INTRODUCTION: Timely access to stroke care reduces death and disability due to stroke. Studies have investigated disparities in access by sociodemographic characteristics but not comorbidity prevalence. We used updated data to assess both types of disparities in drive times to certified stroke centers nationwide. METHODS: We conducted a cross-sectional spatial analysis of drive time from each contiguous US census tract (N = 72,517), using population-weighted centroids, to any certified stroke care (n = 1,825) or advanced (ie, endovascular-capable) stroke care (n = 426), using 2022 data from multiple state and nationwide databases. We compared median comorbidity prevalence and sociodemographic characteristics for census tracts within versus beyond a 60-minute drive time, using US Centers for Disease Control and Prevention PLACES 2020 data. RESULTS: Median (interquartile range) drive time was 11.8 (7.6-21.6) minutes to any certified stroke care, and 23.0 (12.6-53.9) minutes to advanced stroke care. Approximately 20% of the US adult population (n = 49 million) resided in census tracts beyond a 60-minute drive from advanced stroke care; most (65%) were rural. Census tracts more than 60 minutes from advanced stroke care had significantly higher prevalence of stroke, high blood pressure, coronary heart disease, high cholesterol, diabetes, chronic kidney disease, fair or poor self-rated health status, smoking, and obesity. They also had higher poverty rates, lower educational attainment, lower median income, and higher proportions of non-Hispanic White people and people older than 65 years. CONCLUSION: Residents in census tracts lacking timely access to stroke care have higher prevalence of health risk factors. The results highlight areas where education, telehealth infrastructure, and facility placement could improve stroke systems of care.

BACKGROUND: Hypoxaemia predicts mortality at all levels of care, and appropriate management can reduce preventable deaths. However, pulse oximetry and oxygen therapy remain inaccessible in many primary care health facilities. We aimed to develop and validate a simple risk score comprising commonly evaluated clinical features to predict hypoxaemia in 2-59-month-old children with pneumonia. METHODS: Data from seven studies conducted in five countries from the Pneumonia Research Partnership to Assess WHO Recommendations (PREPARE) dataset were included. Readily available clinical features and demographic variables were used to develop a multivariable logistic regression model to predict hypoxemia (oxygen saturation <90%) at presentation to care. The adjusted log coefficients were transformed to derive the PREPARE hypoxemia risk score and its diagnostic value was assessed in a held-out, temporal validation dataset. The model and risk score were analysed by evaluating the area under the receiver operating characteristic curve (AUC), sensitivity and specificity. RESULTS: We included 14 509 children in the analysis; 9.8% (n=2515) were hypoxemic at presentation. The multivariable regression model to predict hypoxemia included age, sex, respiratory distress (nasal flaring, grunting and/or head nodding), lower chest indrawing, respiratory rate, body temperature and weight-for-age z-score. The model showed fair discrimination (AUC 0.70, 95% CI 0.67 to 0.73) and calibration in the validation dataset. The simplified PREPARE hypoxaemia risk score includes five variables: age, respiratory distress, lower chest indrawing, respiratory rate and weight-for-age z-score. CONCLUSION: The PREPARE hypoxemia risk score, comprising five easily available characteristics, has the potential to be used to identify hypoxemia in children with pneumonia with a fair degree of certainty for use in health facilities without pulse oximetry. Its implementation would require careful consideration to limit the burden of inappropriate referrals on patients and the health system. Further external validation in community settings in low- and middle-income countries is required.

BACKGROUND: Healthcare workers (HCWs) play a pivotal role in preventing healthcare-associated infections by adhering to infection prevention and control (IPC) practices. This study assessed IPC knowledge, attitudes, and practices (KAP) among HCWs at tertiary care hospitals in Bangladesh during the coronavirus disease 2019 pandemic. METHODS: From September 2020 to January 2021, semistructured questionnaires were administered to physicians, nurses, and cleaning staff at 11 tertiary care hospitals in Bangladesh. KAP components were classified into "good," "fair," and "poor" based on the frequency of favorable responses (>75%, 50%-75%, <50%). Multivariate logistic regression was used to assess the relationship between knowledge, attitudes, and self-reported practices. RESULTS: We enrolled 1728 HCWs, including 526 physicians (30.4%), 934 nurses (54.1%), and 268 cleaning staff (15.5%). Physicians and nurses demonstrated "good" IPC knowledge (median 94.8% and 96.6% favorable responses, respectively) and self-reported IPC practices (median 76.2% and 80.4% favorable responses). However, most cleaning staff exhibited "poor" IPC knowledge (median 47.3% favorable responses) and practices (21.3% favorable responses). Across all categories of HCWs, the median attitude score was "fair" (range 60.0%-71.2% favorable responses). Having a positive attitude toward IPC was associated with increased IPC knowledge (adjusted odds ratio 3.0, P < .001) and good IPC practices (adjusted odds ratio 16.3, P < .001). CONCLUSIONS: HCW's KAP toward IPC was found to be suboptimal, especially among cleaning staff. However, the strong association noted between favorable attitudes toward IPC and adherence to safe IPC practices demonstrates the need for hospital leadership to promote a positive IPC culture, in addition to training and resources, to improve IPC practices and enhance healthcare resiliency beyond the coronavirus disease 2019 pandemic.

