OBJECTIVES: Historically, the most frequent cause of death reported to the Centers for Disease Control and Prevention (CDC) among travelers on conveyances has been cardiovascular disease, mirroring all-cause mortality in the US population. Infectious disease transmission, particularly during large-scale outbreaks, also poses a risk to travelers. To determine leading causes of death on conveyances and whether they were affected by the COVID-19 pandemic, we describe causes of death on conveyances reported to CDC from 2008 through 2022. METHODS: We queried CDC's Port Health Activity Reporting System for traveler deaths on, or immediately after disembarking from, an aircraft or maritime vessel or during land-border crossings reported to CDC from July 1, 2008, through December 31, 2022. We examined data on cause of death, age, travel mode, and traveler type (passenger vs crew). We also calculated crude annual mortality rates for each conveyance type. To assess factors associated with deaths due to infectious diseases (vs deaths due to noninfectious conditions), we performed logistic regression. RESULTS: During the analysis period, 2910 deaths on conveyances were reported. Across all conveyances, the most common causes were cardiovascular- or pulmonary-related conditions (2116 of 2910; 73%) for each year except 2020, when COVID-19 was the most common. Crew (vs passengers) had significant associations with death due to infectious causes (vs noninfectious causes; adjusted odds ratio = 2.12; 95% CI, 1.32-3.40). CONCLUSIONS: Travelers with cardiovascular- or pulmonary-related conditions should consult their health care providers prior to international travel. All travelers should check travel recommendations such as those currently available on CDC travel pages. Public health authorities should consider population-based mitigation measures aimed at transmission risk reduction to limit morbidity and mortality during infectious disease outbreaks.

Exposure to phthalates is common and difficult to avoid. However, intake of long-chain n-3 polyunsaturated fatty acids (n3PUFAs) may ameliorate negative effects on ovarian reserve by exposure to phthalates as both are involved in key processes of ovarian function. Among 139 women attending a fertility center in the Environment and Reproductive Health (EARTH) Study (2004-2017), we evaluated whether associations between urinary phthalate biomarkers and antral follicle count (AFC) were modified by tertiles of serum α-linolenic acid (ALA), eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). We used Poisson regression (for individual phthalate biomarkers) and quantile Q-computation (for mixtures) models adjusted for age, body mass index, prior smoking, number of urine samples and urinary specific gravity. We found that serum EPA + DHA levels modified the negative association of urinary phthalate biomarkers mixture with mean AFC (P for interaction = 0.23); sum of di(2-ethylhexyl) phthalate metabolites (∑DEHP) had the strongest effect modification (P interaction = 0.01). Specifically, phthalate biomarkers mixture and ∑DEHP were inversely related with AFC only among women in the low (P trend = 0.03 and < 0.001, respectively) and middle (P trend = 0.07 and 0.002) tertiles of serum EPA + DHA, but not among women in the high tertile (P trend = 0.56 and 0.93). No effect modifications were found by serum ALA. These findings suggest certain serum n3PUFAs may attenuate effects of phthalate exposure on ovarian reserve marker. Such interaction points toward select n3PUFAs as key modifiers of phthalate toxicity on ovarian health with potential implications for other women's reproductive health endpoints.

OBJECTIVE: During the COVID-19 pandemic, the United States Centers for Disease Control and Prevention provided strategies, such as extended use and reuse, to preserve N95 filtering facepiece respirators (FFR). We aimed to assess the prevalence of N95 FFR contamination with SARS-CoV-2 among healthcare personnel (HCP) in the Emergency Department (ED). DESIGN: Real-world, prospective, multicenter cohort study. N95 FFR contamination (primary outcome) was measured by real-time quantitative polymerase chain reaction. Multiple logistic regression was used to assess factors associated with contamination. SETTING: Six academic medical centers. PARTICIPANTS: ED HCP who practiced N95 FFR reuse and extended use during the COVID-19 pandemic between April 2021 and July 2022. PRIMARY EXPOSURE: Total number of COVID-19-positive patients treated. RESULTS: Two-hundred forty-five N95 FFRs were tested. Forty-four N95 FFRs (18.0%, 95% CI 13.4, 23.3) were contaminated with SARS-CoV-2 RNA. The number of patients seen with COVID-19 was associated with N95 FFR contamination (adjusted odds ratio, 2.3 [95% CI 1.5, 3.6]). Wearing either surgical masks or face shields over FFRs was not associated with FFR contamination, and FFR contamination prevalence was high when using these adjuncts [face shields: 25% (16/64), surgical masks: 22% (23/107)]. CONCLUSIONS: Exposure to patients with known COVID-19 was independently associated with N95 FFR contamination. Face shields and overlying surgical masks were not associated with N95 FFR contamination. N95 FFR reuse and extended use should be avoided due to the increased risk of contact exposure from contaminated FFRs.

