Many U.S. schools closed nationwide in March 2020 to prevent the spread of COVID-19. School closures and online-only instruction have negatively affected certain students, with studies showing adverse effects of the pandemic on mental health. However, little is known about other experiences such as economic and food insecurity and abuse by a parent, as well as risk behaviors such as alcohol and drug use among youths across the United States during the pandemic. To address this gap, CDC developed the one-time, online Adolescent Behaviors and Experiences Survey (ABES), which was conducted during January-June 2021 to assess student behaviors and experiences during the COVID-19 pandemic among high school students, including unintentional injury, violence, tobacco product use, sexual behaviors, and dietary behaviors. This overview report of the ABES MMWR Supplement describes the ABES methodology, including the student questionnaire and administration, sampling, data collection, weighting, and analysis. ABES used a stratified, three-stage cluster probability-based sampling approach to obtain a nationally representative sample of students in grades 9-12 attending public and private schools. Teachers of selected classes provided students with access to the anonymous online survey while following local consent procedures. Data were collected using a 110-item questionnaire during January-June 2021 in 128 schools. A total of 7,998 students submitted surveys, and 7,705 of these surveys had valid data (i.e., ≥20 questions answered). The school response rate was 38%, the student response rate was 48%, and the overall response rate was 18%. Information on mode of instruction and school-provided equipment was also collected from all sampled schools. This overview report provides student- and school-level characteristics obtained from descriptive analyses, and the other reports in the ABES MMWR Supplement include information on substance use, mental health and suicidality, perceived racism, and disruptions to student life among high school students. Findings from ABES during the COVID-19 pandemic can help guide parents, teachers, school administrators, community leaders, clinicians, and public health officials in decision-making for student support and school health programs.

Health risk behaviors practiced during adolescence often persist into adulthood and contribute to the leading causes of morbidity and mortality in the United States. Youth health behavior data at the national, state, territorial, tribal, and local levels help monitor the effectiveness of public health interventions designed to promote adolescent health. The Youth Risk Behavior Surveillance System (YRBSS) is the largest public health surveillance system in the United States, monitoring a broad range of health-related behaviors among high school students. YRBSS includes a nationally representative Youth Risk Behavior Survey (YRBS) and separate state, local school district, territorial, and tribal school-based YRBSs. This overview report describes the surveillance system and the 2019 survey methodology, including sampling, data collection procedures, response rates, data processing, weighting, and analyses presented in this MMWR Supplement. A 2019 YRBS participation map, survey response rates, and student demographic characteristics are included. In 2019, a total of 78 YRBSs were administered to high school student populations across the United States (national and 44 states, 28 local school districts, three territories, and two tribal governments), the greatest number of participating sites with representative data since the surveillance system was established in 1991. The nine reports in this MMWR Supplement are based on national YRBS data collected during August 2018-June 2019. A full description of 2019 YRBS results and downloadable data are available (https://www.cdc.gov/healthyyouth/data/yrbs/index.htm).Efforts to improve YRBSS and related data are ongoing and include updating reliability testing for the national questionnaire, transitioning to electronic survey administration (e.g., pilot testing for a tablet platform), and exploring innovative analytic methods to stratify data by school-level socioeconomic status and geographic location. Stakeholders and public health practitioners can use YRBS data (comparable across national, state, tribal, territorial, and local jurisdictions) to estimate the prevalence of health-related behaviors among different student groups, identify student risk behaviors, monitor health behavior trends, guide public health interventions, and track progress toward national health objectives.

Motor-vehicle crashes are a leading cause of death and nonfatal injury among U.S. adolescents, resulting in approximately 2,500 deaths and 300,000 nonfatal injuries each year. Risk for motor-vehicle crashes and resulting injuries and deaths varies, depending on such behaviors as seat belt use or impaired or distracted driving. Improved understanding of adolescents' transportation risk behaviors can guide prevention efforts. Therefore, data from the 2019 Youth Risk Behavior Survey were analyzed to determine prevalence of transportation risk behaviors, including not always wearing a seat belt, riding with a driver who had been drinking alcohol (riding with a drinking driver), driving after drinking alcohol, and texting or e-mailing while driving. Differences by student characteristics (age, sex, race/ethnicity, academic grades in school, and sexual identity) were calculated. Multivariable analyses controlling for student characteristics examined associations between risk behaviors. Approximately 43.1% of U.S. high school students did not always wear a seat belt and 16.7% rode with a drinking driver during the 30 days before the survey. Approximately 59.9% of students had driven a car during the 30 days before the survey. Among students who drove, 5.4% had driven after drinking alcohol and 39.0% had texted or e-mailed while driving. Prevalence of not always wearing a seat belt was higher among students who were younger, black, or had lower grades. Riding with a drinking driver was higher among Hispanic students or students with lower grades. Driving after drinking alcohol was higher among students who were older, male, Hispanic, or had lower grades. Texting while driving was higher among older students or white students. Few differences existed by sexual identity. Multivariable analyses revealed that students engaging in one transportation risk behavior were more likely to engage in other transportation risk behaviors. Traffic safety and public health professionals can use these findings to reduce transportation risk behaviors by selecting, implementing, and contextualizing the most appropriate and effective strategies for specific populations and for the environment.

