Stroke Mortality Among Black and White Adults Aged ≥35 Years Before and During the COVID-19 Pandemic - United States, 2015-2021.

Stroke is the fifth leading cause of death and a leading cause of long-term disability in the United States (1). Although stroke death rates have declined since the 1950s, age-adjusted rates remained higher among non-Hispanic Black or African American (Black) adults than among non-Hispanic White (White) adults (1,2). Despite intervention efforts to reduce racial disparities in stroke prevention and treatment through reducing stroke risk factors, increasing awareness of stroke symptoms, and improving access to treatment and care for stroke (1,3), Black adults were 45% more likely than were White adults to die from stroke in 2018.* In 2019, age-adjusted stroke death rates (AASDRs) (stroke deaths per 100,000 population) were 101.6 among Black adults and 69.1 among White adults aged ≥35 years. Stroke deaths increased during the early phase of the COVID-19 pandemic (March-August 2020), and minority populations experienced a disproportionate increase (4). The current study examined disparities in stroke mortality between Black and White adults before and during the COVID-19 pandemic. Analysts used National Vital Statistics System (NVSS) mortality data accessed via CDC WONDER† to calculate AASDRs among Black and White adults aged ≥35 years prepandemic (2015-2019) and during the pandemic (2020-2021). Compared with that during the prepandemic period, the absolute difference in AASDR between Black and White adults during the pandemic was 21.7% higher (31.3 per 100,000 versus 38.0). During the pandemic period, an estimated 3,835 excess stroke deaths occurred among Black adults (9.4% more than expected) and 15,125 among White adults (6.9% more than expected). These findings underscore the importance of identifying the major factors contributing to the widened disparities; implementing prevention efforts, including the management and control of hypertension, high blood cholesterol, and diabetes; and developing tailored interventions to reduce disparities and advance health equity in stroke mortality between Black and White adults. Stroke is a serious medical condition that requires emergency care. Warning signs of a stroke include sudden face drooping, arm weakness, and speech difficulty. Immediate notification of Emergency Medical Services by calling 9-1-1 is critical upon recognition of stroke signs and symptoms.

Impact of COVID-19-related care disruptions on blood pressure management and control in community health centers.

BACKGROUND: Uncontrolled hypertension is a leading risk factor for cardiovascular disease. To ensure continuity of care, community health centers (CHCs) nationwide implemented virtual care (telehealth) during the pandemic. CHCs use the Centers for Medicare & Medicaid Services (CMS) 165v8 Controlling High Blood Pressure measure to report blood pressure (BP) control performance. CMS 165v8 specifications state that if no BP is documented during the measurement period, the patient's BP is assumed uncontrolled. METHODS: To examine trends in BP documentation and control rates in CHCs as telehealth use increased during the pandemic compared with pre-pandemic period, we assessed documentation of BP measurement and BP control rates from December 2019 - October 2021 among persons ages 18-85 with a diagnosis of hypertension who had an in-person or telehealth encounter in 11 CHCs. Rates were compared between CHCs that did and did not implement self-measured BP monitoring (SMBP). RESULTS: The percent of patients with hypertension with no documented BP measurement was 0.5% in December 2019 and increased to 15.2% (overall), 25.6% (non-SMBP CHCs), and 11.2% (SMBP CHCs) by October 2021. BP control using CMS 165v8 was 63.5% in December 2019 and decreased to 54.9% (overall), 49.1% (non-SMBP), and 57.2% (SMBP) by October 2021. When assessing BP control only in patients with documented BP measurements, CHCs largely maintained BP control rates (63.8% in December 2019; 64.8% (overall), 66.0% (non-SMBP), and 64.4% (SMBP) by October 2021). CONCLUSIONS: The transition away from in-person to telehealth visits during the pandemic likely increased the number of patients with hypertension lacking a documented BP measurement, subsequently negatively impacting BP control using CMS 165v8. There is an urgent need to enhance the flexibility of virtual care, improve EHR data capture capabilities for patient-generated data, and implement expanded policy and systems-level changes for SMBP, an evidence-based strategy that can build patient trust, increase healthcare engagement, and improve hypertension outcomes.

