Alessandro Vespignani

Summary

Affiliation: Indiana University
Country: USA

Publications

  1. pmc Modeling vaccination campaigns and the Fall/Winter 2009 activity of the new A(H1N1) influenza in the Northern Hemisphere
    P Bajardi
    Computational Epidemiology Laboratory, Institute for Scientific Interchange, Turin, Italy
    Emerg Health Threats J 2:e11. 2009
  2. pmc Comparing large-scale computational approaches to epidemic modeling: agent-based versus structured metapopulation models
    Marco Ajelli
    Center for Complex Networks and Systems Research, School of Informatics and Computing, Indiana University, Bloomington, IN 47408, USA
    BMC Infect Dis 10:190. 2010
  3. doi request reprint Predicting the behavior of techno-social systems
    Alessandro Vespignani
    Center for Complex Networks and Systems Research, School of Informatics and Computing, and Pervasive Technology Institute, Indiana University, Bloomington, IN 47408, USA
    Science 325:425-8. 2009
  4. pmc Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm
    Michele Tizzoni
    Computational Epidemiology Laboratory, Institute for Scientific Interchange, ISI, Torino, Italy
    BMC Med 10:165. 2012
  5. pmc Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study
    Vittoria Colizza
    Complex Networks Lagrange Laboratory CNLL, Institute for Scientific Interchange ISI Foundation, Turin, Italy
    BMC Med 5:34. 2007
  6. pmc Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility
    Duygu Balcan
    Center for Complex Networks and Systems Research, School of Informatics and Computing, Indiana University, Bloomington, IN, USA
    BMC Med 7:45. 2009
  7. pmc Invasion threshold in structured populations with recurrent mobility patterns
    Duygu Balcan
    Complex Networks and Systems Lagrange Laboratory, Institute for Scientific Interchange, Torino 10133, Italy
    J Theor Biol 293:87-100. 2012
  8. pmc Multiscale mobility networks and the spatial spreading of infectious diseases
    Duygu Balcan
    Center for Complex Networks and Systems Research, School of Informatics and Computing, Indiana University, Bloomington, IN 47408, USA
    Proc Natl Acad Sci U S A 106:21484-9. 2009
  9. pmc Human mobility networks, travel restrictions, and the global spread of 2009 H1N1 pandemic
    Paolo Bajardi
    Computational Epidemiology Laboratory, Institute for Scientific Interchange, Torino, Italy
    PLoS ONE 6:e16591. 2011
  10. pmc Modeling the worldwide spread of pandemic influenza: baseline case and containment interventions
    Vittoria Colizza
    School of Informatics and Center for Biocomplexity, Indiana University, Bloomington, Indiana, United States of America
    PLoS Med 4:e13. 2007

