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Nature Communications|January 12, 2021
Optimizing respiratory virus surveillance networks using uncertainty propagationSen Pei, Xian Teng, Paul Lewis, et al.Scientific Reports|March 29, 2017
Efficient collective influence maximization in cascading processes with first-order transitionsSen Pei, Xian Teng, Jeffrey Shaman, et al.Plos Computational Biology|October 22, 2020
Aggregating forecasts of multiple respiratory pathogens supports more accurate forecasting of influenza-like illnessSen Pei, Jeffrey ShamanNature Communications|October 15, 2017
Counteracting structural errors in ensemble forecast of influenza outbreaksSen Pei, Jeffrey ShamanMedrxiv : the Preprint Server for Health Sciences|June 9, 2020
Differential Effects of Intervention Timing on COVID-19 Spread in the United StatesSen Pei, Sasikiran Kandula, Jeffrey ShamanProceedings of the National Academy of Sciences of the United States of America|September 8, 2021
Identifying asymptomatic spreaders of antimicrobial-resistant pathogens in hospital settingsSen Pei, Fredrik Liljeros, Jeffrey ShamanThe Journal of Infectious Diseases|September 22, 2021
Quantifying the Impact of COVID-19 Nonpharmaceutical Interventions on Influenza Transmission in the United StatesYuchen Qi, Jeffrey Shaman, Sen PeiScience Advances|November 7, 2020
Differential effects of intervention timing on COVID-19 spread in the United StatesSen Pei, Sasikiran Kandula, Jeffrey ShamanJournal of the Royal Society, Interface|June 13, 2019
Improved forecasts of influenza-associated hospitalization rates with Google Search TrendsSasikiran Kandula, Sen Pei, Jeffrey ShamanPlos Computational Biology|March 1, 2019
Predictability in process-based ensemble forecast of influenzaSen Pei, Mark A Cane, Jeffrey ShamanPageof 32