Commitment to Hypertension Control During the COVID-19 Pandemic: Million Hearts Initiative Exemplars.

Hypertension is a major risk factor for cardiovascular diseases, but 3 of 4 US adults do not have their blood pressure adequately controlled. Million Hearts (US Department of Health and Human Services) is a national initiative that promotes a set of priorities and interventions to optimize delivery of evidence-based strategies to manage cardiovascular disease, including hypertension. The COVID-19 pandemic, however, has disrupted routine care and preventive service delivery. We identified examples of clinical and health organizations that adapted services and care processes to continue a focus on monitoring and controlling hypertension during the pandemic. Eight Hypertension Control Exemplars were identified and interviewed. They reported various adapted care strategies including telemedicine, engaging patients in self-measured blood pressure monitoring, adapting or implementing medication management services, activating partnerships to respond to patient needs or expand services, and implementing unique patient outreach approaches. Documenting these hypertension control strategies can help increase adoption of adaptive approaches during public health emergencies and routine care.

Modeling the Transmission of COVID-19: Impact of Mitigation Strategies in Prekindergarten-Grade 12 Public Schools, United States, 2021.

BACKGROUND: Schools are an integral part of the community; however, congregate settings facilitate transmission of SARS-CoV-2, presenting a challenge to school administrators to provide a safe, in-school environment for students and staff. METHODS: We adapted the Centers for Disease Control and Prevention's COVIDTracer Advanced tool to model the transmission of SARS-CoV-2 in a school of 596 individuals. We estimate possible reductions in cases and hospitalizations among this population using a scenario-based analysis that accounts for (a) the risk of importation of infection from the community; (b) adherence to key Centers for Disease Control and Prevention-recommended mitigation strategies: mask wearing, cleaning and disinfection, hand hygiene, and social distancing; and (c) the effectiveness of contact tracing interventions at limiting onward transmission. RESULTS: Low impact and effectiveness of mitigation strategies (net effectiveness: 27%) result in approximately 40% of exposed staff and students becoming COVID-19 cases. When the net effectiveness of mitigation strategies was 69% or greater, in-school transmission was mostly prevented, yet importation of cases from the surrounding community could result in nearly 20% of the school's population becoming infected within 180 days. The combined effects of mitigation strategies and contact tracing were able to prevent most onward transmission. Hospitalizations were low among children and adults (<0.5% of the school population) across all scenarios examined. CONCLUSIONS: Based on our model, layering mitigation strategies and contact tracing can limit the number of cases that may occur from transmission in schools. Schools in communities with substantial levels of community spread will need to be more vigilant to ensure adherence of mitigation strategies to minimize transmission. Our results show that for school administrators, teachers, and parents to provide the safest environment, it is important to utilize multiple mitigation strategies and contract tracing that reduce SARS CoV-2 transmission by at least 69%. This will require training, reinforcement, and vigilance to ensure that the highest level of adherence is maintained over the entire school term.

The Impact of Covid-19 State Closure Orders on Consumer Spending, Employment, and Business Revenue.

CONTEXT: In response to the COVID-19 pandemic, states across the United States implemented various strategies to mitigate transmission of SARS-CoV-2 (the virus that causes COVID-19). OBJECTIVE: To examine the effect of COVID-19-related state closures on consumer spending, business revenue, and employment, while controlling for changes in COVID-19 incidence and death. DESIGN: The analysis estimated a difference-in-difference model, utilizing temporal and geographic variation in state closure orders to analyze their impact on the economy, while controlling for COVID-19 incidence and death. PARTICIPANTS: State-level data on economic outcomes from the Opportunity Insights data tracker and COVID-19 cases and death data from usafacts.org. INTERVENTIONS: The mitigation strategy analyzed within this study was COVID-19-related state closure orders. Data on these orders were obtained from state government Web sites containing executive or administrative orders. MAIN OUTCOME MEASURES: Outcomes include state-level estimates of consumer spending, business revenue, and employment levels. RESULTS: Analyses showed that although state closures led to a decrease in consumer spending, business revenue, and employment, they accounted for only a small portion of the observed decreases in these outcomes over the first wave of COVID-19. CONCLUSIONS: The impact of COVID-19 on economic activity likely reflects a combination of factors, in addition to state closures, such as individuals' perceptions of risk related to COVID-19 incidence, which may play significant roles in impacting economic activity.

