Habitat loss and forest fragmentation are often linked to increased pathogen transmission, but the extent to which habitat isolation and landscape connectivity affect disease dynamics through movement of disease vectors and reservoir hosts has not been well examined. Tick-borne diseases are the most prevalent vector-borne diseases in the United States and on the West Coast, Ixodes pacificus is one of the most epidemiologically important vectors. We investigated the impacts of habitat fragmentation on pathogens transmitted by I. pacificus and sought to disentangle the effects of wildlife communities and landscape metrics predictive of pathogen diversity, prevalence and distribution. We collected pathogen data for four co-occurring bacteria transmitted by I. pacificus and measured wildlife parameters. We also used spatial data and cost-distance analysis integrating expert opinions to assess landscape metrics of habitat fragmentation. We found that landscape metrics were significant predictors of tick density and pathogen prevalence. However, wildlife variables were essential when predicting the prevalence and distribution of pathogens reliant on wildlife reservoir hosts for maintenance. We found that landscape structure was an informative predictor of tick-borne pathogen richness in an urban matrix. Our work highlights the implications of large-scale land management on human disease risk.

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that develops during childhood and can last into adulthood. Data from the National Center for Health Statistics Rapid Surveys System collected during October-November 2023 were used to estimate the prevalence of ADHD diagnosis and treatment among U.S. adults. In 2023, an estimated 15.5 million U.S. adults (6.0%) had a current ADHD diagnosis based on self-report; approximately one half received the diagnosis at age ≥18 years. Approximately one third of adults with ADHD took a stimulant medication to treat their ADHD in the previous year, 71.5% of whom had difficulty getting their ADHD prescription filled because it was unavailable. Approximately one half of adults with ADHD have ever used telehealth for ADHD-related services. Telehealth might have benefits for persons with ADHD, including helping them access behavioral treatment or medication prescriptions for ADHD. This report provides national estimates of the prevalence and treatment of ADHD among U.S. adults to help guide clinical care and regulatory decision-making for ADHD among U.S. adults.

The global COVID-19 response focused heavily on nonpharmaceutical interventions (NPIs) until vaccines became available. Even where vaccination coverage is low, over time governments have become increasingly reluctant to use NPIs. Inequities in vaccine and treatment accessibility and coverage, differences in vaccine effectiveness, waning immunity, and immune-escape variants of concern of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinforce the long-term need for mitigation. Initially, the concept of NPIs, and mitigation more broadly, was focused on prevention of SARS-CoV-2 transmission; however, mitigation can and has done more than prevent transmission. It has been used to address the clinical dimensions of the pandemic as well. The authors propose an expanded conceptualization of mitigation that encompasses a continuum of community and clinical mitigation measures that can help reduce infection, illness, and death from COVID-19. It can further help governments balance these efforts and address the disruptions in essential health services, increased violence, adverse mental health outcomes, and orphanhood precipitated by the pandemic and by NPIs themselves. The COVID-19 pandemic response revealed the benefits of a holistic and layered mitigation approach to public health emergencies from the outset. Lessons learned can inform the next phases of the current pandemic response and planning for future public health emergencies.

INTRODUCTION: The gut microbiome is an integral partner in host health and plays a role in immune development, altered nutrition, and pathogen prevention. The mycobiome (fungal microbiome) is considered part of the rare biosphere but is still a critical component in health. Next generation sequencing has improved our understanding of fungi in the gut, but methodological challenges remain. Biases are introduced during DNA isolation, primer design and choice, polymerase selection, sequencing platform selection, and data analyses, as fungal reference databases are often incomplete or contain erroneous sequences. METHODS: Here, we compared the accuracy of taxonomic identifications and abundances from mycobiome analyses which vary among three commonly selected target gene regions (18S, ITS1, or ITS2) and the reference database (UNITE - ITS1, ITS2 and SILVA - 18S). We analyze multiple communities including individual fungal isolates, a mixed mock community created from five common fungal isolates found in weanling piglet feces, a purchased commercial fungal mock community, and piglet fecal samples. In addition, we calculated gene copy numbers for the 18S, ITS1, and ITS2 regions of each of the five isolates from the piglet fecal mock community to determine whether copy number affects abundance estimates. Finally, we determined the abundance of taxa from several iterations of our in-house fecal community to assess the effects of community composition on taxon abundance. RESULTS: Overall, no marker-database combination consistently outperformed the others. Internal transcribed space markers were slightly superior to 18S in the identification of species in tested communities, but Lichtheimia corymbifera, a common member of piglet gut communities, was not amplified by ITS1 and ITS2 primers. Thus, ITS based abundance estimates of taxa in piglet mock communities were skewed while 18S marker profiles were more accurate. Kazachstania slooffiae displayed the most stable copy numbers (83-85) while L. corymbifera displayed significant variability (90-144) across gene regions. DISCUSSION: This study underscores the importance of preliminary studies to assess primer combinations and database choice for the mycobiome sample of interest and raises questions regarding the validity of fungal abundance estimates.

