On May 5, 2021, the Colorado Department of Public Health and Environment (CDPHE) identified the first five COVID-19 cases caused by the SARS-CoV-2 B.1.617.2 (Delta) variant in Mesa County in western Colorado (population 154,933, <3% of the state population). All five initial cases were associated with school settings. Through early June, Mesa County experienced a marked increase in the proportion of Delta variant cases identified through sequencing: the 7-day proportion of sequenced specimens identified as B.1.617.2 in Mesa County more than doubled, from 43% for the week ending May 1 to 88% for the week ending June 5. As of June 6, more than one half (51%) of sequenced B.1.617.2 specimens in Colorado were from Mesa County. CDPHE assessed data from surveillance, vaccination, laboratory, and hospital sources to describe the preliminary epidemiology of the Delta variant and calculate crude vaccine effectiveness (VE). Vaccination coverage in early May in Mesa County was lower (36% of eligible residents fully vaccinated) than that in the rest of the state (44%). Compared with that in all other Colorado counties, incidence, intensive care unit (ICU) admissions, and COVID-19 case fatality ratios were significantly higher in Mesa County during the analysis period, April 27-June 6, 2021. In addition, during the same time period, the proportion of COVID-19 cases in persons who were fully vaccinated (vaccine breakthrough cases) was significantly higher in Mesa County compared with that in all other Colorado counties. Estimated crude VE against reported symptomatic infection for a 2-week period ending June 5 was 78% (95% confidence interval [CI] = 71%-84%) for Mesa County and 89% (95% CI = 88%-91%) for other Colorado counties. Vaccination is a critical strategy for preventing infection, serious illness, and death from COVID-19. Enhanced mitigation strategies, including masking in indoor settings irrespective of vaccination status, should be considered in areas with substantial or high case rates.

In late January 2021, a clinical laboratory notified the Maryland Department of Health (MDH) that the SARS-CoV-2 variant of concern B.1.351 had been identified in a specimen collected from a Maryland resident with COVID-19 (1). The SARS-CoV-2 B.1.351 lineage was first identified in South Africa (2) and might be neutralized less effectively by antibodies produced after vaccination or natural infection with other strains (3-6). To limit SARS-CoV-2 chains of transmission associated with this index patient, MDH used contact tracing to identify the source of infection and any linked infections among other persons. The investigation identified two linked clusters of SARS-CoV-2 infection that included 17 patients. Three additional specimens from these clusters were sequenced; all three had the B.1.351 variant and all sequences were closely related to the sequence from the index patient's specimen. Among the 17 patients identified, none reported recent international travel or contact with international travelers. Two patients, including the index patient, had received the first of a 2-dose COVID-19 vaccination series in the 2 weeks before their likely exposure; one additional patient had a confirmed SARS-CoV-2 infection 5 months before exposure. Two patients were hospitalized with COVID-19, and one died. These first identified linked clusters of B.1.351 infections in the United States with no apparent link to international travel highlight the importance of expanding the scope and volume of genetic surveillance programs to identify variants, completing contact investigations for SARS-CoV-2 infections, and using universal prevention strategies, including vaccination, masking, and physical distancing, to control the spread of variants of concern.

