INTRODUCTION: In Eswatini, HIV incidence among adolescent girls and young women (AGYW), aged 15-24 years, is 10 times that of their male peers. Despite the World Health Organization's 2014 recommendation for post-exposure prophylaxis (PEP) to be available for all HIV exposures, it has been underutilized among youth. PEP is an effective prevention method, and a better understanding of the characteristics, risk factors and behaviours that are associated with PEP awareness, as a precursor to effective use, is needed. METHODS: Using data from the 2022 Eswatini Violence Against Children and Youth Survey, we used logistic regression models to explore the relationships between PEP awareness and a set of hypothesized explanatory variables among AGYW aged 13-24 years who had ever had sex (N = 2648). Explanatory variables included socio-demographic characteristics, sexual risk factors and sexual health behaviours. RESULTS: A slight majority (57.3%) of AGYW who had ever had sex were aware of PEP as an HIV prevention method. PEP awareness increased with age (aOR 1.1, 95% CI 1.0, 1.1) and was higher among AGYW who had a sexual partner whose age was 5 or more years older in the past 12 months (aOR 1.4, 95% CI 1.1, 1.9), those who had ever taken part in an HIV prevention programme (aOR 1.6, 95% CI 1.2, 2.3) and those who had ever heard of pre-exposure prophylaxis (aOR 8.1, 95% CI 6.4, 10.2). Participants who were ever married or partnered (aOR 0.7, 95% CI 0.5, 1.0) and those who engaged in inconsistent condom use with non-spouse/main partner or multiple partners in the past 12 months (aOR 0.8, 95% CI 0.6, 1.00) had lower odds of knowing about PEP in the adjusted model. CONCLUSIONS: We identified sub-optimal PEP awareness among Swazi AGYW who had ever had sex. Our findings suggest that engagement in HIV prevention programmes increased PEP awareness and that knowing about pre-exposure prophylaxis (PrEP) was associated with PEP awareness. Future efforts could include tailored PEP awareness activities and campaigns to resonate with AGYW at elevated risk of HIV and integration of PEP education into routine sexual and reproductive service delivery and school-based HIV curriculum.

The purpose of this study was to determine the feasibility of facility-level wastewater surveillance in the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in skilled nursing facility (SNF) wastewater using three concentration methods, as well as a proof-of-concept for antimicrobial resistance (AR) genes/organisms detection. Wastewater effluent samples were collected from an SNF over an 8-week period. Wastewater was concentrated using electronegative membrane filtration (enMF), polyethylene glycol precipitation, and Nanotrap(®) magnetic virus particles (NP). Quantification of the genome copy concentration from SARS-CoV-2 and bovine respiratory syncytial virus (BRSV), a SARS-CoV-2 surrogate spiked into all samples, was performed with droplet digital polymerase chain reaction (ddPCR). Wastewater sample aliquots were also enriched in microbiological culture media and screened for organisms with AR phenotypes on selective and differential agars. Multiplex real-time PCR was used to detect a broad array of carbapenem resistance genes. SARS-CoV-2 was detected and quantified from a single enMF-concentrated wastewater sample. The highest concentration of BRSV came from enMF-concentrated samples. Klebsiella, Enterobacter, Citrobacter, and Escherichia coli exhibiting AR phenotypes were successfully detected using culture-dependent approaches. Culture-independent, multiplex PCR indicated that bla(KPC) was the main carbapenemase gene detected in wastewater samples. Facility-level wastewater surveillance could be a useful strategy for SNFs.

Monitoring the zoonotic potential of emerging SARS-CoV-2 variants in animals is a critical tool to protect public health. We conducted a longitudinal study in 47 households reporting people with COVID-19 in Texas from January to July 2022, during the first Omicron wave. We evaluated 105 people and 100 of their companion animals for SARS-CoV-2 infection at three sequential sampling events, starting 0-5 days after the first reported diagnosis of COVID-19 in the house. SARS-CoV-2 RNA was detected in 68% of people from 43 households; 95.5% of people had antibodies to SARS-CoV-2. Dogs were the only animal species positive by RT-qPCR (5.4%; 3/55), and their viral loads were consistently lower compared with those from household members. Additionally, infected dogs did not yield infectious virus. Clusters of Omicron BA.1.1, BA.2.3.4, and BA.5.1.1 in people, dogs, and a dog food bowl confirmed human-to-dog transmission within households, with no evidence of onward transmission from the infected dogs. Eleven dogs (n = 55) and two cats (n = 26) had neutralizing antibodies against SARS-CoV-2. Overall, infection was not associated with clinical signs in pets; only two animals that tested negative for SARS-CoV-2 were reported to be sick. Nearly one-third (30.2%) of households with active COVID-19 had pets exposed to SARS-CoV-2, similar to our pre-Omicron studies; however, the incidence of infection in cats was lower compared with pre-Omicron. These differences suggest that the zoonotic transmission dynamics in households may differ based on variants.IMPORTANCESARS-CoV-2 infects a broad diversity of mammals, with companion dogs and cats at risk of infection via close contact with infectious owners. Longitudinal studies sampling pets and their owners over time are essential to understanding within-household SARS-CoV-2 transmission dynamics. Our repeated sampling in households with people reporting COVID-19 found that 68% of the people in 43 households had active SARS-CoV-2 infection during at least one of the three sampling events. Although none of the 27 cats were positive, 3/55 dogs had active infections. Household clusters of three different Omicron subvariants were involved in these human-to-dog transmission events, and our data suggest reduced infection in pets during Omicron transmission compared with pre-Omicron waves. Protecting pets from SARS-CoV-2 infection remains important, as viral evolution can be accompanied by changes in the infectiousness of different hosts.

