BACKGROUND: Rapid linkage to HIV care and antiretroviral therapy (ART) initiation is now the standard of care for treating people with HIV (PWH). Understanding and intervening on barriers to rapid enrollment and ART initiation are needed to meet the goals of the Ending the HIV Epidemic in the U.S. initiative. METHODS: We analyzed 2021 data from the Medical Monitoring Project on characteristics of 455 facilities providing care to a national probability sample of U.S. PWH. RESULTS: Overall, only 19.9% (95% CI 16.0%-23.9%) of HIV facilities could routinely offer a first appointment in <1 business day (rapid enrollment). The most commonly reported barriers to rapid enrollment were insufficient provider capacity (56%), patient preference (50%), and patients lacking required documents (19%). The most commonly reported documents required for enrollment were positive HIV antibody or detectable viral load (52%), government-issued identification (36%), proof of residence (24%), and proof of income (22%). RWHAP-funded facilities more frequently required these documents than non-RWHAP-funded facilities. Most facilities (73%) were routinely able to obtain a 30-day supply of ART during the first HIV care provider visit (rapid ART initiation). The most commonly reported barriers to rapid ART included unavailable test results (56%), delays in getting medication paid for (49%), unavailable starter packs (36%), inability to afford copayment (31%), and patient preference (29%). CONCLUSION: Structural, provider-related, or patient-level barriers may delay rapid clinic enrollment or ART initiation. HIV care programs can benefit from removing barriers to care, easing requirements for clinical enrollment and ART prescriptions, and improving patient readiness.

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.

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

BACKGROUND: The U.S.'s National HIV/AIDS Strategy (NHAS) prioritizes improving QoL among people with HIV (PWH) but co-occurrence of different aspects of QoL is not well described. We developed and applied a novel, multi-item assessment of poor quality of life (QoL) among PWH, and examined associations with selected outcomes. SETTING: 2018-2021 CDC Medical Monitoring Project data on 15,855 U.S. PWH. METHODS: The poor QoL index, measured by the number of indicators of poor QoL experienced included: poor/fair self-rated health, unmet needs for mental health services, and subsistence needs (hunger/food insecurity, unstable housing/homelessness, unemployment). Score distributions were analyzed alongside data on individual QoL indicators. Associations with selected adverse outcomes were assessed, including not being retained in care, missing ≥1 HIV medical appointments, missing ≥1 ART dose, not having sustained viral suppression, and having ≥1 emergency room visit or ≥1 hospitalization. RESULTS: Overall, 55.1% of PWH had ≥1 indicator of poor QoL; 8.4% had ≥3 indicators. Over a quarter (26.5%) of people who inject drugs experienced ≥3 indicators of poor QoL. A large percentage of people aged 18-24 years and transgender women had subsistence needs; 36.4% of cisgender Black women had poor/fair self-rated health. After adjusting for age, race/ethnicity, and gender, higher poor QoL index scores-and each indicator of poor QoL-were associated with worse outcomes. CONCLUSIONS: We demonstrated the utility in using the poor QoL index to identify those at higher risk of experiencing health challenges. Expanding national recommendations to include this QoL assessment could help in meeting NHAS goals for improving PWH's well-being.

The effect of preexisting neutralizing antibodies (NAb) on SARS-CoV-2 shedding in postvaccination infection (PVI) is not well understood. We characterized viral shedding longitudinally in nasal specimens in relation to baseline (pre/periinfection) serum NAb titers in 125 participants infected with SARS-CoV-2 variants. Among 68 vaccinated participants, we quantified the effect of baseline NAb titers on maximum viral RNA titers and infectivity duration. Baseline NAbs were higher and targeted a broader range of variants in participants with monovalent ancestral booster vaccinations compared with those with a primary vaccine series. In Delta infections, baseline NAb titers targeting Delta or Wuhan-Hu-1 correlated negatively with maximum viral RNA. Per log10 increase in Delta-targeting baseline NAb IC50, maximum viral load was reduced -2.43 (95% CI: -3.76, -1.11) log10 nucleocapsid copies, and infectious viral shedding was reduced -2.79 (95% CI: -4.99, -0.60) days. Conversely, in Omicron infections (BA.1, BA.2, BA.4, or BA.5), baseline NAb titers against Omicron lineages or Wuhan-Hu-1 did not predict viral outcomes. Our results provide robust estimates of the effect of baseline NAbs on the magnitude and duration of nasal viral replication after PVI (albeit with an unclear effect on transmission) and show how immune escape variants efficiently evade these modulating effects.

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.