BACKGROUND: In early 2015, a patient from a cluster of cases of Ebola Virus Disease (EVD) in Monrovia, Liberia traveled to a rural village in Margibi County, potentially exposing numerous persons. The patient died in the village and post-mortem testing confirmed Ebola Virus infection. Problem The Margibi County Health Team (CHT; Kakata, Margibi, Liberia) needed to prevent further transmission of EVD within and outside of the affected villages, and they needed to better understand the factors that support or impede compliance with measures to stop the spread of EVD. METHODS: In February-March 2015, the Margibi CHT instituted a 21-day quarantine and active monitoring for two villages where the patient had contact with numerous residents, and a 21-day active monitoring for five other villages where the patient had possible contact with an unknown number of persons. One contact developed EVD and quarantine was extended an additional 12 days in one village. In April 2015, the Margibi CHT conducted a household-based EVD knowledge, attitudes, and practices (KAP) survey of the seven villages. From April 24-29, 2015, interview teams approached every household in the seven villages and collected information on demographics, knowledge of EVD, attitudes about quarantine to prevent the spread of EVD, and their quarantine experiences and practices. Descriptive statistics were calculated. RESULTS: One hundred fifteen interviews were conducted, representing the majority of the households in the seven villages. Most (99%) correctly identified touching an infected person's body fluids and contact with the body of someone who has died from EVD as transmission routes. However, interviewees sometimes incorrectly identified mosquito bites (58%) and airborne spread (32%) as routes of EVD transmission, and 72% incorrectly identified the longest EVD incubation period as ≤seven days. Eight of 16 households in the two quarantined villages (50%) reported times when there was not enough water or food during quarantine. Nine of 16 (56%) reported that a household member had illnesses or injuries during quarantine; of these, all (100%) obtained care from a clinic, hospital, or Ebola treatment unit (ETU). CONCLUSION: Residents' knowledge of EVD transmission routes and incubation period were suboptimal. Public health authorities should consider assessing residents' understanding of Ebola transmission routes and effectively educate them to ensure correct understanding. Quarantined residents should be provided with sufficient food, water, and access to medical care.

Ocular syphilis, a manifestation of Treponema pallidum infection, can cause a variety of ocular signs and symptoms, including eye redness, blurry vision, and vision loss. Although syphilis is nationally notifiable, ocular manifestations are not reportable to CDC. Syphilis rates have increased in the United States since 2000. After ocular syphilis clusters were reported in early 2015, CDC issued a clinical advisory in April 2015 and published a description of the cases in October 2015. Because of concerns about an increase in ocular syphilis, eight jurisdictions (California, excluding Los Angeles and San Francisco, Florida, Indiana, Maryland, New York City, North Carolina, Texas, and Washington) reviewed syphilis surveillance and case investigation data from 2014, 2015, or both to ascertain syphilis cases with ocular manifestations. A total of 388 suspected ocular syphilis cases were identified, 157 in 2014 and 231 in 2015. Overall, among total syphilis surveillance cases in the jurisdictions evaluated, 0.53% in 2014 and 0.65% in 2015 indicated ocular symptoms. Five jurisdictions described an increase in suspected ocular syphilis cases in 2014 and 2015. The predominance of cases in men (93%), proportion of those who are men who have sex with men (MSM), and percentage who are HIV-positive (51%) are consistent with the epidemiology of syphilis in the United States. It is important for clinicians to be aware of potential visual complications related to syphilis infections. Prompt identification of potential ocular syphilis, ophthalmologic evaluation, and appropriate treatment are critical to prevent or manage visual symptoms and sequelae of ocular syphilis.

BACKGROUND: In the United States, the proportion of Bordetella pertussis isolates lacking pertactin, a component of acellular pertussis vaccines, increased from 14% in 2010 to 85% in 2012. The impact on vaccine effectiveness (VE) is unknown. METHODS: We conducted 2 matched case-control evaluations in Vermont to assess VE of the 5-dose diphtheria, tetanus, and acellular pertussis vaccine (DTaP) series among 4- to 10-year-olds, and tetanus, diphtheria, and acellular pertussis vaccine (Tdap) among 11- to 19-year-olds. Cases reported during 2011 to 2013 were included. Three controls were matched to each case by medical home, and additionally by birth year for the Tdap evaluation. Vaccination history was obtained from medical records and parent interviews. Odds ratios (OR) were calculated by using conditional logistic regression; VE was estimated as (1-OR) x 100%. Pertactin status was determined for cases with available isolates. RESULTS: Overall DTaP VE was 84% (95% confidence interval [CI] 58%-94%). VE within 12 months of dose 5 was 90% (95% CI 71%-97%), declining to 68% (95% CI 10%-88%) by 5-7 years post-vaccination. Overall Tdap VE was 70% (95% CI 54%-81%). Within 12 months of Tdap vaccination, VE was 76% (95% CI 60%-85%), declining to 56% (95% CI 16%-77%) by 2-4 years post-vaccination. Of cases with available isolates, >90% were pertactin-deficient. CONCLUSIONS: Our DTaP and Tdap VE estimates remain similar to those found in other settings, despite high prevalence of pertactin deficiency in Vermont, suggesting these vaccines continue to be protective against reported pertussis disease.