One of the hallmarks of lung cancers is the earlier metastasis resulting from the dissemination of cancer cells. Although accumulating evidence suggests that bacterial infection may be involved in the development of the metastasis of lung cancer, few studies have explored the molecular mechanisms of bacterial infection in the dissemination of lung cancer cells. A series of studies have indicated that certain Gram-negative bacteria are able to hijack antigen-presenting cells (APCs) via interaction with DC-SIGN (CD209) receptors to facilitate the dissemination of pathogens, including viruses, bacteria, fungi, and parasites. Therefore, in the present work, it was hypothesized that bacterial infection may promote the dissemination of cancer cells via the utilization of a similar mechanism. It was first discovered that human lung cancer tissues contain a very high diversity of bacterial DNAs, indicating the co-existence of lung cancer tissues and microbial organisms. It was then found that lung cancer tissues express DC-SIGN, leading to binding with a Gram-negative bacterium, Shigella sonnei. Further, this bacterium was found to be able not only to induce the expression of DC-SIGN on macrophages but also to enhance the migration ability of lung cancer cells in vitro. The in vivo experiments supported these observations, showing that in wild-type (WT) mice, Shigella sonnei infection significantly increased tumor size, weight, and metastatic nodules compared to SIGNR1 knockout (KO) mice. These observations were associated with increasing DC-SIGN expression in WT mice. Finally, these results suggest that bacterial infections could play a significant role in promoting lung cancer progression and metastasis via DC-SIGN-mediated mechanisms.

PURPOSE: This study sought to determine the influence of pandemic-related stress and adverse childhood experiences (ACEs) on adolescent mental health during the COVID-19 pandemic and examine the protective role of school connectedness (SC). METHODS: Cohort data from the two-wave COVID Experiences (CovEx) surveys of US adolescents were analyzed. CovEx surveys were administered online in English to US adolescents aged 13-19 years using the NORC AmeriSpeak and NORC AmeriSpeak Teen panels, probability-based panels designed to be representative of the US household population. Data from Wave 1 (W1, October to November 2020 [N(W1) = 727]) and Wave 2 (W2, April to May 2021, N(W2) = 569) were analyzed. Pairwise deletion was used for missing data. Depressive symptoms were measured using the nine-item Patient Health Questionnaire (PHQ W2), and symptoms of trauma-related disorders were assessed using the six-item Trauma Symptom Checklist for Children (TSCC W2). SC was assessed at W1 and W2 using three items measuring: closeness to people at school; perception of teachers caring; and feeling like a part of school. ACEs since birth were assessed using eight items at W1. Items align with the core ACE constructs included in the Behavioral Risk Factor Surveillance System ACE module and the Youth Risk Behavior Survey. Pandemic-related stress exposure at W1 was measured using the seven-item Pandemic-Related Stress Index (PRSI). Structural equation modeling was used to examine direct and indirect associations. RESULTS: In each model, ACE W1 and PRSI W1 were significantly associated with higher depressive symptoms and symptoms of trauma-related disorders. PRSI W1 partially mediated the association between ACE W1 and symptoms of poor mental health, with higher exposure to ACE W1 associated with higher PRSI W1 scores and higher PRSI W1 scores associated with more symptoms of poor mental health at W2. SC at W1 and W2 each were negatively associated with ACEs W1 and PRSI W1. SC W1 and SC W2 significantly attenuated depressive symptoms and symptoms of trauma-related disorders at W2 and therein partially mediated the relationships between ACEs, PRSI, and symptoms of poor mental health. DISCUSSION: Findings illustrate the interplay between ACE and pandemic-related stress and their association with adolescent mental health and highlight the strength of SC as a protective factor. The results emphasize the importance of incorporating multisystem, trauma-informed approaches and prioritizing connectedness in efforts to address the adolescent mental health crisis.

INTRODUCTION: HIV pre-exposure prophylaxis (PrEP) is an effective biomedical intervention for preventing HIV; however, PrEP adoption initially lagged across sub-Saharan Africa (SSA) and may have been affected by barriers to engagement in PrEP care. Stable, heterosexual HIV-serodifferent couples are a priority population of PrEP expansion efforts. We assessed factors associated with PrEP awareness and willingness among HIV-serodifferent couples in SSA to guide PrEP interventions for this population. METHODS: We conducted a cross-sectional analysis using pooled data from nationally representative, two-stage cluster sampling, HIV-focused household surveys completed during 2019-2022 in seven African countries. We analysed data from 1738 persons without HIV aged ≥15 years in stable, heterosexual HIV-serodifferent couples and included clinical information from their partners with HIV. Higher HIV risk was defined by unawareness of a partner's HIV-positive status or having a partner with an unsuppressed viral load (≥200 copies/ml). Lower HIV risk was defined by awareness of a partner's HIV-positive status and having a partner with a suppressed viral load (<200 copies/ml). We conducted multivariable logistic regression using survey weights and jackknife variance estimation to assess factors associated with PrEP awareness and willingness. RESULTS: Overall, 18.1% were aware of PrEP, 69.1% were willing to use PrEP and 5.1% had ever used PrEP. Forty-four percent had higher HIV risk. Higher odds of PrEP awareness were associated with being female (adjusted odds ratio [aOR]: 1.73; 95% confidence interval [CI]: 1.15-2.59), secondary education or higher (aOR: 6.42; 95% CI: 2.97-13.91) and lower HIV risk (aOR: 1.58; 95% CI: 1.00-2.48). Higher odds of PrEP willingness were associated with employment in the past year (aOR: 1.55; 95% CI: 1.01-2.37), previous PrEP awareness (aOR: 2.44; 95% CI: 1.36-4.36) and lower HIV risk (aOR: 1.70; 95% CI: 1.07-2.70). CONCLUSIONS: Persons in stable, heterosexual HIV-serodifferent couples with lower HIV risk were more aware of and willing to use PrEP than those with higher risk. Our findings highlight the importance of encouraging HIV status disclosure, educating about HIV-serodifference and PrEP, and providing PrEP linkage during HIV testing and prevention counselling to increase PrEP awareness, willingness and use among HIV-serodifferent couples in SSA.

