomfort. Among respondents without past telehealth use, the odds of CRC screening decreased with busy schedules, travel burden, discrimination in health care, and lower perceived needs. CONCLUSION: Rural individuals with and without previous telehealth experience face different barriers to CRC screening. The finding suggests the potential efficacy of telehealth in mitigating critical barriers to CRC screening associated with social, health care, and built environments of rural communities.

Trends in pancreatic cancer mortality in the United States 1999-2020: a CDC database population-based study.

INTRODUCTION: Pancreatic cancer is a significant public health concern and a leading cause of cancer-related deaths worldwide. This study aimed to investigate pancreatic cancer mortality trends and disparities in the United States (US) from 1999 to 2020. METHODS: Data were obtained from the Centers for Disease Control (CDC) Wide-Ranging Online Data for Epidemiologic Research database. Mortality rates were age-adjusted and standardized to the year 2000 US population. Joinpoint regression was used to analyze temporal trends in age-adjusted mortality rates (AAMRs) by sociodemographic and geographic variables. RESULTS: Between 1999 and 2020, pancreatic cancer led to a total of 810,628 deaths in the US, an average mortality of nearly 39,000 deaths per year. The AAMR slightly increased from 10.6 in 1999 to 11.1 in 2020, with an associated annual percent change (APC) of 0.2. Mortality rates were highest among individuals aged 65 and older. Black individuals experienced the highest overall pancreatic cancer-related AAMR at 13.8. Despite this, Black individuals experienced a decreasing mortality trend over time (APC -0.2) while White individuals experienced an increasing trend in mortality (APC 0.4). Additionally, individuals residing in rural areas experienced steeper rates of mortality increase than those living in urban areas (APC 0.6 for rural vs -0.2 for urban). White individuals in urban and rural populations experienced an increase in mortality, while Black individuals in urban environments experienced a decrease in mortality, and Black individuals in rural environments experienced stable mortality trends. CONCLUSIONS: Mortality from pancreatic cancer continues to increase in the US, with racial and regional disparities identified in minorities and rural-dwelling individuals. These disparate findings highlight the importance of ongoing efforts to understand and address pancreatic cancer treatment and outcomes disparities in the US, and future studies should further investigate the underlying etiologies of these disparities and potential for novel therapies to reduce the mortality.

Investigating the role of county-level colorectal cancer screening rates on stage at diagnosis of colorectal cancer in rural Georgia.

BACKGROUND: To examine the impact of county-level colorectal cancer (CRC) screening rates on stage at diagnosis of CRC and identify factors associated with stage at diagnosis across different levels of screening rates in rural Georgia. METHODS: We performed a retrospective analysis utilizing data from 2004 to 2010 Surveillance, Epidemiology, and End Results Program. The 2013 United States Department of Agriculture rural-urban continuum codes were used to identify rural Georgia counties. The 2004-2010 National Cancer Institute small area estimates for screening behaviors were applied to link county-level CRC screening rates. Descriptive statistics and multinominal logistic regressions were performed. RESULTS: Among 4,839 CRC patients, most patients diagnosed with localized CRC lived in low screening areas; however, many diagnosed with regionalized and distant CRC lived in high screening areas (p-value = 0.009). In multivariable analysis, rural patients living in high screening areas were 1.2-fold more likely to be diagnosed at a regionalized and distant stage of CRC (both p-value < 0.05). When examining the factors associated with stage at presentation, Black patients who lived in low screening areas were 36% more likely to be diagnosed with distant diseases compared to White patients (95% CI, 1.08-1.71). Among those living in high screening areas, patients with right-sided CRC were 38% more likely to have regionalized disease (95% CI, 1.09-1.74). CONCLUSION: Patients living in high screening areas were more likely to have a later stage of CRC in rural Georgia. IMPACT: Allocating CRC screening/treatment resources and improving CRC risk awareness should be prioritized for rural patients in Georgia.