At the onset of the COVID-19 pandemic, protocols for community-based management of acute malnutrition (CMAM) were implemented to support continuity of essential feeding services while mitigating COVID-19 transmission. To assess correlations between adaptation timing and CMAM program indicators, we evaluated routine program data in Uganda, Ethiopia, and Somalia for children 6-59 months of age. We specifically analyzed facility-level changes in total admissions, average length of stay (ALOS), total children screened for admission, and recovery rates before and after adaptations. We found no statistically significant changes in program indicators after adaptations. For Somalia, we also analyzed child-level changes in ALOS and in weight and mid-upper arm circumference at admission and discharge. ALOS significantly increased immediately after adaptations and then decreased to preadaptation levels. We found no meaningful changes in either weight or mid-upper arm circumference at admission or discharge. These findings indicate that adapted CMAM programs can remain effective.

The microbiome is an integral part of chicken health and can affect immunity, nutrient utilization, and performance. The role of bacterial microbiota members in host health is relatively well established, but less attention has been paid to fungal members of the gastrointestinal tract (GIT) community. However, human studies indicate that fungi play a critical role in health. Here, we described fungal communities, or mycobiomes, in both the lumen and mucosa of the chicken ileum and cecum from hatch through 14 days of age. We also assessed the effects of delayed access to feed immediately post-hatch (PH) on mycobiome composition, as PH feed delay is commonly associated with poor health performance. Chicken mycobiomes in each of the populations were distinct and changed over time. All mycobiomes were dominated by Gibberella, but Aspergillus, Cladosporium, Sarocladium, Meyerozyma, and Penicillium were also abundant. Relative abundances of some taxa differed significantly over time. In the cecal and ileal lumens, Penicillium was present in extremely low quantities or absent during days one and two and then increased over time. Meyerozyma and Wickerhamomyces also increased over time in luminal sites. In contrast, several highly abundant unclassified fungi decreased after days one and two, highlighting the need for improved understanding of fungal gut biology. Mycobiomes from chicks fed during the first 2 days PH versus those not fed during the first 2 days did not significantly differ, except during days one and two. Similarities observed among mycobiomes of fed and unfed chicks at later timepoints suggest that delays in PH feeding do not have long lasting effects on mycobiome composition. Together, these results provide a foundation for future mycobiome studies, and suggest that negative health and production impacts of delayed feeding are not likely related to the development of fungal populations in the GIT.

BACKGROUND: West Nile virus (WNV), primarily vectored by mosquitoes of the genus Culex, is the most important mosquito-borne pathogen in North America, having infected thousands of humans and countless wildlife since its arrival in the USA in 1999. In locations with dedicated mosquito control programs, surveillance methods often rely on frequent testing of mosquitoes collected in a network of gravid traps (GTs) and CO(2)-baited light traps (LTs). Traps specifically targeting oviposition-seeking (e.g. GTs) and host-seeking (e.g. LTs) mosquitoes are vulnerable to trap bias, and captured specimens are often damaged, making morphological identification difficult. METHODS: This study leverages an alternative mosquito collection method, the human landing catch (HLC), as a means to compare sampling of potential WNV vectors to traditional trapping methods. Human collectors exposed one limb for 15 min at crepuscular periods (5:00-8:30 am and 6:00-9:30 pm daily, the time when Culex species are most actively host-seeking) at each of 55 study sites in suburban Chicago, Illinois, for two summers (2018 and 2019). RESULTS: A total of 223 human-seeking mosquitoes were caught by HLC, of which 46 (20.6%) were mosquitoes of genus Culex. Of these 46 collected Culex specimens, 34 (73.9%) were Cx. salinarius, a potential WNV vector species not thought to be highly abundant in upper Midwest USA. Per trapping effort, GTs and LTs collected > 7.5-fold the number of individual Culex specimens than HLC efforts. CONCLUSIONS: The less commonly used HLC method provides important insight into the complement of human-biting mosquitoes in a region with consistent WNV epidemics. This study underscores the value of the HLC collection method as a complementary tool for surveillance to aid in WNV vector species characterization. However, given the added risk to the collector, novel mitigation methods or alternative approaches must be explored to incorporate HLC collections safely and strategically into control programs.

The Democratic Republic of the Congo (DRC) has a high measles incidence despite elimination efforts and has yet to introduce rubella vaccine. We evaluated the performance of a prototype rapid digital microfluidics powered (DMF) enzyme-linked immunoassay (ELISA) assessing measles and rubella infection, by testing for immunoglobulin M (IgM), and immunity from natural infection or vaccine, by testing immunoglobulin G (IgG), in outbreak settings. Field evaluations were conducted during September 2017, in Kinshasa province, DRC. Blood specimens were collected during an outbreak investigation of suspected measles cases and tested for measles and rubella IgM and IgG using the DMF-ELISA in the field. Simultaneously, a household serosurvey for measles and rubella IgG was conducted in a recently confirmed measles outbreak area. DMF-ELISA results were compared with reference ELISA results tested at DRC's National Public Health Laboratory and the US Centers for Disease Control and Prevention. Of 157 suspected measles cases, rubella IgM was detected in 54% while measles IgM was detected in 13%. Measles IgG-positive cases were higher among vaccinated persons (87%) than unvaccinated persons (72%). In the recent measles outbreak area, measles IgG seroprevalence was 93% overall, while rubella seroprevalence was lower for children (77%) than women (98%). Compared with reference ELISA, DMF-ELISA sensitivity and specificity were 82% and 78% for measles IgG; 88% and 89% for measles IgM; 85% and 85% for rubella IgG; and 81% and 83% for rubella IgM, respectively. Rubella infection was detected in more than half of persons meeting the suspected measles case definition during a presumed measles outbreak, suggesting substantial unrecognized rubella incidence, and highlighting the need for rubella vaccine introduction into the national schedule. The performance of the DMF-ELISA suggested that this technology can be used to develop rapid diagnostic tests for measles and rubella.