In April 2024, following the annual International Committee on Taxonomy of Viruses (ICTV) ratification vote on newly proposed taxa, the phylum Negarnaviricota was expanded by 1 new order, 1 new family, 6 new subfamilies, 34 new genera and 270 new species. One class, two orders and six species were renamed. Seven families and 12 genera were moved; ten species were renamed and moved; and nine species were abolished. This article presents the updated taxonomy of Negarnaviricota as currently accepted by the ICTV, providing an essential annual update on the classification of members of this phylum that deepen understandings of their evolution, and supports critical public health measures for virus identification and tracking.

No large studies have evaluated whether the human oral microbiome is directly associated with mortality. We evaluated prospective associations between the oral microbiome, measured using 16S rRNA gene sequencing, from participants aged 20-69 years in the 2009-2012 cycles of the National Health and Nutrition Examination Survey (NHANES) and all-cause mortality (N=7,721, representing ∼194 million individuals). Alpha diversity was inversely associated with mortality, and some significant associations were observed with the beta diversity matrices. Higher relative abundances of Granulicatella and Lactobacillus were associated with increased risk, while Bacteroides was associated with decreased all-cause mortality at the genus level. Results suggest oral bacterial communities may be important contributors to health and disease.

New intervention methods and product formulations are needed to better control pyrethroid-resistant Aedes aegypti populations and mitigate the risk of mosquito-borne disease. ReMoa Tri is a novel adulticidal space spray that utilizes a different mode of action than the commonly used adulticides: pyrethroids and organophosphates. As a triple-action space spray, ReMoa Tri combines three components: Fenpropathrin, a mixed-type I/II pyrethroid; abamectin, a macrocyclic lactone; and C8910, a patented fatty acid chain. Prior studies performed by Collier Mosquito Control District showed that ReMoa Tri is effective at controlling type I pyrethroid-resistant Ae. aegypti mosquitoes. To further validate these results and the performance of ReMoa Tri, we conducted a semi-field evaluation using ground and aerial ULV (ultra-low volume) applications with field-caught deltamethrin-resistant Ae. aegypti and a susceptible Ae. aegypti laboratory strain. Ground evaluations tested ReMoa Tri and a type II pyrethroid-based product, DeltaGard. While ReMoa Tri was equally effective against Collier's deltamethrin-resistant Ae. aegypti and the susceptible laboratory strain, DeltaGard was effective against both strains, with reduced efficacy at farther distances. Similarly, aerial evaluations also showed that ReMoa Tri was equally effective against Collier's deltamethrin-resistant Ae. aegypti strain and susceptible laboratory strain. This study further confirms ReMoa Tri's potential as an effective alternative to pyrethroid-based adulticides, both in ground and aerial applications, for managing pyrethroid-resistant Ae. aegypti.

INTRODUCTION: Prior research has observed increased risks for numerous chronic conditions among individuals with Long COVID. Chronic conditions have been associated with employment limitations and increased economic hardships. Data from the Behavioral Risk Factor Surveillance System (BRFSS) present an opportunity to examine changes by employment status in the prevalence of a range of chronic conditions between 2019 (pre-pandemic) and, in 2022, by self-reported COVID-19 or Long COVID. METHODS: We assessed the prevalence of chronic conditions in 2022 by employment status and self-reported COVID-19 and Long COVID history using data from BRFSS for adults of prime working age (25-54 years) who were employed for wages, self-employed, unemployed less than 1 year, unemployed 1 year or more, or unable to work. For each chronic condition (coronary heart disease and myocardial infarction [combined], stroke, ever and current asthma, chronic obstructive pulmonary disease, kidney disease, diabetes, and arthritis), we generated adjusted prevalence ratios (aPRs) comparing 2022 prevalence by COVID-19/Long COVID category to prevalences among respondents in that employment status before the pandemic (2019). RESULTS: The prevalence of both asthma and diabetes increased significantly between 2019 and 2022 among respondents in all included employment categories and COVID-19/Long COVID histories combined. Among employed respondents with Long COVID in 2022, aPRs using 2019 prevalence figures for all employed respondents as a baseline for comparison had statistically significant elevations for every chronic condition assessed. CONCLUSIONS: The increased prevalence of a range of chronic conditions between 2019 and 2022 among adults with Long COVID may present a burden for individuals, the workplace, the healthcare system, and the economy. Additional research in a longitudinal context could better quantify these associations. Efforts to prevent, identify, and treat Long COVID can reduce this burden.

