INTRODUCTION: Non-survey-based data sources (e.g. electronic health records, administrative claims) have been used to estimate vaccination coverage among US adults. However, these data sources were not collected for research or surveillance purposes and may have substantial limitations. The objectives of this narrative review were to: 1) identify published studies that used non-survey-based data sources to estimate adult vaccination coverage for one or more routinely recommended vaccines; and 2) summarize the strengths and limitations of these data sources for coverage assessments. AREAS COVERED: Thirty-four publications derived from 9 data sources were reviewed: 16 publications were in a general population (i.e. defined by age), 12 were among pregnant women, and 6 were among individuals with chronic health conditions. While several data sources used continuous health insurance enrollment to define the study population, doing so limited generalizability to stably insured populations. Methods for obtaining race and ethnicity data were complex and potentially subject to bias. None of the reviewed studies presented any formal assessment of vaccine data validity. EXPERT OPINION: While multiple non-survey-based data sources have been used to assess adult vaccination coverage in the United States, important limitations exist, including related to generalizability, data validity, and risk of bias.

INTRODUCTION: The Inflation Reduction Act (IRA) eliminated cost sharing for Medicare Part D-covered vaccines but did not address the cost burden faced by Medicare beneficiaries who did not have prescription drug coverage. This study aimed to determine the characteristics of beneficiaries without prescription drug coverage and to assess the association between the receipt of a herpes zoster vaccine and prescription drug coverage status. METHODS: We used the 2019-2023 National Health Interview Survey and included Medicare beneficiaries aged 65 years and older who enrolled in both Parts A and B or a Medicare Advantage plan. Descriptive statistics were used to examine beneficiaries' characteristics. Logistic regressions were used to examine the associations between the receipt of a herpes zoster vaccine and Medicare prescription drug coverage. RESULTS: The study included 33,578 beneficiaries and 93.5 % of beneficiaries had prescription drug coverage. The prevalence of lacking prescription drug coverage was higher among beneficiaries who did not have a college degree, had family income below the poverty level, had no flu shot and well visit within the past year, and had no usual place for care. The probability of receiving a herpes zoster vaccine was higher among beneficiaries with prescription drug coverage than those without prescription coverage (45.2 % versus 25.3 %). CONCLUSIONS: Herpes zoster vaccination disparities between beneficiaries with and without prescription drug coverage existed before the IRA. Because the IRA only addresses the cost barrier facing by beneficiaries with prescription drug coverage, vaccination disparities was greater after the IRA implementation.

The COVID-19 Uninsured Program, administered by the Health Resources and Services Administration (HRSA), reimbursed providers for administering COVID-19 vaccines to uninsured US adults from December 11, 2020, through April 5, 2022. Using HRSA claims data covering forty-two states, we estimated that the program funded about 38.9 million COVID-19 vaccine doses, accounting for 5.7 percent of total doses distributed and 10.9 percent of doses administered to adults ages 19-64.

Intimate partner violence (IPV) against women is a global public health problem. Conceptual frameworks suggest misperceived norms around IPV might drive perpetration of violence against women in southern and eastern Africa. We conducted a cross-sectional, population-based survey of all men residing in a rural parish in southwest Uganda, eliciting their endorsement of IPV in five hypothetical scenarios and their reported frequency of perpetration of violence against their wife/main partner. They also reported their perceptions about the extent to which most other men in their villages endorsed and/or perpetrated IPV, which we compared against the population data to measure the primary explanatory variable of interest: whether individuals misperceived norms around IPV. We fitted multivariable Poisson regression models specifying personal IPV endorsement and IPV perpetration as the outcomes. Overall, 765 men participated in the study (90% response rate): 182 (24%) personally endorsed IPV, and 78 of 456 partnered men (17%) reported perpetrating one or more acts of IPV at least once per month. Although most men neither endorsed nor reported perpetrating IPV, 342 (45%) men mistakenly thought that most other men in their villages endorsed IPV and 365 (48%) men mistakenly thought that most other men perpetrate IPV at least monthly. In multivariable regression models, men who misperceived most men to endorse IPV were more likely to endorse IPV themselves (adjusted relative risk [aRR] = 2.44; 95% CI [1.66, 3.59]; p < .001). Among partnered men, those who misperceived IPV perpetration to be normative were more likely to perpetrate IPV themselves (aRR = 4.38; [2.53, 7.59]; p < .001). Interventions to correct misperceived norms about IPV may be a promising method for reducing violence against women in rural Uganda.

