Spatial examination of social and environmental drivers of Middle East respiratory syndrome coronavirus (MERS-CoV) across Kenya.

Climate and agricultural land-use change has increased the likelihood of infectious disease emergence and transmissions, but these drivers are often examined separately as combined effects are ignored. Further, seldom are the influence of climate and agricultural land use on emerging infectious diseases examined in a spatially explicit way at regional scales. Our objective in this study was to spatially examine the climate, agriculture, and socio-demographic factors related to agro-pastoralism, and especially the combined effects of these variables that can influence the prevalence of Middle East respiratory syndrome coronavirus (MERS-CoV) in dromedary camels across northern Kenya. Our research questions focused on: (1) How MERS-CoV in dromedary camels has varied across geographic regions of northern Kenya, and (2) what climate, agriculture, and socio-demographic factors of agro-pastoralism were spatially related to the geographic variation of MERS-CoV cases in dromedary camels. To answer our questions, we analyzed the spatial distribution of historical cases based on serological evidence of MERS-CoV at the county level and applied spatial statistical analysis to examine the spatial relationships of the MERS-CoV cases between 2016 and 2018 to climate, agriculture, and socio-demographic factors of agro-pastoralism. Regional differences in MERS-CoV cases were spatially correlated with both social and environmental factors, and particularly ethno-religious camel practices, which highlight the complexity in the distribution of MERS-CoV in dromedary camels across Kenya.

Neighborhood Context as a Barrier to Sport Participation for Girls: Evidence From a Sport Diversity Index.

BACKGROUND: Evidence suggests neighborhood contexts play a vital role in shaping the availability and diversity of youth sport and participation rates, especially for African American or Black girls. Currently, no index captures interscholastic sport opportunities (eg, sport diversity) within and across school districts and specifically applied to African American or Black girls. OBJECTIVE: To visualize the inequalities present in interscholastic sport opportunities for girls across school districts using a novel index in a selected study area of St Louis City and County, Missouri, and discuss the implications for African American or Black girls. DESIGN: Cross-sectional study. SETTING: Database secondary analysis. PATIENTS OR OTHER PARTICIPANTS: Data for 47 public high schools in the 23 St Louis City and County school districts. MAIN OUTCOME MEASURE(S): We gathered data from the 2014-2018 American Community Survey and Missouri State High School Activities Association. We assessed sport diversity for girls by constructing a sport diversity index (SDI) that uses an entropy index as its foundation. Census-tract data were used to examine the association with neighborhood demographics and contributors to school district income and sport diversity. Descriptive spatial statistics were calculated to evaluate distributions in St Louis City and County, with the bivariate local indicator of spatial autocorrelation used to determine any correlations between variables of interest. RESULTS: The St Louis City school district, which has areas with high rates of renter-occupied housing and poverty and high percentages of non-Hispanic African American or Black students, had the lowest SDI for girls, contrasted with the school districts in St Louis County, which showed an inverse pattern on average. The SDI for girls was correlated with the percentages of renter-occupied housing and poverty. The SDI for girls was also correlated with race: an increasing presence of the non-Hispanic African American or Black population was associated with decreased sport diversity for girls. CONCLUSIONS: The SDI for girls demonstrated a spatial association with neighborhood-level determinants of sport-opportunity availability for non-Hispanic African American or Black girls in St Louis. The role of social and political determinants of health in shaping community context and resultant health in athletic training research, policy, and practice should be considered.

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.

The Effect of a Merit Point Incentive System on the Willingness to Donate Organs.