Objectives: In 2019, the Council of State and Territorial Epidemiologists ratified a multitiered standardized surveillance case definition (SSCD) for neonatal abstinence syndrome (NAS) to minimize variability in definitions across states. This evaluation of the tier 1 NAS SSCD aimed to identify common challenges and opportunities for enhancement to support consistent implementation of the definition. Methods: This mixed-methods analysis consisted of 3 virtual focus groups in March 2021 with site principal investigators, medical record abstractors, and data analysts (1 focus group each) from 4 jurisdictions piloting the tier 1 NAS SSCD. We analyzed focus group transcripts to create a codebook. We collected written reports in February 2022 from the 4 jurisdictions, conducted thematic analysis of focus group transcripts and written reports to identify themes, and collected surveillance data on infants identified with NAS born from January 2020 through December 2021 from the pilot sites. We analyzed surveillance data to further inform identified themes. We examined agreement among tier 1 classifications assigned independently by each pilot site and the Centers for Disease Control and Prevention to cases of NAS. Results: Three major themes emerged in the data: challenges abstracting data on withdrawal signs from the medical record, difficulty determining the time frame of prenatal substance exposure, and challenges assigning case classifications. In a comparison of tier 1 classifications assigned by the Centers for Disease Control and Prevention and the sites, 82.1% of cases in the dataset were concordant. Conclusions: We identified several opportunities to modify the SSCD to promote consistency and ease implementation across jurisdictions. Promoting consistent implementation supports comparability of NAS incidence estimates across jurisdictions, evaluation of prevention efforts, and allocation of resources to support families. © 2024, Association of Schools and Programs of Public Health.

Although decentralized wastewater and distributed water reuse professionals represent a key part of environmental public health and environmental engineering, an understanding of workforce challenges has remained elusive. Here we begin to address the critical need of understanding education, training, and outreach needs for decentralized wastewater and distributed water reuse. We specifically engaged professionals working in health departments and other government agencies, industry, academia, and nongovernmental organizations. We examined workforce characteristics related to education, training, and outreach. We found that 37% of decentralized wastewater and distributed water reuse professionals plan to retire within 5 years, approximately 25% of these professionals do not hold any type of certification, and education and training are insufficient to meet current workforce demands. We further report 10 problem statements associated with timely education, training, and outreach needs, which represent important opportunities for improving the practice of decentralized wastewater and distributed water reuse. Strategic education, training, and outreach activities are necessary to ensure workforce preparedness, to promote education with owners of onsite technologies, and to expand advanced training and translational research programs in decentralized wastewater and distributed water reuse. Our findings can specifically support decision making aimed at sustaining and advancing the decentralized wastewater and distributed water reuse workforce.

OBJECTIVES: To assess infant breastfeeding initiation and any breastfeeding at 8 weeks and safe sleep practices (back sleep position, approved sleep surface, and no soft objects or loose bedding ["soft bedding"]) by select paternal characteristics among a state-representative sample of fathers with new infants. METHODS: Pregnancy Risk Assessment Monitoring System (PRAMS) for Dads, a novel population-based cross-sectional study, surveyed fathers in Georgia 2-6 months after their infant's birth. Fathers were eligible if the infant's mother was sampled for maternal PRAMS from October 2018 to July 2019. RESULTS: Of 250 respondents, 86.1% reported their infants ever breastfed and 63.4% reported breastfeeding at 8 weeks. Initiation and breastfeeding at 8 weeks were more likely to be reported by fathers who reported wanting their infant's mother to breastfeed than those who did not want her to breastfeed or had no opinion (adjusted prevalence ratio [aPR] = 1.39; 95% confidence interval [CI], 1.15-1.68; aPR = 2.33; 95% CI, 1.59-3.42, respectively) and fathers who were college graduates than those with ≤high school diploma (aPR = 1.25; 95% CI, 1.06-1.46; aPR = 1.44; 95% CI, 1.08-1.91, respectively). Although about four-fifths (81.1%) of fathers reported usually placing their infants to sleep on their back, fewer fathers report avoiding soft bedding (44.1%) or using an approved sleep surface (31.9%). Non-Hispanic Black fathers were less likely to report back sleep position (aPR = 0.70; 95% CI, 0.54-0.90) and no soft bedding (aPR = 0.52; 95% CI, 0.30-0.89) than non-Hispanic white fathers. CONCLUSIONS: Fathers reported suboptimal infant breastfeeding rates and safe sleep practices overall and by paternal characteristics, suggesting opportunities to include fathers in promotion of breastfeeding and infant safe sleep.

This article summarizes what is currently known about the 2019 novel coronavirus and offers interim guidance.