Collaborators

Detail Information

Publications20

  1. pmc Modeling vaccination campaigns and the Fall/Winter 2009 activity of the new A(H1N1) influenza in the Northern Hemisphere
    P Bajardi
    Computational Epidemiology Laboratory, Institute for Scientific Interchange, Turin, Italy
    Emerg Health Threats J 2:e11. 2009
    ..Prioritized vaccination would be crucial in slowing down the pandemic evolution and reducing its burden...
  2. pmc Comparing large-scale computational approaches to epidemic modeling: agent-based versus structured metapopulation models
    Marco Ajelli
    Center for Complex Networks and Systems Research, School of Informatics and Computing, Indiana University, Bloomington, IN 47408, USA
    BMC Infect Dis 10:190. 2010
    ..One major issue thus concerns to what extent the geotemporal spreading pattern found by different modeling approaches may differ and depend on the different approximations and assumptions used...
  3. doi request reprint Predicting the behavior of techno-social systems
    Alessandro Vespignani
    Center for Complex Networks and Systems Research, School of Informatics and Computing, and Pervasive Technology Institute, Indiana University, Bloomington, IN 47408, USA
    Science 325:425-8. 2009
    ..The accessibility of new data and the advances in the theory and modeling of complex networks are providing an integrated framework that brings us closer to achieving true predictive power of the behavior of techno-social systems...
  4. pmc Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm
    Michele Tizzoni
    Computational Epidemiology Laboratory, Institute for Scientific Interchange, ISI, Torino, Italy
    BMC Med 10:165. 2012
    ..Data gathered for the 2009 H1N1 influenza crisis represent an unprecedented opportunity to validate real-time model predictions and define the main success criteria for different approaches...
  5. pmc Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study
    Vittoria Colizza
    Complex Networks Lagrange Laboratory CNLL, Institute for Scientific Interchange ISI Foundation, Turin, Italy
    BMC Med 5:34. 2007
    ..The introduction of extensive transportation data sets is therefore an important step in order to develop epidemic models endowed with realism...
  6. pmc Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility
    Duygu Balcan
    Center for Complex Networks and Systems Research, School of Informatics and Computing, Indiana University, Bloomington, IN, USA
    BMC Med 7:45. 2009
    ....
  7. pmc Invasion threshold in structured populations with recurrent mobility patterns
    Duygu Balcan
    Complex Networks and Systems Lagrange Laboratory, Institute for Scientific Interchange, Torino 10133, Italy
    J Theor Biol 293:87-100. 2012
    ..The results presented here take a step further in offering insight into the fundamental mechanisms controlling the spreading of infectious diseases and other contagion processes across spatially structured communities...
  8. pmc Multiscale mobility networks and the spatial spreading of infectious diseases
    Duygu Balcan
    Center for Complex Networks and Systems Research, School of Informatics and Computing, Indiana University, Bloomington, IN 47408, USA
    Proc Natl Acad Sci U S A 106:21484-9. 2009
    ..The present approach outlines the possibility for the definition of layered computational approaches where different modeling assumptions and granularities can be used consistently in a unifying multiscale framework...
  9. pmc Human mobility networks, travel restrictions, and the global spread of 2009 H1N1 pandemic
    Paolo Bajardi
    Computational Epidemiology Laboratory, Institute for Scientific Interchange, Torino, Italy
    PLoS ONE 6:e16591. 2011
    ..These results are rationalized in the theoretical framework characterizing the invasion dynamics of the epidemics at the metapopulation level...
  10. pmc Modeling the worldwide spread of pandemic influenza: baseline case and containment interventions
    Vittoria Colizza
    School of Informatics and Center for Biocomplexity, Indiana University, Bloomington, Indiana, United States of America
    PLoS Med 4:e13. 2007
    ..Here we study the worldwide spread of a pandemic and its possible containment at a global level taking into account all available information on air travel...
  11. ncbi request reprint Epidemic modeling in complex realities
    Vittoria Colizza
    School of Informatics and Center for Biocomplexity, Indiana University, Bloomington, IN 47401, USA
    C R Biol 330:364-74. 2007
    ..In this paper, we review recent progresses that integrate complex systems and networks analysis with epidemic modelling and focus on the impact of the various complex features of real systems on the dynamics of epidemic spreading...
  12. pmc The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale
    Wouter Van den Broeck
    Computational Epidemiology Laboratory, Institute for Scientific Interchange ISI, Turin, Italy
    BMC Infect Dis 11:37. 2011
    ....
  13. pmc WiFi networks and malware epidemiology
    Hao Hu
    Department of Physics, Indiana University, 727 East Third Street, Bloomington, IN 47405, USA
    Proc Natl Acad Sci U S A 106:1318-23. 2009
    ..We indicate possible containment and prevention measures and provide computational estimates for the rate of encrypted routers that would stop the spreading of the epidemics by placing the system below the percolation threshold...
  14. pmc Towards a characterization of behavior-disease models
    Nicola Perra
    Center for Complex Networks and Systems Research, School of Informatics and Computing, Indiana University, Bloomington, Indiana, United States of America
    PLoS ONE 6:e23084. 2011
    ..The class of models presented here can be used in the case of data-driven computational approaches to analyze scenarios of social adaptation and behavioral change...
  15. ncbi request reprint Invasion threshold in heterogeneous metapopulation networks
    Vittoria Colizza
    Complex Networks Lagrange Laboratory, Institute for Scientific Interchange, Torino, Italy
    Phys Rev Lett 99:148701. 2007
    ..The results presented provide a general framework for the understanding of the effect of travel restrictions in epidemic containment...
  16. pmc Dynamics of person-to-person interactions from distributed RFID sensor networks
    Ciro Cattuto
    Complex Networks and Systems Group, Institute for Scientific Interchange Foundation, Turin, Italy
    PLoS ONE 5:e11596. 2010
    ..Here we present a scalable experimental framework for gathering real-time data resolving face-to-face social interactions with tunable spatial and temporal granularities...
  17. pmc Host mobility drives pathogen competition in spatially structured populations
    Chiara Poletto
    Computational Epidemiology Laboratory, Institute for Scientific Interchange, Turin, Italy
    PLoS Comput Biol 9:e1003169. 2013
    ....
  18. pmc Modeling users' activity on twitter networks: validation of Dunbar's number
    Bruno Goncalves
    School of Informatics and Computing, Center for Complex Networks and Systems Research, Indiana University, Bloomington, Indiana, United States of America
    PLoS ONE 6:e22656. 2011
    ..We propose a simple model for users' behavior that includes finite priority queuing and time resources that reproduces the observed social behavior...
  19. pmc The role of the airline transportation network in the prediction and predictability of global epidemics
    Vittoria Colizza
    School of Informatics and Center for Biocomplexity, Indiana University, Bloomington, IN 47401, USA
    Proc Natl Acad Sci U S A 103:2015-20. 2006
    ..These measures may be used for the analysis of containment policies and epidemic risk assessment...