PURPOSE: Although over 90% of the population of the United States supports organ donation, only 60% of the population is registered as donors. Currently, there is a need for a nonmonetary incentive that will improve willingness to donate. We assessed the young adult population's perspective on their willingness to donate organs when merit points are granted to their family members to prioritize their potential transplant if needed. METHODS: We administered a Qualtrics survey from March 2022 to September 2022 to the undergraduate students volunteering to participate at Saint Louis University, which comprised 10 questions that addressed the attitudes of participants regarding the effects of various factors, including the type of donation and the presence of merit points (vouchers granted to self or a family member to facilitate a potential transplant if needed), on participant's willingness to donate an organ while alive or after death. The responses were analyzed by using SAS software (SAS Institute). RESULTS: A total of 572 participants completed the survey. Overall, only 6.5% of surveyed students were unwilling to donate after death. The willingness to donate while alive to a family member was significantly higher than donating to a stranger (95.8% vs 71.2%, P < .0001). When merit points were added, the unwillingness to donate significantly decreased from 6.5% to 3.8%. However, this change was observed only when the merit points were given to a family member and not to self. When merit points were granted, unwillingness to provide a living donation to a stranger decreased from 28.8% to 16.4% (P < .0001). CONCLUSIONS: Merit points to first-degree family members improve students' expressed willingness to donate organs after death; however, self-merit points did not decrease the rate of "unwillingness to donate after death." When living donation is assessed, offering merit points appears to decrease the "unwillingness to donate to strangers." The adoption of a merit point system in the United States may increase the rates of organ donation.

A global examination of ecological niche modeling to predict emerging infectious diseases: a systematic review.

Introduction: As emerging infectious diseases (EIDs) increase, examining the underlying social and environmental conditions that drive EIDs is urgently needed. Ecological niche modeling (ENM) is increasingly employed to predict disease emergence based on the spatial distribution of biotic conditions and interactions, abiotic conditions, and the mobility or dispersal of vector-host species, as well as social factors that modify the host species' spatial distribution. Still, ENM applied to EIDs is relatively new with varying algorithms and data types. We conducted a systematic review (PROSPERO: CRD42021251968) with the research question: What is the state of the science and practice of estimating ecological niches via ENM to predict the emergence and spread of vector-borne and/or zoonotic diseases? Methods: We searched five research databases and eight widely recognized One Health journals between 1995 and 2020. We screened 383 articles at the abstract level (included if study involved vector-borne or zoonotic disease and applied ENM) and 237 articles at the full-text level (included if study described ENM features and modeling processes). Our objectives were to: (1) describe the growth and distribution of studies across the types of infectious diseases, scientific fields, and geographic regions; (2) evaluate the likely effectiveness of the studies to represent ecological niches based on the biotic, abiotic, and mobility framework; (3) explain some potential pitfalls of ENM algorithms and techniques; and (4) provide specific recommendation for future studies on the analysis of ecological niches to predict EIDs. Results: We show that 99% of studies included mobility factors, 90% modeled abiotic factors with more than half in tropical climate zones, 54% modeled biotic conditions and interactions. Of the 121 studies, 7% include only biotic and mobility factors, 45% include only abiotic and mobility factors, and 45% fully integrated the biotic, abiotic, and mobility data. Only 13% of studies included modifying social factors such as land use. A majority of studies (77%) used well-recognized ENM algorithms (MaxEnt and GARP) and model selection procedures. Most studies (90%) reported model validation procedures, but only 7% reported uncertainty analysis. Discussion: Our findings bolster ENM to predict EIDs that can help inform the prevention of outbreaks and future epidemics. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier (CRD42021251968).

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.

Personal Location as Health-Related Data: Public Knowledge, Public Concern, and Personal Action.

OBJECTIVES: Personal health information (PHI), including health status and behaviors, are often associated with personal locations. Smart devices and other technologies routinely collect personal location. Therefore, technologies collecting personal location do not just create generic questions of privacy, but specific concerns related to PHI. METHODS: To assess public opinion on the relationship between health, personal location, and privacy, a national survey of US residents was administered online in March 2020. Respondents answered questions about their use of smart devices and knowledge of location tracking. They also identified which of the locations they could visit were most private and how to balance possibilities that locations may be private but can also be useful to share. RESULTS: Of respondents that used smart devices (n = 688), a majority (71.1%) indicated they knew they had applications tracking their location, with respondents who were younger (P < .001) and male (P = .002) and with more education (P = .045) more likely to indicate "yes." When all respondents (N = 828) identified the locations on a hypothetical map they felt were most private, health-related locations (substance use treatment center, hospital, urgent care) were the most selected. CONCLUSIONS: The historical notion of PHI is no longer adequate and the public need greater education on how data from smart devices may be used to predict health status and behaviors. The COVID-19 pandemic brought increased attention to personal location as a tool for public health. Given healthcare's dependence upon trust, the field needs to lead the conversation and be viewed as protecting privacy while usefully leveraging location data.