INTRODUCTION Turkey conducted three rounds of the Global Adult Tobacco Survey (GATS) in 2008, 2012, and 2016 to monitor tobacco use and key tobacco control indicators. The prevalence estimate of adult tobacco use was 31.2% in 2008 and it declined to 27.1% in 2012. METHODS GATS is a nationally-representative, cross-sectional household survey of tobacco-use and related behaviors among adults aged 15 years. Outcome measures were prevalence of current tobacco smoking and interest in quitting smoking. Multivariable logistic regression analyses assessed changes in the adjusted prevalence and predictors of the outcome variables. RESULTS The unadjusted prevalence of tobacco smoking among adults was 31.6% in 2016; a significant increase in the adjusted prevalence of 4.5% from 2012 to 2016. A significant 19.4% decline was observed in interest in quitting smoking from 2012 to 2016. Tobacco smoking was lower among women (adjusted prevalence ratio, APR=0.38) and rural residents (APR=0.79), and higher among adults aged 2564 years compared to those aged 1524 years (APR=1.63), and those who lived with other adults who smoke tobacco (APR=1.55). Predictors of increased interest in quitting smoking included rural residence (APR=1.13), higher education level (APR=1.211.36), awareness of anti-tobacco warnings and advertisements (APR=1.30), and belief that smoking causes severe health consequences (APR=1.57). CONCLUSIONS This study identified opportunities to reduce tobacco smoking and increase interest in quitting, including increasing awareness of the health consequences of smoking and of evidence-based cessation resources. This study highlights Turkeys commitment to assessing or monitoring tobacco use and key tobacco indicators to inform their policies and programs in a changing tobacco landscape. 2022 Summers A. D. et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License. (http://creativecommons.org/licenses/by/4.0)

Since the beginning of the COVID-19 pandemic, much research has been conducted globally, but relatively few studies have been carried out in complex emergency settings that pose numerous operational challenges. We conducted a qualitative study to explore the barriers and enablers of a COVID-19 cohort study conducted in South Sudan and Eastern Democratic Republic of the Congo, to inform future research on COVID-19 and infectious diseases in humanitarian settings. We used a case study design embedded within the original prospective cohort study. Qualitative data was collected through four health facility assessments, 28 key informant interviews, and a focus group discussion. Data were analyzed using a manual thematic analysis approach and summarized against four primary themes: testing challenges and enablers, perceptions and attitudes towards COVID-19, national health system considerations, and study management considerations. Findings suggest most of the challenges affecting the cohort study were not specific to COVID-19 research but have been a feature of previous infectious disease research carried out in complex emergencies. However, the pandemic has exacerbated certain problems. The high proportion of travellers enrolled due to testing mandates, stigmatization of infected individuals linked to the heavy global focus on COVID-19, strained resources during waves of increasing infections, and remote management requirements all negatively impacted the cohort study. Factors that facilitated the research included proactive management, data quality oversight procedures, and strong collaboration with national health stakeholders. The global impact of COVID-19, its high public profile, and specific pandemic policies pose further operational challenges for research in already complex humanitarian settings. Future studies could plan mitigation measures that include flexibility in staffing and budgets, strategies to expand testing, and early partnerships with local organizations and health authorities.

INTRODUCTION: Noticing health warnings on cigarette packages has been associated with thinking about quitting. This study examined sociodemographic characteristics associated with awareness of health warnings on cigarette packages and thinking about quitting because of health warning labels among adults who currently smoked tobacco. METHODS: We analyzed data from the 2017 Zambia WHO STEPS survey (STEPwise approach to surveillance) for noncommunicable disease risk factors. Descriptive analyses and logistic regression were performed to assess the association of select sociodemographic characteristics with awareness of health warnings and thinking about quitting because of health warnings. RESULTS: Adults who currently smoked tobacco who were aged 30-44 years, of Chewa ethnicity, or with a formal education, were more likely to be aware of health warnings than those aged 18-29 years (adjusted prevalence ratio, APR=1.26; 95% CI: 1.02-1.54), of Bemba ethnicity (APR=1.43; 95% CI: 1.17-1.74), or with no formal education (APR: 2.61-5.95). Among all adults who currently smoked, those of Chewa ethnicity (APR=1.55; 95% CI: 1.03-2.35), or with a formal education (APR:1.80-4.38), were more likely to report thinking about quitting because of health warnings than those who were of Bemba ethnicity or with less than primary school education level. Women who currently smoked were 49% less likely (APR=0.51; 95% CI: 0.23-0.84) to report thinking about quitting than men. Among a subset of adults who currently smoked who were aware of health warning labels, no sociodemographic characteristics were significantly associated with thinking about quitting in unadjusted or adjusted models. CONCLUSIONS: Sociodemographic characteristics such as sex, ethnicity, and education level were significantly associated with awareness of cigarette health warnings. Among cigarette smokers aware of health warnings, no sociodemographic differences in thinking about quitting were found. Tobacco control campaigns may need to target people of ethnicities with the highest smoking prevalence in the country.