INTRODUCTION: Monitoring menthol cigarette use allows for identification of potential health disparities. We examined sociodemographic and temporal differences in menthol cigarette use among US adults who smoke. METHODS: We analyzed data from the 1999-2018 National Health and Nutrition Examination Survey for adults aged 20 years or older who smoke (N = 11,431) using binary logistic regression. RESULTS: Among US adults who smoke, 28.8% used menthol cigarettes. After adjusting for age, sex, race and ethnicity, education, income-to-poverty ratio, and health status, the prevalence of menthol use among adults who smoke increased on average by 3.8% (95% CI, 2.7%-4.9%) annually. Non-Hispanic Black adults had the highest average prevalence of menthol cigarette use, 73.0% (95% CI, 70.9%-75.2%), and Mexican American adults had higher average annual increase in menthol cigarette use, 7.1% (95% CI, 4.0%-10.3%). Adults with fair or poor health status had a 4.3% annual increase in menthol cigarette use (95% CI, 2.5%-6.1%). The adjusted prevalence ratios of menthol cigarette use were 1.61 (95% CI, 1.39-1.83) for adults aged 20-29 years compared with those aged 65 years or older, 1.41 (95% CI, 1.32-1.49) for female adults compared with male adults, and 1.17 (95% CI, 1.07-1.27) for high school graduates or higher compared with those with no high school diploma. CONCLUSION: Non-Hispanic Black adults who smoke had the highest prevalence of menthol cigarette use among all racial and ethnic groups; the prevalence of menthol cigarette use among adults who smoke increased especially among Mexican American adults, younger adults, and adults who reported fair to poor health status.

Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. In 2020, the COVID-19 Forecast Hub (https://covid19forecasthub.org/) collected, disseminated, and synthesized hundreds of thousands of specific predictions from more than 50 different academic, industry, and independent research groups. This manuscript systematically evaluates 23 models that regularly submitted forecasts of reported weekly incident COVID-19 mortality counts in the US at the state and national level. One of these models was a multi-model ensemble that combined all available forecasts each week. The performance of individual models showed high variability across time, geospatial units, and forecast horizons. Half of the models evaluated showed better accuracy than a naïve baseline model. In combining the forecasts from all teams, the ensemble showed the best overall probabilistic accuracy of any model. Forecast accuracy degraded as models made predictions farther into the future, with probabilistic accuracy at a 20-week horizon more than 5 times worse than when predicting at a 1-week horizon. This project underscores the role that collaboration and active coordination between governmental public health agencies, academic modeling teams, and industry partners can play in developing modern modeling capabilities to support local, state, and federal response to outbreaks.Competing Interest StatementAV, MC, and APP report grants from Metabiota Inc outside the submitted work.Funding StatementFor teams that reported receiving funding for their work, we report the sources and disclosures below. CMU-TimeSeries: CDC Center of Excellence, gifts from Google and Facebook. CU-select: NSF DMS-2027369 and a gift from the Morris-Singer Foundation. COVIDhub: This work has been supported by the US Centers for Disease Control and Prevention (1U01IP001122) and the National Institutes of General Medical Sciences (R35GM119582). The content is solely the responsibility of the authors and does not necessarily represent the official views of CDC, NIGMS or the National Institutes of Health. Johannes Bracher was supported by the Helmholtz Foundation via the SIMCARD Information&amp; Data Science Pilot Project. Tilmann Gneiting gratefully acknowledges support by the Klaus Tschira Foundation. DDS-NBDS: NSF III-1812699. EPIFORECASTS-ENSEMBLE1: Wellcome Trust (210758/Z/18/Z) GT_CHHS-COVID19: William W. George Endowment, Virginia C. and Joseph C. Mello Endowments, NSF DGE-1650044, NSF MRI 1828187, research cyberinfrastructure resources and services provided by the Partnership for an Advanced Computing Environment (PACE) at Georgia Tech, and the following benefactors at Georgia Tech: Andrea Laliberte, Joseph C. Mello, Richard Rick E. &amp; Charlene Zalesky, and Claudia &amp; Paul Raines GT-DeepCOVID: CDC MInD-Healthcare U01CK000531-Supplement. NSF (Expeditions CCF-1918770, CAREER IIS-2028586, RAPID IIS-2027862, Medium IIS-1955883, NRT DGE-1545362), CDC MInD program, ORNL and funds/computing resources from Georgia Tech and GTRI. IHME: This work was supported by the Bill &amp; Melinda Gates Foundation, as well as funding from the state of Washington and the National Science Foundation (award no. FAIN: 2031096). IowaStateLW-STEM: Iowa State University Plant Sciences Institute Scholars Program, NSF DMS-1916204, NSF CCF-1934884, Laurence H. Baker Center for Bioinformatics and Biological Statistics. JHU_IDD-CovidSP: State of California, US Dept of Health and Human Services, US Dept of Homeland Security, US Office of Foreign Disaster Assistance, Johns Hopkins Health System, Office of the Dean at Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University Modeling and Policy Hub, Centers fo Disease Control and Prevention (5U01CK000538-03), University of Utah Immunology, Inflammation, &amp; Infectious Disease Initiative (26798 Seed Grant). LANL-GrowthRate: LANL LDRD 20200700ER. MOBS-GLEAM_COVID: COVID Supplement CDC-HHS-6U01IP001137-01. NotreDame-mobility and NotreDame-FRED: NSF RAPID DEB 2027718 UA-EpiCovDA: NSF RAPID Grant # 2028401. UCSB-ACTS: NSF RAPID IIS 2029626. UCSD-NEU: Google Faculty Award, DARPA W31P4Q-21-C-0014, COVID Supplement CDC-HHS-6U01IP001137-01. UMass-MechBayes: NIGMS R35GM119582, NSF 1749854. UMich-RidgeTfReg: The University of Michigan Physics Department and the University of Michigan Office of Research.Author DeclarationsI confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.YesThe details of the IRB/oversight body that provided approval or exemption for the research described are given below:UMass-Amherst IRBAll necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).YesI have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.YesAll data and code referred to in the manuscript are publicly available. https://github.com/reichlab/covid19-forecast-hub/ https://github.com/reichlab/covidEnsembles https://zoltardata.com/project/44