BACKGROUND: Evidence on the association between maternal phenol exposure and inflammation during pregnancy is limited and inconsistent. OBJECTIVE: To evaluate associations between urinary phenol biomarkers and serum inflammatory cytokines across pregnancy, and to examine whether associations vary by trimesters. METHODS: We included 175 pregnant women from the Massachusetts General Hospital Fertility Center and participating in the Environment and Reproductive Health (EARTH) Study (2005-2017), with available data on urinary concentrations of eight phenol biomarkers and serum inflammatory biomarkers, high-sensitivity C-reactive protein (hsCRP) and interleukin-6 (IL-6). Linear regression models were employed to assess the association between individual phenol biomarker concentrations and log-transformed inflammatory cytokine levels, while Bayesian Kernel Machine Regression (BKMR) models were utilized to evaluate phenol biomarker mixtures. Analyses were further stratified by the trimester of sample collection. RESULTS: Overall, detectable urinary ethylparaben was positively associated with serum hsCRP (β: 0.464; 95 % CI: 0.012, 0.917). In trimester-specific analyses, urinary butylparaben was positively associated with hsCRP (β: 0.533; 95 % CI: 0.006, 1.059) in the first trimester, but negatively associated with IL-6 (β: -0.613; 95 % CI: -1.062, -0.164) in the second trimester. Urinary bisphenol A was inversely associated with hsCRP (β: -0.428; 95 % CI: -0.731, -0.125) in the third trimester. CONCLUSIONS: Our findings suggest that exposure to certain phenols may disrupt inflammatory profiles in pregnancy, with effects varying by trimesters. These novel associations underscore the importance of exposure timing when assessing environmental risk factors for maternal and offspring health outcomes.

BACKGROUND: In Africa, for people with HIV on a dolutegravir-based regimen with a viral load of more than 1000 copies per mL despite enhanced adherence counselling, the appropriate course of action is uncertain. We aimed to evaluate the predicted effects of alternative antiretroviral regimen switching options in this population, including consideration of cost-effectiveness. METHODS: We used an existing individual-based model to simulate risk and experience of HIV in 100 000 adults alive between 1989 and 2076. Using sampling of parameter values, we created 1000 setting-scenarios, reflecting the uncertainty in assumptions and a range of settings similar to those seen in eastern, central, southern, and western Africa. For each setting-scenario, we predicted the outcomes from the three alternative policies for people with sustained viral load non-suppression on a dolutegravir-containing regimen from 2026: a switch to a protease inhibitor-based regimen (switch policy), a switch to a protease inhibitor-based regimen only if HIV drug resistance testing beforehand shows integrase inhibitor resistance (resistance test policy), and no switch with no HIV drug resistance test (no switch policy). We considered predicted outcomes over 10-year and 50-year periods from 2026, used a 3% discount rate, and a cost-effectiveness threshold of US$500 per disability-adjusted life-year (DALY) averted. Ritonavir-boosted darunavir costs $210 per year, and dolutegravir less than $20. We assumed a cost of HIV drug resistance testing of $200 and considered variations around this. For comparing policies, we calculated net DALYs, which account for the health consequences of differences in costs and provide a measure of the impact of a policy on overall population burden of disease. FINDINGS: Across setting-scenarios, there was a mean of 14 480 deaths per year (95% CI 13 750-15 210) over 50 years with a mean annual discounted cost of $103·2 million (95·8-106·5) with the switch policy in the context of having scaled to a setting with an adult population of 10 million in 2024. Compared with the switch policy, the no switch policy was predicted to lead to an overall increased number of DALYs incurred (mean 4400 per year, 95% CI 3200-5500), although it resulted in the lowest overall cost, with a difference in annual discounted costs of $5·1 million (95% CI 4·6-5·6) lower than the switch policy. The resistance test policy led to a similar risk of death and DALYs to the switch policy at a lower overall cost (difference in annual discounted costs $3·5 million per year, 95% CI 3·1-3·9), leading to 6900 (95% CI 5500-8200) fewer net DALYs per year. Net DALYs for the resistance test versus no switch policies were similar (-1000 net DALYs, 95% CI 400 to -2300). The incremental cost-effectiveness ratio when comparing the resistance test policy with the no switch policy was $376 per DALY averted; the switch policy was dominated. INTERPRETATION: Introduction of HIV drug resistance testing for people with sustained viral load non-suppression on dolutegravir-based antiretroviral therapy is likely to be cost-effective. We suggest that exploratory planning for increased access and scale-up of high-quality, low-cost drug resistance testing for the region is undertaken. FUNDING: Gates Foundation as part of the HIV Modelling Consortium.

OBJECTIVES: Cruise ship settings can facilitate transmission of respiratory infections. In March 2020, a COVID-19 outbreak occurred on the Grand Princess cruise ship. We describe the public health response, including a large-scale US federal quarantine intended to limit spread to communities not yet affected by COVID-19. METHODS: All US residents and symptomatic people requiring hospitalization disembarked beginning on March 9 and were transported to designated US military bases for federal quarantine or to hospitals or alternate care sites for medical care. Foreign nationals remained on board (crew) or were repatriated (passengers). People under federal quarantine were monitored daily for symptoms and tested voluntarily for SARS-CoV-2 upon arrival, as tests became available, and if symptoms developed. RESULTS: Of 3582 travelers (passengers and crew) on board, 2013 (56%) went to military bases, 59 (2%) went to hospitals or alternate care sites, 419 (12%) were repatriated, and the remainder (crew) quarantined on board. Overall, 1144 travelers (32%) were tested for SARS-CoV-2; of those, 155 (14%) had a positive test result. Among 2013 US residents quarantined, 1054 (52%) were tested. Of those, 115 (11%) had a positive test result, 37 (32%) of whom were symptomatic at testing. Proportions tested across bases ranged from 28% to 89%; test positivity ranged from 10% to 16%. Of 31 travelers hospitalized, the median (IQR) stay was 4 (4-9) nights, and 9 (29%) travelers died of SARS-CoV-2 complications. CONCLUSIONS: The Grand Princess outbreak was the first confirmed COVID-19 outbreak on a cruise ship in US waters. Multiagency public health responses allowed for isolation and quarantine, potentially helping to slow transmission into US communities. Ensuring that cruise ships have plans for communicable disease control and mitigation helps protect passenger and crew well-being.