Fares-Gusmao Rafaelle, Jiang Zhen, Subramaniam Sakthivel, Visser Bryan J, Scott Alysia, Ishida Yuji, Saito Takeshi, Baylis Sally A, McGivern David R, . Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology 2022 157105325

BACKGROUND: Since the inception of the Youth Risk Behavior Surveillance System in 1991, all surveys have been conducted in schools, using paper and pencil instruments (PAPI). For the 2019 YRBSS, sites were offered the opportunity to conduct their surveys using electronic data collection. This study aimed to determine whether differences in select metrics existed between students who completed the survey electronically versus using PAPI. METHODS: Thirty risk behaviors were examined in this study. Data completeness, response rates and bivariate comparisons of risk behavior prevalence between administration modes were examined. RESULTS: Twenty-nine of 30 questions examined had more complete responses among students using electronic surveys. Small differences were found for student and school response rates between modes. Twenty-five of 30 adolescent risk behaviors showed no mode effect. CONCLUSIONS: Seven of 44 states and DC participated electronically. Because survey data were more complete; school and student response rates were consistent; and minor differences existed in risk behaviors between modes, the acceptability of collecting data electronically was demonstrated.

Dracunculus medinensis (Guinea worm [GW]), a zoonotic nematode targeted for eradication, has been managed using interventions aimed at humans; however, increases in domestic dog GW infections highlight the need for novel approaches. We conducted two clinical trials evaluating the efficacy of subcutaneously injected flubendazole (FBZ) as a treatment of GW infection. The first trial was conducted administering FBZ to experimentally infected ferrets; the second trial involved administering FBZ or a placebo to domestic dogs in the Republic of Tchad (Chad). We found contrasting results between the two trials. When adult gravid female GW were recovered from ferrets treated with FBZ, larvae presented in poor condition, with low to no motility, and an inability to infect copepods. Histopathology results indicated a disruption to morulae development within uteri of worms from treated animals. Results from the trial in Chadian dogs failed to indicate significant treatment of or prevention against GW infection. However, the difference in treatment intervals (1 month for ferrets and 6 months for dogs) or the timing of treatment (ferrets were treated later in the GW life-cycle than dogs) could explain different responses to the subcutaneous FBZ injections. Both trials provided valuable data guiding the use of FBZ in future trials (such as decreasing treatment intervals or increasing the dose of FBZ in dogs to increase exposure), and highlighted important lessons learned during the implementation of a field-based, double-blinded randomized control trial in Chadian dogs.

OBJECTIVE: To describe the epidemiology of laboratory-confirmed Diarrheagenic Escherichia coli (DEC) cases from active facility-based surveillance in Guatemala. METHODS: We collected clinical and risk factor data on enrolled patients (aged 0-52 years) with acute diarrhea at government healthcare facilities (1 hospital and 6 clinics) in Santa Rosa, Guatemala, during 2008-2009 and 2014-2015. Stool samples were analyzed and E. coli identified through culture and biochemical tests, PCR amplification of genes encoding pathotype-specific virulence factors identified specific DEC pathotypes. Healthcare-seeking adjusted incidence rates were calculated. RESULTS: 3041 diarrhea cases were captured by surveillance (647 hospitalizations (H), 2394 clinic visits (CV)); general E. coli prevalence was 17.9%. DEC pathotypes were identified in 19% (n=95/497) and 21% (n=450/2113) in diarrhea H and CV, respectively. Enteropathogenic E. coli (EPEC) was most frequently isolated (8.2% (n=41) in diarrhea H, 12.0% (n =255) in diarrhea CV), followed by ETEC (6.8% (n=34) in H, 6% (n=128) in CV) and STEC (0.6% (n=3) in H, 0.6% (n=13) in CV). We did not find evidence of a difference in severity between DEC and non-DEC diarrhea. Incidence of DEC clinic visits and hospitalizations was 648.0 and 29.3, respectively, per 10,000 persons aged 5 years and 36.8 and 0.4, respectively, per 10,000 persons aged >5 years. CONCLUSIONS: DEC pathotypes, especially EPEC and ETEC, were detected frequently from patients presenting with diarrheal illness in Santa Rosa, Guatemala. Our findings suggest that preventive interventions should be prioritized for young children.

Introduction: Many federal and national partners have a renewed commitment to addressing health equity and racial equity as a public health issue of concern. These are especially important issues in addressing many injury and violence prevention (IVP) topic areas. In developing and updating approaches to address injury and violence-related health and racial equity challenges, CDC and Safe States Alliance wanted to better understand how partners in the field are already approaching these issues. An environmental scan was conducted to explore how IVP professionals advance health equity and racial equity in their programmatic work. Methods: Data collection occurred from multiple sources including focus groups and surveys. Health equity and racial equity-related questions were added to the Safe States Member Survey: Evaluating the Impact of COVID-19 on the IVP Workforce and Assessing Equity Initiative (COVID Impact and Equity Survey). An analysis of secondary data sources was conducted through ongoing evaluation initiatives at Safe States Alliance (the COVID Impact Evaluation and Connections Lab Evaluation Focus Groups). Conclusions: Successes and challenges were identified through the environmental scan that primarily fell into three categories: (1) Injury and Violence Prevention Strategies and Programs, (2) Using IVP Data to Inform Equity Approaches, (3) Equity Approaches in IVP Infrastructure. Practical Applications: Practical applications were identified that can be supported at the local, state, and federal/national level and are specific to the areas of IVP strategies and programs, IVP data and surveillance, and IVP organizational infrastructure. A few examples include: (1) Ensuring decision-making power and ownership of programs is shared between community partners and funders; (2) Working with national/federal surveillance system partners to ensure demographic fields/variables are improved to identify disparities and inequities; (3) Development of an “Injury and Violence Prevention Equity Institute” to better prepare IVP professionals to address health and racial equity challenges. © 2022