Persons with HIV (PWH) have disproportionate hepatitis C virus (HCV) infection prevalence and liver-related morbidity and mortality. These sequelae may be alleviated by curative direct-acting antiviral (DAA) treatment; however, longitudinal effects of DAAs on clinical biomarkers are not well-characterized. We included PWH enrolled in the HIV Outpatient Study (HOPS) who were prescribed DAAs and DAA-naïve PWH of comparable age, sex, race/ethnicity, and fibrosis-4 (FIB-4) profiles. We contrasted the DAA effect on longitudinal trajectories of immunological and hepatic markers using generalized linear mixed models (GLMM) from 2010 to 2020. Of 347 PWH/HCV coinfection, median age was 53.8 years, 30.5% were women, 67.1% were publicly insured, 44.4% were non-Hispanic Black, and 153 (44.1%) were prescribed DAAs (median follow-up = 3.55 years). In multivariable GLMM analysis, DAA treatment was associated with [mean (95% confidence interval)] faster decline in alanine aminotransferase of -7.86 mu/µL/year (-15.39, -0.33) and faster increase in platelets of 6.99 mu/µL/year (2.89, 11.09). Changes in aspartate aminotransferase were comparable between groups. FIB-4 decreased in the DAA-treated but not the DAA-naïve group: -0.26 (-0.41, -0.11) versus 0.02 (-0.16, 0.20)/year, respectively. There was a faster increase in cluster of differentiation (CD)4 count of 0.05 (0.03-0.08) and CD8 count of 0.04 (0.02-0.07) log cells/mL/year in the DAA-treated compared with the DAA-naïve group (p < .001), but not in the CD4/CD8 ratio (p = .36). Among U.S. PWH/HCV coinfection treated with DAAs, we found modest changes in immunological markers and substantial improvements in hepatic markers modeled over 4 years of DAA treatment. Curative DAA treatment is critical to mitigate advanced liver fibrosis.

Rabies is a fatal zoonotic disease caused by Lyssavirus rabies (RABV) and related negative strand RNA viruses from the Lyssavirus genus (family Rhabdoviridae). The LN34 assay targets the highly conserved leader region and nucleoprotein gene of the lyssavirus genome and utilizes degenerate primers and a TaqMan probe containing locked nucleotides to detect RNA across the diverse Lyssavirus genus. A negative finding for rabies should be made only if a full cross-section of the brain stem and three lobes of the cerebellum are examined; however, identification of lyssavirus RNA in any tissue is diagnostic of rabies infection. Tissue is collected and homogenized in TRIzol reagent, which also inactivates the virus. RNA extraction is performed using a spin column-based commercial extraction kit. Master mixes are prepared in a clean space and aliquoted into a 96 well plate before adding sample RNA. In clinical settings, each sample is tested by real-time RT-PCR for the presence of lyssavirus RNA in triplicate and singly for host β -actin mRNA. Positive and negative controls are included at extraction and real-time RT-PCR steps of the protocol. Data analysis involves manual adjustment of the thresholds to standardize Ct values across instrument runs. Positive results are determined by the presence of typical amplification in the pan-lyssavirus assay (Ct ≤ 35). Negative results are determined by the absence of typical amplification in the pan-lyssavirus assay and detection of host β-actin mRNA (Ct ≤ 33). Observation of values outside of these ranges or failure of the assay controls can invalidate the run or result in inconclusive results for a specimen. The protocol should be closely followed to ensure high assay sensitivity and specificity. Procedural modifications can affect assay performance and lead to false positive, false negative, or uninterpretable results.

The authors would like to correct the following statement in abstract section: "Among 112,487 isolates collected between 2000 and 2019, 16.5%, 13.7%, and 22.2% were resistance to ciprofloxacin, penicillin, and tetracycline." Corrected paragraph "Among 112,487 isolates collected between 2000 and 2019, 14.5%, 12.2%, and 20.4% were resistance to ciprofloxacin, penicillin, and tetracycline." Copyright © 2025 The Author(s)

BACKGROUND: Mandatory public health reporting of influenza laboratory results and vaccine doses administered in the state of California can provide estimates of seasonal influenza vaccine effectiveness (VE). METHODS: We analyzed linked influenza immunization registry and laboratory reporting data among California residents aged ≥6 months tested for influenza during the 2023-24 influenza season (October 2023-June 2024). Individually linked laboratory reporting included influenza molecular or viral culture test result. Odds Ratios (OR) and 95% confidence intervals (CI) contrasted odds of documented 2023-2024 vaccination among persons with influenza-positive tests versus persons with negative influenza tests. VE was calculated as (1 - adjusted OR) x 100 using logistic regression, adjusting for patient age, race, ethnicity, week of specimen collection, and county of residence. RESULTS: Among 1,382,142 laboratory reports, 129,253 persons (9%) (129,253) had a positive influenza test result, of whom 415,390 (30%) had documented influenza vaccination ≥14 days before test date. VE against laboratory-confirmed influenza was 41% (95% CI, 40%-42%). VE was 32% (95% CI, 31%-33%) against influenza A, 68% (95% CI, 66%-69%) against influenza B, and 26% (95% CI, 24%-29%) among adults aged ≥65 years. CONCLUSIONS: Influenza vaccination was associated with prevention of laboratory-confirmed influenza. Results demonstrated feasibility of assessing seasonal influenza vaccine effectiveness using linked immunization and laboratory data from public health surveillance systems.