Purpose: To investigate the prevalence, patterns, and predictors of SARS-CoV-2 RNA and culturable virus in tears of a case-ascertained household cohort. Design: Prospective, longitudinal case-ascertained household cohort identified through convenience sampling. MethodsThis analysis was restricted to individuals who were non-hospitalized, symptomatic, and tested positive for SARS-CoV-2 by nasal RT-PCR. Tears and anterior nasal biospecimens were serially collected throughout the acute period. Tears specimens were collected by the study staff using Schirmer test strips, and nasal specimens were self-collected. For both, SARS-CoV-2 RNA was quantified using qRT-PCR, and culturable virus was detected using presence of cytopathic effect (CPE) in tissue culture; positive CPE was confirmed by a qRT-PCR step. A series of cross-sectional unadjusted analyses were performed investigating the relationship between different sociodemographic determinants and biological factors associated with tears RNA positivity.

BACKGROUND: To improve understanding of influenza and rurality, we investigated differences in influenza testing and anti-viral treatment rates between micropolitan (muSAs) and metropolitan statistical areas (MSAs) using national medical claims data over multiple influenza seasons. METHODS: Using billing data from the Centers for Medicare and Medicaid Services for those aged 65 years and older, we estimated weekly rates of ordered rapid influenza diagnostic tests (RIDT) and antivirals (AV) among Medicare enrollees by core-based statistical areas (CBSAs) during 2010-2016. We used Negative Binomial generalized mixed models to estimate adjusted rate ratios (aRR) between MSAs and muSAs, adjusting for clustering by CBSA plus explanatory variables. We ran models for all weeks and only high influenza activity weeks. RESULTS: For all weeks, the unadjusted rate of RIDTs was 1.97 per 10,000 people in MSAs compared with 2.69 in muSAs (Rate ratio (RR) = 0.73, 95% Confidence Interval (CI): 0.73-0.74) and of AVs was 1.85 in MSAs compared with 1.40 in muSAs (RR = 1.32, CI: 1.31-1.32). From the multivariate model, aRR for RIDTs was 0.82 (0.73-0.94) and for AVs was 1.12 (1.04-1.22) in MSAs versus muSAs. For high influenza activity weeks, aRR for RIDTs was 0.82 (0.73-0.92) and for AVs was 1.15 (1.06-1.24). All models found influenza testing rates higher in muSAs and treatment rates higher in MSAs. CONCLUSIONS: Our study found lower testing and higher treatment in U.S. metropolitan versus micropolitan areas from 2010 to 2016 for those aged 65 years and older in our population. Identifying differences in influenza rates by rurality may improve public health response. Further research into the relationship of rurality and health disparities is needed.

The American Conference of Governmental Industrial Hygienists (ACGIH) Threshold Limit Values (TLVs) for lifting provides risk zones for assessing two-handed lifting tasks. This paper describes two computational models for identifying the lifting risk zones using gyroscope information from five inertial measurement units (IMUs) attached to the lifter. Two models were developed: (1) the ratio model using body segment length ratios of the forearm, upper arm, trunk, thigh, and calf segments, and (2) the ratio + length model using actual measurements of the body segments in the ratio model. The models were evaluated using data from 360 lifting trials performed by 10 subjects (5 males and 5 females) with an average age of 51.50 (±9.83) years. The accuracy of the two models was compared against data collected by a laboratory-based motion capture system as a function of 12 ACGIH lifting risk zones and 3 grouped risk zones (low, medium, and high). Results showed that only the ratio + length model provides acceptable estimates of lifting risk with an average of 69% accuracy level for predicting one of the 3 grouped zones and a higher rate of 92% for predicting the high lifting zone.

Human adenoviruses (HAdVs) are typically associated with mild respiratory illnesses, although severe disease and outbreaks in congregate settings occur. The National Adenovirus Type Reporting System (NATRS) is a passive, laboratory-based surveillance system that monitors trends in circulation of HAdV types in the United States. This report summarizes the distribution of HAdV types reported to NATRS during 2017-2023. During this 7-year period, 2,241 HAdV specimens with typing results were reported to NATRS. The number of specimens with HAdV typing results reported varied annually during 2017-2019 (range = 389-562) and declined during 2020-2023 (range = 58-356). During 2017-2023, six HAdV types (1-4, 7, and 14) accounted for 88.3% of typed specimens reported; 17.0% of specimens were identified as outbreak-related. An increase in type 41 reporting was associated with a hepatitis cluster during 2021-2022. Reporting to NATRS has declined since the COVID-19 pandemic, despite continued HAdV circulation reported through passive laboratory surveillance to the National Respiratory and Enteric Virus Surveillance System. Enhanced participation in NATRS is needed to improve monitoring of circulating HAdV types.