Parasitic nematodes (roundworms) and platyhelminths (flatworms) cause debilitating chronic infections of humans and animals, decimate crop production and are a major impediment to socioeconomic development. Here we compare the genomes of 81 nematode and platyhelminth species, including those of 76 parasites. From 1.4 million genes, we identify gene family births and hundreds of large expanded gene families at key nodes in the phylogeny that are relevant to parasitism. Examples include gene families that modulate host immune responses, enable parasite migration though host tissues or allow the parasite to feed. We use a wide-ranging in silico screen to identify and prioritise new potential drug targets and compounds for testing. We also uncover lineage-specific differences in core metabolism and in protein families historically targeted for drug development. This is the broadest comparative study to date of the genomes of parasitic and non-parasitic worms. It provides a transformative new resource for the research community to understand and combat the diseases that parasitic worms cause.

As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing/sequencing capacity, which can also introduce biases. SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing. Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here, we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We develop and deploy improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detect emerging variants of concern up to 14 days earlier in wastewater samples, and identify multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission.

Parasitic nematodes (roundworms) and platyhelminths (flatworms) cause debilitating chronic infections of humans and animals, decimate crop production and are a major impediment to socioeconomic development. Here we report a broad comparative study of 81 genomes of parasitic and non-parasitic worms. We have identified gene family births and hundreds of expanded gene families at key nodes in the phylogeny that are relevant to parasitism. Examples include gene families that modulate host immune responses, enable parasite migration though host tissues or allow the parasite to feed. We reveal extensive lineage-specific differences in core metabolism and protein families historically targeted for drug development. From an in silico screen, we have identified and prioritized new potential drug targets and compounds for testing. This comparative genomics resource provides a much-needed boost for the research community to understand and combat parasitic worms.

Previous research has identified that patterns of cooccurring conditions (CoCs) associated with autism spectrum disorder (ASD) differ based on the presence of intellectual disability (ID). This study explored the association of documented CoCs among 8-year-old children with ASD and ID (ASD+ID, n = 2416) and ASD without ID (ASD-ID, n = 5372) identified by the Autism and Developmental Disabilities Monitoring Network, surveillance years (SYs) 2012 and 2014. After adjusting for demographic variables, record source, surveillance site, and SY, children with ASD+ID, as compared with children with ASD-ID, were more likely to have histories of nonspecific developmental delays and neurological disorders documented in their records but were less likely to have behavioral and psychiatric disorders. ID plays a key role on how children with ASD would experience other CoCs. Our results emphasize how understanding the pattern of CoCs in ASD+ID and ASD-ID can inform comprehensive and multidisciplinary approaches in assessment and management of children in order to develop targeted interventions to reduce possible CoCs or CoCs-related impairments. LAY SUMMARY: CoCs are common among children with either ASD or ID which can complicate diagnosis and treatment decisions. We compared these CoCs in children with ASD and ID and children with ASD without ID. Our results suggest that children with ASD and ID are more likely to have histories of nonspecific developmental delays and neurological disorders but were less likely to have behavioral and psychiatric conditions compared with children with ASD but not ID.

INTRODUCTION: Influenza vaccination is the best prevention strategy to protect against influenza infection. Determining accurate influenza vaccination coverage is critical. This study assesses the concordance between self-reported and claimed-based influenza vaccination coverage and examines vaccination disparities in the U.S. METHODS: Data from the 2016-2019 Medicare Current Beneficiary Survey linked to survey participants' influenza vaccination claims were analyzed in 2022. The study population included survey participants aged ≥65 years and enrolled in a Medicare fee-for-service plan. Sensitivity, specificity, kappa statistics, and net bias (the difference between the estimated vaccination coverage based on survey and claims data) were reported. Associations between receipt of influenza vaccine and beneficiaries' characteristics and sex, racial and ethnic, and urban‒rural disparities in influenza vaccination were examined using logistic regressions. RESULTS: The analysis included 20,854 beneficiaries. Claimed-based vaccination coverage was 60.0%, and survey-based coverage was 76.3%. The net bias was 16.3 percentage points, and kappa statistic indicated moderate data agreement. The sensitivity of self-reported influenza vaccination was 98.7%, and the specificity was 57.4%. Net bias was high among male, non-Hispanic Black and Hispanic beneficiaries, and rural residents. Sex, racial and ethnic, and urban‒rural disparities in influenza vaccination were noticeably smaller according to the survey than claims data. CONCLUSIONS: The level of data agreement differed by beneficiaries' characteristics and was low among males, racial and ethnic minority groups, and rural residents.

