Epidemic Intelligence Service Program

Anderson, United States

Epidemic Intelligence Service Program

Anderson, United States
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Francois Watkins L.K.,Epidemic Intelligence Service Program | Toews K.-A.E.,Centers for Disease Control and Prevention | Harris A.M.,Centers for Disease Control and Prevention | Lucas C.E.,Centers for Disease Control and Prevention | And 3 more authors.
Infection Control and Hospital Epidemiology | Year: 2017

OBJECTIVES To define the scope of an outbreak of Legionnaires' disease (LD), to identify the source, and to stop transmission. DESIGN AND SETTING Epidemiologic investigation of an LD outbreak among patients and a visitor exposed to a newly constructed hematology-oncology unit. METHODS An LD case was defined as radiographically confirmed pneumonia in a person with positive urinary antigen testing and/or respiratory culture for Legionella and exposure to the hematology-oncology unit after February 20, 2014. Cases were classified as definitely or probably healthcare-associated based on whether they were exposed to the unit for all or part of the incubation period (2-10 days). We conducted an environmental assessment and collected water samples for culture. Clinical and environmental isolates were compared by monoclonal antibody (MAb) and sequence-based typing. RESULTS Over a 12-week period, 10 cases were identified, including 6 definite and 4 probable cases. Environmental sampling revealed Legionella pneumophila serogroup 1 (Lp1) in the potable water at 9 of 10 unit sites (90%), including all patient rooms tested. The 3 clinical isolates were identical to environmental isolates from the unit (MAb2-positive, sequence type ST36). No cases occurred with exposure after the implementation of water restrictions followed by point-of-use filters. CONCLUSIONS Contamination of the unit's potable water system with Lp1 strain ST36 was the likely source of this outbreak. Healthcare providers should routinely test patients who develop pneumonia at least 2 days after hospital admission for LD. A single case of LD that is definitely healthcare associated should prompt a full investigation. © 2016 by The Society for Healthcare Epidemiology of America. All rights reserved This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (.


Cohen C.,South African National Institute for Communicable Diseases | Wu H.M.,Epidemic Intelligence Service Program | Wu H.M.,Centers for Disease Control and Prevention | Martin S.,Centers for Disease Control and Prevention | And 8 more authors.
AIDS | Year: 2010

OBJECTIVES: We aimed to compare the incidence of meningococcal disease amongst HIV-infected and uninfected individuals and to evaluate whether HIV is a risk factor for mortality and bacteremia amongst patients with meningococcal disease. DESIGN: Cohort surveillance study. METHODS: We conducted laboratory-based surveillance for meningococcal disease in Gauteng Province, South Africa. HIV status and outcome data were obtained at sentinel sites. Incidence in HIV-infected and uninfected persons was calculated assuming a similar age-specific HIV prevalence in tested and untested individuals. Risk factors for death and bacteremia (as compared with meningitis) were evaluated using multivariable logistic regression. RESULTS: From 2003 to 2007, 1336 meningococcal cases were reported. Of 504 patients at sentinel sites with known outcome, 308 (61%) had HIV serostatus data. HIV prevalence amongst cases of meningococcal disease was higher than the population HIV prevalence in all age groups. The incidence of meningococcal disease in HIV-infected individuals was elevated in all age groups with an age-adjusted relative risk of 11.3 [95% confidence interval (CI) 8.9-14.3, P < 0.001]. The case-fatality ratio (CFR) was 20% (27/138) amongst HIV-infected and 11% (18/170) amongst HIV-uninfected individuals [odds ratio (OR) 2.1, 95% CI 1.1-3.9]. On multivariable analysis, CFR was greater amongst patients with bacteremia (35%, 29/82) compared with meningitis (7%, 16/226) (OR 7.8, 95% CI 3.4-17.7). HIV infection was associated with increased odds of bacteremia (OR 2.7, 95% CI 1.5-5.0). CONCLUSION: HIV-infected individuals may be at increased risk of meningococcal disease. The increased CFR in HIV-infected patients may be explained by their increased odds of bacteremia compared to meningitis. © 2010 Wolters Kluwer Health | Lippincott Williams & Wilkins.


Forrester J.D.,Epidemic Intelligence Service Program | Forrester J.D.,Centers for Disease Control and Prevention | Brett M.,Epidemic Intelligence Service Program | Brett M.,Centers for Disease Control and Prevention | And 3 more authors.
Ticks and Tick-borne Diseases | Year: 2015

Lyme disease is the most common vector-borne disease in the U.S. Surveillance data from four states with a low-incidence of Lyme disease was evaluated. Most cases occurred after travel to high-incidence Lyme disease areas. Cases without travel-related exposure in low-incidence states differed epidemiologically; misdiagnosis may be common in these areas. © 2015 Published by Elsevier GmbH.


Gibney K.B.,Epidemic Intelligence Service Program | Edupuganti S.,Epidemic Intelligence Service Program | Panella A.J.,Epidemic Intelligence Service Program | Kosoy O.I.,Epidemic Intelligence Service Program | And 5 more authors.
American Journal of Tropical Medicine and Hygiene | Year: 2012

The duration of anti-yellow fever (YF) virus immunoglobulin M (IgM) antibodies following YF vaccination is unknown, making it difficult to interpret positive IgM antibody results in previously vaccinated travelers. We evaluated the frequency and predictors of YF IgM antibody positivity 3-4 years following YF vaccination. Twenty-nine (73%) of 40 participants had YF IgM antibodies 3-4 years postvaccination. No demographic or exposure variables were predictive of YF IgM positivity. However, persons who were YF IgM positive at 3-4 years postvaccination had earlier onset viremia and higher neutralizing antibody geometric mean titers at 1 month and 3-4 years postvaccination compared with persons who were YF IgM negative. Detection of YF IgM antibodies several years postvaccination might reflect remote YF vaccination rather than recent YF vaccination or YF virus infection. Copyright © 2012 by The American Society of Tropical Medicine and Hygiene.

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