INTRODUCTION: Urinary biomarkers are useful in characterizing exposure to harmful and potentially harmful constituents (HPHCs) of tobacco products and linking exposure to health outcomes. However, the consistency/reproducibility of many urinary biomarkers over long periods is unknown. METHODS: Among people who exclusively used cigarettes in the Population Assessment of Tobacco and Health Study Waves 1, 2, 4, and 5 (ranging from 746 to 1361 subjects), we used weighted models to estimate variance components and intra-class correlation coefficients (ICC) for 15 biomarkers of exposure for urine samples collected 3-5 years apart, creatinine-only-adjusted and also adjusted for demographic and behavioral predictors. RESULTS: In models adjusted only for creatinine, ICC values of biomarkers ranged from 0.41 (95% confidence interval (CI): 0.32, 0.49) (N-acetyl-S-(2-carbamoylethyl)-L-cysteine) to 0.73 (95% CI: 0.65, 0.81) (4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol), varying within each chemical class. For models adjusted for predictors, associations between biomarkers and predictors were similar for samples collected 3-5 years and 1 year apart. Predictor-adjusted ICCs for samples collected 3-5 years apart ranged from 0.29 (95% CI: 0.17, 0.40) (N-Acetyl-S-(2-carbamoylethyl)-L-cysteine) to 0.63 (95% CI: 0.56, 0.69) (N-Acetyl-S-(2-hydroxyethyl)-L-cysteine) and appeared not different from those for samples collected 1 year apart. CONCLUSIONS: Even for 3 or 5 years between urine sample collection, unadjusted biomarkers of exposure showed fair to excellent reproducibility. Similar consistency between 1 year and 3-5 years between collections was found when including predictors in the model. IMPLICATIONS: These biomarkers may be useful to characterize long-term exposures to HPHCs from cigarettes with different characteristics for those who smoke cigarettes exclusively.

Infection with Burkholderia pseudomallei, the causative agent of melioidosis, occurs by exposure to the organism in soil or water. There is concern for B. pseudomallei use as a potential bioweapon and as an exposure hazard in diagnostic laboratories processing samples or cultures containing the bacterium. The optimal strategies for treatment and postexposure prophylaxis are inadequately developed. This study used goats to evaluate 3 antimicrobial drug treatment regimens for postexposure therapy because they are a species naturally susceptible to B. pseudomallei infection. Goats were infected by percutaneous inoculation, and antimicrobial drug therapies were initiated 48 hours later. Widespread infection with abscess formation in multiple organs developed in untreated goats and goats treated with either amoxicillin/clavulanate or sulfamethoxazole/trimethoprim. In contrast, treatment with the combination of all 4 antimicrobial drugs might have eradicated the infection. Our findings suggest combination therapy with those 4 antimicrobial drugs may be useful for postexposure prophylaxis in humans.

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.

Tick-borne diseases pose a persistent and increasing threat to public health. In the United States, the majority of human infections are caused by pathogens spread by the blacklegged tick, Ixodes scapularis. Most infections are reported during the summer months, when nymphal ticks are active in states in the Northeast and Upper Midwest. The density of questing I. scapularis nymphs (DON) provides an estimate for the risk of human encounters with nymphs, but it is a resource intensive metric to obtain from field sampling. Thus, DON estimates are limited in the US national tick surveillance database, the ArboNET Tick Module. We estimated DON across all counties in the eastern US using a zero-inflated negative binomial model utilizing tick surveillance data reported to ArboNET (2004-2023) as well as climate and land cover data. The model estimated generally low DON across the southeastern US and Great Plains states with higher estimates in the Upper Midwest and Northeast regions. We assigned counties to relative acarological encounter risk categories based on estimated DON: zero or lower quartile DON estimates were scored as low risk, whereas inter- and upper-quartile DON estimates were scored as moderate-high risk. Counties with moderate-high DON reported from field sampling were accurately categorized by the model as moderate-high encounter risk (99 % sensitivity). However, 80 % of sampled counties reporting low DON were classified as moderate-high risk (20 % specificity). These misclassified counties were typically situated in recently colonized areas in the Northeast and Upper Midwest and likely indicated areas potentially suitable for tick population expansion. Our model yielded a very high negative predictive value (96 %) indicating the model did very well estimating low relative encounter risk in counties where no or few nymphs were collected, and a fair positive predictive value (60 %) indicated that densities may not have reached an expected peak in some locations, particularly in the Northeast, Upper Midwest, and northern states in the Southeast. Further tick surveillance is needed to evaluate and to refine these predictions. The resulting maps are useful for estimating relative risk of nymphal encounters across the eastern US where field data are sparse and may aid in efforts aimed at promoting the use of personal protective measures in communities that are at risk for nymphal tick encounters.