INTRODUCTION: The association of breast cancer patients’ mortality with estrogen receptor (ER) status (ER + versus ER-) has been well studied. However, little attention has been paid to the relationship between the quantitative measures of ER expression and mortality. METHODS: We evaluated the association between semi-quantitative, immunohistochemical staining of ER in formalin-fixed paraffin-embedded breast carcinomas and breast cancer-specific mortality risk in an observational cohort of invasive breast cancer in 681 white women and 523 black women ages 35-64 years at first diagnosis of invasive breast cancer, who were followed for a median of 10 years. The quantitative measures of ER examined here included the percentage of tumor cell nuclei positively stained for ER, ER Histo (H)-score, and a score based on an adaptation of an equation presented by Cuzick and colleagues, which combines weighted values of ER H-score, percentage of tumor cell nuclei positively stained for the progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) results. This is referred to as the ER/PR/HER2 score. RESULTS: After controlling for age at diagnosis, race, study site, tumor stage, and histologic grade in multivariable Cox proportional hazards regression models, both percentage of tumor cell nuclei positively stained for ER (Ptrend = 0.0003) and the ER H-score (Ptrend = 0.0004) were inversely associated with breast cancer-specific mortality risk. The ER/PR/HER2 score was positively associated with breast cancer-specific mortality risk in women with ER + tumor (Ptrend = 0.001). Analyses by race revealed that ER positivity was associated with reduced risk of breast cancer-specific mortality in white women and black women. The two quantitative measures for ER alone provided additional discrimination in breast cancer-specific mortality risk only among white women with ER + tumors (both Ptrend ≤ 0.01) while the ER/PR/HER2 score provided additional discrimination for both white women (Ptrend = 0.01) and black women (Ptrend = 0.03) with ER + tumors. CONCLUSIONS: Our data support quantitative immunohistochemical measures of ER, especially the ER/PR/HER2 score, as a more precise predictor for breast cancer-specific mortality risk than a simple determination of ER positivity.

Using data from the nationally representative National Immunization Survey (NIS), we applied conditional linear regression tree methodology to examine relationships between demographic and geographic factors and propensity of receiving various doses of COVID-19 vaccine over time; these analyses identified temporal changes in these relationships that heretofore had not been identified using conventional logistical regression methodologies. Three regression tree models were built using an R package, Recursive Partitioning for Modeling Survey (rpms), to examine propensities over time of receiving a (1) first dose of a two-dose COVID-19 mRNA primary vaccination series or single dose of the Janssen vaccine (vaccine initiation), (2) primary series completion, and (3) monovalent booster dose, using a conditional linear effect model. Persons ≥50 years were more likely to complete a primary series and receive a first booster dose; persons reporting having received non-COVID-19 vaccines recently were more likely to initiate vaccination, complete the primary series, and get a first booster dose; persons reporting having work or school requirements were more likely to complete the primary series. Persons not reporting having received non-COVID-19 vaccines in 2 years but reporting having work or school vaccination requirements were more likely to initiate vaccination than those without work/school requirements. Among persons not reporting having received non-COVID-19 vaccines in 2 years and not reporting having work or school vaccination requirements, those aged ≥50 years were more likely to initiate vaccination than were younger adults. Propensity of receiving various doses was correlated with age, having recently received non-COVID 19 vaccines, and having vaccination requirements at work or school. Regression tree methodology enabled modeling of different COVID-19 vaccination dose propensities as a linear effect of time, revealed changes in relationships over time between demographic factors and propensity of receipt of different doses, and identified populations that may benefit from vaccination outreach efforts.

To understand the roles of acute-phase viral dynamics and host immune responses in post-acute sequelae of SARS-CoV-2 infection (PASC), we enrolled 136 participants within 5 days of their first positive SARS-CoV-2 real-time PCR test. Participants self-collected up to 21 nasal specimens within the first 28 days post-symptom onset; interviewer-administered questionnaires and blood samples were collected at enrollment, days 9, 14, 21, 28, and month 4 and 8 post-symptom onset. Defining PASC as the presence of any COVID-associated symptom at their 4-month visit, we compared viral markers (quantity and duration of nasal viral RNA load, infectious viral load, and plasma N-antigen level) and host immune markers (IL-6, IL-10, TNF-α, IFN-α, IFN-γ, MCP, IP-10, and Spike IgG) over the acute period. Compared to those who fully recovered, those reporting PASC demonstrated significantly higher maximum levels of SARS-CoV-2 RNA and N-antigen, burden of RNA and infectious viral shedding, and lower Spike-specific IgG levels within 9 days post-illness onset. No significant differences were identified among a panel of host immune markers. Our results suggest early viral dynamics and the associated host immune responses play a role in the pathogenesis of PASC, highlighting the importance of understanding early biological markers in the natural history of PASC.