Control of endemic infectious diseases is often impeded by the lack of sensitive and specific yet easy-to-obtain biomarkers. Antibody fragment crystallizable (Fc) regions, such as Fc glycosylation, which are modulated in a pathogen-specific and disease-state-specific manner have emerged as potential such biomarkers. However current methods to perform large-scale antigen-specific antibody Fc feature screening for biomarker discovery often require too much sample volume, cost and expertise to be realistically realizable in many disease contexts. Here we present a simple, flexible and reconfigurable microfluidic device, made using rapid prototyping techniques, that can perform highly multiplexed and high-throughput biomarker discovery targeting both antibody fragment antigen-binding (Fab) and Fc features including antigen specificity, antibody isotypes, subclasses, N-glycosylation and Fc receptor binding. Using integration of an antigen microarray and reconfigurable microfluidics for sample and probe distribution, the device can perform a total of 1400 assays measuring 100 antibody Fab and Fc features per sample from a low sample volume (15 μL). The device demonstrates cleanroom-free simple fabrication and ease of use comparable to standard immunoassay platforms. Performance comparable to existing methods was validated and a biomarker screening for schistosomiasis, a helminth-mediated infection, was performed using clinical samples where antibody subclass-based biomarkers were successfully identified distinguishing current infection from former infection and endemic controls.

IMPORTANCE: The oral microbiome likely plays key roles in human health. Yet, population-representative characterizations are lacking. OBJECTIVE: To characterize the composition, diversity, and correlates of the oral microbiome in US adults. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study analyzed data from the population-representative National Health and Nutrition Examination Survey (NHANES) from 2009 to 2012. Microbiome data were made publicly available in 2024. NHANES participants were aged 18 to 69 years and provided oral rinse samples in 1 of 2 consecutive NHANES cycles (2009-2010 and 2011-2012). EXPOSURES: Demographic, socioeconomic, behavioral, anthropometric, metabolic, and clinical characteristics. MAIN OUTCOMES AND MEASURES: Oral microbiome measures, characterized through 16S ribosomal RNA gene sequencing, included α diversity (observed amplicon sequence variants [ASVs], Faith phylogenetic diversity, Shannon-Weiner Index, and Simpson Index); β diversity (unweighted UniFrac, weighted UniFrac, and Bray-Curtis dissimilarity); and prevalence and relative abundance at phylum level through genus level. Analyses accounted for the NHANES complex sample design. RESULTS: This study included 8237 US adults aged 18 to 69 years, representing 202 314 000 individuals (102 813 000 men [50.8%]; mean [SD] age, 42.3 [14.4] years; 9.3% self-reported as Mexican American, 12.1% as non-Hispanic Black, 64.7% as non-Hispanic White, 5.9% as other Hispanic, and 8.1% as other non-Hispanic individuals). The oral microbiome encompassed 37 bacterial phyla, 99 classes, 212 orders, 446 families, and 1219 genera. Five phyla (Firmicutes, Actinobacteria, Bacteroidetes, Proteobacteria, and Fusobacteria) and 6 genera (Veillonella, Streptococcus, Prevotella 7, Rothia, Actinomyces, and Gemella) were present in nearly all US adults (weighted prevalence, >99%). These genera were the most abundant, accounting for 65.7% of total abundance. Observed ASVs showed a quadratic pattern with age (peak at 30 years), were similar by sex, significantly lower among non-Hispanic White individuals, and increased with greater body mass index (BMI), alcohol use, and periodontal disease severity. All covariates together accounted for a modest proportion of oral microbiome variability as measured by β diversity: R2 = 8.7% (95% CI, 8.4%-9.1%) for unweighted UniFrac, R2 = 7.2% (95% CI, 6.6%-7.7%) for weighted UniFrac, and R2 = 6.3% (95% CI, 3.1%-6.7%) for Bray-Curtis matrices. By contrast, relative abundance of a few genera explained a high percentage of variability in β diversity for weighted UniFrac: Aggregatibacter (R2 = 22.4%; 95% CI, 22.1%-22.8%), Lactococcus (R2 = 21.6%; 95% CI, 20.9%-22.3%), and Haemophilus (R2 = 18.4%; 95% CI, 18.1%-18.8%). Prevalence and relative abundance of numerous genera were associated with age, race and ethnicity, smoking, BMI categories, alcohol use, and periodontal disease severity. CONCLUSIONS AND RELEVANCE: This cross-sectional study of the oral microbiome in US adults showed that a few genera were universally present and a different set of genera explained a high percentage of oral microbiome diversity across the population. This comprehensive characterization provides a contemporary reference standard for future studies.

OBJECTIVE: Promoting health during adolescence can support long-term well-being, especially for teens diagnosed with attention-deficit/hyperactivity disorder (ADHD), who face increased risks due to the disorder's impact on development and health behaviors. ADHD is often associated with difficulties in social interactions, a higher likelihood of bullying involvement, and co-occurring mental health conditions. These factors may also be influenced by health factors such as physical activity, sleep quality, and screen time usage. Nationally representative teen self-reports provide a novel perspective on ADHD-related health outcomes compared with relying on parent reports. METHOD: We used nationally representative data from the National Health Interview Survey (NHIS) and NHIS-Teen from July 2021 to December 2022, to examine teen-reported health and well-being factors, stratified by parent-reported ADHD diagnoses among teens aged 12 to 17 years. Weighted prevalence estimates and adjusted prevalence ratios (aPR) adjusting for teen age, sex, and family income, all with 95% confidence intervals (CIs), were calculated. RESULTS: Just over 10% of teens had ADHD and they reported higher prevalence of bullying victimization (aPR = 1.64, CI = 1.27-2.11), difficulties making friends (aPR = 1.83, CI = 1.15-2.90), difficulty getting out of bed (aPR = 1.29, CI = 1.02-1.64), irregular wake times (aPR = 2.17, CI = 1.45-3.25), and >4 hours daily screen time (aPR = 1.26, CI = 1.05-1.52) than teens without ADHD; teens with ADHD reported a lower prevalence of lacking peer support (aPR = 0.70, CI = 0.51-0.96). CONCLUSION: Teens with ADHD face distinct challenges related to social-emotional well-being and health behaviors that support overall wellness. Findings may inform opportunities for health promotion among teens with ADHD.