Decline in COVID-19 Hospitalization Growth Rates Associated with Statewide Mask Mandates - 10 States, March-October 2020.

SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), is transmitted predominantly by respiratory droplets generated when infected persons cough, sneeze, spit, sing, talk, or breathe. CDC recommends community use of face masks to prevent transmission of SARS-CoV-2 (1). As of October 22, 2020, statewide mask mandates were in effect in 33 states and the District of Columbia (2). This study examined whether implementation of statewide mask mandates was associated with COVID-19-associated hospitalization growth rates among different age groups in 10 sites participating in the COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) in states that issued statewide mask mandates during March 1-October 17, 2020. Regression analysis demonstrated that weekly hospitalization growth rates declined by 2.9 percentage points (95% confidence interval [CI] = 0.3-5.5) among adults aged 40-64 years during the first 2 weeks after implementing statewide mask mandates. After mask mandates had been implemented for ≥3 weeks, hospitalization growth rates declined by 5.5 percentage points among persons aged 18-39 years (95% CI = 0.6-10.4) and those aged 40-64 years (95% CI = 0.8-10.2). Statewide mask mandates might be associated with reductions in SARS-CoV-2 transmission and might contribute to reductions in COVID-19 hospitalization growth rates, compared with growth rates during <4 weeks before implementation of the mandate and the implementation week. Mask-wearing is a component of a multipronged strategy to decrease exposure to and transmission of SARS-CoV-2 and reduce strain on the health care system, with likely direct effects on COVID-19 morbidity and associated mortality.

Addressing Racial and Ethnic Disparities in COVID-19 Among School-Aged Children: Are We Doing Enough?

The disproportionate impact of COVID-19 and associated disparities among Hispanic, non-Hispanic Black, and non-Hispanic American Indian/Alaska Native children and teenagers has been documented. Reducing these disparities along with overcoming unintended negative consequences of the pandemic, such as the disruption of in-person schooling, calls for broad community-based collaborations and nuanced approaches. Based on national survey data, children from some racial and ethnic minority groups have a higher prevalence of obesity, asthma, type 2 diabetes, and hypertension; were diagnosed more frequently with COVID-19; and had more severe outcomes compared with their non-Hispanic White (NHW) counterparts. Furthermore, a higher proportion of children from some racial and ethnic minority groups lived in families with incomes less than 200% of the federal poverty level or in households lacking secure employment compared with NHW children. Children from some racial and ethnic minority groups were also more likely to attend school via online learning compared with NHW counterparts. Because the root causes of these disparities are complex and multifactorial, an organized community-based approach is needed to achieve greater proactive and sustained collaborations between local health departments, local school systems, and other public and private organizations to pursue health equity. This article provides a summary of potential community-based health promotion strategies to address racial and ethnic disparities in COVID-19 outcomes and educational inequities among children and teens, specifically in the implementation of strategic partnerships, including initial collective work, outcomes-based activities, and communication. These collaborations can facilitate policy, systems, and environmental changes in school systems that support emergency preparedness, recovery, and resilience when faced with public health crises.

A Multilevel Workforce Study on Drivers of Turnover and Training Needs in State Health Departments: Do Leadership and Staff Agree?

