Differing Within-Household Food Security Statuses Are Associated with Varied Maternal Mental Health Outcomes.

Household food insecurity is not necessarily equally experienced by all household members, with mothers often changing their intake first when food resources are limited. The purpose of this study was to understand the association between maternal mental health and intrahousehold differences in food security statuses. A cross-sectional survey was administered to Virginia mothers with low income (August-October 2021), assessing validated measures of food security, mental and physical health and related factors. Participants (n = 570) were grouped according to the food security status of adults and children within the household. Linear regression was used to assess the outcomes of interest by group and controlled for key demographic variables. Mothers in households with any food insecurity reported worse overall mental health and used 3-4 more food coping strategies than households experiencing food security (p < 0.05). Only mothers in households where adults experienced food insecurity reported significantly greater anxiety and depressive symptoms (61.5 and 58.1, respectively) compared to households experiencing food security (55.7 and 52.4, p < 0.001). While any experience of household food insecurity is associated with worse maternal mental health, there were differences by the within-household food security status. Future research should explore screening measures that capture specific household members' food security to connect households with available resources.

Drinking water sources, quality, and associated health outcomes in Appalachian Virginia: A risk characterization study in two counties.

OBJECTIVES: In the US, violations of drinking water regulations are highest in lower-income rural areas overall, and particularly in Central Appalachia. However, data on drinking water use, quality, and associated health outcomes in rural Appalachia are limited. We sought to assess public and private drinking water sources and associated risk factors for waterborne pathogen exposures for individuals living in rural regions of Appalachian Virginia. METHODS: We administered surveys and collected tap water, bottled water, and saliva samples in lower-income households in two adjacent rural counties in southwest Virginia (bordering Kentucky and Tennessee). Water samples were tested for pH, temperature, conductivity, total coliforms, E. coli, free chlorine, nitrate, fluoride, heavy metals, and specific pathogen targets. Saliva samples were analyzed for antibody responses to potentially waterborne infections. We also shared water analysis results with households. RESULTS: We enrolled 33 households (83 individuals), 82% (n = 27) with utility-supplied water and 18% with private wells (n = 3) or springs (n = 3). 58% (n = 19) reported household incomes of <$20,000/year. Total coliforms were detected in water samples from 33% (n = 11) of homes, E. coli in 12%, all with wells or springs (n = 4), and Aeromonas, Campylobacter, and Enterobacter in 9%, all spring water (n = 3). Diarrhea was reported for 10% of individuals (n = 8), but was not associated with E. coli detection. 34% (n = 15) of saliva samples had detectable antibody responses for Cryptosporidium spp., C. jejuni, and Hepatitis E. After controlling for covariates and clustering, individuals in households with septic systems and straight pipes had significantly higher likelihoods of antibody detection (risk ratios = 3.28, 95%CI = 1.01-10.65). CONCLUSIONS: To our knowledge, this is the first study to collect and analyze drinking water samples, saliva samples, and reported health outcome data from low-income households in Central Appalachia. Our findings indicate that utility-supplied water in this region was generally safe, and individuals in low-income households without utility-supplied water or sewerage have higher exposures to waterborne pathogens.

The Chickahominy T.R.U.T.H. (Trust, Research, Understand, Teach, and Heal) Project-A Tribal Community-Academic Partnership for Understanding the Impact of Structural Factors on Perceived Cancer Risk in Rural Virginia.

In 2022, the Virginia Chickahominy Indian Tribe partnered with Virginia Commonwealth University Massey Comprehensive Cancer Center to investigate concerns about a potential cancer cluster near a local landfill. While investigating cancer clusters is complex due to long latency and multifactorial causes, the community's concerns about structural factors driving cancer risk warrant exploration. Thus, the Chickahominy T.R.U.T.H. (Trust, Research, Understand, Teach, and Heal) Project was created as a community-academic partnership to (1) identify structural factors and barriers associated with perceived cancer risk and care; (2) assess cancer knowledge, care access gaps, and perceived risks, including testing private and community water sources; (3) develop and deploy culturally tailored cancer education and resource navigation, including groundwater safety education, policies, and remediation. We will conduct 150 in-person interviews and water tests among residents within a four-mile radius of the landfill, and deploy 1000 structured questionnaires among Charles City County residents. In this paper, we provide an overview of the ongoing project design, development, and progress in support of the project's objectives. This collaborative investigation aims to address cancer health disparities, enhance research and health policy advocacy, and honor the sacred knowledge of an underserved community, laying the groundwork for a long-term partnership to guide future research questions.

Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections.

Scenario-based modeling frameworks have been widely used to support policy-making at state and federal levels in the United States during the COVID-19 response. While custom-built models can be used to support one-off studies, sustained updates to projections under changing pandemic conditions requires a robust, integrated, and adaptive framework. In this paper, we describe one such framework, UVA-adaptive, that was built to support the CDC-aligned Scenario Modeling Hub (SMH) across multiple rounds, as well as weekly/biweekly projections to Virginia Department of Health (VDH) and US Department of Defense during the COVID-19 response. Building upon an existing metapopulation framework, PatchSim, UVA-adaptive uses a calibration mechanism relying on adjustable effective transmissibility as a basis for scenario definition while also incorporating real-time datasets on case incidence, seroprevalence, variant characteristics, and vaccine uptake. Through the pandemic, our framework evolved by incorporating available data sources and was extended to capture complexities of multiple strains and heterogeneous immunity of the population. Here we present the version of the model that was used for the recent projections for SMH and VDH, describe the calibration and projection framework, and demonstrate that the calibrated transmissibility correlates with the evolution of the pathogen as well as associated societal dynamics.

Evaluation of contingency actions to control the spread of raccoon rabies in Ohio and Virginia.

The raccoon (Procyon lotor) variant of the rabies virus (RRV) is enzootic in the eastern United States and oral rabies vaccination (ORV) is the primary strategy to prevent and control landscape spread. Breaches of ORV management zones occasionally occur, and emergency "contingency" actions may be implemented to enhance local control. Contingency actions are an integral part of landscape-scale wildlife rabies management but can be very costly and routinely involve enhanced rabies surveillance (ERS) around the index case. We investigated two contingency actions in Ohio (2017-2019 and 2018-2021) and one in Virginia (2017-2019) using a dynamic, multi-method occupancy approach to examine relationships between specific management actions and RRV occurrence, including whether ERS was sufficient around the index case. The RRV occupancy was assessed seasonally at 100-km2 grids and we examined relationships across three spatial scales (regional management zone, RRV free regions, and local contingency areas). The location of a grid relative to the ORV management zone was the strongest predictor of RRV occupancy at the regional scale. In RRV free regions, the neighbor effect and temporal variability were most important in influencing RRV occupancy. Parenteral (hand) vaccination of raccoons was important across all three contingency action areas, but more influential in the Ohio contingency action areas where more raccoons were hand vaccinated. In the Virginia contingency action area, ORV strategies were as important in reducing RRV occupancy as a hand vaccination strategy. The management action to trap, euthanize, and test (TET) raccoons was an important method to increase ERS, yet the impacts of TET on RRV occupancy are not clear. The probability of detecting additional cases of RRV was exceptionally high (>0.95) during the season the index case occurred. The probability of detecting RRV through ERS declined in the seasons following initial TET efforts but remained higher after the contingency action compared to the ERS detection probabilities prior to index case incidence. Local RRV cases were contained within one year and eliminated within 2-3 years of each contingency action.

Geographic Variation and Environmental Predictors of Nontuberculous Mycobacteria in Laboratory Surveillance, Virginia, USA, 2021-20231.

Because epidemiologic and environmental risk factors for nontuberculous mycobacteria (NTM) have been reported only infrequently, little information exists about those factors. The state of Virginia, USA, requires certain ecologic features to be included in reports to the Virginia Department of Health, presenting a unique opportunity to study those variables. We analyzed laboratory reports of Mycobacterium avium complex (MAC) and M. abscessus infections in Virginia during 2021-2023. MAC/M. abscessus was isolated from 6.19/100,000 persons, and 2.37/100,000 persons had MAC/M. abscessus lung disease. M. abscessus accounted for 17.4% and MAC for 82.6% of cases. Saturated vapor pressure was associated with MAC/M. abscessus prevalence (prevalence ratio 1.414, 95% CI 1.011-1.980; p = 0.043). Self-supplied water use was a protective factor (incidence rate ratio 0.304, 95% CI 0.098-0.950; p = 0.041). Our findings suggest that a better understanding of geographic clustering and environmental water exposures could help develop future targeted prevention and control efforts.

Monitoring and Characteristics of Mpox Contacts, Virginia, USA, May-November 2022.