IMPORTANCE: Invasive group A Streptococcus (GAS) infections are associated with substantial morbidity, mortality, and economic burden. OBJECTIVE: To update trends in invasive GAS disease incidence rates in 10 US states between 2013 and 2022. DESIGN, SETTING, AND PARTICIPANTS: Clinical, demographic, and laboratory data for invasive GAS cases were collected as part of population-based surveillance in the Active Bacterial Core surveillance network covering 34.9 million persons across 10 US states. A case was defined as isolation of GAS from a normally sterile site or from a wound in a patient with necrotizing fasciitis or streptococcal toxic shock syndrome between January 1, 2013, and December 31, 2022. Demographic and clinical data were collected from medical record review. From 2013 to 2014, available isolates were emm typed and antimicrobial susceptibilities determined using conventional methods; from 2015 onward, whole-genome sequencing was used. MAIN OUTCOMES AND MEASURES: Incidence rates by sex, age, race, and selected risk factors; clinical syndromes, outcomes, and underlying patient conditions; and isolate characteristics, including antimicrobial susceptibility. RESULTS: Surveillance in 10 US states identified 21 312 cases of invasive GAS from 2013 through 2022, including 1981 deaths. The majority of cases (57.5%) were in males. Among case-patients, 1272 (6.0%) were aged 0 to 17 years, 13 565 (63.7%) were aged 18 to 64 years, and 6474 (30.4%) were 65 years or older; 5.5% were American Indian or Alaska Native, 14.3% were Black, and 67.1% were White. Incidence rose from 3.6 per 100 000 persons in 2013 to 8.2 per 100 000 persons in 2022 (P < .001 for trend). Incidence was highest among persons 65 years or older; however, the relative increase over time was greatest among adults aged 18 to 64 years (3.2 to 8.7 per 100 000 persons). Incidence was higher among American Indian or Alaska Native persons than in other racial and ethnic groups. People experiencing homelessness, people who inject drugs, and residents of long-term care facilities had substantially elevated GAS incidence rates. Among tested isolates, those nonsusceptible to macrolides and clindamycin increased from 12.7% in 2013 to 33.1% in 2022. CONCLUSIONS: Invasive GAS infections increased substantially in 10 US states during a surveillance period from 2013 to 2022. Accelerated efforts to prevent and control GAS are needed, especially among groups at highest risk of infection.

BACKGROUND: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been widespread since 2020 and will likely continue to cause substantial recurring epidemics. However, understanding the underlying infection burden and dynamics, particularly since late 2021 when the Omicron variant emerged, is challenging. Here, we leverage extensive surveillance data available in New York City (NYC) and a comprehensive model-inference system to reconstruct SARS-CoV-2 dynamics therein through August 2023. METHODS: We fit a metapopulation network SEIRSV (Susceptible-Exposed-Infectious-(re)Susceptible-Vaccination) model to age- and neighborhood-specific data of COVID-19 cases, emergency department visits, and deaths in NYC from the pandemic onset in March 2020 to August 2023. We further validate the model-inference estimates using independent SARS-CoV-2 wastewater viral load data. RESULTS: The validated model-inference estimates indicate a very high infection burden-the number of infections (i.e., including undetected asymptomatic/mild infections) totaled twice the population size ( > 5 times documented case count) during the first 3.5 years. Estimated virus transmissibility increased around 3-fold, whereas estimated infection-fatality risk (IFR) decreased by >10-fold during this period. The detailed estimates also reveal highly complex variant dynamics and immune landscape, and higher infection risk during winter in NYC over the study period. CONCLUSIONS: This study provides highly detailed epidemiological estimates and identifies key transmission dynamics and drivers of SARS-CoV-2 during its first 3.5 years of circulation in a large urban center (i.e., NYC). These transmission dynamics and drivers may be relevant to other populations and inform future planning to help mitigate the public health burden of SARS-CoV-2. | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in late 2019, causing the COVID-19 pandemic and multiple epidemics since. Using comprehensive surveillance data and mathematical tools, this study estimated SARS-CoV-2 infection burden and severity over time as well as examined key factors affecting the epidemic patterns, during its first 3.5 years of circulation in New York City. Study findings highlight the emergence of new SARS-CoV-2 strains and higher infection risk in winter as key epidemic drivers during the study period; these may be observed in other populations and could inform future planning to help mitigate the public health burden of SARS-CoV-2. | eng