As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing/sequencing capacity, which can also introduce biases(1-3). SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing(4,5). Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here, we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We develop and deploy improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detect emerging variants of concern up to 14 days earlier in wastewater samples, and identify multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission.

Researchers are increasingly recognizing the importance of studying and addressing intersectional stigma within the field of HIV. Yet, researchers have, arguably, struggled to operationalize intersectional stigma. To ensure that future research and methodological innovation is guided by frameworks from which this area of inquiry has arisen, we propose a series of core elements for future HIV-related intersectional stigma research. These core elements include multidimensional, multilevel, multidirectional, and action-oriented methods that sharpen focus on, and aim to transform, interlocking and reinforcing systems of oppression. We further identify opportunities for advancing HIV-related intersectional stigma research, including reducing barriers to and strengthening investments in resources, building capacity to engage in research and implementation of interventions, and creating meaningful pathways for HIV-related intersectional stigma research to produce structural change. Ultimately, the expected payoff for incorporating these core elements is a body of HIV-related intersectional stigma research that is both better aligned with the transformative potential of intersectionality and better positioned to achieve the goals of Ending the HIV Epidemic in the United States and globally. (Am J Public Health. 2022;112(S4):S413-S419. https://doi.org/10.2105/AJPH.2021.306710).

OBJECTIVES: To use industry-specific denominators to more accurately examine trends in prevalence rates for occupational cases of elevated blood lead levels (eBLLs) in Pennsylvania. METHODS: We used adult (aged ≥16 years) blood lead level data from Pennsylvania (2007-2018) and industry-specific denominator data from the US Census Bureau's County Business Patterns to calculate prevalence rates for eBLLs, defined as ≥25 µg/dL. RESULTS: Of the 19 904 cases with eBLLs, 92% were due to occupational lead exposure, with 83% from workers in the battery manufacturing industry. In 2018, the prevalence rate of eBLLs for battery manufacturing (8036.4 cases per 100 000 employed battery manufacturing workers) was 543 times the overall Pennsylvania prevalence rate. The prevalence rate for battery manufacturing steeply declined 71% from 2007 to 2018. CONCLUSIONS: The battery manufacturing industry had the highest burden of occupational lead exposure in Pennsylvania, illustrating the importance of using industry-specific denominators to accurately identify sources of lead exposure. Although the prevalence rate of eBLLs declined over time, lead exposure remains a major concern among battery manufacturing workers.

Some racial and ethnic minority groups have experienced disproportionately higher rates of COVID-19-related illness and mortality (1,2). Vaccination is highly effective in preventing severe COVID-19 illness and death (3), and equitable vaccination can reduce COVID-19-related disparities. CDC analyzed data from the National Immunization Survey Adult COVID Module (NIS-ACM), a random-digit-dialed cellular telephone survey of adults aged 18 years, to assess disparities in COVID-19 vaccination coverage by race and ethnicity among U.S. adults during December 2020-November 2021. Asian and non-Hispanic White (White) adults had the highest 1-dose COVID-19 vaccination coverage by the end of April 2021 (69.6% and 59.0%, respectively); 1-dose coverage was lower among Hispanic (47.3%), non-Hispanic Black or African American (Black) (46.3%), Native Hawaiian or other Pacific Islander (NH/OPI) (45.9%), multiple or other race (42.6%), and American Indian or Alaska Native (AI/AN) (38.7%) adults. By the end of November 2021, national 1-dose COVID-19 vaccination coverage was similar for Black (78.2%), Hispanic (81.3%), NH/OPI (75.7%), and White adults (78.7%); however, coverage remained lower for AI/AN (61.8%) and multiple or other race (68.0%) adults. Booster doses of COVID-19 vaccine are now recommended for all adults (4), but disparities in booster dose coverage among the fully vaccinated have become apparent (5). Tailored efforts including community partnerships and trusted sources of information could be used to increase vaccination coverage among the groups with identified persistent disparities and can help achieve vaccination equity and prevent new disparities by race and ethnicity in booster dose coverage.

The objective of this study was to examine long-term trends in serum cotinine (COT) concentrations, as a measure of secondhand smoke (SHS) exposure, in U.S. nonsmokers using data from the National Health and Nutrition Examination Surveys (NHANES) from 2003 to 2018. We analyzed NHANES serum COT results from 8 continuous NHANES 2 year cycles from 2003 to 2018 using a liquid chromatography–tandem mass spectrometry assay that has been maintained continuously at the Centers for Disease Control and Prevention (CDC) since 1992. Serum COT concentrations (based on the geometric means) among nonsmokers in the U.S. decreased by an average of 11.0% (95% confidence interval (CI) [8.8%, 13.1%]; p < 0.0001) every 2 year cycle. From 2003 to 2018, serum COT concentrations in U.S. nonsmokers declined by 55.0%, from 0.065 ng/mL in 2003–2004 to 0.029 ng/mL in 2017–2018 (p < 0.0001). Significant decreases in serum COT concentrations were observed in all demographic groups. While disparities between these groups seems to be shrinking over time, several previously observed disparities in SHS exposure remain in 2017–2018. Serum COT concentrations of the non-Hispanic Black population remained higher than those of non-Hispanic Whites and Mexican Americans (p < 0.0001). Additionally, serum COT concentrations were significantly higher for children aged 3–5 years than other age groups (p ≤ 0.0002), and men continued to have significantly higher serum COT concentrations than women (p = 0.0384). While there is no safe level of exposure to SHS, the decrease in serum COT concentrations in the U.S. population as well as across demographic groupings represents a positive public health outcome and supports the importance of comprehensive smoke-free laws and policies for workplaces, public places, homes, and vehicles to protect nonsmokers from SHS exposure. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

