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.

INTRODUCTION: We aim to assess HPV vaccine administration among privately insured populations before and during the COVID-19 pandemic in the United States and stratify the assessments by demographic and geographic characteristics. METHODS: Using the Merative MarketScan Commercial Claims and Encounters Database, we estimated monthly and yearly HPV vaccine administration among people aged 9-26 from 2019 to 2022, measured as the proportion of the enrolled population who received ≥ 1 dose of HPV vaccine during that month or year, and their relative percent change from 2020 to 2022, compared to the same period in 2019, overall and stratified by age group, sex, and urbanicity. RESULTS: HPV vaccine administration in 2020, 2021, and 2022 was lower than in 2019 and continued to decline for all age groups. The relative percent change in rate in 2022 relative to 2019 was -6.0% among children, -38.3% among adolescents, and -42.5% among young adults. The patterns were similar across subgroups, with certain disparities in magnitude. By subpopulations, the highest percent declines in 2022 relative to 2019 in each age group were observed among children in rural areas (-13.5%), male adolescents (-39.8%), and young adults in rural areas (-46.0%). CONCLUSION: During the COVID-19 pandemic, HPV vaccine administration dropped substantially and had not exceeded the pre-pandemic levels by the end of 2022, with larger declines seen among male adolescents and young adults in rural areas. Our results highlight the need for continuing monitoring and targeted intervention strategies to improve HPV vaccine administration.

Eswatini has made substantial progress responding to its HIV epidemic and reducing violence against children. However, adolescent girls and young women with disabilities might be at increased risk for experiencing violence and for HIV infection, compared with those without disabilities. Data from the 2022 Eswatini Violence Against Children and Youth Survey were analyzed to compare HIV infection and violence-related measures by functional disability status (e.g., difficulties in performing functional activities such as seeing, walking, or communicating) among adolescent girls and young women. In 2022, in Eswatini, 14.0% of adolescent girls and young women aged 13-24 years had a reported functional disability. Compared with those without a functional disability, adolescent girls and young women with a functional disability had higher lifetime prevalences of experiencing sexual, physical, and emotional violence. They were also more likely to know where to seek help for experiences of violence. After adjusting for sociodemographic characteristics, HIV testing and infection status, HIV risk factors, sexual risk behaviors, and HIV treatment and prevention services did not differ by functional disability status. Prioritizing accessible, disability-inclusive prevention programs and services might help reduce experiences of violence among adolescent girls and young women with disabilities. Partnering with disability-led and disability-serving organizations and directly with adolescent girls and young women with disabilities to plan and implement programs and services that are disability-inclusive could help ensure that adolescent girls and young women with disabilities are aware of and can access these resources.

BACKGROUND: Nursing home residents experience a large burden of invasive methicillin-resistant Staphylococcus aureus (MRSA) infections. Data are limited regarding nursing home characteristics associated with differences in facility-level invasive MRSA rates. METHODS: We analyzed 2011-2015 data from CDC's Emerging Infections Program (EIP) active population- and laboratory-based surveillance for invasive MRSA cases within seven states. A nursing home-onset case was defined as MRSA cultured from a normally sterile site in a person living in a nursing home 3 days before culture collection. Facility rates were calculated as nursing home-onset cases per 100,000 resident-days. Nursing home resident-day denominators and facility characteristics were obtained from four Centers for Medicare & Medicaid Services (CMS) datasets. A general estimating equations model with a logit link assessed characteristics of the facilities with highest rates comprising 50% of nursing home MRSA cases ("high rates"). RESULTS: The 626 nursing homes in the surveillance area had 2824 invasive MRSA cases; 82% of facilities had at ≥1 case. The 20% of facilities with highest rates (≥3.84 cases/100,000 resident-days) had 50% of nursing home-onset cases. In multivariable regression, facilities with high rates were more likely to have CMS-derived characteristics of presence of a resident with a multidrug-resistant organism; or greater proportions of residents who were male, were short stay (in the facility <100 days), had a nasogastric or percutaneous gastrostomy tube, or require extensive assistance with bed repositioning; and more likely to be in an EIP area with higher hospital-onset MRSA rates. Higher registered nurses staffing levels (hours/resident/day) and higher proportions of White residents were associated with lower rates. CONCLUSIONS: Facilities with higher invasive MRSA rates served residents with more clinical and functional care needs. Increasing registered nurse staffing in high-risk facilities might assist with reduction of invasive MRSA rates. These findings could help prioritize nursing homes for future MRSA prevention work.

