The Relationship of Vaccine Uptake and COVID-19 Infections Among Nursing Home Staff and Residents in Missouri: A Measure of Risk by Community Mobility.

BACKGROUND: As the COVID-19 pandemic progressed across the United States, older adults living in nursing home (NH) facilities were disproportionately affected because of living in communal spaces with close proximity to others, age-related medical conditions, and constant contact with staff who may support multiple clients and facilities. While these populations are particularly at risk, there has been limited research focused on the management of the potential vectors of COVID-19 infection. METHODS: Data from the Centers for Medicare & Medicaid Services (CMS) COVID-19 reporting system assessing weekly observations of COVID-19 case counts among NH residents and COVID-19 vaccination rates among NH staff and residents in the states of Missouri and Illinois (n = 877) from May 24, 2021, to August 28, 2021, were used. This ecological study, using results from the CMS COVID-19 reporting system, local COVID-19 rates, and NH-level demographic characteristics, conducted a zero inflation mode to determine the association between NH staff vaccine uptake and COVID-19 cases among NH residents. RESULTS: Among the total 11 195 weekly observations within the NH facilities, zero cases of COVID-19 were reported during 10 683 (95%) of those weeks, supporting the use of a zero-inflated model. Results show that staff vaccination rates were significantly associated with a decrease in COVID-19 mortality. This study identified that for every percentage increase in staff vaccine coverage, the rate of COVID-19 among residents decreased by 2%. DISCUSSION: These findings suggest that NH staff vaccination rates are significantly associated with the rate of COVID-19 outbreaks among NH residents. Community median income was associated with an increased likelihood of infection. Future research that explores associations with employment benefits and staff mobility, particularly in vulnerable populations, should be implemented in future vaccination strategic planning.

Implementing Geospatial Science and Technology to Get to Zero New HIV Infections.

PURPOSE OF REVIEW: Tremendous advancements have been made in HIV treatment and prevention during the last 40 years that zero new HIV cases has become an attainable goal declared by international agencies. However, new cases of HIV infection persist. RECENT FINDINGS: The emerging field of geospatial science is positioned to play key role in the reduction of continued HIV incidence through technology-driven interventions and innovative research that gives insights into at-risk populations. As these methods become more utilized, findings consistently show the important role of location and environment plays in HIV incidence and treatment adherence. This includes distance to HIV provider, locations of where HIV transmissions occurs compared to where people with HIV reside, and how geospatial technology has been leveraged to identify unique insights among varying groups of those at increased risk for HIV, among others. Given these insights, leveraging geospatial technology would play a prominent role in achieving zero new cases of HIV infections.

Examining Increasing Racial Inequities in Opioid Overdose Deaths: a Spatiotemporal Analysis of Black and White Decedents in St. Louis, Missouri, 2011-2021.

The third wave of the opioid overdose crisis-defined by the proliferation of illicit fentanyl and its analogs-has not only led to record numbers of overdose deaths but also to unprecedented racial inequities in overdose deaths impacting Black Americans. Despite this racialized shift in opioid availability, little research has examined how the spatial epidemiology of opioid overdose death has also shifted. The current study examines the differential geography of OOD by race and time (i.e., pre-fentanyl versus fentanyl era) in St. Louis, Missouri. Data included decedent records from the local medical examiners suspected to involve opioid overdose (N = 4420). Analyses included calculating spatial descriptive analyses and conducting hotspot analyses (i.e., Gettis-Ord Gi*) stratified by race (Black versus White) and time (2011-2015 versus 2016-2021). Results indicated that fentanyl era overdose deaths were more densely clustered than pre-fentanyl era deaths, particularly those among Black decedents. Although hotspots of overdose death were racially distinct pre-fentanyl, they substantially overlapped in the fentanyl era, with both Black and White deaths clustering in predominantly Black neighborhoods. Racial differences were observed in substances involved in cause of death and other overdose characteristics. The third wave of the opioid crisis appears to involve a geographic shift from areas where White individuals live to those where Black individuals live. Findings demonstrate racial differences in the epidemiology of overdose deaths that point to built environment determinants for future examination. Policy interventions targeting high-deprivation communities are needed to reduce the burden of opioid overdose on Black communities.

A practitioner's guide to geospatial analysis in a neuroimaging context.

Introduction: Health disparities arise from biological-environmental interactions. Neuroimaging cohorts are reaching sufficiently large sample sizes such that analyses could evaluate how the environment affects the brain. We present a practical guide for applying geospatial methods to a neuroimaging cohort. Methods: We estimated brain age gap (BAG) from structural magnetic resonance imaging (MRI) from 239 city-dwelling participants in St. Louis, Missouri. We compared these participants to population-level estimates from the American Community Survey (ACS). We used geospatial analysis to identify neighborhoods associated with patterns of altered brain structure. We also evaluated the relationship between Area Deprivation Index (ADI) and BAG. Results: We identify areas in St. Louis, Missouri that were significantly associated with higher BAG from a spatially representative cohort. We provide replication code. Conclusion: We observe a relationship between neighborhoods and brain health, which suggests that neighborhood-based interventions could be appropriate. We encourage other studies to geocode participant information to evaluate biological-environmental interaction.