During 2022, a global outbreak of mpox resulted primarily from human-to-human contact. The Virginia Department of Health (Richmond, VA, USA) implemented a contact tracing and symptom monitoring system for residents exposed to monkeypox virus, assessed their risk for infection, and offered interventions as needed. Among 991 contacts identified during May 1-November 1, 2022, import records were complete for 943 (95.2%), but 99 (10.0%) were not available for follow-up during symptom monitoring. Mpox developed in 28 (2.8%) persons; none were healthcare workers exposed at work (n = 275). Exposure risk category and likelihood of developing mpox were strongly associated. A total of 333 persons received >1 dose of JYENNOS (Bavarian Nordic, https://www.bavarian-nordic.com) vaccine, most (n = 295) administered after virus exposure. Median time from exposure to vaccination was 8 days. Those data tools provided crucial real-time information for public health responses and can be used as a framework for other emerging diseases.

Trends in the Use of Recombinant Activated Factor VII and Prothrombin Complex Concentrate in Heart Transplant Patients in Virginia.

OBJECTIVES: To explore trends in intraoperative procoagulant factor concentrate use in patients undergoing heart transplantation (HTx) in Virginia. Secondarily, to evaluate their association with postoperative thrombosis. DESIGN: Patients who underwent HTx were identified using a statewide database. Trends in off-label recombinant activated factor VII (rFVIIa) use and on-label and off-label prothrombin complex concentrate (PCC) use were tested using the Mantel-Haenszel test. Multivariate logistic regression was used to test for an association between procoagulant factor concentrate administration and thrombosis. SETTING: Virginia hospitals performing HTx. PARTICIPANTS: Adults undergoing HTx between 2012 and 2022. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among 899 patients who required HTx, 100 (11.1%) received off-label rFVIIa, 69 (7.7%) received on-label PCC, and 80 (8.9%) received off-label PCC. There was a downward trend in the use of rFVIIa over the 10-year period (p = 0.04). There was no trend in on-label PCC use (p = 0.12); however, there was an increase in off-label PCC use (p < 0.001). Patients who received rFVIIa were transfused more and had longer cardiopulmonary bypass time (p < 0.001). Receipt of rFVIIa was associated with increased thrombotic risk (odds ratio [OR] 1.92; 95% CI 1.12-3.29; p = 0.02), whereas on-label and off-label PCC use had no association with thrombosis (OR 0.98, 95% CI 0.49-1.96, p = 0.96 for on-label use; and OR 0.61, 95% CI 0.29-1.30, p = 0.20 for off-label use). CONCLUSIONS: Use of rFVIIa in HTx decreased over the past decade, whereas off-label PCC use increased. Receipt of rFVIIa was associated with thrombosis; however, patients who received rFVIIa were more severely ill, and risk adjustment may have been incomplete.

COVID-19 related messaging, beliefs, information sources, and mitigation behaviors in Virginia: a cross-sectional survey in the summer of 2020.

Background: Conflicting messages and misleading information related to the coronavirus (COVID-19) pandemic (SARS-CoV-2) have hindered mitigation efforts. It is important that trust in evidence-based public health information be maintained to effectively continue pandemic mitigation strategies. Officials, researchers, and the public can benefit from exploring how people receive information they believe and trust, and how their beliefs influence their behaviors. Methods: To gain insight and inform effective evidence-based public health messaging, we distributed an anonymous online cross-sectional survey from May to July, 2020 to Virginia residents, 18 years of age or older. Participants were surveyed about their perceptions of COVID-19, risk mitigation behaviors, messages and events they felt influenced their beliefs and behaviors, and where they obtained information that they trust. The survey also collected socio-demographic information, including gender, age, race, ethnicity, level of education, income, employment status, occupation, changes in employment due to the pandemic, political affiliation, sexual orientation, and zip code. Analyses included specific focus on the most effective behavioral measures: wearing a face mask and distancing in public. Results: Among 3,488 respondents, systematic differences were observed in information sources that people trust, events that impacted beliefs and behaviors, and how behaviors changed by socio-demographics, political identity, and geography within Virginia. Characteristics significantly associated (p < 0.025) with not wearing a mask in public included identifying as non-Hispanic white, male, Republican political identity, younger age, lower income, not trusting national science and health organizations, believing one or more non-evidence-based messages, and residing in Southwest Virginia in logistic regression. Similar, lesser in magnitude correlations, were observed for distancing in public. Conclusions: This study describes how information sources considered trustworthy vary across different populations and identities, and how these differentially correspond to beliefs and behaviors. This study can assist decision makers and the public to improve and effectively target public health messaging related to the ongoing COVID-19 pandemic and future public health challenges in Virginia and similar jurisdictions.