INTRODUCTION: Secondhand smoke and secondhand aerosol exposure are important public health concerns. This is the first study to present separate estimates of public indoor and outdoor secondhand smoke and secondhand aerosol exposure among U.S. youth. METHODS: Data came from the 2020 National Youth Tobacco Survey, an annual cross-sectional survey of U.S. students in Grades 6-12. Self-reported past 30-day indoor and outdoor secondhand smoke and secondhand aerosol exposures were assessed separately. Weighted prevalence and adjusted prevalence ratios for each outcome were assessed among students overall and stratified by sex, school level, race/ethnicity, sexual orientation, and current tobacco product use; prevalence also was calculated among those who did not currently use tobacco. RESULTS: Exposure to secondhand smoke and secondhand aerosol was reported by 60.6% (95% CI=58.7, 62.4) and 44.5% (95% CI=42.1, 46.9) of U.S. youth, respectively. Among all students, 37.6% (95% CI=36.0, 39.2) and 53.3% (95% CI=51.4, 55.2) reported indoor and outdoor secondhand smoke exposure, respectively; 34.9% (95% CI=32.9, 37.4) and 36.8% (95% CI=34.6, 38.9) reported indoor and outdoor secondhand aerosol exposure, respectively. After adjustment, female versus male students (adjusted prevalence ratio=1.15-1.30) and those who currently use versus do not use combustible tobacco products (adjusted prevalence ratio=1.15-1.36) were more likely to report exposure to all outcomes. CONCLUSIONS: Approximately 1 in 2 students overall reported outdoor secondhand smoke exposure, and 1 in 3 students reported exposures to each indoor secondhand smoke, indoor secondhand aerosol, and outdoor secondhand aerosol. Separate estimates of indoor and outdoor secondhand smoke and secondhand aerosol exposure, along with data on correlates of exposure, provide information to support comprehensive indoor and outdoor smoke-free policies.

Airborne substances in the nanoparticle size range would mostly follow the primary airflow patterns, which emphasizes the importance of understanding the airflow dynamics to effectively control exposures to toxic airborne substances such as nanometer-sized particles. Chemical fume hoods are being utilized as primary controls for worker exposure to airborne substances including nanometer-scale materials due to their overall availability and history of effective contaminant. This study evaluates the impact of the body wake on the containment performance of a conventional constant air volume (CAV) and a new “nano” ventilated enclosing hood using numerical methods. Numerical studies have been performed to predict leaks of nanomaterials handled inside the hood. We further performed experiments in this study to validate the velocity fields predicted by the computational fluid dynamic (CFD) models and to provide a basis for evaluating the impact of the human body on fume hood containment performance. Using these validated models, the effects of the motion of the arms moving out of the hood were simulated using CFD to assess how one of the common actions of an operator/user may affect containment. Results of our simulations show that areas near the hood side airfoils and directly behind the sash are more likely to concentrate contaminants released inside the hood and potentially result in leakage based on internal airflow patterns. These areas are key to monitor when assessing fume hood containment along with the operator/mannequin breathing zone to get an understanding of potential leak areas which might contribute to operator exposure as well as exposure to others inside the laboratory. © 2022, The Author(s), under exclusive licence to Springer Nature B.V.

SignificanceThis paper compares the probabilistic accuracy of short-term forecasts of reported deaths due to COVID-19 during the first year and a half of the pandemic in the United States. Results show high variation in accuracy between and within stand-alone models and more consistent accuracy from an ensemble model that combined forecasts from all eligible models. This demonstrates that an ensemble model provided a reliable and comparatively accurate means of forecasting deaths during the COVID-19 pandemic that exceeded the performance of all of the models that contributed to it. This work strengthens the evidence base for synthesizing multiple models to support public-health action.