OBJECTIVES: To characterize agreement between senior governmental public health staff and their subordinates concerning drivers for staff turnover, and skill importance and ability. DESIGN: Data were combined from 2 national surveys conducted in 2017; one was a nationally representative, individual-level survey of public health workers, and one was an individual-level survey of their leadership. SETTING: State health agencies. PARTICIPANTS: Respondents who held scientific, nonsupervisory positions at state health agency central offices (n = 3606) were matched with leadership (n = 193) who provided programmatic area oversight. MAIN OUTCOME MEASURES: Drivers of turnover and training needs are the primary outcomes examined in this article. RESULTS: Leaders and their staff agreed on the main 2 drivers of turnover (low salary and lack of opportunities for advancement), but discordance was observed for other major drivers of turnover. Substantial discordance was observed between leaders and their staff in terms of perceived staff proficiency with selected skills. CONCLUSIONS: This multilevel assessment of workplace perceptions offers evidence around training needs and drivers of turnover in state health agencies. Although staff and leaders agree on some major drivers of turnover, other potential reasons for leaving cited by staff, and the difference in perceptions of skills, can help target job satisfaction, training, and retention efforts in state health agencies.

A Novel Approach for Workforce Surveillance at the US Department of Health and Human Services.

BACKGROUND: Expert groups have recommended ongoing monitoring of the public health workforce to determine its ability to execute designated objectives. Resource- and time-intensive surveys have been a primary data source to monitor the workforce. We evaluated an administrative data source containing US Department of Health and Human Services (HHS) aggregate federal civil service workforce-related data to determine its potential as a workforce surveillance system for this component of the workforce. METHODS: We accessed FedScope, a publicly available online database containing federal administrative civilian HHS personnel data. Using established guidelines for evaluating surveillance systems and identified workforce characteristics, we evaluated FedScope attributes for workforce surveillance purposes. RESULTS: We determined FedScope to be a simple, highly accepted, flexible, stable, and timely system to support analyses of federal civil service workforce-related data. Data can be easily accessed, analyzed, and monitored for changes across years and draw conclusions about the workforce. FedScope data can be used to calculate demographics (eg, sex, race or ethnicity, age group, and education level), employment characteristics (ie, supervisory status, work schedule, and appointment type), retirement projections, and characterize the federal workforce into standard occupational categories. CONCLUSIONS: This study indicates that an administrative data source containing HHS personnel data can function as a workforce surveillance system valuable to researchers, public health leaders, and decision makers interested in the federal civil service public health workforce. Using administrative data for workforce development is a model that can be applicable to federal and nonfederal public health agencies and ultimately support improvements in public health.

Estimated Resource Costs for Implementation of CDC's Recommended COVID-19 Mitigation Strategies in Pre-Kindergarten through Grade 12 Public Schools - United States, 2020-21 School Year.

As school districts across the United States consider how to safely operate during the 2020-21 academic year, CDC recommends mitigation strategies that schools can adopt to reduce the risk for transmission of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19) (1). To identify the resources and costs needed to implement school-based mitigation strategies and provide schools and jurisdictions with information to aid resource allocation, a microcosting methodology was employed to estimate costs in three categories: materials and consumables, additional custodial staff members, and potential additional transportation. National average estimates, using the national pre-kindergarten through grade 12 (preK-12) public enrollment of 50,685,567 students, range between a mean of $55 (materials and consumables only) to $442 (all three categories) per student. State-by-state estimates of additional funds needed as a percentage of fiscal year 2018 student expenditures (2) range from an additional 0.3% (materials and consumables only) to 7.1% (all three categories); however, only seven states had a maximum estimate above 4.2%. These estimates, although not exhaustive, highlight the level of resources needed to ensure that schools reopen and remain open in the safest possible manner and offer administrators at schools and school districts and other decision-makers the cost information necessary to budget and prioritize school resources during the COVID-19 pandemic.

Implementing Mitigation Strategies in Early Care and Education Settings for Prevention of SARS-CoV-2 Transmission - Eight States, September-October 2020.