Reports of human infections with influenza A(H5N1) clade 2.3.4.4b viruses associated with outbreaks in dairy cows in the United States underscore the need to assess the potential cross-protection conferred by existing influenza immunity. We serologically evaluated ferrets previously infected with an influenza A(H1N1)pdm09 virus for cross-reactive antibodies and then challenged 3 months later with either highly pathogenic H5N1 clade 2.3.4.4b or low pathogenicity H7N9 virus. Our results showed that prior influenza A(H1N1)pdm09 virus infection more effectively reduced the replication and transmission of the H5N1 virus than did the H7N9 virus, a finding supported by the presence of group 1 hemagglutinin stalk and N1 neuraminidase antibodies in preimmune ferrets. Our findings suggest that prior influenza A(H1N1)pdm09 virus infection may confer some level of protection against influenza A(H5N1) clade 2.3.4.4.b virus.

A computer vision (CV) method to automatically measure the revised NIOSH lifting equation asymmetry angle (A) from a single camera is described and tested. A laboratory study involving ten participants performing various lifts was used to estimate A in comparison to ground truth joint coordinates obtained using 3-D motion capture (MoCap). To address challenges, such as obstructed views and limitations in camera placement in real-world scenarios, the CV method utilized video-derived coordinates from a selected set of landmarks. A 2-D pose estimator (HR-Net) detected landmark coordinates in each video frame, and a 3-D algorithm (VideoPose3D) estimated the depth of each 2-D landmark by analyzing its trajectories. The mean absolute precision error for the CV method, compared to MoCap measurements using the same subset of landmarks for estimating A, was 6.25° (SD = 10.19°, N = 360). The mean absolute accuracy error of the CV method, compared against conventional MoCap landmark markers was 9.45° (SD = 14.01°, N = 360). © 2013 IEEE.

Since March 2024, highly pathogenic avian influenza A(H5N1) viruses have caused outbreaks in dairy cattle and poultry in the United States, and they continue to spill over into humans. However, data on human immune response to those viruses is limited. We report neutralizing antibody responses in 2 dairy farm worker H5N1 cases.

BACKGROUND: Parent-reported surveys are commonly used in child health research. However, few national surveys have examined concordance between parent- and teen-reported Adverse Childhood Experiences (ACEs). OBJECTIVE: To examine concordance between parent- and teen-reported ACEs among a nationally representative sample of teens and understand sociodemographic correlates of concordance. PARTICIPANTS AND SETTING: Data were collected as part of the National Health Interview Survey (NHIS), an annual nationally representative survey of the United States, with parent-reported interviews and its follow-back survey, the National Health Interview Survey-Teen (NHIS-Teen), a self-administered web survey of youth aged 12-17 years. METHODS: Parent- and teen-reported ACEs, and several measures of concordance (e.g. weighted Cohen's kappa, prevalence adjusted bias adjusted kappa (PABAK)) are presented. Unadjusted logistic regressions tested associations between sociodemographic characteristics and likelihood of concordance for each ACE. RESULTS: ACEs prevalence based on parent report were lower compared to teen report (e.g. victim of or witnessed violence in the neighborhood, 6.5 % parent-reported vs. 15.5 %, teen-reported). Weighted Cohen's kappa statistics showed fair to moderate agreement (ks ranging from 0.27 to 0.53), with PABAK statistics showing slightly higher levels (ks ranging from 0.41 to 0.88). CONCLUSIONS: There is discordance in ACEs reporting between teens and their parents, with parents less likely to report that their teen experience an ACE than teens are. This emphasizes the importance of collecting information directly from teenagers, which may help inform intervention work.