BACKGROUND: Health disparities exist across socioeconomic status levels, yet empirical evidence between financial well-being (FWB) and health are limited. METHODS: This cross-sectional study combined data from 25 370 adults aged ≥18 years in the 2019 National Health Interview Survey with estimated household FWB scores from the Consumer Financial Protection Bureau's 2016 National Financial Well-being Survey. FWB associations with health service visits, biometric screenings, smoking status, body mass index and physical and mental conditions were tested using age-adjusted, sex-adjusted and health insurance coverage-adjusted linear regression analysis. RESULTS: In 2019, the mean FWB for US adults was 56.1 (range 14 (worse) to 95 (best)). With increasing time since the last health service visit or screening, FWB was increasingly lower compared with adults with visits or screenings <1 year (≥10 years or 'never', FWB ranged from -1 (blood sugar check) to -6.5 (dental examination/cleaning) points). FWB was lower with declining general health status (excellent (reference), very good (-0.5 points), good (-3.4 points) and fair/poor (-6.6 points)). Adults with physical health conditions had FWB lower than adults without (range -0.4 (high cholesterol) to -4.6 (disability) points). FWB were lower in adults who have ever been diagnosed with anxiety disorder (-1.8 points) or depression (-2 points). Adults managing their anxiety or depression (no/minimal symptoms currently) had greater FWB (anxiety: 3 points and depression: 4.1 points) than those with symptoms. CONCLUSION: Given the observed associations between FWB and health-related measures, it is crucial to consider FWB in primary and secondary health prevention efforts, recognising the relationship between economics, health and wellness.

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.

Introduction: Falls represent a prevalent cause of injury, disability, and mortality in the United States among older adults (ages 65+). Falls are not an inherent part of aging and adopting evidence-based fall prevention strategies can reduce fall risk. Caregivers are well-positioned to increase awareness and uptake of fall prevention strategies among older adults but may not be aware of all effective strategies. The objective of this study was to assess caregivers’ beliefs and awareness related to older adult falls and evidence-based prevention strategies. Methods: Questions about falls were included in the SummerStyles survey, part of the 2022 suite of Porter Novelli ConsumerStyles surveys. Questions covered demographic and health characteristics of respondents, caregiver status, and knowledge of evidence-based fall prevention strategies. We compared demographic, health, and fall prevention knowledge by caregiver status and age. Results: Caregivers were more likely to be women, 65+, and report low income and fair/poor health compared to non-caregivers. Most (88.8%) caregivers did not believe older adult falls are inevitable. Most caregivers (94.0%) reported knowing at least one evidence-based fall prevention strategy, but many also identified strategies with limited evidence, such as being more careful (75.1%), as effective. Few caregivers recognized interventions like Tai Chi (13.4%) and medication management (23.3%) as effective. However, caregivers often recognized the importance of making homes safer (84.8%) and strength or balance exercises (76.4%). Conclusions: Our findings highlight the need for expanded education aimed at caregivers to raise awareness about fall risks and all evidence-based fall prevention strategies. Practical applications: Public health efforts can benefit from effectively educating and empowering older adults and their caregivers to play a proactive role in fall prevention and aging without injury. Results can facilitate targeted education and support of caregivers and creation of caregiver-driven programs to address fall risk and prevention. © 2024 National Safety Council and Elsevier Ltd

BACKGROUND: To improve the healthfulness of foods offered while accelerating the use of environmental sustainability practices, it is important to engage hospital food service operators in the adoption of such practices. The purpose of this study was to explore barriers, facilitators and best practices for implementing environmental sustainability standards in food service among veterans affairs (VA) hospitals in the United States. METHODS: We conducted an online survey with 14 VA hospital food service directors and then 11 qualitative interviews. The survey assessed motivations for initiating sustainability standards and included a self-rating of implementation for each of five standards: increasing plant-forward dishes, procuring and serving sustainable foods that meet organic/fair trade and other certifications, procuring and serving locally produced foods, reducing food waste and reducing energy consumption. Interviews were transcribed verbatim. Qualitative analysis, including coding of themes and subthemes, was conducted by two coders to determine barriers, facilitators and best practices for each of these five standards. Quantitative methods (counts and frequencies) were used to analyse the survey data. RESULTS: Participants had an average of 5 years of experience implementing sustainability standards. The top three motivators cited were reducing food waste, serving healthier foods and increasing efficiency or cost savings. Barriers revolved around patient preferences, contractual difficulties and costs related to reducing waste. Facilitators included taste testing new recipes that include more sustainable food options and easy access to sustainable products from the prime vendor. Best practices included making familiar dishes plant-forward and plate waste studies to prevent overproduction. CONCLUSIONS: Although there were many barriers to implementation, food service directors had solutions for overcoming challenges and implementing food service sustainability standards, which can be tested in future sustainability initiatives.