PURPOSE: To investigate the prevalence, patterns, and predictors of SARS-CoV-2 RNA and culturable virus in tears of a case-ascertained household cohort. DESIGN: Prospective, longitudinal case-ascertained household cohort identified through convenience sampling. METHODS: This analysis was restricted to individuals who were non-hospitalized, symptomatic, and tested positive for SARS-CoV-2 by nasal RT-PCR. Tears and anterior nasal biospecimens were serially collected throughout the acute period. Tears specimens were collected by the study staff using Schirmer test strips, and nasal specimens were self-collected. For both, SARS-CoV-2 RNA was quantified using qRT-PCR, and culturable virus was detected using presence of cytopathic effect (CPE) in tissue culture; positive CPE was confirmed by a qRT-PCR step. A series of cross-sectional unadjusted analyses were performed investigating the relationship between different sociodemographic determinants and biological factors associated with tears RNA positivity. RESULTS: Among the 83 SARS-CoV-2 infected participants, 10 (12%) had at least one RNA-positive tears specimen. Amongst these 10, 5 (50%) had concurrent presence of culturable virus, at a median of 7 days postsymptom onset (IQR: 4-7 days) (absolute range: 4-8 days). CONCLUSIONS: In this longitudinal cohort, we found evidence of culturable virus in the tears of a small proportion of nonhospitalized SARS-CoV-2 infected individuals. Current public health infection precautions do not account for transmission via tears, so these findings may improve our understanding of potential sources of SARS-CoV-2 transmission and contribute to developing future guidelines.

Accurate forecasts can enable more effective public health responses during seasonal influenza epidemics. For the 2021-22 and 2022-23 influenza seasons, 26 forecasting teams provided national and jurisdiction-specific probabilistic predictions of weekly confirmed influenza hospital admissions for one-to-four weeks ahead. Forecast skill is evaluated using the Weighted Interval Score (WIS), relative WIS, and coverage. Six out of 23 models outperform the baseline model across forecast weeks and locations in 2021-22 and 12 out of 18 models in 2022-23. Averaging across all forecast targets, the FluSight ensemble is the 2(nd) most accurate model measured by WIS in 2021-22 and the 5(th) most accurate in the 2022-23 season. Forecast skill and 95% coverage for the FluSight ensemble and most component models degrade over longer forecast horizons. In this work we demonstrate that while the FluSight ensemble was a robust predictor, even ensembles face challenges during periods of rapid change.

Easy access and display of state-level estimates of the prevalence of chronic diseases and their risk factors can guide evidence-based decision-making, policy development, and tailored efforts to improve population health outcomes; however, these estimates are often presented across multiple websites and reports. The Chronic Disease Indicators (CDI) web tool (www.cdc.gov/cdi) disseminates state-level data compiled from various data sources, including surveys, vital records, and administrative data, and applies standardized definitions to estimate and track a wide range of key indicators of chronic diseases and their risk factors. In 2022-2024, the indicators were refreshed to include 113 measures across 21 topic areas, and the web tool was modernized to enhance its key features and functionalities, including standardized indicator definitions; interactive charts, graphs, and maps that present data in a visually appealing format; an easy-to-use web-based interface for users to query and extract the data they need; and state comparison reports to identify geographic variations in disease and risk factor prevalence. National and state-level estimates are provided for the overall population and, where applicable, by sex, race and ethnicity, and age. We review the history of CDIs, describe the 2022-2024 refresh process, and explore the interactive features of the CDI web tool with the goal of demonstrating how practitioners, policymakers, and other users can easily examine and track a wide range of key indicators of chronic diseases and their risk factors to support state-level public health action.

BACKGROUND: Cooling towers containing Legionella spp are a high-risk source of Legionnaires' disease outbreaks. Manually locating cooling towers from aerial imagery during outbreak investigations requires expertise, is labour intensive, and can be prone to errors. We aimed to train a deep learning computer vision model to automatically detect cooling towers that are aerially visible. METHODS: Between Jan 1 and 31, 2021, we extracted satellite view images of Philadelphia (PN, USA) and New York state (NY, USA) from Google Maps and annotated cooling towers to create training datasets. We augmented training data with synthetic data and model-assisted labelling of additional cities. Using 2051 images containing 7292 cooling towers, we trained a two-stage model using YOLOv5, a model that detects objects in images, and EfficientNet-b5, a model that classifies images. We assessed the primary outcomes of sensitivity and positive predictive value (PPV) of the model against manual labelling on test datasets of 548 images, including from two cities not seen in training (Boston [MA, USA] and Athens [GA, USA]). We compared the search speed of the model with that of manual searching by four epidemiologists. FINDINGS: The model identified visible cooling towers with 95·1% sensitivity (95% CI 94·0-96·1) and a PPV of 90·1% (95% CI 90·0-90·2) in New York City and Philadelphia. In Boston, sensitivity was 91·6% (89·2-93·7) and PPV was 80·8% (80·5-81·2). In Athens, sensitivity was 86·9% (75·8-94·2) and PPV was 85·5% (84·2-86·7). For an area of New York City encompassing 45 blocks (0·26 square miles), the model searched more than 600 times faster (7·6 s; 351 potential cooling towers identified) than did human investigators (mean 83·75 min [SD 29·5]; mean 310·8 cooling towers [42·2]). INTERPRETATION: The model could be used to accelerate investigation and source control during outbreaks of Legionnaires' disease through the identification of cooling towers from aerial imagery, potentially preventing additional disease spread. The model has already been used by public health teams for outbreak investigations and to initialise cooling tower registries, which are considered best practice for preventing and responding to outbreaks of Legionnaires' disease. FUNDING: None.