INTRODUCTION: State-level monitoring of changes in tobacco product use can inform tobacco control policy and practice. This study examines the state-specific prevalence of current cigarette smoking, smokeless tobacco use, and E-cigarette use and related cigarette quitting behaviors among E-cigarette users during 2017-2018. METHODS: Data from the 2017 and 2018 Behavioral Risk Factor Surveillance System were used to assess state-specific current use of cigarettes, smokeless tobacco, and E-cigarettes among adults aged 18 years. Analyzed in 2021, state-specific tobacco product estimates and relative percentage changes between 2017 and 2018 were computed for U.S. states and the District of Columbia. Chi-square tests captured subgroup differences, and logistic regression assessed changes over time. RESULTS: Prevalence of adult current cigarette smoking and smokeless tobacco use varied across states and remained relatively stable during 2017-2018, whereas the prevalence of adult E-cigarette use significantly increased during 2017-2018 among 19 of 36 states that collected Behavioral Risk Factor Surveillance System E-cigarette data in 2018. In all states and the District of Columbia during 2017-2018 combined, the percentage of current cigarette smoking among current E-cigarette users was higher than that of never cigarette smoking; the percentage of attempting to quit cigarette smoking in the past year among dual users of cigarettes and E-cigarettes was >50%. CONCLUSIONS: During 2017-2018, the prevalence of adult current cigarette smoking and smokeless tobacco use varied across states and remained relatively stable, whereas adult E-cigarette use prevalence significantly increased. Comprehensive state-based tobacco prevention and control efforts are warranted to reduce the morbidity and mortality attributed to the use of all tobacco products, including E-cigarettes, among U.S. adults.

New York City (NYC) introduced a universal prekindergarten program in 2014 that mandated influenza vaccination for enrollment. We conducted a difference-in-difference-in-differences study to evaluate the program using 2012 to 2019 MarketScan claims data. After the introduction of the program, influenza vaccine uptake among four-year-old children in NYC during the subsequent seasons increased by 6.3 to 9.8 percentage points compared with the rest of New York State. (Am J Public Health. Published online ahead of print March 24, 2022: e1-e5. https://doi.org/10.2105/AJPH.2022.306765).

INTRODUCTION: National Immunization Survey-Child data are used widely to assess childhood vaccination coverage in the U.S. This study compares National Immunization Survey-Child coverage estimates with estimates using other supplementary data sources. METHODS: Retrospective analyses in 2021 assessed vaccination coverage of privately insured children for vaccines recommended by the Advisory Committee on Immunization Practices by age 2 years, using the 2015-2018 MarketScan Commercial Claims and Encounters databases and the 2018-2019 Healthcare Effectiveness Data and Information Set. The coverage estimates were compared statistically with those using the 2016-2018 National Immunization Survey-Child. RESULTS: Estimated coverage ranged from 69.9% (≥2 doses of influenza vaccine) to 95.0% (≥3 doses of diphtheria, tetanus toxoids, and acellular pertussis vaccine) using the MarketScan Commercial Claims and Encounters data and from 68.0% (≥2 doses of influenza vaccine) to 92.2% (≥1 dose of measles, mumps, and rubella vaccine) using the Healthcare Effectiveness Data and Information Set. The difference between the MarketScan Commercial Claims and Encounters and National Immunization Survey-Child estimates ranged from 0.1 to 4.3 percentage points and was statistically significant for 6 of the 13 assessed vaccines/doses and percentage of children receiving no vaccinations. The difference between the Healthcare Effectiveness Data and Information Set and National Immunization Survey-Child estimates ranged from 0.4 to 7.2 percentage points and was statistically significant for 6 of the 10 assessed vaccines/doses. CONCLUSIONS: For certain vaccines and populations of interest, the National Immunization Survey-Child, MarketScan Commercial Claims and Encounters, and Healthcare Effectiveness Data and Information Set data might give comparable coverage of privately insured children.

The field of global autism research lost a pioneer, champion, and innovator with the passing of Dr Li-Ching Lee in May 2021. Dr Lee served as the editor for a special issue in Autism on global autism research (2017, Volume 21, Issue 5) and her substantial impact on autism research and autistic individuals and their families in low- and middle-income countries warrants a place in this special issue. While a giant in the professional arena, her large impact on science is minor compared to the compassion, kindness, and love she brought to her family, friends, and her professional communities at Johns Hopkins, across institutions, her native Taiwan, and the areas in which she conducted her research. Dr Lee was immensely humble and intensely focused on harnessing epidemiology to positively impact the lives of people with autism and developmental disabilities. Her humility and professional dedication was coupled with a desire to keep her own challenges and triumphs private including her courageous efforts to stave off cancer while accomplishing so much in support of others.

