Dr. Sen Pei studies transmission dynamics of infectious disease. He works on mathematical modeling, statistical inference and real-time forecast of seasonal and emerging infectious diseases, at both population and individual levels. Using dynamical models informed by empirical data, his recent studies involve the development of real-time forecasting systems to predict the spread of influenza, dengue and COVID-19, as well as statistical methods to infer nosocomial transmission and asymptomatic carriage of antibiotic-resistant agents in healthcare systems. In addition, he investigates how to use infectious disease models to improve disease surveillance and control.
Areas of Expertise
Pei, S., Teng, X., Lewis, P., Shaman, J. Optimizing respiratory virus surveillance networks using uncertainty propagation. Nature Communications 12, 222 (2021).
Xu, X.-K.*, Wang, L.*, Pei, S.* Multiscale mobility explains differential associations between the gross domestic product and COVID-19 transmission in Chinese cities. Journal of Travel Medicine 28, taaa236 (2021). (* Equal contribution)
Pei, S., Kandula, S., Shaman, J. Differential effects of intervention timing on COVID-19 spread in the United States. Science Advances In Press (2020).
Zhou, B.*, Pei, S.*, Muchnik, L., Meng, X., Xu, X., Sela, A., Havlin, S., Stanley, H. E. Realistic modelling of information spread using peer-to-peer diffusion patterns. Nature Human Behaviour, In Press (2020). (* Equal contribution) DOI:10.1038/s41562-020-00945-1
Li, R.*, Pei, S.*, Chen, B.*, Song, Y., Zhang, T., Yang, W., Shaman, J. Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV2). Science 368, 489-493 (2020). (* Equal contribution)
Pei, S., Morone, F., Liljeros, F., Makse, H. A., Shaman, J. Inference and control of the nosocomial transmission of Methicillin-resistant Staphylococcus aureus. eLife 7, e40977 (2018).
Pei, S., Kandula, S., Yang, W., Shaman, J. Forecasting the spatial transmission of influenza in the United States. Proceedings of the National Academy of Sciences of the United States of America 115, 2752-2757 (2018).
Pei, S., Shaman, J. Counteracting structural errors in ensemble forecast of influenza outbreaks. Nature Communications 8, 925 (2017).
Pei, S., Muchnik, L., Andrade Jr, J. S., Zheng, Z., Makse, H. A. Searching for superspreaders of information in real-world social media. Scientific Reports 4, 5547 (2014).