Publications
Selected Publications
You can find the full publication list on my Google Scholar profile.
Zhang, R., Tai, J., Pei, S. Ensemble inference of unobserved infections in networks using partial observations. PLoS Computational Biology 19, e1011355 (2023).
Pei, S., Blumberg, S., Canscante Vega, J.,Robin, T., Zhang, Y., Medford, R.J., Adhikari, B., Shaman, J. Challenges in Forecasting Antimicrobial Resistance. Emerging Infectious Diseases 29, 679-685 (2023).
Pei, S., Kandula, S., Cascante Vega, J., Yang, W., Foerster, S., Thompson, C., Baumgartner, J., Ahuja, S.D., Blaney, K., Varma, J.K., Long, T., Shaman J. Contact tracing reveals community transmission of COVID-19 in New York City. Nature Communications 13, 6307 (2022).
Qi, Y., Shaman, J., Pei, S. Quantifying the impact of COVID-19 non-pharmaceutical interventions on influenza transmission in the United States. The Journal of Infectious Diseases 224, 1500-1508 (2021).
Pei, S., Yamana, T., Kandula, S., Galanti, M., Shaman, J. Burden and characteristics of COVID-19 in the United States during 2020. Nature 598, 338-341 (2021).
Pei, S., Liljeros, F., Shaman, J. Identifying asymptomatic spreaders of antimicrobial resistant pathogens in hospital settings. Proceedings of the National Academy of Sciences of the United States of America 118, e2111190118 (2021).
Ma, Y., Pei, S., Shaman, J., Dubrow, R., Chen, K. Role of meteorological factors in the transmission of SARS-CoV-2 in the United States. Nature Communications 12, 3602 (2021).
Pei, S., Teng, X., Lewis, P., Shaman, J. Optimizing respiratory virus surveillance networks using uncertainty propagation. Nature Communications 12, 222 (2021).
Pei, S.*, Dahl, K. A.*, Yamana, T., Licker, R., Shaman, J. Compound Risks of Hurricane Evacuation Amid the COVID-19 Pandemic in the United States. GeoHealth 4, e2020GH000319 (2020). (* Equal contribution)
Pei, S., Kandula, S., Shaman, J. Differential effects of intervention timing on COVID-19 spread in the United States. Science Advances 6, eabd6370 (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 4, 1198-1207 (2020). (* Equal contribution)
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-CoV-2). 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).