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Alessandro Vespignani

Professor

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Research/Topics of Interest

Pathogens/Diseases of Main Interest/Expertise

COVID-19
Ebola

Countries of Work/Collaboration

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Papers

Du Z, Wang L, Bai Y, Wang X, Pandey A, Fitzpatrick MC, Chinazzi M, Pastore Y Piontti A, Hupert N, Lachmann M, Vespignani A, Galvani AP, Cowling BJ, Meyers LA. (2022). Cost-effective proactive testing strategies during COVID-19 mass vaccination: A modelling study. Lancet Regional Health. Americas, (8)

Gozzi N, Chinazzi M, Davis JT, Mu K, Pastore Y Piontti A, Ajelli M, Perra N, Vespignani A. (2022). Anatomy of the first six months of COVID-19 vaccination campaign in Italy. PLoS computational biology, 18(5)

Truelove S, Smith CP, Qin M, Mullany LC, Borchering RK, Lessler J, Shea K, Howerton E, Contamin L, Levander J, Kerr J, Hochheiser H, Kinsey M, Tallaksen K, Wilson S, Shin L, Rainwater-Lovett K, Lemairtre JC, Dent J, Kaminsky J, Lee EC, Perez-Saez J, Hill A, Karlen D, Chinazzi M, Davis JT, Mu K, Xiong X, Pastore Y Piontti A, Vespignani A, Srivastava A, Porebski P, Venkatramanan S, Adiga A, Lewis B, Klahn B, Outten J, Orr M, Harrison G, Hurt B, Chen J, Vullikanti A, Marathe M, Hoops S, Bhattacharya P, Machi D, Chen S, Paul R, Janies D, Thill JC, Galanti M, Yamana TK, Pei S, Shaman JL, Healy JM, Slayton RB, Biggerstaff M, Johansson MA, Runge MC, Viboud C. (2022). Projected resurgence of COVID-19 in the United States in July-December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination. eLife, (11)

Aleta A, Martín-Corral D, Bakker MA, Pastore Y Piontti A, Ajelli M, Litvinova M, Chinazzi M, Dean NE, Halloran ME, Longini IM Jr., Pentland A, Vespignani A, Moreno Y, Moro E. (2022). Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas. Proceedings of the National Academy of Sciences of the United States of America, 119(26)

Liu QH, Zhang J, Peng C, Litvinova M, Huang S, Poletti P, Trentini F, Guzzetta G, Marziano V, Zhou T, Viboud C, Bento AI, Lv J, Vespignani A, Merler S, Yu H, Ajelli M. (2022). Model-based evaluation of alternative reactive class closure strategies against COVID-19. Nature communications, 13(1)

Reich NG, Lessler J, Funk S, Viboud C, Vespignani A, Tibshirani RJ, Shea K, Schienle M, Runge MC, Rosenfeld R, Ray EL, Niehus R, Johnson HC, Johansson MA, Hochheiser H, Gardner L, Bracher J, Borchering RK, Biggerstaff M. (2022). Collaborative Hubs: Making the Most of Predictive Epidemic Modeling. American journal of public health