METHODS: Outpatient hemodialysis facilities report BSI events to NHSN. Pooled mean rates with 95% CI were calculated overall and for each type of vascular access (arteriovenous (AV) fistula, AV graft, or a central venous catheter (CVC)). Standardized infection ratios were calculated as observed BSI events divided by the predicted number of events based on national aggregate data. Median facility-level standardized infection ratios and 95% confidence intervals (CIs) were stratified by state and US territory. RESULTS: During 2020, 7,183 outpatient hemodialysis facilities reported data for 5,235,234 patient months with 15,181 BSI events. Pooled mean rates per 100 person-months were 0.29 (95% CI, 0.29-0.30) overall, 0.80 (95% CI, 0.78-0.82) for CVC, 0.12 (95% CI, 0.12-0.12) for AV fistula, 0.21 (95% CI, 0.20-0.22) for AV graft, and 0.28 (95% CI, 0.19-0.40) for other access types. The national standardized infection ratio was 0.40 (95% CI, 0.39-0.41). South Dakota had a standardized infection ratio significantly higher than one (1.34; 95% CI, 1.11 - 1.62). Fifty-one of 54 states and territories had BSI standardized infection ratio significantly lower than one. CONCLUSIONS: In 2020, the median standardized infection ratio for BSI in US outpatient hemodialysis facilities was lower than predicted overall and in almost all states and territories. An elevated standardized infection ratio was identified in South Dakota.

The U.S.-affiliated Pacific Islands (USAPI) have higher cervical cancer incidence and mortality rates and lower screening coverage compared with the United States. This is likely because of economic, geographical, health care delivery, and cultural barriers for women living in these resource-constrained, isolated regions. The most recent U.S. and World Health Organization cervical cancer screening guidelines recommended primary human papillomavirus (HPV) testing as one screening option or the preferred screening modality. Primary HPV screening-based strategies offer several advantages over current screening methods in the USAPI. However, adoption of this newer screening modality has been slow in the United States and not yet incorporated into USAPI screening programs. The U.S. Centers for Disease Control and Prevention and partners initiated the Pacific Against Cervical Cancer (PACe) project in 2019 to evaluate the feasibility, acceptability, and cost-effectiveness of primary HPV testing-based strategies in Guam and in Yap, Federated States of Micronesia. This report provides an overview of the PACe project and outlines the approaches we took in implementing primary HPV testing as a new cervical cancer screening strategy (including the option of self-sampling in Yap), encompassing four core components: (1) community engagement and education, (2) medical and laboratory capacity building, (3) health information and system improvement, and (4) modeling and cost-effectiveness analysis. The PACe project provides examples of systematic implementation and resource appropriate technologies to the USAPI, with broader implications for never screened and under-screened populations in the United States and Pacific as they face similar barriers to accessing cervical cancer screening services.

BACKGROUND: Human adenoviruses (HAdVs) can cause outbreaks of flu-like illness in university settings. Most infections in healthy young adults are mild; severe illnesses rarely occur. In Fall 2022, an adenovirus outbreak was identified in university students. METHODS: HAdV cases were defined as university students 17-26 years old who presented to the University Health Service or nearby emergency department with flu-like symptoms (eg, fever, cough, headache, myalgia, nausea) and had confirmed adenovirus infections by polymerase chain reaction (PCR). Demographic and clinical characteristics were abstracted from electronic medical records; clinical severity was categorized as mild, moderate, severe, or critical. We performed contact investigations among critical cases. A subset of specimens was sequenced to confirm the HAdV type. RESULTS: From 28 September 2022 to 30 January 2023, 90 PCR-confirmed cases were identified (51% female; mean age, 19.6 years). Most cases (88.9%) had mild illness. Seven cases required hospitalization, including 2 critical cases that required intensive care. Contact investigation identified 44 close contacts; 6 (14%) were confirmed HAdV cases and 8 (18%) reported symptoms but never sought care. All typed HAdV-positive specimens (n = 36) were type 4. CONCLUSIONS: While most students with confirmed HAdV had mild illness, 7 otherwise healthy students had severe or critical illness. Between the relatively high number of hospitalizations and proportion of close contacts with symptoms who did not seek care, the true number of HAdV cases was likely higher. Our findings illustrate the need to consider a wide range of pathogens, even when other viruses are known to be circulating.