OBJECTIVES: To measure associations between employment precarity and mental health among United States (US) workers. METHODS: This study used data from the US Medical Expenditure Panel Survey for 2008-2021. Multivariable generalized estimating equations were used to measure associations between employment precarity (operationalized as a multi-dimensional exposure) and self-rated mental health after adjusting for relevant confounders. Marginal effects analysis was used to assess potential dose-response relationships between precarity and mental health. RESULTS: Our sample (n = 57,529) was representative of >106 million US workers employed throughout 2008-2021. Compared to those with low levels of employment precarity, those with medium and high levels of precarity had an increased odds of reporting poor/fair mental health (aOR = 1.21; 95% CI = 1.11, 1.32 and 1.51; 95% CI = 1.36, 1.68, respectively). Marginal effects analysis indicated that increasing levels of precarity were associated with an increased probability of reporting poor/fair mental health. CONCLUSIONS: Increasing levels of employment precarity were associated with poor/fair self-rated mental health, findings potentially indicative of a dose-response relationship between the two. These nationally representative findings suggest employment precarity is an important social determinant of mental health. Future research could investigate how best to mitigate the negative effects of precarity on workers' lives and well-being, particularly regarding mental health.

For more than a decade, the U.S. Department of Housing and Urban Development (HUD) and the National Center for Health Statistics (NCHS) have partnered to link NCHS national health survey data with HUD administrative records on persons participating in federal public and assisted housing programs. This study used 2015-18 National Health Interview Survey (NHIS)-HUD linked data to examine women 18-44 years old with children and renting their home who were receiving HUD assistance (n=852) and a comparison population of women of the same age with children, who were low-income renters but did not link to HUD records at the time of their NHIS interview (n=894). The population of HUD-assisted women differed from the comparison group on key sociodemographic characteristics and health indicators. HUD-assisted women were more likely to report their health as fair or poor and to being a current smoker. HUD-assisted women also were less likely to be uninsured and more likely to have a regular source of care. The findings in this article are exploratory but demonstrate how the NCHS-HUD-linked data can be a resource for researchers and policymakers in further examining housing status as an important social determinant of health.

Leishmaniasis is an important travel-related parasitic infection in the United States. Treatment regimens vary by Leishmania species and require an accurate diagnosis. The sensitivity and specificity of diagnostic methods depend on the type and condition of specimen analyzed. To identify the best algorithm for detection of parasites in fresh and fixed tissue samples, we evaluated parasite cultures, two PCR methods, and Leishmania immunohistochemistry (IHC) in samples received by the CDC from 2012 through 2019. The sensitivity and specificity of IHC assays were evaluated in fresh specimens tested. Diagnostic accuracy for formalin-fixed tissue was evaluated by using PCR-based methods and IHC. Of 100 suspected cases with fresh tissue available, Leishmania spp. infection was identified by PCR in 56% (56/100) of specimens; from these, 80% (45/56) were positive by parasite culture and 59% (33/56) by IHC. Of 420 possible cases where only fixed specimens were available, 58% (244/420) were positive by IHC and/or PCR. Of these, 96% (235/420) were positive by IHC and 84% (204/420) by PCR-based methods. Overall parasite detection using all methodologies was similar for fresh and formalin-fixed tissue specimens (56% versus 58%, respectively). Although PCR-based methods were superior for diagnosis of leishmaniasis and species identification in fresh samples, IHC in combination with PCR increased the accuracy for Leishmania spp. detection in fixed samples. In conclusion, PCR is the most effective method for detecting Leishmania infection in fresh tissue samples, whereas for formalin-fixed samples, IHC and PCR-based methods should be used in combination.

Patterns of within-host influenza A virus (IAV) diversity and evolution have been described in natural human infections, but these patterns remain poorly characterized in non-human hosts. Elucidating these dynamics is important to better understand IAV biology and the evolutionary processes that govern spillover into humans. Here, we sampled an IAV outbreak in pigs during a week-long county fair to characterize viral diversity and evolution in this important reservoir host. Nasal wipes were collected on a daily basis from all pigs present at the fair, yielding up to 421 samples per day. Subtyping of PCR-positive samples revealed the co-circulation of H1N1 and H3N2 subtype swine IAVs. PCR-positive samples with robust Ct values were deep-sequenced, yielding 506 sequenced samples from a total of 253 pigs. Based on higher-depth re-sequenced data from a subset of these initially sequenced samples (260 samples from 168 pigs), we characterized patterns of within-host IAV genetic diversity and evolution. We find that IAV genetic diversity in single-subtype infected pigs is low, with the majority of intrahost Single Nucleotide Variants (iSNVs) present at frequencies of <10%. The ratio of the number of nonsynonymous to the number of synonymous iSNVs is significantly lower than under the neutral expectation, indicating that purifying selection shapes patterns of within-host viral diversity in swine. The dynamic turnover of iSNVs and their pronounced frequency changes further indicate that genetic drift also plays an important role in shaping IAV populations within pigs. Taken together, our results highlight similarities in patterns of IAV genetic diversity and evolution between humans and swine, including the role of stochastic processes in shaping within-host IAV dynamics.