Cramer EY, Ray EL, Lopez VK, Bracher J, Brennen A, Castro Rivadeneira AJ, Gerding A, Gneiting T, House KH, Huang Y, Jayawardena D, Kanji AH, Khandelwal A, Le K, Mühlemann A, Niemi J, Shah A, Stark A, Wang Y, Wattanachit N, Zorn MW, Gu Y, Jain S, Bannur N, Deva A, Kulkarni M, Merugu S, Raval A, Shingi S, Tiwari A, White J, Abernethy NF, Woody S, Dahan M, Fox S, Gaither K, Lachmann M, Meyers LA, Scott JG, Tec M, Srivastava A, George GE, Cegan JC, Dettwiller ID, England WP, Farthing MW, Hunter RH, Lafferty B, Linkov I, Mayo ML, Parno MD, Rowland MA, Trump BD, Zhang-James Y, Chen S, Faraone SV, Hess J, Morley CP, Salekin A, Wang D, Corsetti SM, Baer TM, Eisenberg MC, Falb K, Huang Y, Martin ET, McCauley E, Myers RL, Schwarz T, Sheldon D, Gibson GC, Yu R, Gao L, Ma Y, Wu D, Yan X, Jin X, Wang YX, Chen Y, Guo L, Zhao Y, Gu Q, Chen J, Wang L, Xu P, Zhang W, Zou D, Biegel H, Lega J, McConnell S, Nagraj VP, Guertin SL, Hulme-Lowe C, Turner SD, Shi Y, Ban X, Walraven R, Hong QJ, Kong S, van de Walle A, Turtle JA, Ben-Nun M, Riley S, Riley P, Koyluoglu U, DesRoches D, Forli P, Hamory B, Kyriakides C, Leis H, Milliken J, Moloney M, Morgan J, Nirgudkar N, Ozcan G, Piwonka N, Ravi M, Schrader C, Shakhnovich E, Siegel D, Spatz R, Stiefeling C, Wilkinson B, Wong A, Cavany S, España G, Moore S, Oidtman R, Perkins A, Kraus D, Kraus A, Gao Z, Bian J, Cao W, Lavista Ferres J, Li C, Liu TY, Xie X, Zhang S, Zheng S, Vespignani A, Chinazzi M, Davis JT, Mu K, Pastore Y Piontti A, Xiong X, Zheng A, Baek J, Farias V, Georgescu A, Levi R, Sinha D, Wilde J, Perakis G, Bennouna MA, Nze-Ndong D, Singhvi D, Spantidakis I, Thayaparan L, Tsiourvas A, Sarker A, Jadbabaie A, Shah D, Della Penna N, Celi LA, Sundar S, Wolfinger R, Osthus D, Castro L, Fairchild G, Michaud I, Karlen D, Kinsey M, Mullany LC, Rainwater-Lovett K, Shin L, Tallaksen K, Wilson S, Lee EC, Dent J, Grantz KH, Hill AL, Kaminsky J, Kaminsky K, Keegan LT, Lauer SA, Lemaitre JC, Lessler J, Meredith HR, Perez-Saez J, Shah S, Smith CP, Truelove SA, Wills J, Marshall M, Gardner L, Nixon K, Burant JC, Wang L, Gao L, Gu Z, Kim M, Li X, Wang G, Wang Y, Yu S, Reiner RC, Barber R, Gakidou E, Hay SI, Lim S, Murray C, Pigott D, Gurung HL, Baccam P, Stage SA, Suchoski BT, Prakash BA, Adhikari B, Cui J, Rodríguez A, Tabassum A, Xie J, Keskinocak P, Asplund J, Baxter A, Oruc BE, Serban N, Arik SO, Dusenberry M, Epshteyn A, Kanal E, Le LT, Li CL, Pfister T, Sava D, Sinha R, Tsai T, Yoder N, Yoon J, Zhang L, Abbott S, Bosse NI, Funk S, Hellewell J, Meakin SR, Sherratt K, Zhou M, Kalantari R, Yamana TK, Pei S, Shaman J, Li ML, Bertsimas D, Skali Lami O, Soni S, Tazi Bouardi H, Ayer T, Adee M, Chhatwal J, Dalgic OO, Ladd MA, Linas BP, Mueller P, Xiao J, Wang Y, Wang Q, Xie S, Zeng D, Green A, Bien J, Brooks L, Hu AJ, Jahja M, McDonald D, Narasimhan B, Politsch C, Rajanala S, Rumack A, Simon N, Tibshirani RJ, Tibshirani R, Ventura V, Wasserman L, O'Dea EB, Drake JM, Pagano R, Tran QT, Ho LST, Huynh H, Walker JW, Slayton RB, Johansson MA, Biggerstaff M, Reich NG. (2022). Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences of the United States of America, 119(15)