BACKGROUND: Few studies have evaluated the associations between phthalate exposures and maternal inflammation. OBJECTIVES: To examine cross-sectional associations of urinary phthalate metabolites, individually and as a mixture, with serum inflammatory biomarkers during pregnancy. METHODS: A total of 175 pregnant women enrolled in the Environment and Reproductive Health (EARTH) Study between 2005 and 2017 were included. Concentrations of 11 urinary phthalate metabolites and two serum inflammatory biomarkers, including C-reactive protein (CRP) and interleukin-6 (IL-6), were measured. Urinary concentrations of phthalate metabolites were adjusted for specific gravity (SG) before analysis. Linear regression and Bayesian Kernel Machine Regression models were used to examine the associations for individual phthalates and their mixture, respectively. Stratified analyses by pre-pregnancy body mass index (BMI) were also conducted. RESULTS: No association for urinary phthalate metabolites, individually or as a mixture, was observed with serum CRP overall among pregnant women. Urinary mono-3-carboxypropyl phthalate and monocarboxyisooctyl phthalate were positively associated with serum IL-6 (β [95 % CI] per 1-SD increase in log-transformed, SG-adjusted concentrations: 0.09 [0.01, 0.16] and 0.09 [0.02, 0.17], respectively). Besides, urinary mono-isobutyl phthalate was positively associated with serum IL-6 among women with a pre-pregnancy BMI ≥25 kg/m(2) (β [95 % CI] per 1-SD increase: 0.15 [0.00, 0.30]), but not with lower BMI (-0.03 [-0.12, 0.07]). A suggestive positive association between phthalate mixture and serum IL-6 was observed in the high pre-pregnancy BMI group. CONCLUSIONS: Our findings suggest that women with a higher pre-pregnancy BMI may be more vulnerable to the effects of certain phthalates on maternal inflammation reflected by IL-6.

Several oxylipins are potent lipid mediators that regulate diverse aspects of health and disease and whose quantitative analysis by liquid chromatography-mass spectrometry (LC-MS) presents substantial technical challenges. As members of the lipidomics community, we developed technical recommendations to ensure best practices when quantifying oxylipins by LC-MS.

BACKGROUND: Phthalate exposures are ubiquitous and have been associated with pregnancy complications. Interaction between serum long-chain n-3 polyunsaturated fatty acids (n3PUFA) and phthalate biomarkers is biologically plausible because both can bind to human peroxisome proliferator-activated receptors (PPARs) which are involved in placenta development. However, evidence of this interaction in humans is lacking. OBJECTIVE: To evaluate whether serum n3PUFA modifies the associations of biomarkers of phthalate exposure on pregnancy outcomes. METHODS: Among 351 women undergoing in vitro fertilization in the Environment and Reproductive Health study (2004-2017), we evaluated the effect modification of eicosapentaenoic acid (EPA) and serum docosahexaenoic acid (DHA) on the association of pregnancy outcomes with the mixture of urinary concentrations of phthalate biomarkers by quantile g-computation. All models were adjusted for age, body mass index, prior smoking, infertility diagnosis, treatment year, and urinary specific gravity. RESULTS: Concentrations of the phthalate biomarkers mixture were associated with higher adjusted probabilities of pregnancy loss and lower estimated probabilities of live birth among women with serum EPA+DHA in the lowest tertile (< 2.66% of total fatty acids), but not among women with middle-to-high serum EPA+DHA (p interactions = 0.06 and 0.15, respectively). Among women in the lowest tertile of serum EPA+DHA, the adjusted probability [95% confidence interval (CI)] of pregnancy loss for women in the lowest and highest quartile of phthalates mixtures was 5% (2%, 16%) and 44% (23%, 85%), respectively (p trend = 0.01). The corresponding estimates were 14% (5%, 41%) and 11% (3%, 42%) among women with serum EPA+DHA in the highest tertile (⩾ 3.78% of total fatty acids) (p trend = 0.81). Similar trends were observed for live birth but not for implantation and clinical pregnancy. CONCLUSIONS: This study suggests adverse effects of phthalate exposure on pregnancy loss and live birth may be attenuated by intakes of n3PUFA. These results, if replicated, could inform clinical practice reducing the burden of infertility by phthalate exposure among the general population and improving pregnancy outcomes among subfertile couples.. https://doi.org/10.1289/EHP15942.