OBJECTIVES: To assess associations between maternal smoking and congenital heart defects (CHDs) in offspring. STUDY DESIGN: We performed a retrospective case-control study using data for cases of CHD (n=8,339) and non-malformed controls (n=11,020) children from all years (1997-2011) of the National Birth Defects Prevention Study. Maternal self-reported smoking one month before through three months after conception was evaluated as a binary (none, any) and categorical (light, medium, heavy) exposure. Multivariable logistic regression was used to estimate adjusted odds ratios (aOR) and 95% confidence intervals. Stratified analyses were performed for septal defects according to maternal age, pre-pregnancy body mass index, and maternal race/ethnicity. RESULTS: Multiple CHDs displayed modest associations with any level of maternal periconceptional smoking independent of potential confounders; the strongest associations were for aggregated septal defects (OR 1.5 [1.3-1.7]), tricuspid atresia (OR 1.7 [1.0-2.7]), and double outlet right ventricle (DORV) (1.5 [1.1-2.1]). TA and DORV also displayed dose-response relationships. Among heavy smokers, the highest odds were again observed for TA (aOR 3.0 [1.5-6.1]) and DORV (aOR 1.5 [1.1-2.2]). Heavy smokers ≥35 years old more frequently had a child with a septal defect when compared with similarly aged non-smokers (aOR 2.3 [1.4-3.9]). CONCLUSIONS: Maternal periconceptional smoking is most strongly associated with septal defects, TA and DORV; the risk for septal defects is modified by maternal age.

INTRODUCTION: Severe COVID-19 illness in adults has been linked to underlying medical conditions. This study identified frequent underlying conditions and their attributable risk of severe COVID-19 illness. METHODS: We used data from more than 800 US hospitals in the Premier Healthcare Database Special COVID-19 Release (PHD-SR) to describe hospitalized patients aged 18 years or older with COVID-19 from March 2020 through March 2021. We used multivariable generalized linear models to estimate adjusted risk of intensive care unit admission, invasive mechanical ventilation, and death associated with frequent conditions and total number of conditions. RESULTS: Among 4,899,447 hospitalized adults in PHD-SR, 540,667 (11.0%) were patients with COVID-19, of whom 94.9% had at least 1 underlying medical condition. Essential hypertension (50.4%), disorders of lipid metabolism (49.4%), and obesity (33.0%) were the most common. The strongest risk factors for death were obesity (adjusted risk ratio [aRR] = 1.30; 95% CI, 1.27-1.33), anxiety and fear-related disorders (aRR = 1.28; 95% CI, 1.25-1.31), and diabetes with complication (aRR = 1.26; 95% CI, 1.24-1.28), as well as the total number of conditions, with aRRs of death ranging from 1.53 (95% CI, 1.41-1.67) for patients with 1 condition to 3.82 (95% CI, 3.45-4.23) for patients with more than 10 conditions (compared with patients with no conditions). CONCLUSION: Certain underlying conditions and the number of conditions were associated with severe COVID-19 illness. Hypertension and disorders of lipid metabolism were the most frequent, whereas obesity, diabetes with complication, and anxiety disorders were the strongest risk factors for severe COVID-19 illness. Careful evaluation and management of underlying conditions among patients with COVID-19 can help stratify risk for severe illness.

Early models predicted substantial COVID-19-associated morbidity and mortality across Africa (1-3). However, as of March 2021, countries in Africa are among those with the lowest reported incidence of COVID-19 worldwide (4). Whether this reflects effective mitigation, outbreak response, or demographic characteristics, (5) or indicates limitations in disease surveillance capacity is unclear (6). As countries implemented changes in funding, national policies, and testing strategies in response to the COVID-19 pandemic, surveillance capacity might have been adversely affected. This study assessed whether changes in surveillance operations affected reporting in South Sudan; testing and case numbers reported during April 6, 2020-February 21, 2021, were analyzed relative to the timing of funding, policy, and strategy changes.* South Sudan, with a population of approximately 11 million, began COVID-19 surveillance in February 2020 and reported 6,931 cases through February 21, 2021. Surveillance data analyzed were from point of entry screening, testing of symptomatic persons who contacted an alert hotline, contact tracing, sentinel surveillance, and outbound travel screening. After travel restrictions were relaxed in early May 2020, international land and air travel resumed and mandatory requirements for negative pretravel test results were initiated. The percentage of all testing accounted for by travel screening increased >300%, from 21.1% to 91.0% during the analysis period, despite yielding the lowest percentage of positive tests among all sources. Although testing of symptomatic persons and contact tracing yielded the highest percentage of COVID-19 cases, the percentage of all testing from these sources decreased 88%, from 52.6% to 6.3% after support for these activities was reduced. Collectively, testing increased over the project period, but shifted toward sources least likely to yield positive results, possibly resulting in underreporting of cases. Policy, funding, and strategy decisions related to the COVID-19 pandemic response, such as those implemented in South Sudan, are important issues to consider when interpreting the epidemiology of COVID-19 outbreaks.

OBJECTIVE: To estimate the annual percentage of women of reproductive age with private insurance or Medicaid who had opioid prescription claims during 2013-2017 and describe trends over time. DESIGN: A secondary analysis of insurance claims data from IBM MarketScan® Commercial and Multi-State Medicaid Databases to assess outpatient pharmacy claims for prescription opioids among women aged 15-44 years during 2013-2017. PARTICIPANTS: Annual cohorts of 3.5-3.8 million women aged 15-44 years with private insurance and 0.9-2.1 million women enrolled in Medicaid. MAIN OUTCOME MEASURE: The percentage of women aged 15-44 years with outpatient pharmacy claims for opioid prescriptions. RESULTS: During 2013-2017, the proportion of women aged 15-44 years with private insurance who had claims for opioid prescriptions decreased by 22.1 percent, and among women enrolled in Medicaid, the proportion decreased by 31.5 -percent. CONCLUSIONS: Opioid prescription claims decreased from 2013 to 2017 among insured women of reproductive age. However, opioid prescription claims remained common and were more common among women enrolled in Medicaid than those with private insurance; additional strategies to improve awareness of the risks associated with opioid prescribing may be needed.