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

Venous thromboembolism (VTE) is a leading cause of preventable in-hospital mortality. Monitoring VTE cases is limited by the challenges of manual chart review and diagnosis code interpretation. Natural language processing (NLP) can automate the process. Rule-based NLP methods are effective but time consuming. Machine learning (ML)-NLP methods present a promising solution. We conducted a systematic review and meta-analysis of studies published before May 2023 that use ML-NLP to identify VTE diagnoses in the electronic health records. Four reviewers screened all manuscripts, excluding studies that only used a rule-based method. A meta-analysis evaluated the pooled performance of each study's best performing model that evaluated for pulmonary embolism (PE) and/or deep vein thrombosis (DVT). Pooled sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) with confidence interval (CI) were calculated by DerSimonian and Laird method using a random-effects model. Study quality was assessed using an adapted TRIPOD tool. Thirteen studies were included in the systematic review and 8 had data available for meta-analysis. Pooled sensitivity was 0.931 (95% CI 0.881-0.962), specificity 0.984 (95% CI 0.967-0.992), PPV 0.910 (95% CI 0.865-0.941) and NPV 0.985 (95% CI 0.977-0.990). All studies met at least 13 of the 21 NLP-modified TRIPOD items, demonstrating fair quality. The highest performing models used vectorization rather than bag-of-words, and deep learning techniques such as convolutional neural networks. There was significant heterogeneity in the studies and only four validated their model on an external dataset. Further standardization of ML studies can help progress this novel technology towards real-world implementation.

OBJECTIVES: To evaluate associations between self-rated health (SRH) and care outcomes among United States adults with diagnosed HIV infection. DESIGN: We analyzed interview and medical record data collected during June 2020-May 2021 from the Medical Monitoring Project, a complex, nationally representative sample of 3,692 people with HIV (PWH). Respondents reported SRH on a 5-point Likert type scale (poor to excellent), which we dichotomized into "good or better" and "poor or fair". We computed weighted percentages with 95% confidence intervals (CIs) and age-adjusted prevalence ratios (aPRs) to investigate associations between SRH and HIV outcomes and demographic, psychosocial, and behavioral characteristics. RESULTS: Nationally, 72% of PWH reported "good or better" SRH. PWH with the following characteristics had a lower prevalence of "good or better" SRH, compared with those without: any missed HIV care appointment in the last 12 months (aPR 0.86, 95% CI:0.81-0.91), symptoms of moderate or severe depression (aPR 0.51, 95% CI:0.43-0.59) and anxiety (aPR 0.60, 95% CI:0.54-0.68), unstable housing or homelessness (aPR 0.77, 95% CI:0.71-0.82), and hunger or food insecurity (aPR 0.74, 95% CI:0.69-0.80), as well as having a mean CD4 count <200 cells/mm3 vs. CD4 >500 cells/mm3 (aPR 0.70, 95% CI:0.57-0.86). CONCLUSIONS: Though SRH is a holistic measure reflective of HIV outcomes, integrated approaches addressing needs beyond physical health are necessary to improve SRH among PWH in the U.S. Modifiable factors like mental health, unstable housing or homelessness, and food insecurity warrant further study as potential high-yield targets for clinical and policy interventions to improve SRH among PWH.

INTRODUCTION: Data on ethnic and racial differences in symptoms and health-related impacts following SARS-CoV-2 infection are limited. We aimed to estimate the ethnic and racial differences in symptoms and health-related impacts 3 and 6 months after the first SARS-CoV-2 infection. METHODS: Participants included adults with SARS-CoV-2 infection enrolled in a prospective multicenter US study between 12/11/2020 and 7/4/2022 as the primary cohort of interest, as well as a SARS-CoV-2-negative cohort to account for non-SARS-CoV-2-infection impacts, who completed enrollment and 3-month surveys (N = 3,161; 2,402 SARS-CoV-2-positive, 759 SARS-CoV-2-negative). Marginal odds ratios were estimated using GEE logistic regression for individual symptoms, health status, activity level, and missed work 3 and 6 months after COVID-19 illness, comparing each ethnicity or race to the referent group (non-Hispanic or white), adjusting for demographic factors, social determinants of health, substance use, pre-existing health conditions, SARS-CoV-2 infection status, COVID-19 vaccination status, and survey time point, with interactions between ethnicity or race and time point, ethnicity or race and SARS-CoV-2 infection status, and SARS-CoV-2 infection status and time point. RESULTS: Following SARS-CoV-2 infection, the majority of symptoms were similar over time between ethnic and racial groups. At 3 months, Hispanic participants were more likely than non-Hispanic participants to report fair/poor health (OR: 1.94; 95%CI: 1.36-2.78) and reduced activity (somewhat less, OR: 1.47; 95%CI: 1.06-2.02; much less, OR: 2.23; 95%CI: 1.38-3.61). At 6 months, differences by ethnicity were not present. At 3 months, Other/Multiple race participants were more likely than white participants to report fair/poor health (OR: 1.90; 95% CI: 1.25-2.88), reduced activity (somewhat less, OR: 1.72; 95%CI: 1.21-2.46; much less, OR: 2.08; 95%CI: 1.18-3.65). At 6 months, Asian participants were more likely than white participants to report fair/poor health (OR: 1.88; 95%CI: 1.13-3.12); Black participants reported more missed work (OR, 2.83; 95%CI: 1.60-5.00); and Other/Multiple race participants reported more fair/poor health (OR: 1.83; 95%CI: 1.10-3.05), reduced activity (somewhat less, OR: 1.60; 95%CI: 1.02-2.51; much less, OR: 2.49; 95%CI: 1.40-4.44), and more missed work (OR: 2.25; 95%CI: 1.27-3.98). DISCUSSION: Awareness of ethnic and racial differences in outcomes following SARS-CoV-2 infection may inform clinical and public health efforts to advance health equity in long-term outcomes.