A time study was conducted to evaluate the operation efficiency and the risk of musculoskeletal disorders (MSDs) for using the Power Stow Rollertrack Conveyor (PSRC) for baggage handling in the cargo holds of narrow-bodied aircrafts. The PSRC employs a retractable roller conveyor from a belt loader to provide powered transportation for loading and unloading baggage in the cargo holds. Thirteen baggage handlers at the Boston Logan International Airport participated in the data collection, which involved videotaping their work postures and methods during baggage handling operations in the cargo holds of the Boeing 737 and 757 aircrafts. Results showed that the PSRC provided improved efficiency in handling baggage, especially for unloading baggage by about 2 bags per minute. There was no significant difference in the total time spent on the risk factors for MSDs, such as lifting, pushing and pulling tasks per person for each bag between PSRC users and non-users. © 2023 Human Factors and Ergonomics Society.

Viral suppression (VS) in children has remained suboptimal compared to that in adults. We evaluated the impact of transitioning children weighing < 20 kg to a pediatric formulation of dolutegravir (pDTG) on VS in Malawi. We analyzed routine retrospective program data from electronic medical record systems pooled across 169 healthcare facilities in Malawi supported by the Elizabeth Glaser Pediatric AIDS Foundation (EGPAF). We included children who weighed < 20 kg and received antiretroviral therapy (ART) between July 2021-June 2022. Using descriptive statistics, we summarized demographic and clinical characteristics, ART regimens, ART adherence, and VS. We used logistic regression to identify factors associated with post-transition VS. A total of 2468 Children Living with HIV (CLHIV) were included, 55.3% of whom were < 60 months old. Most (83.8%) had initiated on non-DTG-based ART; 71.0% of these had a viral load (VL) test result before transitioning to pDTG, and 62.5% had VS. Nearly all (99.9%) CLHIV transitioned to pDTG-based regimens. Six months after the transition, 52.7% had good ART adherence, and 38.6% had routine VL testing results; 81.7% achieved VS. Post-transition VS was associated with good adherence and pre-transition VS: adjusted odds ratios of 2.79 (95% CI 1.65-4.71), p < 0.001 and 5.32 (95% CI 3.23-9.48), p < 0.001, respectively. After transitioning to pDTG, VS was achieved in most children tested within the first 6 months. However, adherence remained suboptimal post-transition and VL testing at 6 months was limited. Interventions to improve VL testing and enhance ART adherence are still needed in CLHIV on pDTG-based regimens.

INTRODUCTION: High quality, timely and complete immunization data are essential for program planning and decision-making. In Nigeria, the National Health Management Information System (NHMIS) Routine Immunization (RI) module and dashboard (on the District Health Information System version 2 (DHIS2) platform) support the use of real time RI data. We deployed an automated short message service (SMS) notification system that works with the existing RI module to facilitate improvements in RI data in the DHIS2. METHODS: A pilot project was performed using intervention and control local government areas (LGAs). A mixed methods approach using both qualitative and quantitative methods was used to evaluate the system. We assessed changes in reporting rates across different reports. The evaluation also included baseline and post-intervention surveys of health facility (HF) staff. RESULTS: Reporting timeliness (76% pre and 99% post intervention) and completeness (83% pre and 99% post intervention) were consistently higher during the post-intervention than the pre-intervention period for facilities in the intervention LGA while reporting timeliness (65% pre and 66% post intervention) and completeness (71% and 77% post intervention) for facilities in the control LGA showed no change. Users reported that the SMS system was easy to understand and helped to facilitate improvements in consistency of data and timeliness of reporting. Inability of health care workers to effect changes at the HF level and the lack of immediate feedback were reported as key challenges to timeliness and quality of reports. CONCLUSION: An SMS-based intervention improved timeliness and completeness of health data reporting. However, the intervention should be evaluated on a larger scale over a longer time period before considering a national implementation.

