Publications

The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak
Matteo Chinazzi, Jessica T. Davis, Marco Ajelli, Corrado Gioannini, Maria Litvinova, Stefano Merler, Ana Pastore y Piontti, Kunpeng Mu, Luca Rossi, Kaiyuan Sun, Cécile Viboud, Xinyue Xiong, Hongjie Yu, M. Elizabeth Halloran, Ira M. Longini Jr., Alessandro Vespignani
Science 10.1126/science.aba9757 (2020)
Charting the Next Pandemic: Modeling Infectious Disease Spreading in the Data Science Age
A Pastore y Piontti, N Perra, L Rossi, N Samay, A Vespignani
Springer International Publishing
Quantifying the risk of local Zika virus transmission in the continental US during the 2015-2016 ZIKV epidemic
K. Sun, Q. Zhang, A. Pastore y Piontti, M. Chinazzi, D. Mistry, N.E. Dean, D.P. Rojas, S. Merler, P. Poletti, L. Rossi, M.E. Halloran, I.M. Longini Jr., A. Vespignani
BMC Medicine 16:195 (2018)
Forecasting seasonal influenza fusing digital indicators and mechanistic disease models
Q. Zhang, N. Perra, D. Perrotta, D. Paolotti, M. Tizzoni, A. Vespignani.
​Proceedings of the 26th International Conference on World Wide Web (WWW 2017)
Spread of Zika virus in the Americas
Q. Zhang, K. Sun, M. Chinazzi, A. Pastore y Piontti, N.E. Dean, D.P. Rojas, S. Merler, D. Mistry, P. Poletti, L. Rossi, M. Bray, M.E. Halloran, I.M. Longini Jr., A. Vespignani
PNAS 114(22) (2017)
Real-Time Assessment of the International Spreading Risk Associated with the 2014 West African Ebola Outbreak
A. Pastore y Piontti, Q. Zhang, M. F. C. Gomes, L. Rossi, C. Poletto, V. Colizza, D.L. Chao, I. Longing, M.E. Halloran and A. Vespignani.
Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases, Springer International Publishing Switzerland, G. Chowell and J.M. Hyman (eds), pp 39-56 (2016)
Quantifying spatiotemporal heterogeneity of MERS-CoV transmission in the Middle East region: A combined modelling approach
C Poletto, V Colizza, PY Boëlle
Epidemics, 15 1-9 (2016)
Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform
Q. Zhang, C. Gioannini, D. Paolotti, N. Perra, D. Perrotta, M. Quaggiotto, M. Tizzoni, and A. Vespignani
Machine Learning and Knowledge Discovery in Databases, 237-240 (2015)
Assessing the impact of travel restrictions on international spread of the 2014 West African Ebola epidemic
C. Poletto, M.F. Gomes, A. Pastore y Piontti, L. Rossi, L. Bioglio, D.L. Chao, I.M. Longini, M.E. Halloran, V. Colizza, A. Vespignani
Eurosurveillance, 19, 42, (2014)
Assessing the International Spreading Risk Associated with the 2014 West African Ebola Outbreak
M.F.C. Gomes, A. Pastore y Piontti, L. Rossi, D. Chao, I. Longini, M. Elizabeth Halloran, A. Vespignani
PLOS Currents Outbreaks, 1, doi: 10.1371, (2014)
The Infection Tree of Global Epidemics
A. Pastore y Piontti, M. Ferreira Da Costa Gomes, N. Samay, N. Perra
Network Science, 2: 132-137, (2014)
Assessment of the Middle East respiratory syndrome coronavirus (MERS-CoV) epidemic in the Middle East and risk of international spread using a novel maximum likelihood analysis approach
C Poletto, C Pelat, D Levy-Bruhl, Y Yazdanpanah, PY Boelle, V Colizza
Eurosurveillance 19(23): pii20824 (2014)
Human mobility and the worldwide impact of intentional localized highly pathogenic virus release
D. Balcan, B. Goncalves and A. Vespignani
Scientific Reports 3, 810 (2013)
​Modeling Contact and Mobility Based Social Response to the Spreading of Infectious Diseases
N. Perra, A. Vespignani
in Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases, Spinger New York (2013)
Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm
M. Tizzoni, P. Bajardi, C. Poletto, J. J. Ramasco, D. Balcan, B. Goncalves, N. Perra, V. Colizza, A. Vespignani