Preventing attrition is a major concern in behavioral weight loss intervention studies. The purpose of this analysis was to identify baseline and six-month predictors associated with participant attrition across three independent clinical trials of behavioral weight loss interventions (PREFER, SELF, and SMART) that were conducted over 10years. Baseline measures included body mass index, Barriers to Healthy Eating, Beck Depression Inventory-II (BDI), Hunger Satiety Scale (HSS), Binge Eating Scale (BES), Medical Outcome Study Short Form (MOS SF-36 v2) and Weight Efficacy Lifestyle Questionnaire (WEL). We also examined early weight loss and attendance at group sessions during the first 6months. Attrition was recorded at the end of the trials. Participants included 504 overweight and obese adults seeking weight loss treatment. The sample was 84.92% female and 73.61% white, with a mean (+/-SD) age of 47.35+/-9.75years. After controlling for the specific trial, for every one unit increase in BMI, the odds of attrition increased by 11%. For every year increase in education, the odds of attrition decreased by 10%. Additional predictors of attrition included previous attempts to lose 50-79lbs, age, not possessing health insurance, and BES, BDI, and HSS scores. At 6months, the odds of attrition increased by 10% with reduced group session attendance. There was also an interaction between percent weight change and trial (p<.001). Multivariate analysis of the three trials showed education, age, BMI, and BES scores were independently associated with attrition (ps≤.01). These findings may inform the development of more robust strategies for reducing attrition.

INTRODUCTION: Historically, federal funding streams to address cancer and tobacco use have been provided separately to state health departments. This study aims to document the impact of a recent focus on coordinating chronic disease efforts through collaboration between the 2 programs. METHODS: Through a case-study approach using semistructured interviews, we collected information on the organizational context, infrastructure, and interaction between cancer and tobacco control programs in 6 states from March through July 2012. Data were analyzed with NVivo software, using a grounded-theory approach. RESULTS: We found between-program activities in the state health department and coordinated implementation of interventions in the community. Factors identified as facilitating integrated interventions in the community included collaboration between programs in the strategic planning process, incorporation of one another's priorities into state strategic plans, co-location, and leadership support for collaboration. Coalitions were used to deliver integrated interventions to the community. Five states perceived high staff turnover as a barrier to collaboration, and all 5 states felt that federal funding requirements were a barrier. CONCLUSIONS: Cancer and tobacco programs are beginning to implement integrated interventions to address chronic disease. Findings can inform the development of future efforts to integrate program activities across chronic disease prevention efforts.

This supplement provides a comprehensive and in-depth examination of proven clinical-community health strategies employed by the Alliance to Reduce Disparities in Diabetes, across five sites located in diverse geographic regions of the United States, including a tribal community. Alliance projects in these communities focused on African Americans, Hispanics/Latinos, and American Indians as priority populations. Each project was implemented with an understanding that there are cultural norms, community characteristics, and health care system challenges that require sustained multicomponent approaches to ameliorate factors that exacerbate poor disease management and health outcomes. The articles increase understanding of what is required to implement evidence-based approaches shaped by local experiences in order to meet the needs of diverse communities affected by diabetes. Lessons learned have generic elements that can be used in other priority populations and settings.