BACKGROUND: Clinical data, such as electronic health records, may be useful for iron deficiency (ID) surveillance. Our objective was to compare iron and hematologic indicators commonly measured in clinical settings to the WHO-recommended iron indicator, serum ferritin (SF), to assess ID among a population of adult women (20-44y). METHODS: We evaluated sensitivity, specificity, and area under the receiver operating characteristics (ROC) curve of iron and hematologic indicators commonly measured in clinical settings for ID: hemoglobin, Hb <120 g/L (non-pregnant), Hb <110 g/L or <105 g/L (pregnant, depending on trimester); mean corpuscular volume, MCV <80 fl; serum iron <40 μg/dL; total iron binding capacity, TIBC >400 μg/dL; transferrin saturation, TSAT <15%, compared to a reference (SF <30 μg/L for pregnant women and inflammation-adjusted SF <15 μg/L for non-pregnant women) using the U.S. National Health and Nutrition Examination Survey (NHANES) 2003-2006 and 2017-2018. RESULTS: Among pregnant women (n = 730), sensitivity ranged from 8.1% (MCV) to 87.2% (TIBC), and specificity ranged from 63.0% (TIBC) to 97.5% (MCV), and area under the ROC curve ranged from 0.553 (MCV) to 0.816 (TIBC). Among non-pregnant women (n = 3,345), sensitivity ranged from 32.1% (MCV) to 71.9% (TSAT), specificity ranged from 85.7% (TIBC) to 96.1% (Hb), and area under the ROC curve ranged from 0.785 (MCV) to 0.853 (TSAT). ID prevalence using clinical indicators varied widely compared to prevalence using SF. Among pregnant women, ID prevalence ranged from 6.7% (95% CI: 3.6-9.7) (MCV) to 51.8% (95% CI: 46.0-57.5) (TIBC), compared to 47.0% (95% CI: 39.5-54.5) using SF. Among non-pregnant women, prevalence of ID using clinical indicators ranged from 6.4% (95% CI: 5.4-7.3) (MCV) to 24.7% (95% CI: 22.4-26.9) (TSAT), compared to 15.1% (95% CI: 13.4-16.6) using SF. CONCLUSION: Iron and hematologic indicators routinely used in clinical settings can under- or overestimate ID suggesting that they are not ideal for ID surveillance.

The National Network of STD Prevention Training Centers launched a 24 hours/7 days a week hotline pilot for consultations on syphilis during pregnancy and congenital syphilis. Most of the 28 urgent requests were from physicians (61%) in hospitals (54%), involving patients in their third trimester or recently born infants (82%).

CONTEXT: Little is known about when and how the ICD-10-CM diagnosis code for Post-COVID Conditions (PCC; U09.9) is being used to document PCC. OBJECTIVES: To examine the use and characteristics of clinical coding for PCC. DESIGN: A retrospective cohort. SETTING: Transaction-level medical encounters, laboratory testing results, pharmacy claims, and medical claims for inpatient and outpatient care from the HealthVerity database. PARTICIPANTS: 382 400 US adults and children with private health insurance, Medicare, and Medicaid who had U09.9 code documented during October 1, 2021-June 30, 2023. OUTCOME MEASURES: Count of first use of the U09.9 code, (a) overall, over time, and proportion by provider type; (b) prevalence of PCC-associated incident conditions co-documented with U09.9; (c) number of documented SARS-CoV-2 infections preceding U09.9; (d) timing between infection and U09.9; (e) encounters during the 6 months following first use of U09.9. RESULTS: Overall, 0.6% of 65 556 068 patients had a PCC diagnosis code (64.6% female; 6 in 10 had ≥1 preexisting conditions). The highest count of new U09.9 codes occurred during Quarter 1 and Quarter 3 of 2022 and was documented by a variety of provider specialties. The most prevalent co-documented PCC-associated incident conditions were respiratory (13.4%) and malaise and fatigue (7.8%). Only 62% of patients had SARS-CoV-2 infection documented preceding U09.9; median time to PCC documentation was 17.0 days (interquartile range [IQR] = 5.0, 61.0). Patients with ≥1 encounters during which PCC was documented in the 6 months following their index encounter (n = 109 794) had, on average, 25.5 additional encounters (median = 14 [IQR = 7, 29]). CONCLUSIONS: Our study describes the sociodemographic characteristics, complex clinical manifestations, and high healthcare use of patients following a PCC diagnosis. These findings may inform efforts to identify and treat PCC, inform healthcare planning, and support efforts to educate clinicians about the definition of PCC and accurate application of the code.

A previous laboratory study using Haemaphysalis longicornis Neumann (Acari: Ixodidae) ticks of North American origin showed that larvae could acquire the Lyme disease spirochete, Borrelia burgdorferi sensu stricto (s.s.) (Spirochaetales: Spirochaetaceae) while feeding to completion on infected mice. However, the infection was lost during the molt to the nymphal stage. Nonetheless, questing H. longicornis nymphs and adults collected by drag sampling in the northeastern United States have been reported infected with B. burgdorferi s.s. DNA; occasionally these ticks appeared to be partially engorged. This raises the question of whether H. longicornis ticks can (i) acquire B. burgdorferi s.s. during an interrupted, partial blood meal on an infected host and (ii) transmit spirochetes while completing the blood meal on a second host. In this laboratory study, we demonstrated that H. longicornis nymphs could acquire B. burgdorferi s.s. from infected Mus musculus mice during a partial blood meal. Borrelia burgdorferi s.s. was detected by a multiplex polymerase chain reaction amplicon sequencing assay in 2 of 32 (6.3%) nymphs allowed to remain attached to infected mice for 48 h but, paradoxically, not in any of 25 nymphs that remained attached to infected mice for 72 h. Unfortunately, due to the low percentage of infected nymphs, we were not able to examine if such partially fed, infected nymphs were able to transmit B. burgdorferi s.s. while completing their blood meal on a second, naïve host.