BACKGROUND: Becoming a father impacts men's health and wellbeing, while also contributing to the health and wellbeing of mothers and children. There is no large-scale, public health surveillance system aimed at understanding the health and behaviors of men transitioning into fatherhood. The purpose of this study was to describe piloted randomized approaches of a state-based surveillance system examining paternal behaviors before and after their infant's birth to better understand the health needs of men and their families during the transition to parenthood. METHODS: During October 2018-July 2019, 857 fathers in Georgia were sampled 2-6 months after their infant's birth from birth certificates files and surveyed via mail, online or telephone, in English or Spanish, using two randomized approaches: Indirect-to-Dads and Direct-to-Dads. Survey topics included mental and physical health, healthcare, substance use, and contraceptive use. FINDINGS: Weighted response rates (Indirect-to-Dads, 33%; Direct-to-Dads, 31%) and population demographics did not differ by approach. Respondents completed the survey by mail (58%), online (28%) or telephone (14%). Among 266 fathers completing the survey, 55% had a primary care physician, and 49% attended a healthcare visit for themselves during their infant's mother's pregnancy or since their infant's birth. Most fathers were overweight or had obesity (70%) while fewer reported smoking cigarettes (19%), binge drinking (13%) or depressive symptoms (10%) since their infant's birth. CONCLUSIONS: This study tests a novel approach for obtaining population-based estimates of fathers' perinatal health behaviors, with comparable response rates from two pragmatic approaches. The pilot study results quantify a number of public health needs related to fathers' health and healthcare access.

BACKGROUND: Safe and effective long-acting injectable agents for preexposure prophylaxis (PrEP) for human immunodeficiency virus (HIV) infection are needed to increase the options for preventing HIV infection. METHODS: We conducted a randomized, double-blind, double-dummy, noninferiority trial to compare long-acting injectable cabotegravir (CAB-LA, an integrase strand-transfer inhibitor [INSTI]) at a dose of 600 mg, given intramuscularly every 8 weeks, with daily oral tenofovir disoproxil fumarate-emtricitabine (TDF-FTC) for the prevention of HIV infection in at-risk cisgender men who have sex with men (MSM) and in at-risk transgender women who have sex with men. Participants were randomly assigned (1:1) to receive one of the two regimens and were followed for 153 weeks. HIV testing and safety evaluations were performed. The primary end point was incident HIV infection. RESULTS: The intention-to-treat population included 4566 participants who underwent randomization; 570 (12.5%) identified as transgender women, and the median age was 26 years (interquartile range, 22 to 32). The trial was stopped early for efficacy on review of the results of the first preplanned interim end-point analysis. Among 1698 participants from the United States, 845 (49.8%) identified as Black. Incident HIV infection occurred in 52 participants: 13 in the cabotegravir group (incidence, 0.41 per 100 person-years) and 39 in the TDF-FTC group (incidence, 1.22 per 100 person-years) (hazard ratio, 0.34; 95% confidence interval, 0.18 to 0.62). The effect was consistent across prespecified subgroups. Injection-site reactions were reported in 81.4% of the participants in the cabotegravir group and in 31.3% of those in the TDF-FTC group. In the participants in whom HIV infection was diagnosed after exposure to CAB-LA, INSTI resistance and delays in the detection of HIV infection were noted. No safety concerns were identified. CONCLUSIONS: CAB-LA was superior to daily oral TDF-FTC in preventing HIV infection among MSM and transgender women. Strategies are needed to prevent INSTI resistance in cases of CAB-LA PrEP failure. (Funded by the National Institute of Allergy and Infectious Diseases and others; HPTN 083 ClinicalTrials.gov number, NCT02720094.).

PURPOSE: This study examined associations between student sexual behaviors and both school-level socioeconomic status and metropolitan status. METHODS: National Youth Risk Behavior Survey data from 2017 (N = 14,765, response rate = 60%) and 2019 (N = 13,677, 60%) were combined. School-level socioeconomic status (low-, mid-, and high-poverty based on the percentage of students eligible for free or reduced-price meals) and metropolitan status (urban, suburban/town, or rural) were identified for students attending public high schools. Sexual behaviors included currently sexually active, four or more lifetime sexual partners, condom use during the last sexual intercourse, hormonal birth control use during the last sexual intercourse, condom and hormonal birth control use during the last sexual intercourse, and drank alcohol or used drugs before the last sexual intercourse. Adjusted prevalence ratios were calculated using logistic regression models, controlling for sex, race/ethnicity, and grade. RESULTS: Compared to students attending low-poverty schools, high-poverty school students were significantly more likely to be currently sexually active (adjusted prevalence ratio = 1.4 [95% confidence interval = 1.1-1.8]) and have four or more lifetime sexual partners (1.6 [1.0-2.5]), but were significantly less likely to have drank alcohol or used drugs before the last sexual intercourse (.7 [.5-.9]) and have used hormonal birth control during the last sexual intercourse (.7 [.6-1.0]). Compared to students attending rural schools, urban school students were significantly less likely to be currently sexually active (.8 [.7-.9]) and have four or more lifetime sexual partners (.7 [.5-.9]). CONCLUSIONS: School-level socioeconomic status and metropolitan status were associated with differential risk in sexual behaviors.