BACKGROUND: Evidence supports the role of feedback in reinforcing motivation for behavior change. Feedback that provides reinforcement has the potential to increase dietary self-monitoring and enhance attainment of recommended dietary intake. OBJECTIVE: The aim of this study was to examine the impact of daily feedback (DFB) messages, delivered remotely, on changes in dietary intake. METHODS: This was a secondary analysis of the Self- Monitoring And Recording using Technology (SMART) Trial, a single-center, 24-month randomized clinical trial of behavioral treatment for weight loss. Participants included 210 obese adults (mean body mass index, 34.0 kg/m) who were randomized to either a paper diary (PD), personal digital assistant (PDA), or PDA plus daily tailored feedback messages (PDA + FB). To determine the role of daily tailored feedback in dietary intake, we compared the self-monitoring with DFB group (DFB group; n = 70) with the self-monitoring without DFB group (no-DFB group, n = 140). All participants received a standard behavioral intervention for weight loss. Self-reported changes in dietary intake were compared between the DFB and no-DFB groups and were measured at baseline and at 6, 12, 18, and 24 months. Linear mixed modeling was used to examine percentage changes in dietary intake from baseline. RESULTS: Compared with the no-DFB group, the DFB group achieved a larger reduction in energy (-22.8% vs -14.0%; P = .02) and saturated fat (-11.3% vs -0.5%; P = .03) intake and a trend toward a greater decrease in total fat intake (-10.4% vs -4.7%; P = .09). There were significant improvements over time in carbohydrate intake and total fat intake for both groups (P values < .05). CONCLUSION: Daily tailored feedback messages designed to target energy and fat intake and delivered remotely in real time using mobile devices may play an important role in the reduction of energy and fat intake.

PURPOSE: We estimated the prevalence of urinary incontinence in the United States adult male population and identified associated factors. MATERIALS AND METHODS: Data were analyzed for 5,297 men 20 years old or older who participated in the 2005 to 2006 and 2007 to 2008 cycles of the National Health and Nutrition Examination Survey, a cross-sectional, nationally representative survey of the United States noninstitutionalized population. Urinary incontinence (score of 3 or greater on a validated incontinence severity index, indicating moderate to severe leakage) was assessed. Potential associated factors included age, race/ethnicity, education, self-reported health status, prior diagnosis of prostate cancer and/or enlarged prostate (men 40 years old or older), chronic diseases and depression status. Prevalence ORs were estimated from a multivariable logistic regression analysis using appropriate sampling weights. RESULTS: The prevalence of moderate/severe urinary incontinence was 4.5% (95% CI 3.8, 5.4). Prevalence increased with age from 0.7% (95% CI 0.4, 1.6) in men 20 to 34 years old, to 16.0% (95% CI 13.0, 19.4) in men 75 years old or older (p <0.001). We found no difference in prevalence by racial/ethnic group (p = 0.38). Factors significantly associated (p <0.05) with urinary incontinence were age (per 10-year increase, OR 1.8; 95% CI 1.6, 2.0), major depression (OR 2.7; 95% CI 1.6, 4.0) and hypertension (OR 1.3; 95% CI 1.1, 1.5). CONCLUSIONS: Age and race adjusted prevalence estimates for urinary incontinence in men are consistent with other estimates using a similar definition. To our knowledge this is the first study that identifies factors associated with moderate to severe urinary incontinence in men.

BACKGROUND AND AIMS: The study aims were to estimate the prevalence of different types and frequencies of fecal incontinence (FI), describe demographic factors, and identify risk factors. METHODS: The National Health and Nutrition Examination Survey (NHANES) assesses health status in the civilian noninstitutionalized US population. The validated Fecal Incontinence Severity Index was added to NHANES in 2005-2006. Participants were 2229 women and 2079 men aged 20 years or older. FI was defined as accidental leakage of solid, liquid, or mucus at least once in the preceding month. Sampling weights were used to obtain prevalence estimates for the national population. Multivariate logistic regression identified independent risk factors. RESULTS: The estimated prevalence of FI in noninstitutionalized US adults is 8.3% (95% confidence interval, 7.1-9.5) and consists of liquid stool in 6.2%, solid stool in 1.6%, and mucus in 3.1%. It occurs at least weekly in 2.7%. Prevalence is similar in women (8.9%) and men (7.7%) and increases with age from 2.6% in 20 to 29 year olds up to 15.3% in participants aged 70 years and older. FI is not significantly associated with race/ethnicity, education, income, or marital status after adjusting for age. Independent risk factors in women are advancing age, loose or watery stools, more than 21 stools per week, multiple chronic illnesses, and urinary incontinence. Independent risk factors in men are age, loose or watery stools, poor self-rated health, and urinary incontinence. CONCLUSIONS: FI is a prevalent age-related disorder. Chronic diarrhea is a strong modifiable risk factor that may form the basis for prevention and treatment.