Health equity is the state in which everyone has a fair and just opportunity to attain their highest level of health, and no one is disadvantaged from achieving this potential because of social position or other socially determined circumstances.1 Science is a cornerstone of public health and central to efforts to achieve health equity. Science designed to generate knowledge to advance equity can improve population health and promote health for all members of society.2 In contrast, science and interventions not designed and implemented with equity in mind may inadvertently perpetuate or widen disparities, even while fostering overall improvements in population health.3 | Health equity science provides a conceptual framework for scientific endeavors that are designed and conducted to advance health equity.4 Health equity science investigates patterns and underlying contributors to health inequities and builds an evidence base that can guide action across the domains of the public health program, surveillance, policy, communication, and scientific inquiry to move toward eliminating, rather than simply documenting, inequities. | Building on extensive work in developing the importance and application of equity concepts in public health practice,5-7 we describe an equity-focused scientific framework and set of principles to guide public health efforts to fulfill the health equity mission of the Centers for Disease Control and Prevention (CDC).8

Health equity is defined as “attainment of the highest level of health for all people” and encompasses fair and just opportunities for everyone to be as healthy as possible.1 Health equity research examines the existence of health disparities and their underlying factors, which can be categorized into broad determinants of health, including genetics, behavior, environmental influences, medical care, and social factors.2 The last category, also known as social determinants of health (SDOH), includes social and structural factors, such as racism and discriminatory practices and policies.3 Healthy People 2030 categorizes SDOH into five domains4: education access and quality, economic stability, health care access and quality, social and community context, and neighborhood and built environment. Evidence shows that SDOH influence a wide range of health outcomes5,6 and nutritional status.7 Exposures to adverse SDOH, such as food deserts and unsafe neighborhoods, are inequitably experienced by subgroups that vary by race and ethnicity, socioeconomic status, and other characteristics historically associated with discrimination or exclusion. Variation among groups in access to resources and their differential vulnerability to adverse exposures result in health disparities.8

OBJECTIVE: Cancer survivors have unique healthcare needs. An important consideration for survivorship is chronic diseases and health risk factors. The purpose of this study is to describe demographics, risk factors, and comorbid health conditions in adult cancer survivors. METHOD: We analyzed 2019 Arizona Behavioral Risk Factor Surveillance System data to compare cancer survivors to non-cancer survivors (aged 18 or older) to assess differences between the two populations. Adjusted and unadjusted population-based estimates and 95% confidence intervals were calculated, and multivariable logistic regression models were performed. RESULTS: Eight thousand nine-hundred and twenty (8920) respondents (1007 survivors; 7913 non-cancer survivors) were included. Compared to non-cancer survivors, cancer survivors were more likely to be female, 65 years and older, non-Hispanic white, veterans, and less likely to be employed. Survivors had higher rates of coronary heart disease, stroke, chronic obstructive pulmonary disease, kidney disease, hypertension, arthritis, multiple chronic conditions, being overweight, and being a former smoker. Survivors were more likely to report fair/poor health than non-cancer survivors. DISCUSSION: These findings can be used by healthcare and public health practitioners to evaluate the programmatic efforts and resources, implement targeted interventions toward cancer survivors, and improve health and quality of life.