BACKGROUND: Approximately 8.8% of US high school students attended private schools in 2015. Few studies have characterized health risk behaviors among these students or compared prevalence of behaviors between students in private and public schools using a contemporary, nationally representative sample. METHODS: Pooled 2007-2017 national Youth Risk Behavior Survey data were used to estimate the prevalence of 35 health risk behaviors for 89,848 public and private high school students. Unadjusted prevalence ratios were used to compare prevalence by school type. Differences in behaviors by school type were explored by sex and grade. RESULTS: Among private school students, the prevalence ranged from 5.0% to 31.9% for sexual risk behaviors; from 0.8% to 30.1% for substance use behaviors; from 0.7% to 21.8% for behaviors related mental health and suicide; from 3.2% to 6.8% for violence victimization experiences; and from 3.1% to 52.9% for behaviors related to unhealthy diet and physical inactivity. Private school students were less likely than public school students to report most behaviors; differences by school type were generally consistent across sex and grade. CONCLUSIONS: Students in both public and private schools reported health risk behaviors. Findings might inform prevention activities by identifying behaviors to prioritize in each school setting.

Patient care and public health require timely, reliable laboratory testing. However, clinical laboratory professionals rarely know whether patient specimens contain infectious agents, making ensuring biosafety while performing testing procedures challenging. The importance of biosafety in clinical laboratories was highlighted during the 2014 Ebola outbreak, where concerns about biosafety resulted in delayed diagnoses and contributed to patient deaths. This review is a collaboration between subject matter experts from large and small laboratories and the federal government to evaluate the capability of clinical laboratories to manage biosafety risks and safely test patient specimens. We discuss the complexity of clinical laboratories, including anatomic pathology, and describe how applying current biosafety guidance may be difficult as these guidelines, largely based on practices in research laboratories, do not always correspond to the unique clinical laboratory environments and their specialized equipment and processes. We retrospectively describe the biosafety gaps and opportunities for improvement in the areas of risk assessment and management; automated and manual laboratory disciplines; specimen collection, processing, and storage; test utilization; equipment and instrumentation safety; disinfection practices; personal protective equipment; waste management; laboratory personnel training and competency assessment; accreditation processes; and ethical guidance. Also addressed are the unique biosafety challenges successfully handled by a Texas community hospital clinical laboratory that performed testing for patients with Ebola without a formal biocontainment unit. The gaps in knowledge and practices identified in previous and ongoing outbreaks demonstrate the need for collaborative, comprehensive solutions to improve clinical laboratory biosafety and to better combat future emerging infectious disease outbreaks.

Objective: After the discontinuation of School Health Policies and Practices Study (SHPPS) in 2016, the US Centers for Disease Control and Prevention (CDC) began exploring innovative ways to gather school health information using existing surveillance systems. School Health Profiles (Profiles) is a school-based system of surveys that monitors school health policies and practices in states and other jurisdictions. The objective of this study was to assess whether prevalence estimates calculated using nationally representative SHPPS as an established benchmark were similar to estimates using aggregated Profiles data. Method: Nationwide 2014 Profiles estimates were calculated from data across all 50 US states and the District of Columbia and compared to national 2014 SHPPS estimates. Fifty-seven questions were identical between the data sources. Equivalence tests were used to determine similarity between data sources. Results: Overall, the median difference between 2014 SHPPS and 2014 Profiles estimate was one percentage point and distribution-free 95% confidence intervals were (−0.8, 3.1). Of the 57 school health policy and practice indicators examined in this study, 38 (66.7%) were found to be equivalent. Of these equivalent indicators, the median percentage point difference between data sources was 0.8 (−0.8, 2.5). A nonparametric sign test showed that none of the medians of the estimate differences examined were significantly different from zero. Conclusion: This study demonstrates the expanded utility of state-level data to meet public health surveillance needs. This study found that aggregated, state-level Profiles data can be used to calculate nationwide prevalence estimates that are reasonably consistent with results from a nationally representative survey. © The Author(s) 2021.