Prescribed burning is an effective land management tool that provides a range of benefits, including ecosystem restoration and wildfire risk reduction. However, prescribed fires, just like wildfires, introduce smoke that degrades air quality. Furthermore, while prescribed fires help manage wildfire risk, they do not eliminate the possibility of wildfires. It is therefore important to also evaluate fire and smoke impacts from wildfires that may occur after a prescribed burn. In this study, we developed a framework for understanding the air quality and health related trade-offs between wildfires and prescribed fires by simulating a set of counterfactual scenarios including wildfires, prescribed fires, and postprescribed burn wildfires. We applied this framework to the case of the Gatlinburg wildfire and found that emissions from prescribed burns and subsequent wildfire were slightly lower than those from the wildfire itself. This reduction resulted in lower daily average concentrations and exposures of PM(2.5), O(3), and NO(2). Even considering the possibility of a postprescribed burn wildfire, prescribed fires reduced population-weighted daily average PM(2.5), daily maximum 8-h average O(3), and 1-h maximum NO(2) concentrations. In Sevier County, Tennessee where the wildfire occurred, these reductions reached 5.28 μg/m(3), 0.18 ppb, and 1.68 ppb, respectively. The prescribed fires also reduced the person-days smoke exposures from the wildfire. Our results suggest that although prescribed fires cannot eliminate the air quality impacts of wildfires, they can greatly reduce smoke exposure in downwind areas distant from the burn sites.

In the era of genomic characterization of strains for public health microbiology, whole genome sequencing (WGS)-enabled subtyping of Salmonella provides superior discrimination of strains compared to traditional methods such as serotyping. Nonetheless, serotypes are still very useful; they maintain historical continuity and facilitate clear communication. Genetic determination of serotypes from WGS data is now routine. Genetic determination of rarer serotypes can be problematic due to a lack of sequences for rare antigen types and alleles, a lack of understanding of the genetic basis for some antigens, or some inconsistencies in the White-Kauffmann-Le Minor (WKL) Scheme for Salmonella serotype designation. Here, we present a simplified interpretation of serotypes to address the shortcomings of genetic methods, which will allow the streamlined integration of serotype determination into the WGS workflow. The simplification represents a consensus perspective among major U.S. public health agencies and serves as a WGS-oriented interpretation of the WKL Scheme. We also present SeqSero2S, a bioinformatics tool for WGS-based serotype prediction using the simplified interpretation.IMPORTANCEThe utility of Salmonella serotyping has evolved from a primary subtyping method, where the need for strain discrimination justified its complexity, to a supplemental subtyping scheme and nomenclature convention, where clarity and simplicity in communication have become important for its continued use. Compared to phenotypic methods like serotyping, whole genome sequencing (WGS)-based subtyping methods excel in recognizing natural populations, which avoids grouping together strains from different genetic backgrounds or splitting genetically related strains into different groups. This simplified interpretation of serotypes addresses a shortcoming of the original scheme by combining some serotypes that are known to be genetically related. Our simplified interpretation of the White-Kauffmann-Le Minor (WKL) Scheme facilitates a complete and smooth transition of serotyping's role, especially from the public health perspective that has been shaped by the routine use of WGS.

PURPOSE: Surveillance of traumatic brain injury (TBI) in the United States has historically relied on healthcare administrative datasets, but these sources likely underestimate the true burden of TBI. Surveys that ask individuals to self- or proxy-report their experiences with their injuries are an alternative source for surveillance. This paper provides results from a large national survey that ascertained TBI among sampled adults and children. METHODS: Data from the 2023 National Health Interview Survey, a nationally representative household survey of the civilian non-institutionalized US population, were examined. Descriptive and bivariate statistics of demographic and injury characteristics of children and adults who sustained a TBI in the past 12 months were calculated. RESULTS: Analyses reveal that 3.0% (n=9,757,000) of Americans (3.3% of adults and 2.2% of children (aged ≤17 years)) reported a TBI in the past year. Among children who sustained a TBI in the past year, over half (55.5%) sustained their TBI during a sport or recreational activity, and 62.4% were evaluated by a medical professional. The prevalence of TBI and injury characteristics varied by select demographics. CONCLUSION: These findings demonstrate that TBI affects a large number of Americans and highlight the value of TBI surveillance through nationally representative surveys, providing a broad picture of prevalence, healthcare utilization, and setting of injury.