Arthropods play a dominant role in natural and human-modified terrestrial ecosystem dynamics. Spatially-explicit population time-series are crucial for statistical or mathematical models of these dynamics and assessment of their veterinary, medical, agricultural, and ecological impacts. Arthropod data have been collected world-wide for over a century, but remain scattered and largely inaccessible. With the ever-present and growing threat of arthropod vectors of infectious diseases and pest species, there are enormous amounts of historical and ongoing surveillance. These data are currently reported in a wide variety of formats, typically lacking sufficient metadata to make reuse and re-analysis possible. We present the first minimum information standard for arthropod abundance. Developed with broad stakeholder collaboration, it balances sufficiency for reuse with the practicality of preparing the data for submission. It is designed to optimize data (re-)usability from the “FAIR,” (Findable, Accessible, Interoperable, and Reusable) principles of public data archiving (PDA). This standard will facilitate data unification across research initiatives and communities dedicated to surveillance for detection and control of vector-borne diseases and pests.

BACKGROUND: National data indicate that working-aged adults (20-64 years) are more likely to report financial barriers to receiving needed oral health care relative to other age groups. The aim of this study was to examine the burden of untreated caries (UC) and its association with reporting an unmet oral health care need among working-aged adults. METHODS: The authors used National Health and Nutrition Examination Survey data from 2011 through 2016 for 10,286 dentate adults to examine the prevalence of mild to moderate (1-3 affected teeth) and severe (≥ 4 affected teeth) UC. The authors used multivariable logistic regression to identify factors that were associated with reporting an unmet oral health care need. RESULTS: Low-income adults had mild to moderate UC (26.2%) 2 times more frequently and severe UC (13.2%) 3 times more frequently than higher-income adults. After controlling for covariates, the variables most strongly associated with reporting an unmet oral health care need were UC, low income, fair or poor general health, smoking, and no private health insurance. The model-adjusted prevalence of reporting an unmet oral health care need among low-income adults with mild to moderate and severe UC were 35.7% and 45.1%, respectively. CONCLUSIONS: The burden of UC among low-income adults is high; prevalence was approximately 40% with approximately 3 affected teeth per person on average. Reporting an unmet oral health care need appears to be capturing primarily differences in UC, health, and financial access to oral health care. PRACTICAL IMPLICATIONS: Data on self-reported unmet oral health care need can have utility as a surveillance tool for monitoring UC and targeting resources to decrease UC among low-income adults.

Preventing Chronic Disease (PCD) is committed to providing opportunities for future generations of researchers to contribute to public health and develop critical writing and reviewing skills. Since its introduction in 2011, PCD’s Student Research Paper Contest has been a success; each year the journal receives manuscripts prepared by students from around the world, and the number of entries continues to increase. This year, PCD set a record of 72 student submissions. With so many entries, we decided that the only fair way to judge the submissions would be to establish 4 winning categories by level of education: high school, undergraduate, graduate, and doctoral. This year’s submissions addressed a range of topics related to the screening, surveillance, and use of population-based approaches to prevent and control chronic diseases and focused on such health conditions as arthritis, asthma, cancer, diabetes, cardiovascular health, obesity, depression, and others.

Background: Hand, foot, and mouth disease (HFMD), classically a childhood viral infection, has an atypical and severe clinical presentation in adults. Coxsackievirus A6 is a leading cause of atypical HFMD, but current diagnostic methods utilizing formalin-fixed, paraffin-embedded skin biopsy specimens often lack sensitivity and specificity. Method(s): Formalin-fixed, paraffin-embedded skin biopsies from seven case patients with clinical and histopathological suspicion of atypical HFMD were evaluated by coxsackievirus A6 (CVA6) immunohistochemistry, enterovirus-specific conventional reverse transcriptase-PCR with subsequent Sanger sequencing targeting the 5'UTR, and CVA6-specific real-time PCR targeting the VP1 gene. Result(s): The CVA6-specific antibody demonstrated appropriate antigen distribution and staining intensity in keratinocytes in all cases. Conventional RT-PCR and sequencing also detected the presence of enterovirus, and CVA6-specific real-time RT-PCR analysis identified CVA6. Conclusion(s): Applying these immunohistochemistry and molecular techniques to formalin-fixed, paraffin-embedded tissues, CVA6 was determined to be the causative infectious agent in seven cases of atypical hand, foot, and mouth disease. Copyright © 2021

OBJECTIVES: On September 23, 2019, the North Carolina Division of Public Health identified a legionellosis increase in western North Carolina; most patients had recently attended the North Carolina Mountain State Fair. We conducted a source investigation. METHODS: Cases were fair attendees with laboratory-confirmed legionellosis and symptom onset within 2 to 14 days (Legionnaires' disease) or ≤3 days (Pontiac fever). We conducted a case-control study matching cases to non-ill fair attendees as control participants and an environmental investigation, and we performed laboratory testing (Legionella bacteria culture and polymerase chain reaction) of 27 environmental samples from fairgrounds and hot tubs and 14 specimens from case patients. We used multivariable unconditional logistic regression models to calculate adjusted odds ratios for potential Legionella exposure sources and risk factors. RESULTS: Of 136 people identified with fair-associated legionellosis, 98 (72%) were hospitalized and 4 (3%) died. Case patients were more likely than control participants to report walking by hot tub displays (adjusted odds ratio = 10.0; 95% CI, 4.2-24.1). Complete hot tub water treatment records were not kept, precluding evaluation of water maintenance conducted on display hot tubs. Legionella pneumophila sequence types (STs) were consistent among 10 typed clinical specimens (ST224) but distinct from the only positive environmental sample from the fair (ST7 and ST8). CONCLUSIONS: Hot tub displays were identified as the most likely outbreak source, making this the largest hot tub-associated Legionnaires' disease outbreak worldwide. Following the investigation, the North Carolina Division of Public Health and the Centers for Disease Control and Prevention released guidance on mitigating risk of Legionella exposure from hot tub displays. Results highlight the importance of properly maintaining equipment that aerosolizes water, including hot tubs intended for display purposes only.