INTRODUCTION: a district health information system 2 tool with a customized routine immunization (RI) module and indicator dashboard was introduced in Kano State, Nigeria, in November 2014 to improve data management and analysis of RI services. We assessed the use of the module for program monitoring and decision-making, as well as the enabling factors and barriers to data collection and use. METHODS: a mixed-methods approach was used to assess user experience with the RI data module and dashboard, including 1) a semi-structured survey questionnaire administered at 60 health facilities administering vaccinations and 2) focus group discussions and 16 in-depth interviews conducted with immunization program staff members at the local government area (LGA) and state levels. RESULTS: in health facilities, a RI monitoring chart was used to review progress toward meeting vaccination coverage targets. At the LGA, staff members used RI dashboard data to prioritize health facilities for additional support. At the State level, immunization program staff members use RI data to make policy decisions. They viewed the provision of real-time data through the RI dashboard as a "game changer". Use of immunization data is facilitated through review meetings and supportive supervision visits. Barriers to data use among LGA staff members included inadequate understanding of the data collection tools and computer illiteracy. CONCLUSION: the routine immunization data dashboard facilitated access to and use of data for decision-making at the LGA, State and national levels, however, use at the health facility level remains limited. Ongoing data review meetings and training on computer skills and data collection tools are recommended.

The COVID-19 pandemic has disproportionately affected the health of food system (FS) essential workers compared with other essential and non-essential workers. Even greater disparity exists for workers in certain FS work settings and for certain FS worker subpopulations. We analyzed essential worker respondents (n = 151,789) in May–Novem-ber 2021 data from the National Immunization Survey Adult COVID Module (NIS-ACM) to assess and characterize COVID-19 vaccination uptake (≥1 dose) and intent (reachable, reluctant), attitudes about COVID-19 and the vaccine, and experiences and difficulties getting the vaccine. We compared rates, overall and by certain characteristics, between workers of the same group, and between FS (n = 17,414) and non–food system (NFS) worker groups (n = 134,375), to determine if differences exist. FS worker groups were classified as “agriculture, forestry, fishing, or hunting” (AFFH; n = 2,730); “food manufacturing facility” (FMF; n = 3,495); and “food and beverage store” (FBS; n = 11,189). Compared with NFS workers, significantly lower percentages of FS workers reported >1 dose of COVID-19 vaccine or vaccine requirements at work or school, but overall vaccine experiences and difficulties among vaccinated FS workers were statistically similar to NFS workers. When we examined intent regarding COVID-19 vaccination among unvaccinated FS workers compared with NFS counterparts, we found a higher percentage of FMF and FBS workers were reachable whereas a higher percentage of AFFH workers were reluctant about vaccination, with differences by sociodemographic characteristics. Overall, results showed differences in uptake, intent, and attitudes between worker groups and by some sociodemographic characteristics. The findings reflect the diversity of FS workers and underscore the importance of collecting occupational data to assess health inequalities and of tailoring efforts to worker groups to improve confidence and uptake of vaccinations for infectious diseases such as COVID-19. The findings can inform future research, adult infectious disease interventions, and emergency management planning. © 2024 by the Authors.

BACKGROUND: The Global COVID Vaccine Safety (GCoVS) Project, established in 2021 under the multinational Global Vaccine Data Network™ (GVDN®), facilitates comprehensive assessment of vaccine safety. This study aimed to evaluate the risk of adverse events of special interest (AESI) following COVID-19 vaccination from 10 sites across eight countries. METHODS: Using a common protocol, this observational cohort study compared observed with expected rates of 13 selected AESI across neurological, haematological, and cardiac outcomes. Expected rates were obtained by participating sites using pre-COVID-19 vaccination healthcare data stratified by age and sex. Observed rates were reported from the same healthcare datasets since COVID-19 vaccination program rollout. AESI occurring up to 42 days following vaccination with mRNA (BNT162b2 and mRNA-1273) and adenovirus-vector (ChAdOx1) vaccines were included in the primary analysis. Risks were assessed using observed versus expected (OE) ratios with 95 % confidence intervals. Prioritised potential safety signals were those with lower bound of the 95 % confidence interval (LBCI) greater than 1.5. RESULTS: Participants included 99,068,901 vaccinated individuals. In total, 183,559,462 doses of BNT162b2, 36,178,442 doses of mRNA-1273, and 23,093,399 doses of ChAdOx1 were administered across participating sites in the study period. Risk periods following homologous vaccination schedules contributed 23,168,335 person-years of follow-up. OE ratios with LBCI > 1.5 were observed for Guillain-Barré syndrome (2.49, 95 % CI: 2.15, 2.87) and cerebral venous sinus thrombosis (3.23, 95 % CI: 2.51, 4.09) following the first dose of ChAdOx1 vaccine. Acute disseminated encephalomyelitis showed an OE ratio of 3.78 (95 % CI: 1.52, 7.78) following the first dose of mRNA-1273 vaccine. The OE ratios for myocarditis and pericarditis following BNT162b2, mRNA-1273, and ChAdOx1 were significantly increased with LBCIs > 1.5. CONCLUSION: This multi-country analysis confirmed pre-established safety signals for myocarditis, pericarditis, Guillain-Barré syndrome, and cerebral venous sinus thrombosis. Other potential safety signals that require further investigation were identified.