OBJECTIVE: To determine the difference in rate of weight gain from birth to 5 years based on exposure to maternal group B streptococcal (GBS) intrapartum antibiotic prophylaxis (IAP). DESIGN: Retrospective cohort study of 13 804 infants. SETTING: Two perinatal centres and a primary paediatric care network in Philadelphia. PARTICIPANTS: Term infants born 2007-2012, followed longitudinally from birth to 5 years of age. EXPOSURES: GBS IAP defined as penicillin, ampicillin, cefazolin, clindamycin or vancomycin administered ≥4 hours prior to delivery to the mother. Reference infants were defined as born to mothers without (vaginal delivery) or with other (caesarean delivery) intrapartum antibiotic exposure. OUTCOMES: Difference in rate of weight change from birth to 5 years was assessed using longitudinal rate regression. Analysis was a priori stratified by delivery mode and adjusted for relevant covariates. RESULTS: GBS IAP was administered to mothers of 2444/13 804 (17.7%) children. GBS IAP-exposed children had a significantly elevated rate of weight gain in the first 5 years among vaginally-born (adjusted rate difference 1.44% (95% CI 0.3% to 2.6%)) and caesarean-born (3.52% (95% CI 1.9% to 5.2%)) children. At 5 years, the rate differences equated to an additional 0.24 kg among vaginally-born children and 0.60 kg among caesarean-born children. CONCLUSION: GBS-specific IAP was associated with a modest increase in rate of early childhood weight gain. GBS IAP is an effective intervention to prevent perinatal GBS disease-associated morbidity and mortality. However, these findings highlight the need to better understand effects of intrapartum antibiotic exposure on childhood growth and support efforts to develop alternate prevention strategies.

After a period of rapidly declining U.S. COVID-19 incidence during January-March 2021, increases occurred in several jurisdictions (1,2) despite the rapid rollout of a large-scale vaccination program. This increase coincided with the spread of more transmissible variants of SARS-CoV-2, the virus that causes COVID-19, including B.1.1.7 (1,3) and relaxation of COVID-19 prevention strategies such as those for businesses, large-scale gatherings, and educational activities. To provide long-term projections of potential trends in COVID-19 cases, hospitalizations, and deaths, COVID-19 Scenario Modeling Hub teams used a multiple-model approach comprising six models to assess the potential course of COVID-19 in the United States across four scenarios with different vaccination coverage rates and effectiveness estimates and strength and implementation of nonpharmaceutical interventions (NPIs) (public health policies, such as physical distancing and masking) over a 6-month period (April-September 2021) using data available through March 27, 2021 (4). Among the four scenarios, an accelerated decline in NPI adherence (which encapsulates NPI mandates and population behavior) was shown to undermine vaccination-related gains over the subsequent 2-3 months and, in combination with increased transmissibility of new variants, could lead to surges in cases, hospitalizations, and deaths. A sharp decline in cases was projected by July 2021, with a faster decline in the high-vaccination scenarios. High vaccination rates and compliance with public health prevention measures are essential to control the COVID-19 pandemic and to prevent surges in hospitalizations and deaths in the coming months.

A suspected outbreak of influenza A and SARS-CoV-2 at a long-term care facility in Los Angeles County was months later, determined to not involve influenza. To prevent inadvertent transmission of infections, facilities should use highly specific influenza diagnostics and follow CDC guidelines that specifically address infection control challenges.

BACKGROUND: Partial artemisinin resistance is suspected if delayed parasite clearance (ie, persistence of parasitaemia on day 3 after treatment initiation) is observed. Validated markers of artemisinin partial resistance in southeast Asia, Plasmodium falciparum kelch13 (Pfkelch13) R561H and P574L, have been reported in Rwanda but no association with parasite clearance has been observed. We aimed to establish the efficacy of artemether-lumefantrine and genetic characterisation of Pfkelch13 alleles and their association with treatment outcomes. METHODS: This open-label, single-arm, multicentre, therapeutic efficacy study was done in 2018 in three Rwandan sites: Masaka, Rukara, and Bugarama. Children aged 6-59 months with P falciparum monoinfection and fever were eligible and treated with a 3-day course of artemether-lumefantrine. Treatment response was monitored for 28 days using weekly microscopy screenings of blood samples for P falciparum. Mutations in Pfkelch13 and P falciparum multidrug resistance-1 (Pfmdr1) genes were characterised in parasites collected from enrolled participants. Analysis of flanking microsatellites surrounding Pfkelch13 was done to define the origins of the R561H mutations. The primary endpoint was PCR-corrected parasitological cure on day 28, as per WHO protocol. FINDINGS: 228 participants were enrolled and 224 (98·2%) reached the study endpoint. PCR-corrected efficacies were 97·0% (95% CI 88-100) in Masaka, 93·8% (85-98) in Rukara, and 97·2% (91-100) in Bugarama. Pfkelch13 R561H mutations were present in 28 (13%) of 218 pre-treatment samples and P574L mutations were present in two (1%) pre-treatment samples. 217 (90%) of the 240 Pfmdr1 haplotypes observed in the pretreatment samples, had either the NFD (N86Y, Y184F, D1246Y) or NYD haplotype. Eight (16%) of 51 participants in Masaka and 12 (15%) of 82 participants in Rukara were microscopically positive 3 days after treatment initiation, which was associated with pre-treatment presence of Pfkelch13 R561H in Masaka (p=0·0005). Genetic analysis of Pfkelch13 R561H mutations suggest their common ancestry and local origin in Rwanda. INTERPRETATION: We confirm evidence of emerging artemisinin partial resistance in Rwanda. Although artemether-lumefantrine remains efficacious, vigilance for decreasing efficacy, further characterisation of artemisinin partial resistance, and evaluation of additional antimalarials in Rwanda should be considered. FUNDING: The US President's Malaria Initiative. TRANSLATION: For the French translation of the abstract see Supplementary Materials section.

