| 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 | 3562 | 2020 |
| Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19 A Aleta, D Martin-Corral, A Pastore y Piontti, M Ajelli, M Litvinova, ... Nature Human Behaviour 4 (9), 964-971, 2020 | 679 | 2020 |
| Spread of Zika virus in the Americas Q Zhang, K Sun, M Chinazzi, A Pastore y Piontti, NE Dean, DP Rojas, ... Proceedings of the national academy of sciences 114 (22), E4334-E4343, 2017 | 323 | 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 | 150 | 2013 |
| 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, 2020.08. 19.20177493, 2020 | 147 | 2020 |
| Inferring high-resolution human mixing patterns for disease modeling D Mistry, M Litvinova, AP y Piontti, M Chinazzi, L Fumanelli, MFC Gomes, ... Nature communications 12 (1), 1-12, 2021 | 146 | 2021 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 133 | 2022 |
| 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 | 127 | 2020 |
| Systemic risk, contagion, and financial networks: A survey M Chinazzi, G Fagiolo SSRN, 2015 | 118 | 2015 |
| Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios—United States, April–September 2021 RK Borchering, C Viboud, E Howerton, CP Smith, S Truelove, MC Runge, ... Morbidity and Mortality Weekly Report 70 (19), 719, 2021 | 109 | 2021 |
| 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, ... Science Advances 7 (10), eabd6989, 2021 | 107 | 2021 |
| Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile N Gozzi, M Tizzoni, M Chinazzi, L Ferres, A Vespignani, N Perra Nature communications 12 (1), 2429, 2021 | 96 | 2021 |
| Comparative cost-effectiveness of SARS-CoV-2 testing strategies in the USA: a modelling study Z Du, A Pandey, Y Bai, MC Fitzpatrick, M Chinazzi, AP y Piontti, ... The Lancet Public Health 6 (3), e184-e191, 2021 | 95 | 2021 |
| Assessing changes in commuting and individual mobility in major metropolitan areas in the United States during the COVID-19 outbreak B Klein, T LaRock, S McCabe, L Torres, F Privitera, B Lake, MUG Kraemer, ... Northeastern University Network Science Institute 29, 2020 | 91 | 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 computational biology 6 (12), e1001021, 2010 | 90 | 2010 |
| Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave JT Davis, M Chinazzi, N Perra, K Mu, A Pastore y Piontti, M Ajelli, ... Nature 600 (7887), 127-132, 2021 | 69* | 2021 |
| Association between COVID-19 outcomes and mask mandates, adherence, and attitudes D Adjodah, K Dinakar, M Chinazzi, SP Fraiberger, A Pentland, S Bates, ... PLoS One 16 (6), e0252315, 2021 | 62 | 2021 |
| The effect of eviction moratoria on the transmission of SARS-CoV-2 A Nande, J Sheen, EL Walters, B Klein, M Chinazzi, AH Gheorghe, ... Nature communications 12 (1), 2274, 2021 | 58 | 2021 |
| 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 | 46 | 2020 |
| Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas A Aleta, D Martín-Corral, MA Bakker, A Pastore y Piontti, M Ajelli, ... Proceedings of the National Academy of Sciences 119 (26), e2112182119, 2022 | 32 | 2022 |
Alessandro VespignaniSternberg Family Distinguished Professor, Northeastern University, BostonVerified email at neu.edu
