Roni Rosenfeld – MIDAS

Roni Rosenfeld

Professor

Education

Affiliations

Machine Learning Department, School of Computer Science, Carnegie Mellon University

Projects

MODELS & FORECASTS, COMPUTATIONAL MODELS OF INFECTIOUS DISEASE THREATS

National Institutes of Health, National Institute of General Medical Sciences
People: Roni Rosenfeld, Donald Burke
2009 – 2020

DELPHI INFLUENZA FORECASTING CENTER OF EXCELLENCE

Centers for Disease Control Prevention, National Center For Immunization And Respiratory Diseases
People: Roni Rosenfeld, Willem van Panhuis
2019 – 2024

COMPUTATIONAL MODELS OF INFECTIOUS DISEASE THREATS

National Institutes of Health, National Institute of General Medical Sciences
People: Roni Rosenfeld, Derek Cummings, Mark Roberts, Donald Burke, Hasan Guclu, Jeanine Buchanich, Willem van Panhuis
2009 – 2020

Papers

Reich NG, Brooks LC, Fox SJ, Kandula S, McGowan CJ, Moore E, Osthus D, Ray EL, Tushar A, Yamana TK, Biggerstaff M, Johansson MA, Rosenfeld R, Shaman J. (2019). A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States. Proceedings of the National Academy of Sciences of the United States of America, 116(8)

Reich NG, Osthus D, Ray EL, Yamana TK, Biggerstaff M, Johansson MA, Rosenfeld R, Shaman J. (2019). Reply to Bracher: Scoring probabilistic forecasts to maximize public health interpretability. Proceedings of the National Academy of Sciences of the United States of America, 116(42)

Reich NG, McGowan CJ, Yamana TK, Tushar A, Ray EL, Osthus D, Kandula S, Brooks LC, Crawford-Crudell W, Gibson GC, Moore E, Silva R, Biggerstaff M, Johansson MA, Rosenfeld R, Shaman J. (2019). Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S. PLoS computational biology, 15(11)

Biggerstaff M, Johansson M, Alper D, Brooks LC, Chakraborty P, Farrow DC, Hyun S, Kandula S, McGowan C, Ramakrishnan N, Rosenfeld R, Shaman J, Tibshirani R, Tibshirani RJ, Vespignani A, Yang W, Zhang Q, Reed C. (2018). Results from the second year of a collaborative effort to forecast influenza seasons in the United States. Epidemics, (24)

Brooks LC, Farrow DC, Hyun S, Tibshirani RJ, Rosenfeld R. (2018). Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions. PLoS computational biology, 14(6)

Biggerstaff M, Alper D, Dredze M, Fox S, Fung IC, Hickmann KS, Lewis B, Rosenfeld R, Shaman J, Tsou MH, Velardi P, Vespignani A, Finelli L, . (2016). Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge. BMC infectious diseases, (16)

Brooks LC, Farrow DC, Hyun S, Tibshirani RJ, Rosenfeld R. (2015). Flexible Modeling of Epidemics with an Empirical Bayes Framework. PLoS computational biology, 11(8)

van Panhuis WG, Hyun S, Blaney K, Marques ET Jr., Coelho GE, Siqueira JB Jr., Tibshirani R, da Silva JB Jr., Rosenfeld R. (2014). Risk of dengue for tourists and teams during the World Cup 2014 in Brazil. PLoS neglected tropical diseases, 8(7)

Grefenstette JJ, Brown ST, Rosenfeld R, DePasse J, Stone NT, Cooley PC, Wheaton WD, Fyshe A, Galloway DD, Sriram A, Guclu H, Abraham T, Burke DS. (2013). FRED (a Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations. BMC Public Health, (13)

Lee BY, Brown ST, Cooley P, Grefenstette JJ, Zimmerman RK, Zimmer SM, Potter MA, Rosenfeld R, Wheaton WD, Wiringa AE, Bacon KM, Burke DS. (2010). Vaccination deep into a pandemic wave potential mechanisms for a "third wave" and the impact of vaccination. American journal of preventive medicine, 39(5)