IMPORTANCE: Multiple inflammatory syndrome in children (MIS-C) occurs in association with the COVID-19 pandemic. OBJECTIVE: To describe the clinical characteristics and geographic and temporal distribution of the largest cohort of patients with MIS-C in the United States to date. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional analysis was conducted on clinical and laboratory data collected from patients with MIS-C. The analysis included patients with illness onset from March 2020 to January 2021 and met MIS-C case definition. MAIN OUTCOMES AND MEASURES: Geographic and temporal distribution of MIS-C was compared with that of COVID-19 nationally, by region, and level of urbanicity by county. Clinical and laboratory findings and changes over time were described by age group and by presence or absence of preceding COVID-19. RESULTS: A total of 1733 patients with MIS-C were identified; 994 (57.6%) were male and 1117 (71.3%) were Hispanic or non-Hispanic Black. Gastrointestinal symptoms, rash, and conjunctival hyperemia were reported by 53% (n = 931) to 67% (n = 1153) of patients. A total of 937 patients (54%) had hypotension or shock, and 1009 (58.2%) were admitted for intensive care. Cardiac dysfunction was reported in 484 patients (31.0%), pericardial effusion in 365 (23.4%), myocarditis in 300 (17.3%), and coronary artery dilatation or aneurysms in 258 (16.5%). Patients aged 0 to 4 years had the lowest proportion of severe manifestations, although 171 patients (38.4%) had hypotension or shock and 197 (44.3%) were admitted for intensive care. Patients aged 18 to 20 years had the highest proportions with myocarditis (17 [30.9%]), pneumonia (20 [36.4%]), acute respiratory distress syndrome (10 [18.2%]), and polymerase chain reaction positivity (39 [70.9%]). These older adolescents also had the highest proportion reporting preceding COVID-19-like illness (63%). Nationally, the first 2 MIS-C peaks followed the COVID-19 peaks by 2 to 5 weeks. The cumulative MIS-C incidence per 100 000 persons younger than 21 years was 2.1 and varied from 0.2 to 6.3 by state. Twenty-four patients (1.4%) died. CONCLUSIONS AND RELEVANCE: In this cross-sectional study of a large cohort of patients with MIS-C, 2 peaks that followed COVID-19 peaks by 2 to 5 weeks were identified. The geographic and temporal association of MIS-C with the COVID-19 pandemic suggested that MIS-C resulted from delayed immunologic responses to SARS-CoV-2 infection. The clinical manifestations varied by age and by presence or absence of preceding COVID-19.

Many US federal agencies apply principles from risk communication science across a wide variety of hazards. In so doing, they identify key research and practice gaps that, if addressed, could help better serve the nation's communities and greatly enhance practice, research, and policy development.

Arsenic from geologic sources is widespread in groundwater within the United States (U.S.). In several areas, groundwater arsenic concentrations exceed the U.S. Environmental Protection Agency maximum contaminant level of 10 μg per liter (μg/L). However, this standard applies only to public-supply drinking water and not to private-supply, which is not federally regulated and is rarely monitored. As a result, arsenic exposure from private wells is a potentially substantial, but largely hidden, public health concern. Machine learning models using boosted regression trees (BRT) and random forest classification (RFC) techniques were developed to estimate probabilities and concentration ranges of arsenic in private wells throughout the conterminous U.S. Three BRT models were fit separately to estimate the probability of private well arsenic concentrations exceeding 1, 5, or 10 μg/L whereas the RFC model estimates the most probable category (≤5, >5 to ≤10, or >10 μg/L). Overall, the models perform best at identifying areas with low concentrations of arsenic in private wells. The BRT 10 μg/L model estimates for testing data have an overall accuracy of 91.2%, sensitivity of 33.9%, and specificity of 98.2%. Influential variables identified across all models included average annual precipitation and soil geochemistry. Models were developed in collaboration with public health experts to support U.S.-based studies focused on health effects from arsenic exposure.

Listeria monocytogenes serotype 7 lacks glycosidic constituents in wall teichoic acids. Here, we present the complete genome sequence of L. monocytogenes serotype 7 strain FSL R9-0915 and an analysis of genes known to affect L. monocytogenes antigenicity. This strain is used as a control strain in Listeria phage host range analyses.