The Head Start program, including Head Start for children aged 3-5 years and Early Head Start for infants, toddlers, and pregnant women, promotes early learning and healthy development among children aged 0-5 years whose families meet the annually adjusted Federal Poverty Guidelines* throughout the United States.† These programs are funded by grants administered by the U.S. Department of Health and Human Services' Administration for Children and Families (ACF). In March 2020, Congress passed the Coronavirus Aid, Relief, and Economic Security (CARES) Act,§ which appropriated $750 million for Head Start, equating to approximately $875 in CARES Act funds per enrolled child. In response to the coronavirus disease 2019 (COVID-19) pandemic, most states required all schools (K-12) to close or transition to virtual learning. The Office of Head Start gave its local programs that remained open the flexibility to use CARES Act funds to implement CDC-recommended guidance (1) and other ancillary measures to provide in-person services in the early phases of community transmission of SARS-CoV-2, the virus that causes COVID-19, in April and May 2020, when many similar programs remained closed. Guidance included information on masks, other personal protective equipment, physical setup, supplies necessary for maintaining healthy environments and operations, and the need for additional staff members to ensure small class sizes. Head Start programs successfully implemented CDC-recommended mitigation strategies and supported other practices that helped to prevent SARS-CoV-2 transmission among children and staff members. CDC conducted a mixed-methods analysis to document these approaches and inform implementation of mitigation strategies in other child care settings. Implementing and monitoring adherence to recommended mitigation strategies reduces risk for COVID-19 transmission in child care settings. These approaches could be applied to other early care and education settings that remain open for in-person learning and potentially reduce SARS-CoV-2 transmission.

Adoption of Strategies to Mitigate Transmission of COVID-19 During a Statewide Primary Election - Delaware, September 2020.

Elections occurring during the coronavirus disease 2019 (COVID-19) pandemic have been affected by notable changes in the methods of voting, the number and type of polling locations, and in-person voting procedures (1). To mitigate transmission of COVID-19 at polling locations, jurisdictions have adopted changes to protocols and procedures, informed by CDC's interim guidance, developed in collaboration with the Election Assistance Commission (2). The driving principle for this guidance is that voting practices with lower infection risk will be those which reduce the number of voters who congregate indoors in polling locations by offering a variety of methods for voting and longer voting periods. The guidance for in-person voting includes considerations for election officials, poll workers, and voters to maintain healthy environments and operations. To assess knowledge and adoption of mitigation strategies, CDC collaborated with the Delaware Department of Health and Social Services and the Delaware State Election Commission on a survey of poll workers who served during the statewide primary election on September 15, 2020. Among 522 eligible poll workers, 93% correctly answered all three survey questions about COVID-19 transmission. Respondents noted that most voters and poll workers wore masks. However, masks were not always worn correctly (i.e., covering both the nose and mouth). Responses suggest that mitigation measures recommended for both poll workers and voters were widely adopted and feasible, but also highlighted gaps in infection prevention control efforts. Strengthening of measures intended to minimize the risk of poll workers acquiring COVID-19 from ill voters, such as additional training and necessary personal protective equipment (PPE), as well as support for alternative voting options for ill voters, are needed. Adherence to mitigation measures is important not only to protect voters but also to protect poll workers, many of whom are older adults, and thus at higher risk for severe COVID-19-associated illness. Enhanced attention to reducing congregation in polling locations, correct mask use, and providing safe voting options for ill voters are critical considerations to minimize risk to voters and poll workers. Evidence from the Delaware election supports the feasibility and acceptability of implementing current CDC guidance for election officials, poll workers, and voters for mitigating COVID-19 transmission at polling locations (2).

The State of the US Governmental Public Health Workforce, 2014-2017.