Changes in buprenorphine waivered provider supply after Virginia Medicaid implements the addiction and recovery treatment services program and Medicaid expansion.

BACKGROUND: Shortages of providers authorized to prescribe buprenorphine may limit access to buprenorphine, which studies have shown to be effective in the treatment of opioid use disorder (OUD). OBJECTIVE: To examine whether two state Medicaid policies in Virginia-the Addiction and Recovery Treatment Services (ARTS) program in 2017, and Medicaid expansion in 2019-increased the number of buprenorphine waivered providers (BWP) in Virginia, compared to other southern states in the United States that did not expand Medicaid. METHODS: The study population includes providers authorized to prescribe buprenorphine. We compute the number of BWP per 100,000 people for the study states, overall and for different waiver limits (30, 100 or 275). Using difference-in-difference regression models, we examine changes in BWP rates for Virginia relative to nonexpansion states in the US South between 2015 and 2020. RESULTS: The rate of increase in BWP was higher in Virginia after implementation of ARTS and Medicaid expansion (148 %), compared to southern nonexpansion states over the same time period (115 %). Relative to nonexpansion states in the South, BWP with patient limits of 100 or 275 increased by 7 % in Virginia after ARTS implementation in 2017, and by an additional 22 % after Medicaid expansion in 2019 (p < 0.05 each). CONCLUSIONS: The findings suggest that public policies that expand access to OUD treatment services-including buprenorphine treatment-may also increase the supply of providers authorized to prescribe buprenorphine, helping to alleviate shortages of BWP providers and further increasing access to care.

Evaluation of Surveillance System Changes to Improve Detection of Disseminated Gonococcal Infections in Virginia, 2018 to 2021.

BACKGROUND: Disseminated gonococcal infection (DGI), a complication of untreated gonorrhea, is rarely reported through routine surveillance. We sought to improve local surveillance system capacity to estimate and monitor the incidence of DGI in Virginia. METHODS: We modified surveillance protocols to identify possible DGI cases using information extracted from gonorrhea case reports and performed provider follow-up using standardized case report forms to confirm DGI diagnosis and collect clinical information. Suspect cases included those with a laboratory report indicating sterile site of specimen collection (e.g., blood, synovial fluid) and/or intravenous (IV) treatment. We performed descriptive analyses to summarize the characteristics of suspect and confirmed DGIs and estimated incidence. RESULTS: After piloting protocols in 2018 to 2019, we identified 405 suspect DGI cases from 29,294 gonorrhea cases reported in 2020 to 2021 (1.4%). We initiated investigations for 298 (73.6%) of the suspect cases, received provider responses for 105 (25.9%), and confirmed 19 DGI cases (4.7%). Positive laboratory reports from nonmucosal sites were the most reliable predictor of confirmed DGI status, but most were not confirmed as DGI even when provider follow-up was successful. The confirmed and estimated incidence of DGI were 0.06% and 0.22%, respectively. Sixteen (84%) of the confirmed cases were older than 25 years, 3 (16%) were HIV positive, and approximately half were male and non-Hispanic Black. Most (15 [74%]) were hospitalized, and common manifestations included septic arthritis and bacteremia. CONCLUSIONS: We improved surveillance for DGI in Virginia while incurring minor programmatic costs. Additional efforts to improve the completeness and quality of surveillance data for DGI are needed.

Gestational Weight Gain Among Urban and Rural Pregnant Individuals Who Smoke or Quit Smoking.

