Charles J. Vukotich
University of Pittsburgh
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Featured researches published by Charles J. Vukotich.
Clinical Infectious Diseases | 2009
Timothy M. Uyeki; Ramakrishna Prasad; Charles J. Vukotich; Samuel Stebbins; Charles R. Rinaldo; Yu Hui Ferng; Stephen S. Morse; Elaine Larson; Allison E. Aiello; Brian T. Davis; Arnold S. Monto
The QuickVue Influenza A+B Test (Quidel) was used to test nasal swab specimens obtained from persons with influenza-like illness in 3 different populations. Compared with reverse-transcriptase polymerase chain reaction, the test sensitivity was low for all populations (median, 27%; range, 19%-32%), whereas the specificity was high (median, 97%; range, 96%-99.6%).
American Journal of Infection Control | 2010
Allison E. Aiello; Rebecca M. Coulborn; Tomás J Aragón; Michael G. Baker; Barri Burrus; Benjamin J. Cowling; Alasdair R. Duncan; Wayne Enanoria; M. Patricia Fabian; Yu-hui Ferng; Elaine Larson; Gabriel M. Leung; Howard Markel; Donald K. Milton; Arnold S. Monto; Stephen S. Morse; J. Alexander Navarro; Sarah Y. Park; Patricia Priest; Samuel Stebbins; Alexandra Minna Stern; Monica Uddin; Scott Wetterhall; Charles J. Vukotich
In June 2006, the Centers for Disease Control and Prevention released a request for applications to identify, improve, and evaluate the effectiveness of nonpharmaceutical interventions (NPIs)-strategies other than vaccines and antiviral medications-to mitigate the spread of pandemic influenza within communities and across international borders (RFA-CI06-010). These studies have provided major contributions to seasonal and pandemic influenza knowledge. Nonetheless, key concerns were identified related to the acceptability and protective efficacy of NPIs. Large-scale intervention studies conducted over multiple influenza epidemics, as well as smaller studies in controlled laboratory settings, are needed to address the gaps in the research on transmission and mitigation of influenza in the community setting. The current novel influenza A (H1N1) pandemic underscores the importance of influenza research.
Epidemics | 2013
Andrew S. Azman; James H. Stark; Benjamin M. Althouse; Charles J. Vukotich; Samuel Stebbins; Donald S. Burke; Derek A. T. Cummings
The effect of school-based non-pharmaceutical interventions (NPIs) on influenza A and B transmission in childrens households has not been estimated in published literature. We use data from a large school-based cluster randomized trial of improved hand and respiratory hygiene measures to explore the secondary transmission of influenza A and B in households of laboratory confirmed influenza cases. Data were taken from the Pittsburgh Influenza Prevention Project, a cluster-randomized trial of NPIs conducted in ten Pittsburgh, PA elementary schools during the 2007-2008 influenza season. We estimated two measures of influenza transmissibility in households; the susceptible infectious transmission probability, using variants of the Reed-Frost chain binomial model, and the secondary attack rate. We identified predictors of ILI using a logistic generalized estimating equation model. We estimate the secondary attack rates in intervention households to be 0.26 (95% confidence interval (CI) 0.19-0.34) compared to 0.30 (95% CI 0.23-0.38) in control households. Race and age were significant risk factors for secondary ILI acquisition in this study. We found no significant differences between the transmission probabilities for infectious individuals in intervention (0.19, 95% CI 0.14-0.25), and control households (0.22, 95% CI 0.16-0.29). Similarly, estimates for secondary attack rates and transmission probabilities for households with confirmed influenza A (0.31 and 0.22) were not significantly different from estimates from households with confirmed influenza B (0.25 and 0.20). While influenza A and B are thought to have different transmission characteristics, we find no significant differences in their transmissibility within households. Though our results suggest a potential effect, we found no statistically significant effect of school-based non-pharmaceutical interventions on transmission in symptomatic childrens homes.