A Spatial Examination of COVID-19 Policies among Missouri School Districts.

BACKGROUND: As the COVID-19 pandemic spread, school district administrators in the United States were faced with difficult decisions regarding the implementation of virtual or in-person learning to reduce risk of infection throughout student and staff populations. While a coordinated effort with surrounding districts would be most beneficial when encountering a highly infectious respiratory-based infectious disease, the determinants of type of education delivery is unclear. METHODS: Data from the Missouri Department of Elementary and Secondary Education assessing education delivery method at each school district across the state of Missouri (n = 514) from August 2020 were used. This cross-sectional study, using results from a school district-level survey, local COVID-19 rates, and community-level sociodemographic characteristics, conducted a spatially adjusted analysis of variance (ANOVA) to determine associations between education delivery type and geographic-level sociogeographic characteristics. RESULTS: Among Missouri school districts, 172 (33.4%) reported starting the 2020-2021 academic year with an in-person policy, 52 (10.1%) with a distant/virtual policy, 242 (47.1%) in-person with a distance option, and 48 (9.3%) with a blended policy. This study found districts with lower household income levels were less likely to offer students any virtual learning options. Additionally, community COVID-19 infection rates were not associated with the selection of virtual or in-person education delivery. CONCLUSIONS: These findings suggest the presence of a specific school policy was spatially random in regard to neighboring community policies, even when accounting for community characteristics. The efficacy of policy is likely to benefit upon application of a spatial framework when addressing a crisis fundamentally tied to location. Future planning that highlights and focuses on regional coordination for community resilience in the face of a pandemic should incorporate data sources that inform decisions made for families, students, and communities.

Spatial Optimization to Improve COVID-19 Vaccine Allocation.

Early distribution of COVID-19 vaccines was largely driven by population size and did not account for COVID-19 prevalence nor location characteristics. In this study, we applied an optimization framework to identify distribution strategies that would have lowered COVID-19 related morbidity and mortality. During the first half of 2021 in the state of Missouri, optimized vaccine allocation would have decreased case incidence by 8% with 5926 fewer COVID-19 cases, 106 fewer deaths, and 4.5 million dollars in healthcare cost saved. As COVID-19 variants continue to be identified, and the likelihood of future pandemics remains high, application of resource optimization should be a priority for policy makers.

Prior Heterologous Flavivirus Exposure Results in Reduced Pathogenesis in a Mouse Model of Zika Virus Infection.

The 2015/2016 Zika virus epidemic in South and Central America left the scientific community urgently trying to understand the factors that contribute to Zika virus pathogenesis. Because multiple other flaviviruses are endemic in areas where Zika virus emerged, it is hypothesized that a key to understanding Zika virus disease severity is to study Zika virus infection in the context of prior flavivirus exposure. Human and animal studies have highlighted the idea that having been previously exposed to a different flavivirus may modulate the immune response to Zika virus. However, it is still unclear how prior flavivirus exposure impacts Zika viral burden and disease. In this murine study, we longitudinally examine multiple factors involved in Zika disease, linking viral burden with increased neurological disease severity, weight loss, and inflammation. We show that prior heterologous flavivirus exposure with dengue virus type 2 or 3 or the vaccine strain of yellow fever provides protection from mortality in a lethal Zika virus challenge. However, reduction in viral burden and Zika disease varies depending on the infecting primary flavivirus; with primary Zika virus infection being most protective from Zika virus challenge, followed by dengue virus 2, with yellow fever and dengue virus 3 protecting against mortality but showing more severe disease. This study demonstrates the variation in protective effects of prior flavivirus exposure on Zika virus pathogenesis and identifies distinct relationships between primary flavivirus infection and the potential for Zika virus disease. IMPORTANCE The emergence and reemergence of various vector-borne diseases in recent years highlights the need to understand the mechanisms of protection for each pathogen. In this study, we investigated the impact of prior exposure to Zika virus, dengue virus serotypes 2 or 3, or the vaccine strain of yellow fever on pathogenesis and disease outcomes in a mouse model of Zika virus infection. We found that prior exposure to a heterologous flavivirus was protective from mortality, and to varying degrees, prior flavivirus exposure was protective against neurological disease, weight loss, and severe viral burden during a lethal Zika challenge. Using a longitudinal and cross-sectional study design, we were able to link multiple disease parameters, including viral burden, with neurological disease severity, weight loss, and inflammatory response in the context of flavivirus infection. This study demonstrates a measurable but varied impact of prior flavivirus exposure in modulating flavivirus pathophysiology. Given the cyclic nature of most flavivirus outbreaks, this work will contribute to the forecasting of disease severity for future outbreaks.