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.

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.

Associations of Transactional Sex and Sexually Transmitted Infections Among Treatment-Seeking Individuals With Opioid Use Disorder.

INTRODUCTION: Coinciding with the rise in opioid use across the U.S., the rates of sexually transmitted infections have reached historically high levels, underscoring the need to understand multiple pathways of disease spread. Although prevention is often focused on injection-related behaviors, this study sought to identify the prevalence and associations of a little understood pathway, transactional sex, among individuals with opioid use disorder, including associations of transactional sex with the prevalence of sexually transmitted infection diagnoses. METHODS: Data were sourced from a nationwide opioid surveillance program of treatment-seeking individuals with opioid use disorder utilizing a serial, cross-sectional survey of 4,366 new entrants to 1 of 99 substance use treatment programs for opioid use disorder in 37 states from October 2018 to June 2021. RESULTS: A quarter of the sample (24.9%) self-reported a lifetime history of transactional sex for drugs, with rates highest for sexual (56.6%) and gender (53.8%) minority, female (33.4%), Latinx (30.4%), and Black (29.6%) subgroupings. Lifetime diagnoses of all specific sexually transmitted infections analyzed were significantly higher (p<0.001) among those reporting transactional sex, particularly syphilis (14.3% vs 4.4%) and HIV (4.0 vs 0.9%). Financial hardship, trauma, and psychiatric disorder were significantly associated with transactional sex engagement. CONCLUSIONS: Transactional sex is relatively common among patients with opioid use disorder, particularly among sexual/gender minorities, which was associated with a greater lifetime prevalence of all sexually transmitted infections assessed. Sexually transmitted infection testing remains at low levels within substance use treatment programs, occurring in just 26.3% of programs; sexual health screenings and sexually transmitted infection prevention/testing need to be prioritized and integrated into opioid use disorder patient care.

Barriers to human papillomavirus (HPV) vaccination among young adults, aged 18-35.

In the United States (US), an estimated 35,900 human papillomavirus (HPV)-related cancers are diagnosed annually. HPV vaccines are projected to eliminate âˆ¼90% of these cancers. Routine vaccination is recommended at age 11-12 with "catch-up" vaccination through age 26 and shared clinical decision making for ages 27-45. However, vaccine uptake has been slow with many young adults remaining unvaccinated. This study examined barriers to HPV vaccination among individuals aged 18-35 years and assessed likelihood of future HPV vaccination. Age-eligible participants (n = 499) recruited through Facebook advertisements, Facebook posts, and clinics (6/2019-3/2020) completed an online survey. Descriptive statistics and bivariate analysis examined HPV vaccine barriers and intent. Logistic regression models examined predictors of HPV vaccine intent. Most (57.1%) reported they were not at all likely to get vaccinated for HPV in the future. Lower intent was associated with belief that the vaccine is not necessary (aOR: 0.134, 95% CI: 0.073, 0.246) and not safe (aOR: 0.312, 95% CI: 0.126, 0.773). Intent was positively associated with the belief that health insurance would not cover vaccination (aOR: 2.226, 95% CI: 1.070, 4.631). Provider recommendation was not significantly associated with vaccine intention. This study highlights challenges to HPV vaccine uptake for young adults. Though several successful interventions exist, most target adolescents and their parents or providers. Future steps should use this evidence to inform development of targeted interventions to increase HPV vaccine intention and uptake in adults, ultimately reducing the burden of HPV-related cancers.

The Longitudinal Impact of Maternal Depression and Neighborhood Social Context on Adolescent Mental Health.

