Matteo Chinazzi
Matteo Chinazzi
Senior Research Scientist, Northeastern University
Verified email at - Homepage
Cited by
Cited by
The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak
M Chinazzi, JT Davis, M Ajelli, C Gioannini, M Litvinova, S Merler, ...
Science 368 (6489), 395-400, 2020
Spread of Zika virus in the Americas
Q Zhang, K Sun, M Chinazzi, AP y Piontti, NE Dean, DP Rojas, S Merler, ...
Proceedings of the National Academy of Sciences 114 (22), E4334-E4343, 2017
Post-mortem examination of the international financial network
M Chinazzi, G Fagiolo, JA Reyes, S Schiavo
Journal of Economic Dynamics and Control 37 (8), 1692-1713, 2013
Systemic risk, contagion, and financial networks: A survey
M Chinazzi, G Fagiolo
Institute of Economics, Scuola Superiore Sant’Anna, Laboratory of Economics …, 2015
Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19
A Aleta, D Martín-Corral, AP y Piontti, M Ajelli, M Litvinova, M Chinazzi, ...
Nature Human Behaviour 4 (9), 964-971, 2020
Little Italy: an agent-based approach to the estimation of contact patterns-fitting predicted matrices to serological data
F Iozzi, F Trusiano, M Chinazzi, FC Billari, E Zagheni, S Merler, M Ajelli, ...
PLoS Comput Biol 6 (12), e1001021, 2010
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
D Liu, L Clemente, C Poirier, X Ding, M Chinazzi, JT Davis, A Vespignani, ...
arXiv preprint arXiv:2004.04019, 2020
Assessing changes in commuting and individual mobility in major metropolitan areas in the United States during the COVID-19 outbreak
B Klein, T LaRocky, S McCabey, L Torresy, F Privitera, B Lake, ...
Northeastern University. Network Science Institute. Retrieved from https …, 2020
Preliminary assessment of the International Spreading Risk Associated with the 2019 novel Coronavirus (2019-nCoV) outbreak in Wuhan City
M Chinazzi, JT Davis, C Gioannini, M Litvinova, A Pastore y Piontti, ...
Lab. Model. Biol. Soc.–Techn. Syst, 2020
Estimating the prevalence of COVID-19 in the United States: three complementary approaches
FS Lu, A Nguyen, N Link, M Santillana
Inferring high-resolution human mixing patterns for disease modeling
D Mistry, M Litvinova, M Chinazzi, L Fumanelli, MFC Gomes, SA Haque, ...
arXiv preprint arXiv:2003.01214, 2020
An early warning approach to monitor COVID-19 activity with multiple digital traces in near real-time
NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, ...
arXiv preprint arXiv:2007.00756, 2020
Ensemble forecasts of coronavirus disease 2019 (covid-19) in the us
EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ...
MedRXiv, 2020
Preliminary results of models to predict areas in the Americas with increased likelihood of Zika virus transmission in 2017
J Asher, C Barker, G Chen, D Cummings, M Chinazzi, S Daniel-Wayman, ...
BioRxiv, 187591, 2017
Defuse the bomb: Rewiring interbank networks
M Chinazzi, S Pegoraro, G Fagiolo
LEM Papers Series 16, 2015
Reshaping a nation: Mobility, commuting, and contact patterns during the COVID-19 outbreak
B Klein, T LaRock, S McCabe, L Torres, L Friedland, F Privitera, B Lake, ...
Northeastern University-Network Science Institute Report, 2020
Quantifying the risk of local Zika virus transmission in the contiguous US during the 2015–2016 ZIKV epidemic
K Sun, Q Zhang, A Pastore-Piontti, M Chinazzi, D Mistry, NE Dean, ...
BMC medicine 16 (1), 195, 2018
Mapping the physics research space: a machine learning approach
M Chinazzi, B Gonçalves, Q Zhang, A Vespignani
EPJ Data Science 8 (1), 33, 2019
Real-time forecasting of the COVID-19 outbreak in Chinese provinces: machine learning approach using novel digital data and estimates from mechanistic models
D Liu, L Clemente, C Poirier, X Ding, M Chinazzi, J Davis, A Vespignani, ...
Journal of medical Internet research 22 (8), e20285, 2020
Finding Patient Zero: Learning Contagion Source with Graph Neural Networks
C Shah, N Dehmamy, N Perra, M Chinazzi, AL Barabási, A Vespignani, ...
arXiv preprint arXiv:2006.11913, 2020
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