Shifting Pathways of Stimulant Use Among Individuals With Opioid Use Disorder: A Retrospective Analysis of the Last Thirty Years.

Background: Stimulant use among individuals with opioid use disorder has recently increased, driven by changes in drug distribution channels. However, our understanding of polysubstance use is often limited by a need to provide targeted treatment to a primary drug of addiction. Yet there is a crucial need to better understand pathways to addiction, and how the use of multiple substances may differ between populations, as well as time periods. Methods: Using a national opioid surveillance system, we analyzed survey data from new entrants to 124 opioid use disorder treatment centers from 2017 to 2020. Age of first use was collected for prescription opioids, illicit opioids, prescription stimulants, crack/cocaine, and methamphetamines. Year of initial use of an opioid or stimulant was calculated and grouped by 5 year blocs, inclusive of initial use starting from 1991 and ending in 2020 (n = 6,048). Results: Lifetime exposure to stimulants was 82.5% among individuals with opioid use disorder. Mean age of initiation increased for all drugs in 2016-2020, in particular prescription opioids (22.3 to 31.8). Stimulants were initiating drugs for a substantial proportion of individuals with opioid use throughout the analyzed time period. Those initiating opioid/stimulant use from 1991 to 1995 had a mean average of 6.8 years between first and second drug exposure, which steadily decreased to 1.5 years between exposures in 2016-2020. Sankey plots depict significantly more drug transitions in those initiating use from 1991 to 2000 (65.1% had at least two drug transitions) compared to 2010-2020 (16.0%). Opioid-stimulant use increased over time among racial/ethnic minorities, sexual minorities, and those with an educational attainment of high school or less. Conclusion: These data highlight not only the substantial prevalence of stimulant use among individuals who develop opioid use disorder, but also the variability through which pathways of use occur. Prevention and intervention efforts need to take into account increasing ages of initial drug exposures, demographic shifts in stimulant-using populations, and more rapid drug transitions between opioid and stimulants. But at a broader level, prevention, harm reduction ideology, and addiction medicine needs to take into account the ubiquity of polysubstance use among individuals with substance use disorders.

What a Difference a Drink Makes: Determining Associations Between Alcohol-Use Patterns and Condom Utilization Among Adolescents.

This study aimed to identify differences in condom use among adolescents by alcohol consumption patterns using the 2017 Youth Risk Behavior Survey. Results suggest significant increased risk of condomless sex among binge drinking youth. Surprisingly, no significant difference in condom utilization was identified between non-drinkers and only moderate drinkers. Findings highlight the need to tailor STI preventative measures accordingly.

Integrating mental health care services into HIV comprehensive care.

OBJECTIVES: HIV prevention strategies prioritize medication adherence among people living with HIV (PLWH). Of the 1.1 million PLWH in the United States, more than two-fifths are not virally suppressed and thus experience increased morbidity and mortality as well as transmission risk. Integrated care models are meant to address these gaps and often cite the importance of mental health care services (MHCS). However, research into the impact of integrating MHCS has been limited to those in homogenous treatment. STUDY DESIGN: This study used an analytic observational cross-sectional design to achieve the above objectives. METHODS: This study utilized a cross-sectional survey aimed to identify needs among PLWH in the Midwestern region of the United States and to stratify by both MHCS need and receipt. The survey, administered throughout 2018 in 12 HIV service organizations, was completed by PLWH receiving different supportive services. Comparative logistic regression models were calculated to identify the likelihood of nonadherence based on both MHCS receipt and need. RESULTS: Of the 537 survey respondents, 20% reported receiving integrated MHCS, 8% reported needing but being unable to receive MHCS, and 72% reported not needing or receiving MHCS. Overall, 50% of the sample reported missing at least some HIV medication within the past 30 days. Individuals who needed but did not receive MHCS were more likely to report treatment nonadherence. No significant difference in adherence was identified between those who received MHCS and those who did not need MHCS. CONCLUSIONS: Results suggest that continued assessment of needs and integration of MHCS into HIV care improves the likelihood of medication adherence. Further, our study highlights how systematically asking PLWH about their needs and connecting them to services may critically affect HIV management.

Students' Menstrual Hygiene Needs and School Attendance in an Urban St. Louis, Missouri, District.

PURPOSE: To assess the menstrual hygiene needs and related school absences among female students in an urban St. Louis, MO district. METHODS: Students (n = 58) completed a self-administered survey during registration and orientation before the 2019-2020 school year. RESULTS: Nearly half (48.3%) needed period products at least once last school year but did not have money to buy them. The majority (62.1%) accessed period products at school last year. Seventeen percent missed at least one day at school because of an inadequate supply of period products, including significantly more ninth graders than 10th-12th graders (33.3% vs. 6.1%, respectively, p < .01). CONCLUSIONS: Students reported a substantial need for menstrual hygiene products but also frequent utilization of school resources to access products. Given that incoming ninth graders reported more absences related to an inadequate supply of products, the district may need to focus more attention on this issue in the junior high school and younger grades.