Public health workforce development efforts during the past 50 years have evolved from a focus on enumerating workers to comprehensive strategies that address workforce size and composition, training, recruitment and retention, effectiveness, and expected competencies in public health practice. We provide new perspectives on the public health workforce, using data from the Public Health Workforce Interests and Needs Survey, the largest nationally representative survey of the governmental public health workforce in the United States. Five major thematic areas are explored: workforce diversity in a changing demographic environment; challenges of an aging workforce, including impending retirements and the need for succession planning; workers' salaries and challenges of recruiting new staff; the growth of undergraduate public health education and what this means for the future public health workforce; and workers' awareness and perceptions of national trends in the field. We discussed implications for policy and practice.

Succession Planning in State Health Agencies in the United States: A Brief Report.

OBJECTIVE: Approximately 25% of the public health workforce plans to retire by 2020. Succession planning is a core capability of the governmental public health enterprise; however, limited data are available regarding these efforts in state health agencies (SHAs). METHODS: We analyzed 2016 Workforce Gaps Survey data regarding succession planning in SHAs using the US Office of Personnel Management's (OPM's) succession planning model, including 6 domains and 27 activities. Descriptive statistics were calculated for all 41 responding SHAs. RESULTS: On average, SHAs self-reported adequately addressing 11 of 27 succession planning activities, with 93% of SHAs adequately addressing 1 or more activities and 61% adequately addressing 1 or more activities in each domain. CONCLUSIONS: The majority of OPM-recommended succession planning activities are not being addressed, and limited succession planning occurs across SHAs. Greater activity in the OPM-identified succession planning domains may help SHAs contend with significant turnover and better preserve institutional knowledge.

The Public Health Workforce Taxonomy: Revisions and Recommendations for Implementation.

Public health workforce size and composition have been difficult to accurately determine because of the wide variety of methods used to define job title terms, occupational categories, and worker characteristics. In 2014, a preliminary consensus-based public health workforce taxonomy was published to standardize the manner in which workforce data are collected and analyzed by outlining uniform categories and terms. We summarize development of the taxonomy's 2017 iteration and provide guidelines for its implementation in public health workforce development efforts. To validate its utility, the 2014 taxonomy was pilot tested through quantitative and qualitative methods to determine whether further refinements were necessary. Pilot test findings were synthesized, themed by axis, and presented for review to an 11-member working group drawn from the community of experts in public health workforce development who refined the taxonomy content and structure through a consensus process. The 2017 public health workforce taxonomy consists of 287 specific classifications organized along 12 axes, intended for producing standardized descriptions of the public health workforce. The revised taxonomy provides enhanced clarity and inclusiveness for workforce characterization and will aid public health workforce researchers and workforce planning decision makers in gathering comparable, standardized data to accurately describe the public health workforce.

A Review of Public Health Training Needs Assessment Approaches: Opportunities to Move Forward.

CONTEXT: Assessing training needs of the public health workforce is crucial for creating professional development opportunities to improve knowledge, competence, and effectiveness of this workforce. DISSEMINATION: Regional Public Health Training Centers (RPHTCs) assess workforce training needs and deliver training based on identified needs. To determine training priorities, several needs assessment surveys have been administered by RPHTCs and national public health member organizations. EVALUATION: This study identified the types of training questions being asked to public health practitioners in the various assessment surveys implemented by RPHTCs and national membership organizations. Although the surveys measured similar overarching constructs, multiple approaches with limited consistency were used to measure training needs. DISCUSSION: Although successful in responding to the needs of their targeted constituents, the limited consistency among survey types makes generalization of findings difficult. Disseminating common metrics and aggregate survey findings would increase efficiency in determining workforce training needs and developing targeted training.

State Health Agency and Local Health Department Workforce: Identifying Top Development Needs.