Generations of medical educators have recommended including public and population health (PPH) content in the training of U.S. physicians. The COVID-19 pandemic, structural racism, epidemic gun violence, and the existential threats caused by climate change are currently unsubtle reminders of the essential nature of PPH in medical education and practice. To assess the state of PPH content in medical education, the authors reviewed relevant guidance, including policies, standards, and recommendations from national bodies that represent and oversee medical education for physicians with MD degrees. Findings confirm that guidance across the medical education continuum, from premedical education to continuing professional development, increasingly includes PPH elements that vary in specificity and breadth. Graduate medical education policies present the most comprehensive approach in both primary care and subspecialty fields. Behavioral, quantitative, social, and systems sciences are represented, although not uniformly, in guidance for every phase of training. Quantitative PPH skills are frequently presented in the context of research, but not in relation to the development of population health perspectives (e.g., evidence-based medicine, quality improvement, policy development). The interdependence between governmental public health and medical practice, environmental health, and the impact of structural racism and other systems of oppression on health are urgent concerns, yet are not consistently or explicitly included in curricular guidance. To prepare physicians to meet the health needs of patients and communities, educators should identify and address gaps and inconsistencies in PPH curricula and related guidance. Re-examinations of public health and health care systems in the wake of the COVID-19 pandemic support the importance of PPH in physician training and practice, as physicians can help to bridge clinical and public health systems. This review provides an inventory of existing guidance (presented in the appendices) to assist educators in establishing PPH as an essential foundation of physician training and practice.

BACKGROUND: Self-reported questions on blindness and vision problems are collected in many national surveys. Recently released surveillance estimates on the prevalence of vision loss used self-reported data to predict variation in the prevalence of objectively measured acuity loss among population groups for whom examination data are not available. However, the validity of self-reported measures to predict prevalence and disparities in visual acuity has not been established. OBJECTIVE: This study aimed to estimate the diagnostic accuracy of self-reported vision loss measures compared to best-corrected visual acuity (BCVA), inform the design and selection of questions for future data collection, and identify the concordance between self-reported vision and measured acuity at the population level to support ongoing surveillance efforts. METHODS: We calculated accuracy and correlation between self-reported visual function versus BCVA at the individual and population level among patients from the University of Washington ophthalmology or optometry clinics with a prior eye examination, randomly oversampled for visual acuity loss or diagnosed eye diseases. Self-reported visual function was collected via telephone survey. BCVA was determined based on retrospective chart review. Diagnostic accuracy of questions at the person level was measured based on the area under the receiver operator curve (AUC), whereas population-level accuracy was determined based on correlation. RESULTS: The survey question, "Are you blind or do you have serious difficulty seeing, even when wearing glasses?" had the highest accuracy for identifying patients with blindness (BCVA ≤20/200; AUC=0.797). The highest accuracy for detecting any vision loss (BCVA <20/40) was achieved by responses of "fair," "poor," or "very poor" to the question, "At the present time, would you say your eyesight, with glasses or contact lenses if you wear them, is excellent, good, fair, poor, or very poor" (AUC=0.716). At the population level, the relative relationship between prevalence based on survey questions and BCVA remained stable for most demographic groups, with the only exceptions being groups with small sample sizes, and these differences were generally not significant. CONCLUSIONS: Although survey questions are not considered to be sufficiently accurate to be used as a diagnostic test at the individual level, we did find relatively high levels of accuracy for some questions. At the population level, we found that the relative prevalence of the 2 most accurate survey questions were highly correlated with the prevalence of measured visual acuity loss among nearly all demographic groups. The results of this study suggest that self-reported vision questions fielded in national surveys are likely to yield an accurate and stable signal of vision loss across different population groups, although the actual measure of prevalence from these questions is not directly analogous to that of BCVA.

Human infection with Sosuga virus (SOSV), a recently discovered pathogenic paramyxovirus, has been reported in one individual to date. No animal models of disease are currently available for SOSV. Here, we describe initial characterization of experimental infection in Syrian hamsters, including kinetics of virus dissemination and replication, and the corresponding clinical parameters, immunological responses, and histopathology. We demonstrate susceptibility of hamsters to infection in the absence of clinical signs or significant histopathologic findings in tissues.