Aedes aegypti (L.), the primary mosquito vector of arboviruses such as dengue and Zika, has a global distribution that includes the southern United States. Control of this peridomestic mosquito is challenging. Ultra-low volume (ULV) pyrethroid sprays are commonly used against adult mosquitoes to break transmission during a disease outbreak, although efficacy data are limited. This study examined the impacts of ULV sprays on Ae. aegypti vectorial capacity as measured by vector abundance and age structure in two cities in Maricopa County, AZ with robust Ae. aegypti populations and a well-developed vector management program. We assessed impacts of routine ULV applications conducted by Maricopa Vector Control Division during the summer rainy seasons of 2017 to 2019 to determine whether existing practices mainly targeting Culex spp. also suppressed Ae. aegypti. The insecticide formulations applied for Culex spp. control (Duet and Permanone 30-30) did not affect Ae. aegypti abundance, but Duet applications slightly reduced female mosquito age. Deltagard, the insecticide product used specifically against Ae. aegypti, was only applied three times in 2018 over small areas, so efficacy assessment was difficult. Deltagard was associated with a small decline in Ae. aegypti abundance. CDC bottle bioassays of Ae. aegypti collected in the study area showed resistance to permethrin and deltamethrin. Overall, the lack of significant mosquito population suppression or age structure changes after insecticide applications suggest that current tools used by Maricopa Vector Control Division are unlikely to effectively control Ae. aegypti populations in the event of a disease outbreak.

OBJECTIVES: This study aimed to gain a better understanding of how resistance determinants in Salmonella and Campylobacter contribute to 14-, 15- and 16-membered ring macrolide resistance phenotypes. METHODS: A total of 126 azithromycin-resistant (AziR) and -susceptible (AziS) [Salmonella (n = 45) and Campylobacter (n = 81)] isolates were selected for antimicrobial susceptibility testing (AST) and WGS. RESULTS: Seven functional macrolide resistance determinants, including erm(42), mef(C), mph(A), mph(E), mph(G), msr(E) and one point mutation (acrB_R717L) were previously identified in AziR  Salmonella. These determinants resulted in an 8- and 16-fold 15-membered ring gamithromycin and azithromycin MIC50 increase, respectively, compared with AziS isolates, with a maximum MIC increase of up to 256. The same isolates also exhibited up to a 32-fold 14-membered ring erythromycin MIC50 increase. Salmonella with erm(42) or acrB_R717L showed up to 128-fold 16-membered ring macrolide tildipirosin MIC increase, compared with isolates that were susceptible or carrying other macrolide resistance genes. In Campylobacter, all AziR isolates had an MIC50 ranging from 32 to 4096 mg/L of the various membered ring macrolides, whereases all susceptible Campylobacter isolates had significantly lower MIC50 values, ranging from 0.25 to 4 mg/L. The MIC50 of the various ring macrolides for AziR  Campylobacter isolates was 16- to 4096-fold higher when compared with AziS  Campylobacter. CONCLUSIONS: Our study has revealed that the function of macrolide resistance genes in Salmonella can be associated with specific macrolide ring structures, whereas the single 23S rRNA mutation in Campylobacter results in significantly elevated MICs of all macrolides. for the various ring macrolides.

Using National Healthcare Safety Network data, an interrupted time series of intravenous antimicrobial starts (IVAS) among hemodialysis patients was performed. Annual adjusted rates decreased by 6.64% (January 2012-March 2020) and then further decreased by 8.91% until December 2021. IVAS incidence trends have decreased since 2012, including during the early COVID-19 pandemic.

OBJECTIVE: The Diabetes in Children, Adolescents, and Young Adults (DiCAYA) network seeks to create a nationwide electronic health record (EHR)-based diabetes surveillance system. This study aimed to develop a DiCAYA-wide EHR-based computable phenotype (CP) to identify prevalent cases of diabetes. RESEARCH DESIGN AND METHODS: We conducted network-wide chart reviews of 2,134 youth (aged <18 years) and 2,466 young adults (aged 18 to <45 years) among people with possible diabetes. Within this population, we compared the performance of three alternative CPs, using diabetes diagnoses determined by chart review as the gold standard. CPs were evaluated based on their accuracy in identifying diabetes and its subtype. RESULTS: The final DiCAYA CP requires at least one diabetes diagnosis code from clinical encounters. Subsequently, diabetes type classification was based on the ratio of type 1 diabetes (T1D) or type 2 diabetes (T2D) diagnosis codes in the EHR. For both youth and young adults, the sensitivity, specificity, and positive and negative predictive values (PPV and NPV, respectively) in finding diabetes cases were >90%, except for the specificity and NPV in young adults, which were slightly lower at 83.8% and 80.6%, respectively. The final DiCAYA CP achieved >90% sensitivity, specificity, PPV, and NPV in classifying T1D, and demonstrated lower but robust performance in identifying T2D, consistently maintaining >80% across metrics. CONCLUSIONS: The DiCAYA CP effectively identifies overall diabetes and T1D in youth and young adults, though T2D misclassification in youth highlights areas for refinement. The simplicity of the DiCAYA CP enables broad deployment across diverse EHR systems for diabetes surveillance.