INTRODUCTION: Approximately 7.2% of individuals in the U.S. smoke during pregnancy, and cessation is associated with excessive gestational weight gain (GWG). Weight gain is a common reason for not quitting smoking or relapsing. The current study aimed to characterize who is at risk for excessive GWG and determine the moderating effect of rurality given the higher smoking rates and lower access to healthcare services in these areas. METHODS: Data from the Virginia Pregnancy Risk Assessment Monitoring System (PRAMS; years 2009-2020) were used to assess the association between participant characteristics, smoking behaviors, and rurality by excessive GWG status in 2023. RESULTS: Almost half (44.0%) of participants experienced excessive GWG; 9.8% of participants quit smoking while 6.9% continued smoking. Respondents who quit during pregnancy had higher odds of excessive GWG than non-smoking respondents (OR=1.83, 95% CI: [1.24, 2.71]). Among those who were non-smoking, respondents in rural areas, compared to urban areas, had a higher probability of experiencing excessive GWG (0.46 vs 0.44, p<0.001). For those who quit smoking (0.60 vs 0.41, p<0.001) or continued to smoke during pregnancy (0.46 vs 0.33, p<0.001), urban residence was associated with a higher likelihood of excessive GWG compared to rural residence. CONCLUSIONS: Smoking cessation and weight management during pregnancy are critical to promoting infant and maternal health. Targeted interventions combining weight management and smoking cessation have been successful among the general population and could be adapted for pregnant individuals who smoke to facilitate cessation and healthy GWG in both urban and rural areas.

Outcomes of Pharmacist-Led Treatment of Hepatitis C in the Virginia Department of Corrections.

A higher proportion of people in correctional settings have, or are at risk for, hepatitis C virus (HCV) due to socioeconomic factors, mental health concerns, substance use disorders, history of high-risk experiences, and more. Compared with the general population, the prevalence of HCV is 10 times higher among people who are incarcerated. The objective of this retrospective cohort study was to describe the HCV treatment cascade in a pharmacist-led clinic model, from referral through treatment completion and documentation of cure. Pharmacists in the Virginia Department of Corrections, in collaboration with Virginia Commonwealth University, established and led a telemedicine HCV clinic. A total of 1,040 incarcerated individuals with chronic HCV infection were treated between January 2020 and January 2022. In this study, the clinical endpoint was the number of patients achieving a 12-week sustained virological response (SVR12), which is considered cure of an HCV infection. The economic endpoint was total dollars spent per patient to achieve the SVR12. Participants were HCV treatment naïve, positive for HCV genotypes 1-6, not concurrently infected with HIV, and without decompensated liver disease. The overall cure rate was 97% with no discontinuation due to adverse effects. The cost-to-cure ratio was $23,223/person achieving SVR12.

Risk factors and titers of COVID-19 infection in a longitudinal statewide seroepidemiology cohort.

BACKGROUND: Virginia is a large state in the USA, yet it remains unclear what percentage of the population has had natural COVID-19 infection and whether risk factors for infection have changed over time. METHODS: Using a longitudinal cohort, from December 2021-July 2022 we performed follow up serology and a questionnaire on 784 individuals from across Virginia who had previously participated in a statewide COVID-19 seroepidemiology study in 2020. Children were also invited to participate and an additional 62 children also completed the study. Serology was performed using Roche nucleocapsid and spike serological assays. RESULTS: The majority of participants were white (78.6%), over 50 years old (60.9%), and reported having received COVID-19 vaccine (93.4%). 28.6% had evidence of prior COVID-19 infection (nucleocapsid positive). Reweighted by region, age, and sex to match the Virginia census data, the seroprevalence of nucleocapsid antibodies was estimated to be 30.6% (95% CI: 24.7, 36.6). We estimated that 25-53% of COVID-19 infections were asymptomatic. Infection rates were lower in individuals > 60 years old and were higher in Blacks and Hispanics. Infection rates were also higher in those without health insurance, in those with greater numbers of household children, and in those that reported a close contact or having undergone quarantine for COVID-19. Participants from Southwest Virginia had lower seropositivity (16.2%, 95% CI 6.5, 26.0) than other geographic regions. Boosted vaccinees had lower infection rates than non-boosted vaccinees. Frequenting indoor bars was a risk factor for infection, while frequently wearing an N95 mask was protective, though the estimates of association were imprecise. Infection rates were higher in children than adults (56.5% vs. 28.6%). Infection in the parent was a risk factor for child infection. Spike antibody levels declined with time since last vaccination, particularly in those that were vaccinated but not previously infected. Neutralizing antibody positivity was high (97-99%) for wild type, alpha, beta, gamma, delta, and omicron variants. Neutralizing antibody levels were higher in the follow-up survey compared to the first survey in 2020 and among individuals with evidence of natural infection compared to those without. CONCLUSIONS: In this longitudinal statewide cohort we observed a lower-than-expected COVID-19 infection rate as of August 2022. Boosted vaccinees had lower infection rates. Children had higher infection rates and infections tracked within households. Previously identified demographic risk factors for infection tended to persist. Even after the omicron peak, a large number of Virginians remain uninfected with COVID-19, underscoring the need for ongoing vaccination strategies.