BACKGROUND: Environmental chemical exposures in utero may play a role in autism development. While preconception risk factors for autism are increasingly being investigated, little is known about the influence of chemical exposures during the preconception period, particularly for paternal exposures. METHODS: In 195 children from the Preconception Environmental exposures And Childhood health Effects (PEACE) cohort born to parents recruited from a fertility clinic in Boston, Massachusetts between 2004 and 2017, we quantified concentrations of 11 phthalate metabolites and bisphenol A (BPA) in urine samples collected from mothers and fathers before conception and mothers throughout pregnancy. When children were 6-15 years old, parents completed the Social Responsiveness Scale (SRS) questionnaire assessing autistic behaviors. We used linear mixed effect models to estimate covariate-adjusted associations of phthalate biomarker and BPA concentrations, separately for maternal preconception (n = 179), paternal preconception (n = 121), and maternal pregnancy (n = 177), with SRS T-scores, based on age and gender, in offspring. We used quantile g-computation models for mixture analyses and evaluated modification by selected dietary factors. RESULTS: The mean SRS T-score was 47.7 (±7.4), lower than the normative mean of 50. In adjusted models for individual biomarkers or mixtures, few associations were observed and estimates were generally negative (e.g., lower SRS T-scores) and imprecise. We observed associations of higher mono-isobutyl phthalate (MiBP) concentrations measured in maternal preconception and paternal preconception periods with lower SRS T-scores (β(maternal_precon) = -1.6, 95% CI -2.7; -0.4; β(paternal_precon) = -2.9, 95% CI -4.6; -1.2) for each log(e) increase. In a subset of participants with maternal preconception nutrition information, we generally observed stronger inverse associations with higher folate and iron intake, particularly for folate intake and MiBP concentrations. CONCLUSIONS: Urinary phthalate biomarker and BPA concentrations during preconception (maternal and paternal) and pregnancy (maternal) were not associated with adverse autistic behaviors in these children. Larger studies are needed to elucidate the observed associations, while considering interactions between maternal nutrition and chemical exposures.

BACKGROUND: Long COVID can lead to functional disabilities and decreased well-being and limit the ability to work. No study has yet assessed associations of SARS-CoV-2-infection and Long COVID with specific measures of well-being and functional disabilities among workers by employment status. METHODS: Using data from the U.S. Behavioral Risk Factor Surveillance System, we assessed the prevalence of functional disabilities and well-being measures among adults of prime working age (25-54 years) by employment status and self-reported COVID-19 and Long COVID history. Within each employment status, we generated adjusted prevalence ratios (aPRs) comparing respondents from each 2022 COVID-19/Long COVID category to respondents in that employment status before the pandemic (2019). RESULTS: In 2022, prevalences of each functional disability except vision and all adverse well-being measures were highest among the 9.2% of respondents reporting a history of Long COVID. For each outcome, prevalences were lowest for workers and highest among those unable to work. 2022 prevalence of cognitive disability (16.4% of employees, 21.4% of the self-employed) and depression (31.2% and 36.4%, respectively) among workers reporting a history of Long COVID were more than double 2019 levels. Increases in cognitive disability and depression were lower but statistically significant among workers not reporting a history of Long COVID. CONCLUSIONS: The high prevalence of functional disabilities and adverse well-being among workers reporting a history of Long COVID have implications for workers and employers. Also concerning are smaller increases among workers not reporting a history of Long COVID, given the large number of affected workers. Mitigating the effects of Long COVID on workers will involve efforts in multiple domains: reducing incidence, increasing healthcare practitioner awareness, improving diagnosis and treatments, and increasing employer awareness of best practices for accommodating workers with Long COVID.

This cohort study examines the association of reuse of N95 filtering facepiece respirators and N95 filtration efficiency. | eng

BACKGROUND: Workers in healthcare and other essential occupations had elevated risks for COVID-19 infection early in the pandemic. No survey of U.S. workers to date has comprehensively assessed the prevalence of both COVID-19 and Long COVID across industries and occupations (I&O) at a detailed level. METHODS: Behavioral Risk Factor Surveillance System data for 2022 from 39 states, Guam, and the U.S. Virgin Islands were used to estimate prevalence of self-reported history of COVID-19 and Long COVID, as well as the prevalence of Long COVID among those reporting prior COVID-19, by broad and detailed I&O. Adjusted prevalence ratios were used to compare outcome prevalence in each I&O to prevalence among all other workers combined. RESULTS: By broad I&O, workers in healthcare, protective services, and education had elevated prevalences of COVID-19. The prevalence of Long COVID was elevated in healthcare and protective service but not education workers. Detailed I&O with significantly elevated prevalences of COVID-19 but not Long COVID included Dairy Product Manufacturing industry workers and subsets of mining workers. Both COVID-19 and Long COVID were elevated among bartenders/drinking places and personal care and appearance workers. The prevalence of Long COVID was elevated among farmworkers who reported having had COVID-19. CONCLUSIONS: Industries and occupations with elevated levels of COVID-19 or Long COVID in this study may warrant increased measures to prevent transmission of airborne respiratory viruses. Accommodations are a key component for supporting workers in all workplaces. This new information about the distribution of Long COVID by I&O suggests where employer understanding and implementation of tailored workplace supports and accommodations are most needed to support continued employment of affected workers.