BMC Medicine 10, 165  (2012)
Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic
P. Bajardi, C. Poletto, Jose J. Ramasco, M. Tizzoni1, V. Colizza, A. Vespignani
PLOS ONE 6(1): e16591, (2011)
Assessing the Ecotoxicologic Hazards of a Pandemic Influenza Medical Response
A.C. Singer, V. Colizza, H. Schmitt, J. Andrews, D. Balcan, W.E. Huang, V.D. Keller, A. Vespignani, R.J. Williams
Environ Health Perspect 119:1084–1090 (2011)
The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale
W. Van den Broeck, C. Gioannini, B. Gonçalves, M. Quaggiotto, V. Colizza, A. Vespignani
BMC Infectious Diseases, 11 :37 (2011)
Comparing large-scale computational approaches to epidemic modeling: agent-based versus structured metapopulation models
M. Ajelli, B. Gonçalves, D. Balcan, V. Colizza, H. Hu, J.J. Ramasco, S. Merler, A. Vespignani
BMC Infectious Diseases 10, 190 (2010).
Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational model
D Balcan, B Goncalves, H Hu, JJ Ramasco, V Colizza, A Vespignani.
Journal of Computational Science. 1: 132 (2010).
Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility
D. Balcan, H. Hu, B. Goncalves, P. Bajardi, C. Poletto, J. J. Ramasco, D. Paolotti, N. Perra, M. Tizzoni, W. Van den Broeck, V. Colizza, A. Vespignani
BMC Medicine 7, 45 (2009)
Multiscale mobility networks and the spatial spreading of infectious diseases.
D.Balcan, V. Colizza, B. Gonçalves, H. Hu, J. J. Ramasco, A. Vespignani
Proc Natl Acad Sci U S A 106, 21484-21489 (2009).
Estimate of Novel Influenza A/H1N1 cases in Mexico at the early stage of the pandemic with a spatially structured epidemic model
V. Colizza, A. Vespignani, N. Perra, C. Poletto, B. Gonçalves, H. Hu, D. Balcan, D. Paolotti, W. Van den Broeck, M. Tizzoni, P. Bajardi, J. J. Ramasco.
Public Library of Science Currents: Influenza. RRN1129: (2009).
Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic.
D. Balcan, V. Colizza, A.C. Singer, C. Chouaid, H. Hu, B. Gonçalves, P. Bajardi, C. Poletto, J.J. Ramasco, N. Perra, M. Tizzoni, D. Paolotti, W. Van den Broeck, A. J. Valleron, A. Vespignani.
PLoS Currents: Influenza. Dic 4:RRN113 (2009)
Modeling vaccination campaigns and the Fall/Winter 2009 activity of the new A(H1N1) influenza in the Northern Hemisphere
P. Bajardi, C. Poletto, D. Balcan, H. Hu, B. Goncalves, J. J. Ramasco, D. Paolotti, N. Perra, M. Tizzoni, W. Van den Broeck, V. Colizza, A. Vespignani
Emerging Health Threats Journal 2:e11 (2009)
Predicting the Behavior of Techno-Social Systems
A. Vespignani
Science 325, 425 (2009)
Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study
V. Colizza, A. Barrat, M. Barthelemy, A. Vespignani
BMC Medicine 5, 34 (2007)
Epidemic predictability in meta-population models with heterogeneous couplings: the impact of disease parameter values
V. Colizza, A. Barrat, M. Barthelemy, A. Vespignani
Int. J. Bifurcation & Chaos 17, 2491-2500 (2007)
The role of the airline transportation network in the prediction and predictability of global epidemics
V. Colizza, A. Barrat, M. Barthelemy, A. Vespignani
Proc. Natl. Acad. Sci. USA 103, 2015-2020 (2006)
Modeling the Worldwide Spread of Pandemic Influenza: Baseline Case and Containment Interventions
V. Colizza, A. Barrat, M. Barthelemy, A.-J. Valleron, A. Vespignani
PLoS Medicine 4(1): e13 (2007)
The Modeling of Global Epidemics: Stochastic Dynamics and Predictability
V. Colizza, A. Barrat, M. Barthelemy, A. Vespignani
Bull. Math. Biol. 68, 1893-1921 (2006)

Published works featuring gleam

Human Mobility, Networks and Disease Dynamics on a Global Scale
Brockmann, Dirk.