Background: Evidence from the surveillance systems of antimicrobial-resistant (AMR) gonorrhea suggests substantial variation in the prevalence of AMR gonorrhea across populations. However, little is known about the extent to which the population-level demographic, socioeconomic, and health factors (e.g., population density, poverty level, or the prevalence of other sexually-transmitted diseases) are associated with the burden of AMR gonorrhea. We developed a hierarchical Bayesian spatial–temporal logistic regression model to investigate the association between multiple spatially- and temporally-varying predictors and the proportion of isolates with resistance to each one of ciprofloxacin, penicillin, and tetracycline between 2000 and 2019 in the United States (US). Methods: The model was informed by data from the Gonococcal Isolate Surveillance Project (GISP), a sentinel surveillance system to monitor trends in the AMR gonorrhea in the US. During our study period, GISP included 112,487 isolates from the first 25 symptomatic men who have been diagnosed with urethral gonorrhea each month after attending participating sexually-transmitted disease clinics in one of about 30 select cities. Findings: Among 112,487 isolates collected between 2000 and 2019, 16.5%, 13.7%, and 22.2% were resistance to ciprofloxacin, penicillin, and tetracycline. Denser populations were associated with higher prevalence of ciprofloxacin and penicillin resistance (odd ratio (OR): 1.5, 95% with credible interval: [1.29, 1.74] and 1.36 [1.22, 1.52], respectively); West was associated with higher prevalence of ciprofloxacin resistance (OR with respect to Midwest: 14.42 [2.02, 59.27]) and Southeast was associated with higher prevalence of ciprofloxacin and penicillin resistance (OR with respect to Midwest: 6.66 [1.59, 18.20] and 7.59 [2.3, 22.94]); higher prevalence of HIV was associated with higher prevalence of ciprofloxacin and tetracycline resistance (OR: 1.18 [1.01, 1.37] and 1.14 [1.02, 1.28]); and higher incidence of gonorrhea was associated with higher prevalence of tetracycline resistance (OR: 1.08 [1.05, 1.11]). Interpretation: Geographic location and certain population-level characteristics including population density and HIV prevalence could provide insight about the population-level risk of AMR gonorrhea at a county-level. These results could guide the expansion of AMR surveillance systems or access to drug susceptibility testing in areas with characteristics associated with increased prevalence of AMR gonorrhea. Funding: US National Institutes of Health. © 2025 The Author(s)

BACKGROUND: In the United States, older adults have elevated prevalence of latent tuberculosis infection (LTBI) and incidence of tuberculosis (TB). OBJECTIVE: To estimate the health benefits and cost-effectiveness of LTBI testing and treatment among the Medicare-eligible population. DESIGN: Model-based cost-effectiveness analysis. DATA SOURCES: Nationally representative surveys and published evidence. TARGET POPULATION: Medicare-eligible persons aged 65 years or older with at least 1 of 15 factors associated with elevated TB risk, as identified by guidelines from the U.S. Preventive Services Task Force (USPSTF) and other organizations. TIME HORIZON: Lifetime. PERSPECTIVE: Societal. INTERVENTION: One-time offer of LTBI testing and treatment versus no intervention. OUTCOME MEASURES: Lifetime TB cases and deaths averted, quality-adjusted life-years (QALYs) gained, costs, and incremental cost-effectiveness ratios (ICERs). RESULTS OF BASE-CASE ANALYSIS: In 2022, there were an estimated 29.9 million Medicare-eligible persons (95% uncertainty interval [UI], 28.4 to 31.6 million persons) aged 65 years or older with elevated TB risks, including 14.7 million (95% UI, 13.4 to 16.0 million) with USPSTF-recommended factors. In the target population, 4.9 million persons (95% UI, 4.0 to 5.8 million persons) (16.4% [95% UI, 13.9% to 19.1%]) were estimated to have LTBI. Testing and treatment of LTBI was estimated to prevent 10 946 TB cases (95% UI, 4684 to 20 579 cases) and 2579 TB deaths (95% UI, 1106 to 4882 deaths), with 13 234 lifetime QALYs (95% UI, 5343 to 25 519 lifetime QALYs) gained. For the overall target population and for persons with USPSTF-recommended factors, ICERs were $192 000 (95% UI, $92 000 to $503 000) and $155 000 (95% UI, $77 000 to $393 000) per QALY gained, respectively. RESULTS OF SENSITIVITY ANALYSIS: The ICER was $109 000 (95% UI, $49 000 to $285 000) per QALY gained for 65-year-olds newly eligible for Medicare. LIMITATION: Health benefits from averted post-TB sequelae were not estimated. CONCLUSION: Medicare-eligible persons represent approximately one third of all U.S. persons with LTBI. Testing and treatment of LTBI in this population could lead to substantial reductions in TB and TB-related mortality, particularly among 65-year-olds newly eligible for Medicare. PRIMARY FUNDING SOURCE: Centers for Disease Control and Prevention.