Exploring the influence of behavioral factors on depression and anxiety scores during the COVID-19 pandemic: insights from the Virginia statewide COVIDsmart longitudinal study.

BACKGROUND: Amidst the COVID-19 pandemic, there has been growing concern about the declining mental health and healthy behaviors compared to pre-pandemic levels. Despite this, there is a lack of longitudinal studies that have examined the relationship between health behaviors and mental health during the pandemic. In response, the statewide COVIDsmart longitudinal study was launched. The study's main objective is to better understand the effects of the pandemic on mental health. Findings may provide a foundation for the identification of public health strategies to mitigate future negative impacts of the pandemic. METHODS: Following online recruitment in spring of 2021, adults, ages 18 to 87, filled out social, mental, economic, occupational, and physical health questionnaires on the digital COVIDsmart platform at baseline and through six monthly follow-ups. Changes in the participant's four health behaviors (e.g., tobacco and alcohol consumption, physical activity, and social media use), along with sex, age, loneliness score, and reported social and economic (SE) hardships, were analyzed for within-between group associations with depression and anxiety scores using Mixed Models Repeated Measures. RESULTS: In this study, of the 669 individuals who reported, the within-between group analysis indicated that younger adults (F = 23.81, p < 0.0001), loneliness (F = 234.60, p < 0.0001), SE hardships (F = 31.25, p < 0.0001), increased tobacco use (F = 3.05, p = 0.036), decreased physical activity (F = 6.88, p = 0.0002), and both positive and negative changes in social media use (F = 7.22, p = 0.0001) were significantly associated with worse depression scores. Additionally, females (F = 6.01, p = 0.015), younger adults (F = 32.30, p < 0.0001), loneliness (F = 154.59, p < 0.0001), SE hardships (F = 22.13, p < 0.0001), increased tobacco use (F = 4.87, p = 0.004), and both positive and negative changes in social media use (F = 3.51, p = 0.016) were significantly associated with worse anxiety scores. However, no significant changes were observed in the within-between group measurements of depression and anxiety scores over time (p > 0.05). Physical activity was not associated with anxiety nor was alcohol consumption with both depression and anxiety (p > 0.05). CONCLUSIONS: This study demonstrates the longitudinal changes in behaviors within the context of the COVID-19 pandemic. These findings may facilitate the design of preventative population-based health approaches during the COVID-19 pandemic or future pandemics.

Impact of Medicaid Expansion on Abdominal Surgery Morbidity, Mortality, and Hospital Readmission.

INTRODUCTION: Medicaid expansion's (ME) impact on postoperative outcomes after abdominal surgery remains poorly defined. We aimed to evaluate ME's effect on surgical morbidity, mortality, and readmissions in a state that expanded Medicaid (Virginia) compared to a state that did not (Tennessee) over the same time period. METHODS: Virginia Surgical Quality Collaborative (VSQC) American College of Surgeons National Surgical Quality Improvement Program data for Medicaid, uninsured, and private insurance patients undergoing abdominal procedures before Virginia's ME (3/22/18-12/31/18) were compared with post-ME (1/1/19-12/31/19), as were corresponding non-ME state Tennessee Surgical Quality Collaborative (TSQC) data for the same 2018 and 2019 time periods. Postexpansion odds ratios for 30-d morbidity, 30-d mortality, and 30-d unplanned readmission were estimated using propensity score-adjusted logistic regression models. RESULTS: In Virginia, 4753 abdominal procedures, 2097 pre-ME were compared to 2656 post-ME. In Tennessee, 5956 procedures, 2484 in 2018 were compared to 3472 in 2019. VSQC's proportion of Medicaid population increased following ME (8.9% versus 18.8%, P < 0.001) while uninsured patients decreased (20.4% versus 6.4%, P < 0.001). Post-ME VSQC had fewer 30-d readmissions (12.2% versus 6.0%, P = 0.013). Post-ME VSQC Medicaid patients had significantly lower probability of morbidity (-8.18, 95% confidence interval: -15.52 ∼ -0.84, P = 0.029) and readmission (-6.92, 95% confidence interval: -12.56 ∼ -1.27, P = 0.016) compared to pre-ME. There were no differences in probability of morbidity or readmission in the TSQC Medicaid population between study periods (both P > 0.05); there were no differences in mortality between study periods in VSQC and TSQC patient populations (both P > 0.05). CONCLUSIONS: ME was associated with decreased 30-d morbidity and unplanned readmissions in the VSQC. Data-driven policies accounting for ME benefits should be considered.