BACKGROUND: Seasonal influenza causes substantial morbidity and mortality among older U.S. adults and those with comorbid health conditions. OBJECTIVE: To describe seasonal influenza vaccine uptake and identify factors associated with missed opportunities for influenza vaccination. DESIGN: Retrospective cohort study. SETTING: Medicare fee-for-service claims. PARTICIPANTS: 31.6 million U.S. adults continuously enrolled under Medicare Parts A and B during the 2018 to 2019 influenza season. MEASUREMENTS: Influenza vaccine uptake and missed opportunities by patient demographic characteristics, high-risk status (that is, ≥1 condition increasing influenza complication risk), Medicare-Medicaid dual-eligibility status, and health care provider visits (that is, vaccination opportunities). RESULTS: Overall, 50.5% of beneficiaries aged 19 years or older had Medicare claims for influenza vaccination: 31.6% among people aged 19 to 64 years and 54% among people aged 65 years or older. More White beneficiaries were vaccinated (52.9%) than Black (34.9%) or Hispanic (30.4%) beneficiaries. Uptake was higher (56.1%) for beneficiaries with high-risk conditions than for those without (27.6%). Among unvaccinated beneficiaries overall, 77.4% visited a provider during influenza season; among unvaccinated beneficiaries with and without high-risk conditions, 91% and 43%, respectively, had seen a provider at least once. The proportion of beneficiaries with missed opportunities for influenza vaccination was 44.2% and was higher for beneficiaries in the non-high-risk group (59.1%) than those in the high-risk group (42.2%). Uptake was lower and proportions of missed opportunities were higher among beneficiaries in younger age groups, of Black and Hispanic race/ethnicity, without high-risk conditions, or with Medicare-Medicaid dual eligibility. LIMITATIONS: Influenza vaccinations without claims could not be captured. Data on reasons for nonvaccination were unavailable. CONCLUSION: Influenza vaccination coverage for Medicare beneficiaries continues to be suboptimal, with missed opportunities despite availability of influenza vaccination with no copayment. Disparities persist in vaccination uptake by race/ethnicity. PRIMARY FUNDING SOURCE: None.

Introduction: The impact of defining secondhand smoke exposure among nonsmokers using an expanded serum cotinine range is currently unknown. Methods: This study assessed the trends in secondhand smoke exposure prevalence among a nationally representative sample of 23,753 U.S. nonsmokers aged ≥3 years. Serum cotinine ranges of 0.05–10 ng/mL (established) and of 0.015–10 ng/mL (expanded) were analyzed in 2021 using data from the 2011–2018 National Health and Nutrition Examination Survey. Results: During 2011–2018, the percentage of people with a serum cotinine range of 0.05–10 ng/mL remained stable (25.3% to 24.6%) across most sociodemographic subgroups but declined significantly among adult Mexican Americans aged ≥20 years (23.9% to 14.1%). However, the percentage of people with serum cotinine range of 0.015–10 ng/mL significantly declined (58.3% to 52.3%) among male individuals (60.9% to 55.0%), among female individuals (56.2% to 50.0%), among adults aged ≥20 years (55.8% to 49.2%), among Mexican Americans (60.9% to 41.2%), among people with a college degree or higher (44.4% to 36.0%), among those who rented their housing (71.7% to 62.5%), among people not living with someone who smoked inside the home (56.1% to 50.0%), and among Mexican Americans aged ≥20 years (60.9% to 39.1%) (all p<0.05 for linear trend test). Conclusions: Expanding the serum cotinine range to 0.015–10 ng/mL more than doubles the estimated proportion of U.S. nonsmokers exposed to secondhand smoke. In contrast to a serum cotinine range of 0.05–10 ng/mL, it suggests that progress has been made in reducing population-level secondhand smoke exposure during 2011–2018, especially among nonsmokers experiencing lower exposure levels. © 2021

A two-dose series of the recombinant zoster vaccine (RZV, Shingrix) was licensed by the Food and Drug Administration in 2017 and recommended by the Advisory Committee on Immunization Practices in 2018 for adults in the United States age 50 years and older. Despite the health benefits of shingles vaccination, coverage has remained low, with financial barriers among healthcare providers identified as one potential factor. This study estimates the reimbursement levels for RZV among a large sample of privately insured individuals in the US from the 2018 IBM® MarketScan® Commercial Claims and Encounters database. Of 198,534 claims for an RZV dose, the mean reimbursement was $149. Most claims (83%) exceeded $140, which was the private sector vaccine price reported on the CDC vaccine price list in April 2018. These results can be useful for providers considering procuring RZV and for state immunization programs considering ways to improve vaccination coverage.

BACKGROUND: New cases of COVID-19 continue to occur daily in the United States, and the need for medical treatments continues to grow. Knowledge of the direct medical costs of COVID-19 treatments is limited. OBJECTIVE: To examine the characteristics of older adults with COVID-19 and their costs for COVID-19-related medical care. DESIGN: Retrospective observational study. SETTING: Medical claims for Medicare fee-for-service (FFS) beneficiaries. PATIENTS: Medicare FFS beneficiaries aged 65 years or older who had a COVID-19-related medical encounter during April through December 2020. MEASUREMENTS: Patient characteristics and direct medical costs of COVID-19-related hospitalizations and outpatient visits. RESULTS: Among 28.1 million Medicare FFS beneficiaries, 1 181 127 (4.2%) sought COVID-19-related medical care. Among these patients, 23.0% had an inpatient stay and 4.2% died during hospitalization. The majority of the patients were female (57.0%), non-Hispanic White (79.6%), and residents of an urban county (77.2%). Medicare FFS costs for COVID-19-related medical care were $6.3 billion; 92.6% of costs were for hospitalizations. The mean hospitalization cost was $21 752, and the mean length of stay was 9.2 days; hospitalization cost and length of stay were higher if the patient needed a ventilator ($49 441 and 17.1 days) or died ($32 015 and 11.3 days). The mean cost per outpatient visit was $164. Patients aged 75 years or older were more likely to be hospitalized, but their hospitalizations were associated with lower costs than for younger patients. Male sex and non-White race/ethnicity were associated with higher probability of being hospitalized and higher medical costs. LIMITATION: Results are based on Medicare FFS patients. CONCLUSION: The COVID-19 pandemic has resulted in substantial disease and economic burden among older Americans, particularly those of non-White race/ethnicity. PRIMARY FUNDING SOURCE: None.