Phthalates are ubiquitous pollutants in the environment; however, the mechanisms of phthalate-associated reproductive disorders in men are not fully understood. The aim of this study is to investigate associations between urinary phthalate metabolite concentrations and sperm DNA methylation. The study was conducted on 697 men from three prospective pregnancy cohorts: Longitudinal Investigation of Fertility and the Environment (LIFE) Study, Sperm Environmental Epigenetics and Development Study (SEEDS), and Environment and Reproductive Health (EARTH) Study. Eighteen phthalate and two phthalate alternative metabolites were quantified by mass spectrometry in preconception urinary samples and sperm DNA methylation was measured via Illumina EPIC Array (v1). Regional methylation analyses were conducted to identify cohort-specific loci associated with urinary phthalate metabolites. Models were adjusted for age, body mass index (BMI), race, smoking status, urinary creatinine/specific gravity, and analytical batch for phthalate measurements. The cohort-specific results were meta-analyzed using METAL. Participants had an average age of 30 years, most (79.6 %) of whom had BMI>25 kg/m(2) and were non-smokers (90.1 %). A total of 7,979 differentially methylated regions (DMRs; 7,979 LIFE-specific DMRs, 72 SEEDS-specific DMRs, and 23 EARTH-specific DMRs) were associated with urinary MBzP, MiBP, MMP, MCNP, MCPP, MBP, and MCOCH. Meta-analysis identified fewer DMRs than cohort-specific models: 946 DMRs were associated with MBzP, 27 DMRs associated with MiBP, and 1 DMR associated with MEHP. The majority of cohort-specific and meta-analysis-derived DMRs displayed a positive association with phthalate metabolite concentrations and were enriched in genes associated with spermatogenesis, response to hormones and their metabolism, embryonic organ development and developmental growth. In conclusion, several preconception urinary phthalate metabolites were associated with increased DNA methylation patterns in sperm. These findings provide an epigenetic pathway by which environmental phthalate exposures can impact couples' reproductive outcomes.

PURPOSE: Limited information is known about the burden of Long COVID by occupation and industry. This study compares the occurrence of self-reported new long-term symptoms lasting 4 weeks or longer among blood donors with and without prior SARS-CoV-2 infection by occupation and industry. METHODS: The American Red Cross invited blood donors 18 years and older who donated during May 4-December 31, 2021 to participate in online surveys. New long-term symptoms lasting 4 weeks or longer were assessed by self-reported occurrence of any of 35 symptoms since March 2020. SARS-CoV-2 infection status was determined by serological testing and self-report. We describe the prevalence of new long-term symptoms by SARS-CoV-2 infection status. We calculate the difference in reported new long-term symptoms by SARS-CoV-2 infection status within occupation and industry categories. RESULTS: Data were collected from 27,907 employed adults - 9763 were previously infected and 18,234 were never infected with SARS-CoV-2. New long-term symptoms were more prevalent among those previously infected compared to the never-infected respondents (45% vs 24%, p < 0.05). Among all respondents, new long-term symptoms by occupation ranged from 26% (installation, maintenance, and repair) to 41% (healthcare support) and by industry ranged from 26% (mining) to 55% (accommodation and food services). New long-term neurological and other symptoms were commonly reported by those previously infected with SARS-CoV-2. DISCUSSION: New long-term symptoms are more prevalent among certain occupation and industry groups, which likely reflects differential exposure to SARS-CoV-2. These findings highlight potential need for workplace accommodations in a variety of occupational settings to address new long-term symptoms.

We examined whether mixtures of urinary concentrations of bisphenol A (BPA), parabens and phthalate metabolites were associated with serum lipid levels among 175 pregnant women who enrolled in the Environment and Reproductive Health (EARTH) Study (2005-2017), including triglycerides, total cholesterol, high-density lipoprotein (HDL), non-HDL, and low-density lipoprotein (LDL). We applied Bayesian Kernel Machine Regression (BKMR) and quantile g-computation while adjusting for confounders. In the BKMR models, we found no associations between chemical mixture and lipid levels, e.g., total cholesterol [mean difference (95% CRI, credible interval) = 0.02 (-0.31, 0.34)] and LDL [mean difference (95% CRI) = 0.10 (-0.22, 0.43)], when comparing concentrations at the 75th to the 25th percentile. When stratified by BMI, we found suggestive positive relationships between urinary propylparaben and total cholesterol and LDL among women with high BMI [mean difference (95% CRI) = 0.25 (-0.26, 0.75) and 0.35 (-0.25, 0.95)], but not with low BMI [mean difference (95% CRI) = 0.00 (-0.06, 0.07) and 0.00 (-0.07, 0.07)]. No association was found by quantile g-computation. This exploratory study suggests mixtures of phenol and phthalate metabolites were not associated with serum lipid levels during pregnancy, while there were some suggestive associations for certain BMI subgroups. Larger longitudinal studies with multiple assessments of both exposure and outcome are needed to corroborate these novel findings.

We present a novel small molecule antiviral chemotype that was identified by an unconventional cell-free protein synthesis and assembly-based phenotypic screen for modulation of viral capsid assembly. Activity of PAV-431, a representative compound from the series, has been validated against infectious viruses in multiple cell culture models for all six families of viruses causing most respiratory diseases in humans. In animals, this chemotype has been demonstrated efficacious for porcine epidemic diarrhoea virus (a coronavirus) and respiratory syncytial virus (a paramyxovirus). PAV-431 is shown to bind to the protein 14-3-3, a known allosteric modulator. However, it only appears to target the small subset of 14-3-3 which is present in a dynamic multi-protein complex whose components include proteins implicated in viral life cycles and in innate immunity. The composition of this target multi-protein complex appears to be modified upon viral infection and largely restored by PAV-431 treatment. An advanced analog, PAV-104, is shown to be selective for the virally modified target, thereby avoiding host toxicity. Our findings suggest a new paradigm for understanding, and drugging, the host-virus interface, which leads to a new clinical therapeutic strategy for treatment of respiratory viral disease.