BACKGROUND: Some studies have reported associations between prenatal use of venlafaxine, a serotonin-norepinephrine reuptake inhibitor used for depressive and anxiety disorders, and some birth defects. We described the prevalence of venlafaxine prescription claims among privately insured women of reproductive age and pregnant women. METHODS: Venlafaxine prescription claims were examined using the IBM MarketScan Commercial Databases. We included women of reproductive age (15-44 years) who had ≤45 days of lapsed enrollment during the calendar year of interest (2011-2016) in a non-capitated healthcare plan sponsored by a large, self-insured employer with prescription drug coverage and no mental health service carve-out. Annual cohorts of pregnant women were identified among eligible women of reproductive age via pregnancy diagnosis and procedure codes. Venlafaxine prescriptions were identified via National Drug Codes in outpatient pharmacy claims and we estimated the annual proportion of women with venlafaxine claims by pregnancy trimester (pregnant women only), age, and Census division. RESULTS: Each year during 2011-2016, approximately 1.2% of eligible reproductive-aged and 0.3% of eligible pregnant women filled a venlafaxine prescription. Among pregnant women, the proportion with venlafaxine claims was highest during the first trimester and decreased during the second and third trimesters. Small temporal increases in venlafaxine claims were observed for reproductive-aged and pregnant women, with the largest among women aged 15-19 years. CONCLUSIONS: Venlafaxine prescription claims were low among women of reproductive age and pregnant women during 2011-2016, with some increasing use over time among women aged 15-19 years.

BACKGROUND: Older adults and people from certain racial and ethnic groups are disproportionately represented in coronavirus disease 2019 (COVID-19) hospitalizations and deaths. METHODS: Using data from the Premier Healthcare Database on 181( )813 hospitalized adults diagnosed with COVID-19 during March-September 2020, we applied multivariable log-binomial regression to assess the associations between age and race/ethnicity and COVID-19 clinical severity (intensive care unit [ICU] admission, invasive mechanical ventilation [IMV], and death) and to determine whether the impact of age on clinical severity differs by race/ethnicity. RESULTS: Overall, 84( )497 (47%) patients were admitted to the ICU, 29( )078 (16%) received IMV, and 27( )864 (15%) died in the hospital. Increased age was strongly associated with clinical severity when controlling for underlying medical conditions and other covariates; the strength of this association differed by race/ethnicity. Compared with non-Hispanic White patients, risk of death was lower among non-Hispanic Black patients (adjusted risk ratio, 0.96; 95% CI, 0.92-0.99) and higher among Hispanic/Latino patients (risk ratio [RR], 1.15; 95% CI, 1.09-1.20), non-Hispanic Asian patients (RR, 1.16; 95% CI, 1.09-1.23), and patients of other racial and ethnic groups (RR, 1.13; 95% CI, 1.06-1.21). Risk of ICU admission and risk of IMV were elevated among some racial and ethnic groups. CONCLUSIONS: These results indicate that age is a driver of poor outcomes among hospitalized persons with COVID-19. Additionally, clinical severity may be elevated among patients of some racial and ethnic minority groups. Public health strategies to reduce severe acute respiratory syndrome coronavirus 2 infection rates among older adults and racial and ethnic minorities are essential to reduce poor outcomes.

BACKGROUND: There is limited research on noncommunicable diseases (NCDs) in humanitarian settings despite the overall global burden and disproportionate growth in many conflicts and disaster-prone settings. This study aimed to determine the prevalence of NCDs and assess the perceived effect of conflict on NCD severity and access to treatment among conflict-affected adults (>/= 30 years) in Ukraine. METHODS AND FINDINGS: We conducted two population-representative, stratified, cross-sectional household surveys: one among adult internally displaced people (IDPs) throughout Ukraine and one among adults living in Donbas in eastern Ukraine. One randomly selected adult per household answered questions about their demographics, height and weight, diagnosed NCDs, access to medications and healthcare since the conflict began, as well as questions assessing psychological distress, trauma exposure, and posttraumatic stress disorder. More than half of participants reported having at least one NCD (55.7% Donbas; 59.8% IDPs) A higher proportion of IDPs compared to adults in Donbas experienced serious psychological distress (29.9% vs. 18.7%), interruptions in care (9.7-14.3% vs. 23.1-51.3%), and interruptions in medication than adults in Donbas (14.9-45.6% vs. 30.2-77.5%). Factors associated with perceived worsening of disease included psychological distress (p: 0.002-0.043), displacement status (IDP vs. Donbas) (p: <0.001-0.011), interruptions in medication (p: 0.002-0.004), and inability to see a doctor at some point since the start of the conflict (p: <0.001-0.008). CONCLUSIONS: Our study found a high burden of NCDs among two conflict-affected populations in Ukraine and identified obstacles to accessing care and medication. Psychological distress, interruptions to care, and interruptions in medication were all reported by a higher proportion of IDPs than adults in Donbas. There is a need for targeted policies and programs to support the unique needs of displaced conflict-affected individuals in Ukraine that address the economic and perceived barriers to NCD treatment and care.