COVID-19 booster dose vaccination has been crucial in ensuring protection against COVID-19 including recently predominant Omicron variants. Because vaccines against newer SARS-CoV- 2 variants are likely to be recommended in future, it will be valuable to understand past booster dose uptake among different demographic groups. Using U.S. vaccination data, this study examined intervals between primary series completion and receipt of first booster dose (monovalent or bivalent) during August 2021 - October 2022 among persons ≥12 years of age who had completed a COVID-19 vaccine primary series by October 2021. Sub-populations who were late booster recipients (received a booster dose ≥12 months after the primary series) or received no booster dose included persons <35 years old, Johnson & Johnson/Janssen vaccine primary dose recipients, persons in certain racial and ethnic groups, and persons living in rural and more socially vulnerable areas, and in the South region of the United States; these groups may benefit the most from public health outreach efforts to achieve timely COVID-19 vaccination completion in future.

OBJECTIVE: To evaluate the association between workplace psychosocial, organization, and physical risk factors with low back pain (LBP) among U.S. workers. METHODS: 2015 National Health Interview Survey data was analyzed to calculate prevalences and prevalence ratios for LBP across levels of workplace psychosocial and organizational risk factors among 17,464 U.S. adult workers who worked ≥20 hours/week. Results were also stratified by workplace physical exertion. RESULTS: The adjusted prevalences of LBP were significantly elevated for workers reporting high job demand, low job control, work-family imbalance, bullying, job insecurity, working alternate shifts, and physical exertion. Job control and nonstandard shifts were significantly associated with LBP only among those who reported low/no physical exertion. CONCLUSIONS: LBP prevalence was associated with select workplace psychosocial and organization risk factors. Stratification by physical exertion modified multiple associations.

INTRODUCTION: The sexual and reproductive health of cisgender women with HIV is essential for overall health and well-being. Nationally representative estimates of sexual and reproductive health outcomes among women with HIV were assessed in this study. METHODS: Data from the Centers for Disease Control and Prevention's Medical Monitoring Project-including data on sexual and reproductive health-were collected during June 2018-May 2021 through interviews and medical record abstraction among women with HIV and analyzed in 2023. Among women with HIV aged 18-44 years (n=855), weighted percentages were reported, and absolute differences were assessed between groups, highlighting differences ≥|5%| with CIs that did not cross the null. RESULTS: Overall, 86.4% of women with HIV reported receiving a cervical Pap smear in the past 3 years; 38.5% of sexually active women with HIV had documented gonorrhea, chlamydia, and syphilis testing in the past year; 88.9% of women with HIV who had vaginal sex used ≥1 form of contraception in the past year; and 53.4% had ≥1 pregnancy since their HIV diagnosis-of whom 81.5% had ≥1 unintended pregnancy, 24.6% had ≥1 miscarriage or stillbirth, and 9.8% had ≥1 induced abortion. Some sexual and reproductive health outcomes were worse among women with certain social determinants of health, including women with HIV living in households <100% of the federal poverty level compared with women with HIV in households ≥139% of the federal poverty level. CONCLUSIONS: Many women with HIV did not receive important sexual and reproductive health services, and many experienced unintended pregnancies, miscarriages/stillbirths, or induced abortions. Disparities in some sexual and reproductive health outcomes were observed by certain social determinants of health. Improving sexual and reproductive health outcomes and reducing disparities among women with HIV could be addressed through a multipronged approach that includes expansion of safety net programs that provide sexual and reproductive health service coverage.

To end the largest known outbreak of Ebola virus disease (EVD) in West Africa and to prevent new transmissions, rapid epidemiological tracing of cases and contacts was required. The ability to quickly identify unknown sources and chains of transmission is key to ending the EVD epidemic and of even greater importance in the context of recent reports of Ebola virus (EBOV) persistence in survivors. Phylogenetic analysis of complete EBOV genomes can provide important information on the source of any new infection. A local deep sequencing facility was established at the Mateneh Ebola Treatment Centre in central Sierra Leone. The facility included all wetlab and computational resources to rapidly process EBOV diagnostic samples into full genome sequences. We produced 554 EBOV genomes from EVD cases across Sierra Leone. These genomes provided a detailed description of EBOV evolution and facilitated phylogenetic tracking of new EVD cases. Importantly, we show that linked genomic and epidemiological data can not only support contact tracing but also identify unconventional transmission chains involving body fluids, including semen. Rapid EBOV genome sequencing, when linked to epidemiological information and a comprehensive database of virus sequences across the outbreak, provided a powerful tool for public health epidemic control efforts.