Climate and human mortality in Virginia, 2005-2020.

Using an extensive database of every resident death in Virginia from 2005 to 2020, climate-mortality relationships are examined for 12 climatically homogeneous regions within the Commonwealth. Each region is represented by a first-order weather station from which archived temperature and humidity data are used to generate a variety of biometeorologically relevant indices. Using these indices and other variables (such as air quality and heat and cold waves), daily mortality and climate relationships are modeled for each region over a 21-day lag period utilizing generalized additive models and distributed lag non-linear models. Optimal models are identified for each region, and a consensus model was also run based on maximum temperature to facilitate inter-regional comparisons. The relative risk of mortality varies markedly as a function of climate between regions, with U-shaped, J-shaped, and inverse linear relationships evident. Cold mortality exceeds heat mortality across most of Virginia (typical relative risks are 1.10 for cold and 1.03 for heat), with cold risks strongest at lags 3 to 10. Low temperatures (or low humidity) are protective at lags 0-2 days except in the colder, western parts of state. Heat mortality occurs at short lags (0-2 days) for three-fourths of the stations, but the spatial pattern is random. Mortality displacement is evident for most regions for several days following the heat-related spike. Although the use of region-specific models is justified, the simple consensus model based on a consistent set of predictors provides similar results.

Examining Smoking Prevalence Disparities in Virginia Counties by Rurality, Appalachian Status, and Social Vulnerability, 2011-2019.

Objectives. To estimate county-level cigarette smoking prevalence in Virginia and examine cigarette use disparities by rurality, Appalachian status, and county-level social vulnerability. Methods. We used 2011-2019 Virginia Behavioral Risk Factor Surveillance System proprietary data with geographical information to estimate county-level cigarette smoking prevalence using small area estimation. We used the Centers for Disease Control and Prevention's social vulnerability index to quantify social vulnerability. We used the 2-sample statistical t test to determine the differences in cigarette smoking prevalence and social vulnerability between counties by rurality and Appalachian status. Results. The absolute difference in smoking prevalence was 6.16 percentage points higher in rural versus urban counties and 7.52 percentage points higher in Appalachian versus non-Appalachian counties in Virginia (P < .001). Adjusting for county characteristics, a higher social vulnerability index is associated with increased cigarette use. Rural Appalachian counties had 7.41% higher cigarette use rates than did urban non-Appalachian areas. Tobacco agriculture and a shortage of health care providers were significantly associated with higher cigarette use prevalence. Conclusions. Rural Appalachia and socially vulnerable counties in Virginia have alarmingly high rates of cigarette use. Implementation of targeted intervention strategies could reduce cigarette use, ultimately reducing tobacco-related health disparities. (Am J Public Health. 2023;113(7):811-814. https://doi.org/10.2105/AJPH.2023.307298).

Widespread Community Transmission of Hepatitis A Virus Following an Outbreak at a Local Restaurant - Virginia, September 2021-September 2022.

Hepatitis A is a vaccine-preventable liver infection caused by the hepatitis A virus (HAV); it is transmitted through ingestion of food or drink that has been contaminated by small amounts of infected stool, or through direct contact, including sexual contact, with a person who is infected (1). After years of historically low rates of hepatitis A in the United States, the incidence began increasing in 2016, with outbreaks characterized by person-to-person HAV transmission among persons who use drugs, persons experiencing homelessness, and men who have sex with men (2,3). As of September 2022, 13 states were experiencing outbreaks, including Virginia (3). In September 2021, the Roanoke City and Alleghany Health Districts (RCAHD) in southwestern Virginia investigated an outbreak of hepatitis A. The outbreak, which resulted in 51 cases, 31 hospitalizations, and three deaths, was associated with a food handler who was infected. After the outbreak, the community experienced ongoing person-to-person transmission of HAV, predominantly among persons who use injection drugs. As of September 30, 2022,* an additional 98 cases had been reported to RCAHD. The initial outbreak and community transmission have exceeded US$3 million in estimated direct costs (4,5). This report describes the initial outbreak and the ongoing community transmission of HAV. Increasing vaccination coverage among persons with risk factors for hepatitis A infection is important, including among those who use drugs. Strengthening community partnerships between public health officials and organizations that employ persons with risk factors for acquisition of HAV could help to prevent infections and outbreaks.