Alessandro Vespignani
Affiliations: | Physics | Indiana University, Bloomington, Bloomington, IN, United States |
Area:
General Biophysics, Public Health, EpidemiologyGoogle:
"Alessandro Vespignani"Cross-listing: PHTree
Parents
Sign in to add mentor| Luciano Pietronero | grad student | Sapienza Università di Roma (Physics Tree) |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Brett T, Ajelli M, Liu QH, et al. (2020) Detecting critical slowing down in high-dimensional epidemiological systems. Plos Computational Biology. 16: e1007679 |
| Chinazzi M, Davis JT, Ajelli M, et al. (2020) The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science (New York, N.Y.) |
| Davis JT, Perra N, Zhang Q, et al. (2020) Phase transitions in information spreading on structured populations Nature Physics. 16: 590-596 |
| Viboud C, Vespignani A. (2019) The future of influenza forecasts Proceedings of the National Academy of Sciences of the United States of America. 116: 2802-2804 |
| Liu Q, Ajelli M, Aleta A, et al. (2018) Measurability of the epidemic reproduction number in data-driven contact networks Proceedings of the National Academy of Sciences of the United States of America. 115: 12680-12685 |
| Vespignani A. (2018) Twenty years of network science. Nature. 558: 528-529 |
| Massaro E, Ganin A, Perra N, et al. (2018) Resilience management during large-scale epidemic outbreaks. Scientific Reports. 8: 1859-1859 |
| Zhang Q, Karsai M, Vespignani A. (2018) Link transmission centrality in large-scale social networks Epj Data Science. 7: 1-16 |
| Viboud C, Sun K, Gaffey R, et al. (2017) The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt. Epidemics |
| Ajelli M, Zhang Q, Sun K, et al. (2017) The RAPIDD Ebola forecasting challenge: Model description and synthetic data generation. Epidemics |