Background: Newborn mortality is increasingly concentrated in contexts of conflict and political instability. However, there are limited guidelines and data on the availability and quality of newborn care in conflict settings. In 2016, an interagency collaboration developed the Newborn Health in Humanitarian Settings Field Guide- Interim version (Field Guide). In this study, we sought to understand the baseline availability and quality of essential newborn care in Bossaso, Somalia as part of an investigation to determine the feasibility and effectiveness of the Field Guide in improving newborn care in humanitarian settings. Methods: A cross-sectional study was conducted at four purposely selected health facilities serving internally displaced persons affected by conflict in Bossaso. Essential newborn care practice and patient experience with childbirth care received at the facilities were assessed via observation of clinical practice during childbirth and the immediate postnatal period, and through postnatal interviews of mothers. Descriptive statistics and logistic regression were employed to summarize and examine variation by health facility. Results: Of the 332 pregnant women approached, 253 (76.2%) consented and were enrolled. 97.2% (95% CI: 94.4, 98.9) had livebirths and 2.8% (95% CI: 1.1, 5.6) had stillbirths. The early newborn mortality was 1.7% (95% CI: 0.3, 4.8). Nearly all [95.7%, (95% CI: 92.4, 97.8)] births were attended by skilled health worker. Similarly, 98.0% (95% CI: 95.3, 99.3) of newborns received immediate drying, and 99.2% (95% CI: 97.1, 99.9) had delayed bathing. Few [8.6%, (95% CI: 5.4, 12.9)] received immediate skin-to-skin contact and the practice varied significantly by facility (p < 0.001). One-third of newborns [30.1%, (95% CI: 24.4, 36.2)] received early initiation of breastfeeding and there was significant variation by facility (p < 0.001). While almost all [99.2%, (95% CI: 97.2, 100)] service providers wore gloves while attending births, handwashing was not as common [20.2%, (95% CI: 15.4, 25.6)] and varied by facility (p < 0.001). Nearly all [92%, (95% CI: 86.9, 95.5)] mothers were either very happy or happy with the childbirth care received at the facility. Conclusion: Essential newborn care interventions were not universally available. Quality of care varied by health facility and type of intervention. Training and supervision using the Field Guide could improve newborn outcomes.

Background: Older persons are often unable to leave conflict areas; however, little is known about the mental and physical health among this population. Our objective was to determine the prevalence of and whether there was an association between psychological distress and disability among older persons affected by conflict in eastern Ukraine. Methods: We conducted a cluster-randomized cross-sectional household survey of persons aged >/=60 years in government and non-government controlled areas (GCA and NGCA) of Donetsk and Luhansk regions in January-March 2016. Psychological distress and dependency (degree of disability) were measured using the Kessler K6 Psychological Distress Scale and Katz Index of Independence in Activities of Daily Living, respectively. Association between psychological distress and dependency was assessed using logistic regression adjusting for demographic and socioeconomic characteristics. Results: Final sample included 758 and 418 persons in GCA and NGCA, respectively. Prevalence of serious psychological distress was 33.6% (95% Confidence Interval (CI), 28.0-39.7%) in GCA and 42.5% (95%CI, 36.1-49.2%) in NGCA. Overall, 32.2% (95%CI, 27.9-36.7%) of independent persons and 74.0% (95%CI, 65.2-81.2%) of moderately/severely dependent persons reported serious psychological distress (P < .0001). Being dependent, a woman, and having a chronic disease were all significantly associated with psychological distress in a logistic regression model. Conclusions: Prevalence of serious psychological distress was very high compared with rates reported from developed countries and was highly associated with disability. Health services for the disabled, including psychological as well as physical support, could help in reducing the proportion of people needing mental health services not normally identified.

Serosurveys are useful for assessing population susceptibility to vaccine-preventable disease outbreaks. Although at-risk populations in remote areas could benefit from this type of information, they face several logistical barriers to implementation, such as lack of access to centralized laboratories, cold storage, and transport of samples. We describe a potential solution: a compact and portable, field-deployable, point-of-care system relying on digital microfluidics that can rapidly test a small volume of capillary blood for disease-specific antibodies. This system uses inexpensive, inkjet-printed digital microfluidic cartridges together with an integrated instrument to perform enzyme-linked immunosorbent assays (ELISAs). We performed a field validation of the system's analytical performance at Kakuma refugee camp, a remote setting in northwestern Kenya, where we tested children aged 9 to 59 months and caregivers for measles and rubella immunoglobulin G (IgG). The IgG assays were determined to have sensitivities of 86% [95% confidence interval (CI), 79 to 91% (measles)] and 81% [95% CI, 73 to 88% (rubella)] and specificities of 80% [95% CI, 49 to 94% (measles)] and 91% [95% CI, 76 to 97% (rubella)] (measles, n = 140; rubella, n = 135) compared with reference tests (measles IgG and rubella IgG ELISAs from Siemens Enzygnost) conducted in a centralized laboratory. These results demonstrate a potential role for this point-of-care system in global serological surveillance, particularly in remote areas with limited access to centralized laboratories.