BACKGROUND: Additive manufacturing or 3-dimensional (3D) printing is an emerging technology with increasing prevalence in non-industrial settings such as university and school settings. However, printers are often located in spaces not designed for this purpose. METHODS: 3D-printer use in 11 university and K-12 schools was evaluated by identifying emissions using area air sampling for volatile organic compounds (VOCs) and particle counting instruments (PCIs) measuring ultrafine particulate (UFP) and evaluating controls to reduce potential exposure. Ventilation in printer locations was also characterized. RESULTS: VOCs and UFP were identified during 3D printing. Best-practice recommendations were provided to school health and safety staff to protect users, including workers and students. Recommendations included installing and implementing engineering controls, administrative controls, and personal protective equipment (PPE) to minimize exposure to 3D printer emissions. IMPLICATIONS: School health and safety staff can translate findings and recommendations for these 11 evaluations to identify 3D-printing areas on their campuses and use principles of industrial hygiene to protect workers and students and prevent the movement of emissions. CONCLUSIONS: VOCs and UFP were detected during 3D printing. There were opportunities to improve health and safety practices and reduce potential exposure when using 3D printing technologies.

PURPOSE: To examine associations between pregnancy timing relative to the COVID-19 pandemic, maternal SARS-CoV-2 infection, and perinatal outcomes. METHODS: We conducted a retrospective cohort study of 189,097 singleton births in South Carolina (2018-2021). Pregnancy timing relative to the pandemic was classified as pre-pandemic (delivered before March 1, 2020), partial pandemic overlap (conceived before and delivered during the pandemic), or pandemic (conceived and delivered during the pandemic). We examined COVID-19 testing, severity, and timing. Modified Poisson regression models with robust variance were used. RESULTS: Compared to the pre-pandemic group, the partial overlap group had lower risks of low birthweight (LBW) (aRR=0.93, 95 % CI 0.89-0.97) and preterm birth (PTB) (aRR=0.91, 95 % CI 0.88-0.95). The pandemic group had increased risks of LBW (aRR=1.10, 95 % CI 1.06-1.14), PTB (aRR=1.10, 95 % CI 1.07-1.14), and NICU admissions (aRR=1.13, 95 % CI 1.09-1.17) but a decreased risk of breastfeeding initiation (aRR=0.98, 95 % CI 0.97-0.98). Moderate-to-severe COVID-19 symptoms increased PTB (aRR=1.34, 95 % CI 1.13-1.58). Third-trimester COVID-19 infection increased LBW (aRR=1.23, 95 % CI 1.10-1.37), PTB (aRR=1.18, 95 % CI 1.07-1.30), and NICU admissions (aRR=1.17, 95 % CI 1.05-1.30). CONCLUSIONS: Our findings highlight the importance of considering both maternal COVID-19 infection and pandemic-related factors in optimizing perinatal outcomes.

Carbon dioxide (CO2) is the most significant greenhouse gas and one of the strategies to reduce CO2 emission is to convert CO2 into commercially valuable products. Currently, methods that can effectively capture and convert CO2 into carbonate nanomaterials, which have unique applications in various fields, have rarely been reported, and there are no universal methods that can capture and convert CO2 into different nano-carbonates. In this study, an innovative two-step strategy based on amino acids was developed to produce multiple different carbonate nanoparticles, including CaCO3, BaCO3, and Ag2CO3 nanoparticles with diameters of 70 nm, 50 nm, and 7 nm, respectively. Fundamentally important, the nuclear magnetic resonance data clearly demonstrated that it was the amino acids (e.g., glycine) that dictated the formation of carbonate nanoparticles. In the presence of amino acids, a competition in forming nanoparticles and microparticles was observed, and the formation of nanoparticles was proportional to the carbamate formed from CO2 reacting with amino acids. In the absence of amino acids, carbonate microparticles (∼ 2 µm) were formed. © 2024 Elsevier B.V.