Diffusive Spreading in Nature, Technology and Society. Springer, Cham, 2018. 375-396.
Modelling the global spread of diseases: A review of current practice and capability
Caroline E.Walters, Margaux M.I.Meslé, Ian M.Hall
Epidemics (2018)
Characterizing the dynamics underlying global spread of epidemics
Wang, Lin, and Joseph T. Wu.
Nature communications 9.1 (2018): 218.
Simulating the world: The digital enactment of pandemics as a mode of global self-observation
Sven Opitz
European Journal of Social Theory, Vol 20, Issue 3, 2017
Global Connectivity and the Spread of Infectious Diseases
Brockmann, Dirk.
Nova Acta Leopoldina NF Nr. 419, 129 –136 (2017)
Publicly available software tools for decision-makers during an emergent epidemic—Systematic evaluation of utility and usability
D.J. Heslop, A.A. Chughtai, C.M. Bui, C.R. MacIntyre
Epidemics Vol 21, Dec 2017, Pages 1-12
Macroanalysis in the Arts and Sciences
Thomas E. Lombardi
Fee S., Holland-Minkley A., Lombardi T. (eds) New Directions for Computing Education. Springer, Cham
Mathematical models to characterize early epidemic growth: a review
Chowell, Gerardo, et al.
Physics of life reviews 18 (2016): 66-97.
Measuring the potential of individual airports for pandemic spread over the world airline network
Glenn Lawyer
BMC Infectious Diseases (2016) 16:70
Modeling Ebola Spread and Using HPCC/KEL System
Shaw, Jesse, et al.
Big Data Technologies and Applications. Springer, Cham, 2016. 347-385.
New technologies in predicting, preventing and controlling emerging infectious diseases
Christaki, Eirini.
Virulence 6.6 (2015): 558-565.
Saving human lives: What complexity science and information systems can contribute
Helbing, Dirk, et al.
Journal of statistical physics 158.3 (2015): 735-781.
VoroGraph: Visualization Tools for Epidemic Analysis
Dunne, Cody, et al.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2015.
A Comparative Analysis of Tools and Technologies for Policy Making
E. Kamateri, E. Panopoulou, E. Tambouris, K. Tarabanis, A. Ojo, D. Lee, D. Price
Policy Practice and Digital Science. Public Administration and Information Technology, vol 10. Springer, Cham
A communicable disease prediction benchmarking platform
Kassaye Yitbarek Yigzaw, Johan Gustav Bellika
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
Policy-making 2.0: Unleashing the power of big data for public governance
Misuraca, Gianluca, Francesco Mureddu, and David Osimo.
Open government. Springer, New York, NY, 2014. 171-188.
Policy-Making 2.0: Unleashing the Power of Big Data for Public Governance
G. Misuraca, F. Mureddu, D. Osimo
Open Government. Public Administration and Information Technology, vol 4. Springer, New York, NY
Design for information
Isabel Meirelles
Rockport, 2013
The hidden geometry of complex, network-driven contagion phenomena
Brockmann, Dirk, and Dirk Helbing.
Science 342.6164 (2013): 1337-1342.
Towards a living earth simulator
M. Paolucci et al
Eur. Phys. J. Special Topics 214, 77–108 (2012)