American Journal of Preventive Medicine | 2011
Samuel Stebbins; Jason L. Sanders; Charles J. Vukotich; John F. Mahoney
Calls for more public health education for medical students date back at least 150 years. In recent years, medical schools have increased their required coursework in core public health topics such as epidemiology, biostatistics, and behavioral determinants of health. Some schools have created more in-depth alternatives, including combined or concurrent masters degrees; MD/PhD programs with a public health track; certificates in public health; or complete re-envisioning of the school into an integrated medical and public health institution. In 2009 the University of Pittsburgh School of Medicine began a Public Health Area of Concentration (AOC) that provides an optional, integrated curriculum that includes key elements of research, practice, and leadership. The AOC is a partnership between two schools at the University of Pittsburgh--Medicine and Public Health--and the local county health department. The result is a program that provides mentorship and training over 4 years of education designed to mend the long historical divide between the skills and constituencies of individual and population health. In addition, the AOC is relatively easy and inexpensive to implement and is modular in nature. The Public Health AOC is a simple model for incorporating many key aspects of public health into medical education and can be duplicated by any university that is willing to create partnerships and work across boundaries.
PLOS ONE | 2016
Hasan Guclu; Jonathan M. Read; Charles J. Vukotich; David Galloway; Hongjiang Gao; Jeanette J. Rainey; Amra Uzicanin; Shanta M. Zimmer; Derek A. T. Cummings
Students attending schools play an important role in the transmission of influenza. In this study, we present a social network analysis of contacts among 1,828 students in eight different schools in urban and suburban areas in and near Pittsburgh, Pennsylvania, United States of America, including elementary, elementary-middle, middle, and high schools. We collected social contact information of students who wore wireless sensor devices that regularly recorded other devices if they are within a distance of 3 meters. We analyzed these networks to identify patterns of proximal student interactions in different classes and grades, to describe community structure within the schools, and to assess the impact of the physical environment of schools on proximal contacts. In the elementary and middle schools, we observed a high number of intra-grade and intra-classroom contacts and a relatively low number of inter-grade contacts. However, in high schools, contact networks were well connected and mixed across grades. High modularity of lower grades suggests that assumptions of homogeneous mixing in epidemic models may be inappropriate; whereas lower modularity in high schools suggests that homogenous mixing assumptions may be more acceptable in these settings. The results suggest that interventions targeting subsets of classrooms may work better in elementary schools than high schools. Our work presents quantitative measures of age-specific, school-based contacts that can be used as the basis for constructing models of the transmission of infections in schools.
Influenza and Other Respiratory Viruses | 2011
Samuel Stebbins; James H. Stark; Ramakrishna Prasad; William W. Thompson; Kiren Mitruka; Charles R. Rinaldo; Charles J. Vukotich; Derek A. T. Cummings
Please cite this paper as: Stebbins et al. (2011) Sensitivity and specificity of rapid influenza testing of children in a community setting. Influenza and Other Respiratory Viruses 5(2), 104–109.
Journal of Public Health Management and Practice | 2009
Samuel Stebbins; Julie S. Downs; Charles J. Vukotich
Journal of Public Health Management and Practice | 2010
Samuel Stebbins; James H. Stark; Charles J. Vukotich
Emerging Infectious Diseases | 2010
Charles J. Vukotich; Rebecca M. Coulborn; Tomás J Aragón; Michael G. Baker; Barri Burrus; Allison E. Aiello; Benjamin J. Cowling; Alasdair R. Duncan; Wayne Enanoria; M. Patricia Fabian; Yu Hui Ferng; Elaine Larson; Gabriel M. Leung; Howard Markel; Donald K. Milton; Arnold S. Monto; Stephen S. Morse; J. Alexander Navarro; Sarah Y. Park; Patricia Priest; Samuel Stebbins; Alexandra Minna Stern; Monica Uddin; Scott Wetterhall
Journal of Public Health Management and Practice | 2011
Samuel Stebbins; Julie S. Downs; Charles J. Vukotich