Impact of Telemedicine on Access to Care for Rural Transgender and Gender-Diverse Youth.

OBJECTIVE: To explore the impact of telemedicine on access to gender-affirming care for rural transgender and gender diverse youth. STUDY DESIGN: A retrospective analysis of data drawn from the electronic medical records of a clinic that provides approximately 10 000 adolescent and young adult visits per year and serves patients seeking gender health care. The no-show rate was examined as a proxy for access to care due to anticipated challenges with recruiting a representative sample of a historically marginalized population. Logistic regression with generalized estimating equations was conducted to model the association between the odds of a no-show visit and covariates of interest. RESULTS: Telemedicine visits, rural home address, gender health visits, longer travel time, and being younger than 18 years old were associated with lower odds of a no-show in univariate models (n = 17 928 visits). In the adjusted model, the OR of no-shows for gender health visits was 0.56 (95% CI 0.42-0.74), adjusting for rurality, telemedicine, age (< or >18 years), and travel time to the clinic. CONCLUSIONS: In this study, telemedicine was associated with reduced no-shows overall, and especially for rural, transgender and gender diverse youth, and patients who hold both identities. Although the no-show rate does not fully capture barriers to access, these findings provide insight into how this vulnerable population may benefit from expanded access to telemedicine for rural individuals whose communities may lack providers with the skills to serve this population.

Predictors of engagement in screening for a hepatitis C virus (HCV) treatment trial in a rural Appalachian community.

An HCV treatment trial was initiated in September 2019 to address the opioid/hepatitis C virus (HCV) syndemic in rural Kentucky. The focus of the current analysis is on participation in diagnostic screening for the trial. Initial eligibility (≥18 years of age, county resident) was established by phone followed by in-person HCV viremia testing. 900 rural residents met the inclusion criteria and comprised the analytic sample. Generalized linear models were specified to estimate the relative risk of non-attendance at the in-person visit determining HCV eligibility. Approximately one-quarter (22.1%) of scheduled participants were no-shows. People who inject drugs were no more likely than people not injecting drugs to be a no-show; however, participants ≤35 years of age were significantly less likely to attend. While the median time between phone screening and scheduled in-person screening was only 2 days, each additional day increased the odds of no-show by 3% (95% confidence interval: 2%-3%). Finally, unknown HCV status predicted no-show even after adjustment for age, gender, days between screenings and injection status. We found that drug injection did not predict no-show, further justifying expanded access to HCV treatment among people who inject drugs. Those 35 years and younger were more likely to no-show, suggesting that younger individuals may require targeted strategies for increasing testing and treatment uptake. Finally, streamlining the treatment cascade may also improve outcomes, as participants in the current study were more likely to attend if there were fewer days between phone screening and scheduled in-person screening.

Urbanization reduces gut bacterial microbiome diversity in a specialist ground beetle, Carabus convexus.

Urbanization is rapidly shaping and transforming natural environments, creating networks of modified land types. These urbanization-driven modifications lead to local extinctions of several species, but the surviving ones also face numerous novel selection pressures, including exposure to pollutants, habitat alteration, and shifts in food availability and diversity. Based on the assumption that the environmental pool of microorganisms is reduced in urban habitats due to habitat alteration, biodiversity loss, and pollution, we hypothesized that the diversity of bacterial microbiome in digestive tracts of arthropods would be lower in urban than rural habitats. Investigating the gut bacterial communities of a specialist ground beetle, Carabus convexus, in forested rural versus urban habitats by next generation high-throughput sequencing of the bacterial 16S rRNA gene, we identified 3839 bacterial amplicon sequence variants. The composition of gut bacterial samples did not significantly differ by habitat (rural vs. urban), sex (female vs. male), sampling date (early vs. late spring), or their interaction. The microbiome diversity (evaluated by the Rényi diversity function), however, was higher in rural than urban adults. Our findings demonstrate that urbanization significantly reduced the diversity of the gut bacterial microbiome in C. convexus.