Holoprosencephaly (HPE) is a major structural birth defect of the brain that occurs in approximately 1 in 10,000 live births. Although some genetic causes of HPE are known, a substantial proportion of cases have an unknown etiology. Due to the low birth prevalence and rarity of exposure to many potential risk factors for HPE, few epidemiologic studies have had sufficient sample size to examine risk factors. A 2010 review of the literature identified several risk factors that had been consistently identified as occurring more frequently among cases of HPE, including maternal diabetes, twinning, and a predominance of females, while also identifying a number of potential risk factors that had been less widely studied. In this article, we summarize a systematic literature review conducted to update the evidence for nongenetic risk factors for HPE.

Violence in the Rakhine State of Myanmar, which began on August 25, 2017, prompted mass displacement of Rohingya to the bordering district of Cox’s Bazar, Bangladesh. Joining the nearly 213,000 Rohingya already in the region, an estimated 45,000 persons settled in two preexisting refugee camps, Nayapara and Kutupalong, and nearly 550,000 into new makeshift settlements (1). Mass violence and displacement, accompanied by malnutrition, overcrowding, poor hygiene, and lack of access to safe water and health care increase the vulnerability of children to infectious diseases, including pneumonia and diarrhea (2).

Urinary tract infections (UTIs) occur in about 8% of pregnant women, and untreated UTIs can have serious consequences, including pyelonephritis, preterm labor, low birth weight, and sepsis (1). Pregnant women are typically screened for UTIs during early pregnancy, and those with bacteriuria are treated with antibiotics (1,2). Antibiotic stewardship is critical to improving patient safety and to combating antibiotic resistance. Because of the potential risk for birth defects, including anencephaly, heart defects, and orofacial clefts, associated with use of sulfonamides and nitrofurantoin during pregnancy (3), a 2011 committee opinion from the American College of Obstetricians and Gynecologists (ACOG) recommended that sulfonamides and nitrofurantoin may be prescribed in the first trimester of pregnancy only when other antimicrobial therapies are deemed clinically inappropriate (4). To assess the effects of these recommendations, CDC analyzed the Truven Health MarketScan Commercial Database* to examine antibiotic prescriptions filled by pregnant women with UTIs. Among 482,917 pregnancies in 2014, 7.2% of women had an outpatient UTI diagnosis during the 90 days before the date of last menstrual period (LMP) or during pregnancy. Among pregnant women with UTIs, the most frequently prescribed antibiotics during the first trimester were nitrofurantoin, ciprofloxacin, cephalexin, and trimethoprim-sulfamethoxazole. Given the potential risks associated with use of some of these antibiotics in early pregnancy and the potential for unrecognized pregnancy, women's health care providers should be familiar with the ACOG recommendations and consider the possibility of early pregnancy when treating women of reproductive age.

OBJECTIVE: To determine current status, areas for improvement and effect of conflict on infant and young child feeding (IYCF) practices among internally displaced persons (IDP) in eastern Ukraine. DESIGN: Cross-sectional household survey, June 2015. SETTING: Kharkiv, Dnipropetrovsk and Zaporizhia oblasts (Ukrainian administrative divisions) bordering conflict area in Ukraine. SUBJECTS: Randomly selected IDP households with children aged <2 years registered with local non-governmental organizations. Questions based on the WHO IYCF assessment questionnaire were asked for 477 children. Mid-upper arm circumference was measured in 411 children aged 6-23 months. RESULTS: Exclusive breast-feeding prevalence for infants aged <6 months was 25.8 (95 % CI 15.8, 38.0) %. Percentage of mothers continuing breast-feeding when their child was aged 1 and 2 years was 53.5 (95 % CI 43.2, 63.6) % and 20.6 (95 % CI 11.5, 32.7) %, respectively. Bottle-feeding was common for children aged <2 years (68.1 %; 95 % CI 63.7, 72.3 %). Almost all infants aged 6-8 months received solid foods (98.6 %; 95 % CI 88.5, 99.9 %). Mothers who discontinued breast-feeding before their infant was 6 months old more often listed stress related to conflict as their primary reason for discontinuation (45.7 %) compared with mothers who discontinued breast-feeding when their child was aged 6-23 months (14.3 %; P<0.0001). CONCLUSIONS: To mitigate the effects of conflict and improve child health, humanitarian action is needed focused on helping mothers cope with stress related to conflict and displacement while supporting women to adhere to recommended IYCF practices if possible and providing appropriate support to women when adherence is not feasible.

Coccidioidomycosis (also called Valley fever) is caused by a soilborne fungus, Coccidioides spp., in arid regions of the southwestern United States. Though some who develop infections from this fungus remain asymptomatic, others develop respiratory disease as a consequence. Less commonly, severe illness and death can occur when the infection spreads to other regions of the body. Previous analyses have attempted to connect the incidence of coccidioidomycosis to broadly available climatic measurements, such as precipitation or temperature. However, with the limited availability of long-term, in situ soil moisture data sets, it has not been feasible to perform a direct analysis of the relationships between soil moisture levels and coccidioidomycosis incidence on a larger temporal and spatial scale. Utilizing in situ soil moisture gauges throughout the southwest from the U.S. Climate Reference Network and a model with which to extend those estimates, this work connects periods of higher and lower soil moisture in Arizona and California between 2002 and 2014 to the reported incidence of coccidioidomycosis. The results indicate that in both states, coccidioidomycosis incidence is related to soil moisture levels from previous summers and falls. Stated differently, a higher number of coccidioidomycosis cases are likely to be reported if previous bands of months have been atypically wet or dry, depending on the location.