INTRODUCTION: We investigated 2018 gestational diabetes mellitus (GDM) prevalence estimates in three surveillance systems (National Vital Statistics System, State Inpatient Database, and Pregnancy Risk Assessment Monitoring Survey). METHODS: We calculated GDM prevalence for jurisdictions represented in each system; a subset of data was analyzed for people 18-39 years old in 22 jurisdictions present in all three systems to observe dataset-specific demographics and GDM prevalence using comparable categories. RESULTS: GDM prevalence estimates varied widely by data system and within the data subset despite comparable demographics. DISCUSSION: Understanding the differences between GDM surveillance data systems can help researchers better identify people and places at higher risk of GDM.

CONTEXT: Higher mean and rapid increases in body mass index (BMI) during infancy are associated with subsequent obesity and may be influenced by exposure to endocrine-disrupting chemicals such as phenols. OBJECTIVE: In a prospective US-based cohort conducted 2010-2014, we investigated associations between environmental phenol exposures and BMI in 199 infants. METHODS: We measured seven urinary phenols at ages 6-8 and 12 weeks and assessed BMI z-score at up to 12 study visits between birth and 36 weeks. We examined individual and joint associations of averaged early infancy phenols with level of BMI z-score using mean differences (β [95% confidence intervals (CI)]) and with BMI z-score trajectories using relative risk ratios (RR [95% CI]). RESULTS: Benzophenone-3, methyl and propyl paraben, and all phenols jointly were positively associated with higher mean BMI z-score (0.07 [-0.05, 0.18], 0.10 [-0.08, 0.27], 0.08 [-0.09, 0.25], 0.17 [-0.08, 0.43], respectively). Relative to a Stable trajectory, benzophenone-3, 2,4-dichlorophenol, 2,5-dichlorophenol, and all phenols jointly were positively associated with risk of a Rapid Increase trajectory (1.46 [0.89, 2.39], 1.33 [0.88, 2.01], 1.66 [1.03, 2.68], 1.41 [0.71, 2.84], respectively). CONCLUSION: Early phenol exposure was associated with a higher mean and rapid increase in BMI z-score across infancy, signaling potential long-term cardiometabolic consequences of exposure.

INTRODUCTION: Long COVID encompasses a wide range of health problems that emerge, persist, or recur following acute COVID-19 illness. Given that the prevalence of self-reported Long COVID is highest among U.S. adults in their prime working years, it is important to identify unmet needs and gaps in healthcare access and coverage among working age adults. METHODS: Prevalences (95% CI) of health insurance coverage and access to care by Long COVID status were estimated among adults 18-64 years (n = 18,117), accounting for survey design and weighted to the U.S. non-institutionalized population in the 2022 National Health Interview Survey. Analyses were conducted in 2023. RESULTS: Overall, 3.7% (95% CI 3.4, 4.0) of respondents were experiencing Long COVID. Adults experiencing Long COVID were less likely to report being uninsured relative to adults not experiencing Long COVID (P=0.004); however, 49.0% (95% CI 43.2, 54.7) had high deductible health plans. Adjusting for sociodemographic characteristics, adults experiencing Long COVID were more likely to access healthcare compared to adults not experiencing Long COVID (P<0.01 for seeing a doctor, telemedicine appointments, ≥2 urgent care visits, ≥2 emergency department visits, and hospitalized overnight). Despite more frequent healthcare use, adults experiencing Long COVID were also more likely to abstain from and delay medical care, therapy, and prescriptions due to cost compared to adults not experiencing Long COVID (P<0.0001 for all comparisons). CONCLUSIONS: These findings may be used to inform healthcare planning for adults experiencing Long COVID and highlight the ongoing need to improve access and affordability of quality and comprehensive care.

BACKGROUND: Exposure to phenols, endocrine-disrupting chemicals used in personal care and consumer products, is widespread. Data on infant exposures are limited despite heightened sensitivity to endocrine disruption during this developmental period. We aimed to describe distributions and predictors of urinary phenol concentrations among U.S. infants ages 6-12 weeks. METHODS: The Infant Feeding and Early Development (IFED) study is a prospective cohort study of healthy term infants enrolled during 2010-2013 in the Philadelphia region. We measured concentrations of seven phenols in 352 urine samples collected during the 6- or 8- and/or 12-week study visits from 199 infants. We used linear mixed models to estimate associations of maternal, sociodemographic, infant, and sample characteristics with natural-log transformed, creatinine-standardized phenol concentrations and present results as mean percent change from the reference level. RESULTS: Median concentrations (μg/L) were 311 for methylparaben, 10.3 for propylparaben, 3.6 for benzophenone-3, 2.1 for triclosan, 1.0 for 2,5-dichlorophenol, 0.7 for BPA, and 0.3 for 2,4-dichlorophenol. Geometric mean methylparaben concentrations were approximately 10 times higher than published estimates for U.S. children ages 3-5 and 6-11 years, while propylparaben concentrations were 3-4 times higher. Infants of Black mothers had higher concentrations of BPA (83%), methylparaben (121%), propylparaben (218%), and 2,5-dichorophenol (287%) and lower concentrations of benzophenone-3 (-77%) and triclosan (-53%) than infants of White mothers. Triclosan concentrations were higher in breastfed infants (176%) and lower in infants whose mothers had a high school education or less (-62%). Phenol concentrations were generally higher in summer samples. CONCLUSIONS: Widespread exposure to select environmental phenols among this cohort of healthy U.S. infants, including much higher paraben concentrations compared to those reported for U.S. children, supports the importance of expanding population-based biomonitoring programs to infants and toddlers. Future investigation of exposure sources is warranted to identify opportunities to minimize exposures during these sensitive periods of development.