BACKGROUND: The Community Preventive Services Task Force (CPSTF) has recommended several interventions that have been demonstrated to be effective at increasing vaccination coverage. OBJECTIVE: Conduct a systematic review to examine the costs of interventions designed to increase vaccination coverage among children and adolescents in the United States. DATA SOURCES: PubMed, EconLit, Embase, and Cochrane. STUDY ELIGIBILITY, PARTICIPANTS, AND INTERVENTIONS: Peer-reviewed articles from January 1, 2009 to August 31, 2019. APPRAISAL AND SYNTHESIS METHODS: Studies were identified with systematic searches of the literature, reviewed for inclusion criteria, abstracted for data on intervention, target population, costs, and risk of bias. Cost measures were reported as costs per child in the target population, costs per vaccinated child, incremental costs per vaccinated child, and costs per vaccine dose administered. Results were stratified by intervention type, vaccine, and age group. RESULTS: Thirty-seven studies were identified for full-text review. Across all interventions and age groups, the cost per child ranged from $0.10 to $537.38, and the incremental cost per vaccinated child ranged from $6.52 to $5,098.57. Provider assessment and feedback interventions had the lowest (median) cost per child ($0.17) and a healthcare system-based combined intervention with multiple components had the lowest (median) incremental cost per vaccinated child ($26.65). A community-based combined intervention with multiple components had the highest median cost per child ($537.38) and the highest median incremental cost per vaccinated child ($5,098.57). LIMITATIONS: A small number of included intervention types and inconsistent cost definition. CONCLUSIONS: There is substantial variability in the costs of CPSTF-recommended interventions.

On March 13, 2020, the United States declared a national emergency concerning the novel coronavirus disease 2019 (COVID-19) outbreak (1). In response, many state and local governments issued shelter-in-place or stay-at-home orders, restricting nonessential activities outside residents' homes (2). CDC initially issued guidance recommending postponing routine adult vaccinations, which was later revised to recommend continuing to administer routine adult vaccines (3). In addition, factors such as disrupted operations of health care facilities and safety concerns regarding exposure to SARS-CoV-2, the virus that causes COVID-19, resulted in delay or avoidance of routine medical care (4), likely further affecting delivery of routine adult vaccinations. Medicare enrollment and claims data of Parts A (hospital insurance), B (medical insurance), and D (prescription drug insurance) were examined to assess the change in receipt of routine adult vaccines during the pandemic. Weekly receipt of four vaccines (13-valent pneumococcal conjugate vaccine [PCV13], 23-valent pneumococcal polysaccharide vaccine [PPSV23], tetanus-diphtheria or tetanus-diphtheria-acellular pertussis vaccine [Td/Tdap], and recombinant zoster vaccine [RZV]) by Medicare beneficiaries aged ≥65 years during January 5-July 18, 2020, was compared with that during January 6-July 20, 2019, for the total study sample and by race and ethnicity. Overall, weekly administration rates of the four examined vaccines declined by up to 89% after the national emergency declaration in mid-March (1) compared with those during the corresponding period in 2019. During the first week following the national emergency declaration, the weekly vaccination rates were 25%-62% lower than those during the corresponding week in 2019. After reaching their nadirs of 70%-89% below 2019 rates in the second to third week of April 2020, weekly vaccination rates gradually began to recover through mid-July, but by the last study week were still lower than were those during the corresponding period in 2019, with the exception of PPSV23. Vaccination declined sharply for all vaccines studied, overall and across all racial and ethnic groups. While the pandemic continues, vaccination providers should emphasize to patients the importance of continuing to receive routine vaccinations and provide reassurance by explaining the procedures in place to ensure patient safety (3).

OBJECTIVE: To assess the prevalence of diagnosed diabetes among employed U.S. adults from 36 states by occupation group using data from 2014-2018 Behavioral Risk Factor Surveillance System. METHODS: Prevalence of diabetes was calculated by 22 broad and 93 detailed occupation groups among a sample of 366,633 employed respondents. Wald chi-square values were used to determine the significance of associations between diabetes and occupation groups after adjusting for sex, age, and race/ethnicity. RESULTS: The prevalence of diabetes was 6.4% among employed U.S. adults. The three broad occupation groups with the highest adjusted prevalence of diabetes were protective services (8.9%), farming, fishing, and forestry (8.8%), and community and social services (8.4%). CONCLUSIONS: Prevalence of diabetes differed by occupation. Work-related factors (e.g. shift work, job stress) should be further examined in relation to risk of developing diabetes.