OBJECTIVES: To identify occupations with high-priority workforce development needs at public health departments in the United States. METHODS: We surveyed 46 state health agencies (SHAs) and 112 local health departments (LHDs). We asked respondents to prioritize workforce needs for 29 occupations and identify whether more positions, more qualified candidates, more competitive salaries for recruitment or retention, or new or different staff skills were needed. RESULTS: Forty-one SHAs (89%) and 36 LHDs (32%) participated. The SHAs reported having high-priority workforce needs for epidemiologists and laboratory workers; LHDs for disease intervention specialists, nurses, and administrative support, management, and leadership positions. Overall, the most frequently reported SHA workforce needs were more qualified candidates and more competitive salaries. The LHDs most frequently reported a need for more positions across occupations and more competitive salaries. Workforce priorities for respondents included strengthening epidemiology workforce capacity, adding administrative positions, and improving compensation to recruit and retain qualified employees. CONCLUSIONS: Strategies for addressing workforce development concerns of health agencies include providing additional training and workforce development resources, and identifying best practices for recruitment and retention of qualified candidates.

Systematic review and meta-analysis of pertussis epidemiology in Latin America and the Caribbean: 1980-2015.

OBJECTIVES: In Latin America and the Caribbean (LAC), pertussis disease incidence has reportedly increased since 2000 despite high vaccine coverage. A systematic review of pertussis literature and a meta-analysis was conducted to understand the burden of disease in LAC. METHODS: A systematic literature review was completed, using relevant search terms. Original articles describing pertussis epidemiology and vaccine coverage in LAC published between 1980 and 2015 were identified. Applying a Bayesian meta-analysis random-effects model, we calculated pooled estimates and corresponding 95% credible intervals (95% CrIs) for pertussis incidence, case fatality ratio (CFR), pertussis prevalence among contacts, and coverage with three doses of diphtheria, tetanus, and pertussis (DTP) vaccine (DTP3). RESULTS: A total of 59 studies meeting our selection criteria were identified, representing 15 countries. Of the 59, 15 of them provided incidence data, with 7 of the 15 reporting a pertussis case definition. The pertussis incidence estimate for the 1980-1999 period was 17.8 cases per 100 000 persons (95% CrI: 5.9-29.7); for the 2000-2015 period, it was 2.5 cases per 100 000 persons (95% CrI: 1.8-3.2). For the 1980-2015 period, the CFR, in 19 studies reviewed, was 3.9% (95% CrI: 2.9%-4.9%); for that same period, in 5 studies reviewed, pertussis prevalence among contacts was 24.9% (95% CrI: 13.7%-36.1%). Pooled DTP3 vaccine coverage estimates, in a total of 20 studies reviewed for the following three time periods, were: 1980-1990, 72.4% (95% CrI: 64.6%-80.2%); 1991-2000, 79.0% (95% CrI: 66.1%-91.9%); and 2001-2015, 90.0% (95% CrI: 87.7%-92.3%). CONCLUSION: A decrease in pertussis incidence and an achievement of moderately high DTP3 vaccine coverage since the early 2000s was observed. The review highlights the need for increased publication of pertussis data at the country level and for LAC as a whole in order to better understand the true burden of the disease. Application of a standardized case definition and use of active case finding would aid in obtaining more accurate estimates of the disease burden in LAC.

Epidemiology of Epidemic Ebola Virus Disease in Conakry and Surrounding Prefectures, Guinea, 2014-2015.

In 2014, Ebola virus disease (EVD) in West Africa was first reported during March in 3 southeastern prefectures in Guinea; from there, the disease rapidly spread across West Africa. We describe the epidemiology of EVD cases reported in Guinea's capital, Conakry, and 4 surrounding prefectures (Coyah, Dubreka, Forecariah, and Kindia), encompassing a full year of the epidemic. A total of 1,355 EVD cases, representing ≈40% of cases reported in Guinea, originated from these areas. Overall, Forecariah had the highest cumulative incidence (4× higher than that in Conakry). Case-fatality percentage ranged from 40% in Conakry to 60% in Kindia. Cumulative incidence was slightly higher among male than female residents, although incidences by prefecture and commune differed by sex. Over the course of the year, Conakry and neighboring prefectures became the EVD epicenter in Guinea.