OBJECTIVE: To evaluate the association between urinary benzophenone-3 concentrations and measures of ovarian reserve (OR) among women in the Environment and Reproductive Health (EARTH) Study seeking fertility treatment at Massachusetts General Hospital in Boston, Massachusetts. DESIGN: Prospective cohort study. METHODS: Women from the EARTH cohort contributed spot urine samples before assessment of OR outcomes. Antral follicle count (AFC) and day-3 follicle stimulating hormone (FSH) levels were evaluated as part of standard infertility workups during unstimulated menstrual cycles. Quasi-Poisson and linear regression models were used to evaluate the association of specific gravity (SG)-adjusted urinary benzophenone-3 concentrations with AFC and FSH, respectively, with adjustment for age and physical activity. In secondary analyses, models were stratified by age. Sensitivity analyses assessed for confounding by season by restricting to women with exposure and outcome measured in the same season and stratifying by summer vs. non-summer months and for confounding by sunscreen use by restricting to women who filled out product questionnaires and adjusting for and stratifying by average sunscreen use score. RESULTS: The study included 142 women (mean age ± SD, 36.1 ± 4.6; range, 22-45 years) enrolled between 2009 and 2017 with both urinary benzophenone-3 and AFC and 57 women with benzophenone-3 and FSH measurements. Most women were white (78%) and highly educated (49% with a graduate degree). Women contributed a mean of 2.7 urine samples (range, 1-10) with 37% contributing 2 or more samples. Benzophenone-3 was detected in 98% of samples. Geometric mean (GM) SG-corrected urinary benzophenone-3 concentration was 85.9 μ g/L (geometric standard deviation 6.2). There were no associations of benzophenone-3 with AFC and day-3 FSH in the full cohort. In stratified models, a 1-unit increase in log GM benzophenone-3 was associated with AFC 0.91 (95% CI, 0.86, 0.97) times lower among women ≤35 years old and was associated with FSH 0.73 (95% CI, 0.12, 1.34) IU/L higher among women >35 years old. Effect estimates from models stratified by season and sunscreen use were null. CONCLUSION: In main models, urinary benzophenone-3 was not associated with OR. However, younger may be vulnerable to potential effects of benzophenone-3 on AFC. Further research is warranted.

BACKGROUND: Eating behaviors are controlled by the neuroendocrine system. Whether endocrine disrupting chemicals have the potential to affect eating behaviors has not been widely studied in humans. We investigated whether maternal and paternal preconception and maternal pregnancy urinary phthalate biomarker and bisphenol-A (BPA) concentrations were associated with children's eating behaviors. METHODS: We used data from mother-father-child triads in the Preconception Environmental exposure And Childhood health Effects (PEACE) Study, an ongoing prospective cohort study of children aged 6-13 years whose parent(s) previously enrolled in a fertility clinic-based prospective preconception study. We quantified urinary concentrations of 11 phthalate metabolites and BPA in parents' urine samples collected preconceptionally and during pregnancy. Parents rated children's eating behavior using the Child Eating Behavior Questionnaire (CEBQ). Using multivariable linear regression, accounting for correlation among twins, we estimated covariate-adjusted associations of urinary phthalate biomarkers and BPA concentrations with CEBQ subscale scores. RESULTS: This analysis included 195 children (30 sets of twins), 160 mothers and 97 fathers; children were predominantly non-Hispanic white (84%) and 53% were male. Paternal and maternal preconception monobenzyl phthalate (MBzP) concentrations and maternal preconception mono-n-butyl phthalate (MnBP) were positively associated with emotional overeating, food responsiveness, and desire to drink scores in children (β(')s= 0.11 [95% CI: 0.01, 0.20]-0.21 [95% CI: 0.10, 0.31] per log(e) unit increase in phthalate biomarker concentration). Paternal preconception BPA concentrations were inversely associated with scores on food approaching scales. Maternal pregnancy MnBP, mono-isobutyl phthalate (MiBP) and MBzP concentrations were associated with increased emotional undereating scores. Maternal pregnancy monocarboxy-isononyl phthalate concentrations were related to decreased food avoiding subscale scores. CONCLUSIONS: In this cohort, higher maternal and paternal preconception urinary concentrations of some phthalate biomarkers were associated with increased food approaching behavior scores and decreased food avoiding behavior scores, which could lead to increased adiposity in children.

We fit a power law distribution to US foodborne disease outbreaks to assess underdetection and underreporting. We predicted that 788 fewer than expected small outbreaks were identified annually during 1998-2017 and 365 fewer during 2018-2019, after whole-genome sequencing was implemented. Power law can help assess effectiveness of public health interventions.