PURPOSE: An increase in injection drug use (IDU) has placed new populations at risk for HIV. Understanding the spatial and temporal patterns of HIV diagnoses and care outcomes is crucial to identify gaps in care for people who inject drugs (PWID). METHODS: We analyzed CDC's National HIV Surveillance System (NHSS) data from 2016 to 2022 to examine regional trends and rural-urban differences in linkage to HIV care within one month and viral suppression within six months of diagnosis among individuals aged 13 and older with HIV attributed to IDU. Rural-urban populations were defined using US Department of Agriculture-Economic Research Service (USDA-ERS) Rural-Urban Continuum Codes (RUCC), and trends were assessed using estimated annual percentage change (EAPC). RESULTS: From 2016 to 2022, HIV diagnoses attributed to IDU increased in large rural counties and small to medium urban counties but linkage to care and viral suppression remained unchanged in these areas. Conversely, diagnoses in large urban counties declined while linkage to care and viral suppression increased. CONCLUSIONS: These findings highlight disparities in HIV diagnoses, linkage to care, and viral suppression across rural and urban areas, emphasizing the need to address these gaps to improve care for PWID and inform public health policies.

Work-related injuries from overexertion, particularly lifting, are a major concern in occupational safety. Traditional assessment tools, such as the Revised NIOSH Lifting Equation (RNLE), require significant training and practice for deployment. This study presents an approach that integrates tactile gloves with computer vision (CV) to enhance the assessment of lifting-related injury risks, addressing the limitations of existing single-modality methods. Thirty-one participants performed 2747 lifting tasks across three lifting risk categories (LI < 1, 1 ≤ LI ≤ 2, LI > 2). Features including hand pressure measured by tactile gloves during each lift and 3D body poses estimated using CV algorithms from video recordings were combined and used to develop prediction models. The Convolutional Neural Network (CNN) model achieved an overall accuracy of 89 % in predicting the three lifting risk categories. The results highlight the potential for a real-time, non-intrusive risk assessment tool to assist ergonomic practitioners in mitigating musculoskeletal injury risks in workplace environments.

OBJECTIVES: Serologic testing is a useful adjunct for the diagnosis of Lyme disease, a major public health problem in certain US regions. We aimed to determine whether Lyme disease serologic testing and results differed by sex and age group. METHODS: We identified 2 cohorts of individuals across all ages who underwent serologic testing for Lyme disease at a national reference laboratory in 2019 (cohort 1) and 2022 (cohort 2). If an individual had multiple tests in the same year, we included only the first test. We excluded individuals who had been tested in the previous 5 years. RESULTS: Cohorts 1 and 2 consisted of 578 052 and 550 674 people, respectively. Fewer males than females were tested in cohort 1 (42.7% vs 57.3%) and cohort 2 (42.3% vs 57.7%), although similar numbers were tested for both sexes among nonadults. More males than females had a positive test result in cohort 1 (53.9% more males) and cohort 2 (52.9% more males). The odds ratio of receiving a positive test result among males versus females was 2.09 (95% CI, 2.01-2.17) in cohort 1 and 2.12 (95% CI, 2.05-2.19) in cohort 2. Among people with positive test results, females (except children) were more likely than males to have positive immunoglobulin M and negative immunoglobulin G results, which can serve as a marker of early infection (odds ratio = 1.43 [95% CI, 1.31-1.55] in cohort 1 and 1.38 [95% CI, 1.29-1.47] in cohort 2). CONCLUSIONS: Further studies are needed to understand whether the observed differences in Lyme disease testing and positivity result from sex- and age-associated disparities in social behavior, health care seeking, clinical practice, or other factors.

We report a single case of invasive pneumococcal disease (IPD) by serotype 4, multilocus sequence type 10172 (ST10172) isolate with vanG-type resistance genes and reduced vancomycin susceptibility. The isolate was recovered during 2022 from a 66-year-old resident with bacteremic pneumococcal pneumonia within a Centers for Disease Control and Prevention Active Bacterial Core surveillance (ABCs) site hospital. The patient had received 23-valent pneumococcal polysaccharide vaccine and there was no evidence of concurrent or prior receipt of vancomycin in the previous year. Serotype 4/ST10172 IPD has shown increases within western ABCs sites, and the recent acquisition of a vanG element warrants close monitoring of this lineage.

BACKGROUND: The COVID-19 pandemic affected sexually transmitted infection (STI) testing and diagnosis rates in the United States (U.S.), but these patterns have not been well characterized among people with HIV (PWH). METHODS: We analyzed medical records data of HIV Outpatient Study (HOPS) participants seen for HIV care from January 2019-March 2021, with ≥1 CD4+ cell count and viral load test results recorded. We used Poisson regression models to estimate rate ratio (RR) and 95% confidence interval (CI) to compare STI testing and diagnoses rates on/after vs before March 1, 2020 (early COVID-19 pandemic (pandemic) vs. pre-pandemic). RESULTS: Of 2,311 eligible patients, STI tests (STI cases, primarily defined as tests that were positive) were as follows during the analysis timeframe: 4,991 gonorrhea (157), 4,978 chlamydia (135), and 4,216 syphilis (114). Comparing pandemic vs. pre-pandemic periods, STI testing RRs were 0.78 for both gonorrhea (CI: 0.73-0.82) and chlamydia (CI: 0.73-0.83), and 0.93 for syphilis (CI: 0.88-0.99); diagnosis rates were not statistically different. Multivariable models showed reduced testing for gonorrhea (adjusted RR 0.79, CI: 0.72-0.87) and chlamydia (adjusted RR 0.78, CI: 0.71-0.86) for men who have sex with men, but not for other HIV transmission groups. CONCLUSIONS: The fallout of the COVID-19 pandemic on sexual health may not be seen for some time. Despite reduced STI testing, rates of STI diagnoses did not decrease. It will take a return to more routine screening and improved access to sexual health care to uncover the true impact of undetected or untreated STIs.