Purpose: Maternal depression and neighborhood characteristics are known to be associated both with each other and with adolescent mental health outcomes. These exposures are also subject to change throughout the life of a child. This study sought to identify multi-trajectories of maternal depression (MD) and self-reported neighborhood collective efficacy (NCE) over a 12-year period and determine whether these trajectories are differentially associated with adolescent mental health. Methods: Data from the Fragile Families and Child Wellbeing study, a longitudinal cohort study of new parents and their children, were used. Maternal depression (MD) and self-reported NCE when the child was 3, 5, 9, and 15 years of age were the primary exposures of interest. Adolescent depression and anxiety symptomology when the child was 15 years of age were the primary outcomes. Primary analyses were conducted using multi-trajectory modeling and linear regressions. Results: Five multi-trajectories were identified, two of which were characterized by no MD but either high or low NCE, and three of which were characterized by similarly moderate levels of NCE but either increasing, decreasing, or consistently high MD. Children of mothers with increasing or consistently high depressive symptomology and moderate NCE had significantly higher depression and anxiety scores compared to children of mothers with no depressive symptomology and high NCE. Conclusion: Adolescents with consistent and proximal exposure to MD are most likely to suffer from adverse mental health and should be provided with appropriate support systems to mitigate these outcomes.

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.

Factors Associated with Intention to Receive Vaccination against COVID-19 in Puerto Rico: An Online Survey of Adults.

We conducted an online survey among adults in Puerto Rico to identify factors associated with the intention to receive vaccination against COVID-19. Sociodemographic variables were analyzed independently for association with intent to receive vaccination. Significant associations were included in the multivariate logistic regression analysis. A total of 1016 responses were available for analysis. In the bivariate analysis, younger age, higher education, pre-COVID-19 employment, male sex, gay/bisexual identity, and single marital status were associated with increased intent to receive the vaccination. In the multivariate logistic regression, younger, male respondents, and those with higher educational attainment reported higher intent to receive the vaccination. Lower-income and living outside the San Juan metro region were associated with lower intent to receive the vaccination. National and international health organizations were identified as the most reliable sources of information, followed by healthcare professionals. These findings highlight the importance of considering sociodemographic characteristics and using trusted sources of information when designing COVID-19 vaccination public messaging.

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.

Disparities in health behaviors and outcomes at the intersection of race and sexual identity among women: Results from the 2011-2016 National Health and Nutrition Examination Survey.

The purpose of this study was to explore potential differences in health behaviors and outcomes of sexual minority women (SMW) of color compared to White SMW, heterosexual women of color, and White heterosexual women. Data from 4878 women were extracted from the 2011 to 2016 National Health and Nutritional Examination Survey. The four-category independent variable (SMW of color, White SMW, heterosexual women of color, and White heterosexual women) was included in binary and multinomial logistic regression models predicting fair/poor self-reported health status, depression, cigarette smoking, alcohol, cannabis, and illicit drug use. Compared to White heterosexual women, SMW of color and heterosexual women of color had significantly higher odds of fair/poor self-reported health and lower odds of being a current or former smoker, binge drinking or using alcohol in the past year, being a former cannabis user, and ever using illicit drugs. In contrast, White SMW had significantly greater odds of depression, current smoking and cannabis and illicit drug use. Results of post-hoc tests indicated that the adjusted ORs for SMW of color differed significantly from those of White SMW for all outcomes, and did not differ significantly from those for heterosexual women of color for any outcome other than no binge drinking (OR = 0.34 vs. 0.67, p < 0.01) and current cannabis use (OR = 0.93 vs. 0.44, p < 0.01). SMW of color are more similar to heterosexual women of color than to White SMW in terms of depression, substance use, and self-reported health.

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.

Identifying potential undocumented COVID-19 using publicly reported influenza-like-illness and laboratory-confirmed influenza disease in the United States: An approach to syndromic surveillance?

In the absence of widespread testing, syndromic surveillance approaches may be useful for understanding potential undocumented coronavirus disease 2019 (COVID-19) in the United States. We used publicly available data from the Centers for Disease Control and Prevention FluView Interactive to evaluate its potential for COVID-19 syndromic surveillance. Unlike the prior 3 influenza seasons, we found a 76% decrease in influenza positive tests and a 27% increase in influenza like illness during the weeks since COVID-19 outbreaks began in the United States, which suggests FluView's potential utility for COVID-19 syndromic surveillance.