A retrospective analysis was conducted of human cases and outbreaks of tularemia in the Republic of Armenia from 1996 to 2012 utilizing Geographic Information System software. A total of 266 human cases of tularemia were recorded in Armenia from 1996 to 2012, with yearly incidence ranging from 0 to 5.5 cases per 100,000 people. Cases predominantly affected the male population (62.8%), 11-20 year age group (37.2%), agricultural workers (49.6%), and persons residing in rural areas (93.6%). In 2003, a waterborne outbreak involving 158 cases occurred in Kotayk Marz, and in 2007, a foodborne outbreak with 17 cases occurred in Gegharkunik Marz, attributed to exposure of food products to contaminated hay. Geospatial analysis of all cases showed that the majority were associated with the steppe vegetation zone, elevations between 1,400 and 2,300 m, and the climate zone associated with dry, warm summers, and cold winters. Characterization of these environmental factors were used to develop a predictive risk model to improve surveillance and outbreak response for tularemia in Armenia.

The first cases of Ebola virus disease (Ebola) in West Africa were identified in Guinea on March 22, 2014. On March 30, the first Liberian case was identified in Foya Town, Lofa County, near the Guinean border. Because the majority of early cases occurred in Lofa and Montserrado counties, resources were concentrated in these counties during the first several months of the response, and these counties have seen signs of successful disease control. By October 2014, the epidemic had reached all 15 counties of Liberia. During August 27-September 10, 2014, CDC in collaboration with the Liberian Ministry of Health and Social Welfare assessed county Ebola response plans in four rural counties (Grand Cape Mount, Grand Bassa, Rivercess, and Sinoe, to identify county-specific challenges in executing their Ebola response plans, and to provide recommendations and training to enhance control efforts. Assessments were conducted through interviews with county health teams and health care providers and visits to health care facilities. At the time of assessment, county health teams reported lacking adequate training in core Ebola response strategies and reported facing many challenges because of poor transportation and communication networks. Development of communication and transportation network strategies for communities with limited access to roads and limited means of communication in addition to adequate training in Ebola response strategies is critical for successful management of Ebola in remote areas.

BACKGROUND: Knowing the national disease burden of severe influenza in low-income countries can inform policy decisions around influenza treatment and prevention. We present a novel methodology using locally generated data for estimating this burden. METHODS AND FINDINGS: This method begins with calculating the hospitalized severe acute respiratory illness (SARI) incidence for children <5 years old and persons >=5 years old from population-based surveillance in one province. This base rate of SARI is then adjusted for each province based on the prevalence of risk factors and healthcare-seeking behavior. The percentage of SARI with influenza virus detected is determined from provincial-level sentinel surveillance and applied to the adjusted provincial rates of hospitalized SARI. Healthcare-seeking data from healthcare utilization surveys is used to estimate non-hospitalized influenza-associated SARI. Rates of hospitalized and non-hospitalized influenza-associated SARI are applied to census data to calculate the national number of cases. The method was field-tested in Kenya, and validated in Guatemala, using data from August 2009-July 2011. In Kenya (2009 population 38.6 million persons), the annual number of hospitalized influenza-associated SARI cases ranged from 17,129-27,659 for children <5 years old (2.9-4.7 per 1,000 persons) and 6,882-7,836 for persons >=5 years old (0.21-0.24 per 1,000 persons), depending on year and base rate used. In Guatemala (2011 population 14.7 million persons), the annual number of hospitalized cases of influenza-associated pneumonia ranged from 1,065-2,259 (0.5-1.0 per 1,000 persons) among children <5 years old and 779-2,252 cases (0.1-0.2 per 1,000 persons) for persons >=5 years old, depending on year and base rate used. In both countries, the number of non-hospitalized influenza-associated cases was several-fold higher than the hospitalized cases. CONCLUSIONS: Influenza virus was associated with a substantial amount of severe disease in Kenya and Guatemala. This method can be performed in most low and lower-middle income countries.

OBJECTIVES: In 2007, a localized outbreak of tularemia occurred among visitors to a lodge on the western side of Utah Lake, Utah. We assessed risk factors for disease and attempted to identify undiagnosed clinically compatible illnesses. METHODS: We conducted a retrospective cohort study by recruiting all people who had visited the lodge on the western side of Utah Lake from June 3 to July 28, 2007. A self-administered questionnaire was distributed to a sub-cohort of people who were part of an organized group that had at least one tularemia patient. Questions assessed risk and protective factors and disease symptoms. RESULTS: During the outbreak period, 14 cases of tularemia were reported from five of Utah's 12 health districts. The weekly attack rate ranged from 0 to 2.1/100 lodge visitors from June 3 to July 28. Illness onset dates ranged from June 15 to July 8. The median delay between onset of symptoms and laboratory test for tularemia was 14 days (range: 7-34 days). Cohort study respondents who reported deer-fly bites while at the lodge (adjusted risk ratio [ARR] = 7.2, 95% confidence interval [CI] 2.4, 22.0) and who reported having worn a hat (ARR = 5.6, 95% CI 1.3, 24.6) were more likely to become ill. CONCLUSIONS: This was Utah's second documented deer-fly-associated human tularemia outbreak. People participating in outdoor activities in endemic areas should be aware of disease risks and take precautions. Educational campaigns can aid in earlier disease recognition, reporting, and, consequently, outbreak detection.