Cost Analysis of Prevention Research Centers: Instrument Development.

The 2014-2019 Prevention Research Centers (PRC) Program Funding Opportunity Announcement stated that "all applicants will be expected to collaborate with CDC to collect data to be able to perform cost analysis." For the first time in the 30-year history of the PRC Program, a cost indicator was included in the PRC Program Evaluation and a cost analysis (CA) instrument developed. The PRC-CA instrument systematically collects data on the cost of the PRC core research project to eventually answer the CDC PRC Program Evaluation question: "To what extent do investments in PRCs support the scalability, sustainability, and effectiveness of the outcomes resulting from community-engaged efforts to improve public health?" The objective of this article is to briefly describe the development of the PRC-CA instrument. Data obtained from the PRC-CA instrument can be used to generate cost summaries to inform decision making within the PRC Program and each individual PRC.

Secondary Infections with Ebola Virus in Rural Communities, Liberia and Guinea, 2014-2015.

Persons who died of Ebola virus disease at home in rural communities in Liberia and Guinea resulted in more secondary infections than persons admitted to Ebola treatment units. Intensified monitoring of contacts of persons who died of this disease in the community is an evidence-based approach to reduce virus transmission in rural communities.

Decreased Ebola Transmission after Rapid Response to Outbreaks in Remote Areas, Liberia, 2014.

We measured the reproduction number before and after interventions were implemented to reduce Ebola transmission in 9 outbreaks in Liberia during 2014. We evaluated risk factors for secondary cases and the association between patient admission to an Ebola treatment unit (ETU) and survival. The reproduction number declined 94% from 1.7 (95% CI 1.1-2.6) to 0.1 (95% CI 0.02-0.6) after interventions began. The risk for secondary infections was 90% lower for patients admitted to an ETU (risk ratio 0.1, 95% CI 0.04-0.3) than for those who died in the community. The case-fatality rate was 68% (95% CI 60-74), and ETU admission was associated with a 50% reduction in death (hazard ratio 0.5, 95% CI 0.4-0.8). Isolation and treatment of Ebola patients had the dual benefit of interrupting community transmission and improving survival.

Rapid response to Ebola outbreaks in remote areas - Liberia, July-November 2014.

West Africa is experiencing its first epidemic of Ebola virus disease (Ebola). As of February 9, Liberia has reported 8,864 Ebola cases, of which 3,147 were laboratory-confirmed. Beginning in August 2014, the Liberia Ministry of Health and Social Welfare (MOHSW), supported by CDC, the World Health Organization (WHO), and others, began systematically investigating and responding to Ebola outbreaks in remote areas. Because many of these areas lacked mobile telephone service, easy road access, and basic infrastructure, flexible and targeted interventions often were required. Development of a national strategy for the Rapid Isolation and Treatment of Ebola (RITE) began in early October. The strategy focuses on enhancing capacity of county health teams (CHT) to investigate outbreaks in remote areas and lead tailored responses through effective and efficient coordination of technical and operational assistance from the MOHSW central level and international partners. To measure improvements in response indicators and outcomes over time, data from investigations of 12 of 15 outbreaks in remote areas with illness onset dates of index cases during July 16-November 20, 2014, were analyzed. The times to initial outbreak alerts and durations of the outbreaks declined over that period while the proportions of patients who were isolated and treated increased. At the same time, the case-fatality rate in each outbreak declined. Implementation of strategies, such as RITE, to rapidly respond to rural outbreaks of Ebola through coordinated and tailored responses can successfully reduce transmission and improve outcomes.

Elective medical and veterinary student rotations in applied epidemiology at the Centers for Disease Control and Prevention, 1975-2012.

