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Sen Pei

Showing results (1-10 of 111) with videos related to

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Emerging Infectious Diseases|June 22, 2023
Challenges in Forecasting Antimicrobial Resistance (Response)Sen Pei
Plos Computational Biology|October 22, 2020
Aggregating forecasts of multiple respiratory pathogens supports more accurate forecasting of influenza-like illnessSen Pei, Jeffrey Shaman
Chaos (Woodbury, N.Y.)|February 3, 2018
Dynamic range maximization in excitable networksRenquan Zhang, Sen Pei
PNAS Nexus|August 8, 2024
Predictability of human mobility during the COVID-19 pandemic in the United StatesMichal Hajlasz, Sen Pei
Nature Communications|October 15, 2017
Counteracting structural errors in ensemble forecast of influenza outbreaksSen Pei, Jeffrey Shaman
Proceedings 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 Shaman
The 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 Pei
Plos Computational Biology|August 7, 2023
Ensemble inference of unobserved infections in networks using partial observationsRenquan Zhang, Jilei Tai, Sen Pei
Plos One|May 8, 2015
Detecting the influence of spreading in social networks with excitable sensor networksSen Pei, Shaoting Tang, Zhiming Zheng
Medrxiv : 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 Shaman
Pageof 12

Showing results (1-10 of 111) with videos related to

Sort By:
Pageof 12
Emerging Infectious Diseases|June 22, 2023
Challenges in Forecasting Antimicrobial Resistance (Response)Sen Pei
Plos Computational Biology|October 22, 2020
Aggregating forecasts of multiple respiratory pathogens supports more accurate forecasting of influenza-like illnessSen Pei, Jeffrey Shaman
Chaos (Woodbury, N.Y.)|February 3, 2018
Dynamic range maximization in excitable networksRenquan Zhang, Sen Pei
PNAS Nexus|August 8, 2024
Predictability of human mobility during the COVID-19 pandemic in the United StatesMichal Hajlasz, Sen Pei
Nature Communications|October 15, 2017
Counteracting structural errors in ensemble forecast of influenza outbreaksSen Pei, Jeffrey Shaman
Proceedings 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 Shaman
The 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 Pei
Plos Computational Biology|August 7, 2023
Ensemble inference of unobserved infections in networks using partial observationsRenquan Zhang, Jilei Tai, Sen Pei
Plos One|May 8, 2015
Detecting the influence of spreading in social networks with excitable sensor networksSen Pei, Shaoting Tang, Zhiming Zheng
Medrxiv : 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 Shaman
Pageof 12