Recent Publications:
- Lofgren, E.T. et al. 2014. Mathematical Models: A Key Tool for Ebola Outbreak Response. Proceedings of the National Academy of Sciences. in press.
- Halloran, M.E. et al. 2014. Ebola: Mobility data. Science, 346(6208): 433
- Rivers, C.M., E.T. Lofgren, M.V. Marathe, S.G. Eubank, B.L. Lewis. 2014. Modeling the Impact of Interventions on an Epidemic of Ebola in Sierra Leone and Liberia. PLoS Currents Outbreaks.
- Lofgren, E.T., S.R. Cole, D.J. Weber, D.J. Anderson, R.W. Moehring. 2014. Estimating all-cause mortality and length of stay in incident, healthcare facility-associated Clostridium difficile cases using parametric mixture models. Epidemiology, 25(4): 570-575
- Lofgren, E.T., R.W. Moehring, D.J. Weber, D.J. Anderson, N.H. Fefferman. 2014. A Mathematical Model to Evaluate the Routine Use of Fecal Transplantation to Prevent Incident and Recurrent Clostridium difficile Infection. Infection Control and Hospital Epidemiology, 35(1): 18-27
- Moehring,R.W., E.T. Lofgren and D.J. Anderson. 2013. Impact of Change to Molecular Testing for Clostridium difficile Infection on Healthcare Facility-Associated Incidence Rates. Infection Control and Hospital Epidemiology, 34(10): 1055-1061
- Lofgren, E.T. 2012. Visualizing Results from Transmission Models: A Case Against ‘Confidence Intervals’. Epidemiology, 23(5): 738-741
- Chu, H., E.T. Lofgren, M.E. Halloran, P.F. Juan, M. Hudgens and S.R. Cole. 2012. Performance of rapid influenza H1N1 diagnostic tests: a meta-analysis. Influenza and Other Respiratory Viruses, 6(2): 80-86.
2010 and earlier:
- Lofgren, E.T., J.B. Wenger, N.H. Fefferman, et al. 2010. Disproportional Effects in Populations of Concern for Pandemic Influenza: Insights from Seasonal Epidemics in Wisconsin, 1967-2004. Influenza and Other Respiratory Pathogens, 4(4): 205-12.
- Lofgren, E.T., J. Rogers, M. Senese, et al. 2008. Pandemic Preparedness Strategies for School Systems: Is Closure Really the Only Way? Annales Zoologici Fennici, 44(6): 449-458.
- Lofgren, E.T. and N.H. Fefferman. 2007. The Untapped Potential of Virtual Game Worlds to Shed Light on Real World Epidemics. The Lancet Infectious Diseases, 7(9):625-629.
- Lofgren, E.T., N.H. Fefferman, Y.N. Naumov, et al. 2007. Influenza Seasonality: Underlying Causes and Modeling Theories. Journal of Virology, 81(11):5429-5436.
- Lofgren, E.T., N.H. Fefferman, M. Doshi et al. 2007. Assessing Seasonal Variation in Multisource Surveillance Data: Annual Harmonic Regression. Lecture Notes in Computer Science. BioSurveillance 2007. Eds D. Zeng et al. 4506:114-123.