CONTEXT: Health professionals who can bridge the gap between public health and clinical medicine are needed. The Centers for Disease Control and Prevention Epidemiology Elective Program (EEP) offers a rotation in public health for medical and veterinary students that provides an introduction to public health, preventive medicine, and the principles of applied epidemiology through real-world, hands-on experiential learning. OBJECTIVE: To describe EEP, including its role in the integration of medicine and public health, and career paths for those who subsequently have enrolled in the Epidemic Intelligence Service (EIS). DESIGN: A review of files of EEP students participating June 1975 to May 2012 and EIS files to determine which EEP participants subsequently enrolled in EIS and their current employment. RESULTS: During January 1975 to May 2012, a total of 1548 students participated in EEP. Six hundred thirty-eight (41.2%) EEP students participated in field-based epidemic-assistance investigations. Among 187 students completing an exit survey implemented during 2007, a total of 175 (93.6%) indicated an increased understanding or competence in applied epidemiology and public health, and 98 (52.4%) indicated that they would apply to EIS. Among the 165 (10.7%) who enrolled in and completed EIS by July 2012, 106 (64.2%) are currently employed in public health and 65 (39.4%) are board-certified in preventive medicine, board eligible, or currently enrolled in the Centers for Disease Control and Prevention Preventive Medicine Residency or Fellowship. CONCLUSIONS: The CDC Epidemiology Elective Program offers opportunities for medical and veterinary students to participate in real-world public health learning activities. The Epidemiology Elective Program provides increased understanding and competence in applied epidemiology, provides students with opportunities to learn about population health and health care problems and the tools to help them bridge the gap between clinical medicine and public health, and serves as a source for EIS and other public health-related training and careers.

Characterization of the federal workforce at the Centers for Disease Control and Prevention.

CONTEXT: Studies characterizing the public health workforce are needed for providing the evidence on which to base planning and policy decision making both for workforce staffing and for addressing uncertainties regarding organizing, financing, and delivering effective public health strategies. The Centers for Disease Control and Prevention (CDC) is leading the enumeration of the US public health workforce with an initial focus on CDC as the leading federal public health agency. OBJECTIVE: To characterize CDC's workforce, assess retirement eligibility and potential staff losses, and contribute these data as the federal component of national enumeration efforts. METHODS: Two sources containing data related to CDC employees were analyzed. CDC's workforce was characterized by using data elements recommended for public health workforce enumeration and categorized the occupations of CDC staff into 15 standard occupational classifications by using position titles. Retirement eligibility and potential staffing losses were analyzed by using 1-, 3-, and 5-year increments and compared these data across occupational classifications to determine the future impact of potential loss of workforce. RESULTS: As of the first quarter of calendar year 2012, a total 11 223 persons were working at CDC; 10 316 were civil servants, and 907 were Commissioned Corps officers. Women accounted for 61%. Public health managers, laboratory workers, and administrative-clerical staff comprised the top 3 most common occupational classifications among CDC staff. Sixteen percent of the workforce was eligible to retire by December 2012, and more than 30% will be eligible to retire by December 2017. CONCLUSIONS: This study represents the first characterization of CDC's workforce and provides an evidence base upon which to develop policies for ensuring an ongoing ability to fulfill the CDC mission of maintaining and strengthening the public's health. Establishing a system for continually monitoring the public health workforce will support future efforts in understanding workforce shortages, capacity, and effectiveness; projecting trends; and initiating policies.

Transmission of 2009 pandemic influenza A (H1N1) at a Public University--Delaware, April-May 2009.

We investigated the first documented university outbreak of the 2009 pandemic influenza A(H1N1) to identify factors associated with disease transmission. An online student survey was administered to assess risk factors for influenza-like illness (ILI), defined as fever with cough or sore throat. Of 6049 survey respondents, 567 (9%) experienced ILI during 27 March to 9 May 2009. Studying with an ill contact (adjusted risk ratios [aRR], 1.29; 95% confidence intervals [CI], 1.01-1.65) and caring for an ill contact (aRR, 1.51; CI, 1.14-2.01) any time during 27 March to 9 May were predictors for ILI. Respondents reported that 680 (6%) of 11,411 housemates were ill; living with an ill housemate was a predictor for ILI (RR, 1.38; CI, 1.04-1.83). Close contact or prolonged exposures to ill persons were likely associated with experiencing ILI. Self-protective measures should be promoted in university populations to mitigate transmission.