Household air pollution (HAP) due to solid fuel use during pregnancy is associated with adverse birth outcomes. The real-life effectiveness of clean cooking interventions has been disappointing overall yet variable, but the sociodemographic determinants are not well described. We measured personal 24-h PM(2.5) (particulate matter <2.5 µm in aerodynamic diameter) thrice in pregnant women (n = 218) gravimetrically with Teflon filter, impactor, and personal pump setups. To estimate the effectiveness of owning chimney and liquefied petroleum gas (LPG) stoves (i.e., proportion of PM(2.5) exposure that would be prevented) and to predict subject-specific typical exposures, we used linear mixed-effects models with log (PM(2.5)) as dependent variable and random intercept for subject. Median (IQR) personal PM(2.5) in µg/m(3) was 148 (90-249) for open fire, 78 (51-125) for chimney stove, and 55 (34-79) for LPG stoves. Adjusted effectiveness of LPG stoves was greater in women with ≥6 years of education (49% (95% CI: 34, 60)) versus <6 years (26% (95% CI: 5, 42)). In contrast, chimney stove adjusted effectiveness was greater in women with <6 years of education (50% (95% CI: 38, 60)), rural residence (46% (95% CI: 34, 55)) and lowest SES (socio-economic status) quartile (59% (95% CI: 45, 70)) than ≥6 years education (16% (95% CI: 22, 43)), urban (23% (95% CI: -164, 42)) and highest SES quartile (-44% (95% CI: -183, 27)), respectively. A minority of LPG stove owners (12%) and no chimney owner had typical exposure below World Health Organization Air Quality guidelines (35 μg/m(3)). Although having a cleaner stove alone typically does not lower exposure enough to protect health, understanding sociodemographic determinants of effectiveness may lead to better targeting, implementation, and adoption of interventions.

Coronavirus disease 2019 (COVID-19), the respiratory disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first identified in Wuhan, China and has since become pandemic. In response to the first cases identified in the United States, close contacts of confirmed COVID-19 cases were investigated to enable early identification and isolation of additional cases and to learn more about risk factors for transmission. Close contacts of nine early travel-related cases in the United States were identified and monitored daily for development of symptoms (active monitoring). Selected close contacts (including those with exposures categorized as higher risk) were targeted for collection of additional exposure information and respiratory samples. Respiratory samples were tested for SARS-CoV-2 by real-time reverse transcription polymerase chain reaction at the Centers for Disease Control and Prevention. Four hundred four close contacts were actively monitored in the jurisdictions that managed the travel-related cases. Three hundred thirty-eight of the 404 close contacts provided at least basic exposure information, of whom 159 close contacts had ≥1 set of respiratory samples collected and tested. Across all actively monitored close contacts, two additional symptomatic COVID-19 cases (i.e., secondary cases) were identified; both secondary cases were in spouses of travel-associated case patients. When considering only household members, all of whom had ≥1 respiratory sample tested for SARS-CoV-2, the secondary attack rate (i.e., the number of secondary cases as a proportion of total close contacts) was 13% (95% CI: 4-38%). The results from these contact tracing investigations suggest that household members, especially significant others, of COVID-19 cases are at highest risk of becoming infected. The importance of personal protective equipment for healthcare workers is also underlined. Isolation of persons with COVID-19, in combination with quarantine of exposed close contacts and practice of everyday preventive behaviors, is important to mitigate spread of COVID-19.

Coronavirus disease 2019 (COVID-19) has been reported nationwide among meat processing facility workers (1). In late April 2020, through flyers and text messages, workers at a Nebraska meat processing facility were invited by the facility, in partnership with the Nebraska Department of Health and Human Services, to be tested for current SARS-CoV-2, the virus that causes COVID-19, at their worksite, free of charge. Specimens were analyzed using reverse transcription–polymerase chain reaction (RT-PCR) by a contracting laboratory. This investigation was determined by CDC to be public health surveillance.* Among 1,216 Nebraska-resident meat processing facility workers tested, 375 (31%) had positive results. During May 8–25, case investigators attempted to interview the 349 workers who had positive test results and available phone numbers; five refused, 99 were not reached after five attempts, and four did not report symptom status, leaving 241 (69%) of the attempted interviews for analysis.

The COVID-19 pandemic, caused by SARS-CoV-2, have surpassed 5 million cases globally. Current models suggest that low- and middle-income countries (LMICs) will have a similar incidence but substantially lower mortality rate than high-income countries. However, malaria and neglected tropical diseases (NTDs) are prevalent in LMICs, and coinfections are likely. Both malaria and parasitic NTDs can alter immunologic responses to other infectious agents. Malaria can induce a cytokine storm and pro-coagulant state similar to that seen in severe COVID-19. Consequently, coinfections with malaria parasites and SARS-CoV-2 could result in substantially worse outcomes than mono-infections with either pathogen, and could shift the age pattern of severe COVID-19 to younger age-groups. Enhancing surveillance platforms could provide signals that indicate whether malaria, NTDs, and COVID-19 are syndemics (synergistic epidemics). Based on the prevalence of malaria and NTDs in specific localities, efforts to characterize COVID-19 in LMICs could be expanded by adding testing for malaria and NTDs. Such additional testing would allow the determination of the rates of coinfection and comparison of severity of outcomes by infection status, greatly improving the understanding of the epidemiology of COVID-19 in LMICs and potentially helping to mitigate its impact.