Commutability is where the measurement response for a reference material (RM) is the same as for an individual patient sample with the same concentration of analyte measured using two or more measurement systems. Assessment of commutability is essential when the RM is used in a calibration hierarchy or to ensure that clinical measurements are comparable across different measurement procedures and at different times. The commutability of three new Standard Reference Materials(®) (SRMs) for determining serum total 25-hydroxyvitamin D [25(OH)D], defined as the sum of 25-hydroxyvitamin D(2) [25(OH)D(2)] and 25-hydroxyvitamin D(3) [25(OH)D(3)], was assessed through an interlaboratory study. The following SRMs were assessed: (1) SRM 2969 Vitamin D Metabolites in Frozen Human Serum (Total 25-Hydroxyvitamin D Low Level), (2) SRM 2970 Vitamin D Metabolites in Frozen Human Serum (25-Hydroxyvitamin D(2) High Level), and (3) SRM 1949 Frozen Human Prenatal Serum. These SRMs represent three clinically relevant situations including (1) low levels of total 25(OH)D, (2) high level of 25(OH)D(2), and (3) 25(OH)D levels in nonpregnant women and women during each of the three trimesters of pregnancy with changing concentrations of vitamin D-binding protein (VDBP). Twelve laboratories using 17 different ligand binding assays and eight laboratories using nine commercial and custom liquid chromatography-tandem mass spectrometry (LC-MS/MS) assays provided results in this study. Commutability of the SRMs with patient samples was assessed using the Clinical and Laboratory Standards Institute (CLSI) approach based on 95% prediction intervals or a pre-set commutability criterion and the recently introduced International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) approach based on differences in bias for the clinical and reference material samples using a commutability criterion of 8.8%. All three SRMs were deemed as commutable with all LC-MS/MS assays using both CLSI and IFCC approaches. SRM 2969 and SRM 2970 were deemed noncommutable for three and seven different ligand binding assays, respectively, when using the IFCC approach. Except for two assays, one or more of the three pregnancy levels of SRM 1949 were deemed noncommutable or inconclusive using different ligand binding assays and the commutability criterion of 8.8%. Overall, a noncommutable assessment for ligand binding assays is determined for these SRMs primarily due to a lack of assay selectivity related to 25(OH)D(2) or an increasing VDBP in pregnancy trimester materials rather than the quality of the SRMs. With results from 17 different ligand binding and nine LC-MS/MS assays, this study provides valuable knowledge for clinical laboratories to inform SRM selection when assessing 25(OH)D status in patient populations, particularly in subpopulations with low levels of 25(OH)D, high levels of 25(OH)D(2), women only, or women who are pregnant.

INTRODUCTION: Despite progress in systemic lupus erythematosus (SLE) treatment, challenges persist in medication adherence due to side effects and costs. Precision nutrition, particularly adjusting fatty acid intake, offers a cost-effective strategy for enhancing SLE management. Prior research, including our own, indicates that increased consumption of omega-3 polyunsaturated fatty acids (PUFAs) correlates with improved outcomes in SLE patients. Here we build upon these findings by investigating associations between serum fatty acids-grouped as PUFAs, monounsaturated fatty acids (MUFAs), and saturated fatty acids (SFAs)-and lupus activity, pain, and sleep disturbance. METHODS: Using data from 418 participants with SLE in the Michigan Lupus Epidemiology and Surveillance (MILES) Cohort, we examined associations between serum levels of 25 fatty acids determined by GC-MS and patient-reported outcomes. Disease activity, pain, and sleep quality were assessed using standardized questionnaires. Generalized additive models and partial residual plots were utilized to examine the linearity of fatty acid effects. Variable selection was performed using Least Absolute Shrinkage and Selection Operator (LASSO), followed by multiple linear regression adjusting for sociodemographic factors. RESULTS: Findings indicated favorable associations between ω-3 PUFAs-and, to a lesser extent, ω-6 PUFAs-and patient-reported outcomes, while MUFAs and SFAs showed unfavorable associations. Docosahexaenoic acid (DHA), an omega-3 PUFA, exhibited the most robust favorable associations across all outcomes. Additionally, the omega-3 α-linolenic acid (ALA) was linked to reduced pain, whereas eicosapentaenoic acid (EPA), another omega-3, was associated with worsened disease activity and pain. Among omega-6 PUFAs, dihomo-γ-linolenic acid (DGLA) was favorably associated with disease activity, while the omega-9 PUFA Mead acid was linked to increased pain. DISCUSSION: These findings underscore the prospect that increased tissue levels of long-chain omega-3 PUFAs, particularly DHA, are favorably associated with SLE outcomes. Although further research is needed to establish causal relationships, existing evidence supports the role of omega-3 PUFAs in managing cardiovascular and chronic kidney disease, common SLE comorbidities. Most study participants exhibited low omega-3 PUFA status, suggesting substantial potential for improvement through targeted dietary interventions and supplementation. This study supports a potential role for precision nutrition in comprehensive SLE management, considering the impact of PUFAs, SFAs and MUFAs.