Non-pharmaceutical interventions during an outbreak of 2009 pandemic influenza A (H1N1) virus infection at a large public university, April-May 2009.

Nonpharmaceutical interventions (NPIs), such as home isolation, social distancing, and infection control measures, are recommended by public health agencies as strategies to mitigate transmission during influenza pandemics. However, NPI implementation has rarely been studied in large populations. During an outbreak of 2009 Pandemic Influenza A (H1N1) virus infection at a large public university in April 2009, an online survey was conducted among students, faculty, and staff to assess knowledge of and adherence to university-recommended NPI. Although 3924 (65%) of 6049 student respondents and 1057 (74%) of 1401 faculty respondents reported increased use of self-protective NPI, such as hand washing, only 27 (6.4%) of 423 students and 5 (8.6%) of 58 faculty with acute respiratory infection (ARI) reported staying home while ill. Nearly one-half (46%) of student respondents, including 44.7% of those with ARI, attended social events. Results indicate a need for efforts to increase compliance with home isolation and social distancing measures.

Notes from the field: outbreak of 2009 pandemic influenza A (H1N1) virus at a large public university in Delaware, April-May 2009.

BACKGROUND: In late April 2009, the first documented 2009 pandemic influenza A (pH1N1) virus infection outbreak in a university setting occurred in Delaware, with large numbers of students presenting with respiratory illness. At the time of this investigation, little was known about the severity of illness, effectiveness of the vaccine, or transmission factors of pH1N1 virus infection. We characterized illness, determined the impact of this outbreak, and examined factors associated with transmission. METHODS: Health clinic records were reviewed. An online survey was administered to all students, staff, and faculty to assess influenza-like illness (ILI), defined as documented or subjective fever with cough or sore throat. RESULTS: From 26 April-2 May 2009, the health clinic experienced a sharp increase in visits for respiratory illness, with 1080 such visits among a total of 1430 student visits, and then a return to baseline visit levels within 2 weeks. More than 500 courses of oseltamivir were distributed, and 24 cases of influenza A (pH1N1) virus infection were confirmed. Of 29,000 university students and faculty/staff, 7450 (30%) responded to the survey. ILI was reported by 604 (10%) of the students and 73 (5%) of the faculty/staff. Travel to Mexico (relative risk [RR], 2.9; 95% confidence interval [CI], 1.8-4.7) and participation in "Greek Week" activities (RR, 2.2; 95% CI, 1.8-2.8) were associated with ILI. Recipients of the 2008-2009 seasonal influenza vaccine had the same risk of ILI as nonrecipients (RR, 1.0). Four (3%) of the students with ILI were hospitalized; there were no deaths. CONCLUSIONS: pH1N1 spread rapidly through the University of Delaware community with a surge in illness over a 2-week period. Although initial cases appear to be associated with travel to Mexico, a rapid increase in cases was likely facilitated by increased student interactions during Greek Week. No protective effect from receiving seasonal influenza vaccine was identified. Although severe illness was rare, the outbreak caused a substantial burden and challenge to the university health care system. Preparedness efforts in universities and similar settings should include enhancing health care surge capacity.

How should immunization rates be measured in the office setting? A study from PROS and NMA PedsNet.

The aim of the study was to compare the validity and reliability of 2 sampling methods for measuring immunization rates to a reference standard in a national sample of pediatric office practices. The consecutive method involved patients seen consecutively in the office for any reason; the random record was a random selection of medical records; and the reference standard active method, data of a randomly selected subgroup of children in the random record survey were supplemented with information from a telephone interview. The consecutive method of assessing immunization rates results in rates that are, on average, higher and closer to the reference standard, but also more variable. The random record method rates are lower and further from the study reference standard compared with the consecutive method, but more precise. The consecutive method for measuring practice immunization rates could be a useful quality improvement tool as practices seek to improve immunization delivery and quality of care. It is inexpensive, simple, and easy to implement.