Perrotta D, Frias-Martinez E, Pastore Y Piontti A, Zhang Q, Luengo-Oroz M, Paolotti D, Tizzoni M, Vespignani A. (2022). Comparing sources of mobility for modelling the epidemic spread of Zika virus in Colombia. PLoS neglected tropical diseases, 16(7)

Hofman JM, Watts DJ, Athey S, Garip F, Griffiths TL, Kleinberg J, Margetts H, Mullainathan S, Salganik MJ, Vazire S, Vespignani A, Yarkoni T. (2021). Integrating explanation and prediction in computational social science. Nature

Hu S, Wang W, Wang Y, Litvinova M, Luo K, Ren L, Sun Q, Chen X, Zeng G, Li J, Liang L, Deng Z, Zheng W, Li M, Yang H, Guo J, Wang K, Chen X, Liu Z, Yan H, Shi H, Chen Z, Zhou Y, Sun K, Vespignani A, Viboud C, Gao L, Ajelli M, Yu H. (2021). Author Correction: Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China. Nature communications, 12(1)

Davis JT, Chinazzi M, Perra N, Mu K, Piontti APY, Ajelli M, Dean NE, Gioannini C, Litvinova M, Merler S, Rossi L, Sun K, Xiong X, Halloran ME, Longini IM Jr., Viboud C, Vespignani A. (2021). Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave in Europe and the United States. medRxiv : the preprint server for health sciences

Davis JT, Chinazzi M, Perra N, Mu K, Pastore Y Piontti A, Ajelli M, Dean NE, Gioannini C, Litvinova M, Merler S, Rossi L, Sun K, Xiong X, Longini IM Jr., Halloran ME, Viboud C, Vespignani A. (2021). Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave. Nature

Liu QH, Zhang J, Peng C, Litvinova M, Huang S, Poletti P, Trentini F, Guzzetta G, Marziano V, Zhou T, Viboud C, Bento AI, Lv J, Vespignani A, Merler S, Yu H, Ajelli M. (2021). Model-based evaluation of alternative reactive class closure strategies against COVID-19. medRxiv : the preprint server for health sciences

Gozzi N, Tizzoni M, Chinazzi M, Ferres L, Vespignani A, Perra N. (2021). Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile. Nature communications, 12(1)

Adjodah D, Dinakar K, Chinazzi M, Fraiberger SP, Pentland A, Bates S, Staller K, Vespignani A, Bhatt DL. (2021). Association between COVID-19 outcomes and mask mandates, adherence, and attitudes. PloS one, 16(6)

Kraemer MUG, Hill V, Ruis C, Dellicour S, Bajaj S, McCrone JT, Baele G, Parag KV, Battle AL, Gutierrez B, Jackson B, Colquhoun R, O'Toole Á, Klein B, Vespignani A, , Volz E, Faria NR, Aanensen D, Loman NJ, du Plessis L, Cauchemez S, Rambaut A, Scarpino SV, Pybus OG. (2021). Spatiotemporal invasion dynamics of SARS-CoV-2 lineage B.1.1.7 emergence. Science (New York, N.Y.)

Castro LA, Generous N, Luo W, Pastore Y Piontti A, Martinez K, Gomes MFC, Osthus D, Fairchild G, Ziemann A, Vespignani A, Santillana M, Manore CA, Del Valle SY. (2021). Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil. PLoS neglected tropical diseases, 15(5)

Lu FS, Nguyen AT, Link NB, Molina M, Davis JT, Chinazzi M, Xiong X, Vespignani A, Lipsitch M, Santillana M. (2021). Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches. PLoS computational biology, 17(6)

Nande A, Sheen J, Walters EL, Klein B, Chinazzi M, Gheorghe AH, Adlam B, Shinnick J, Tejeda MF, Scarpino SV, Vespignani A, Greenlee AJ, Schneider D, Levy MZ, Hill AL. (2021). The effect of eviction moratoria on the transmission of SARS-CoV-2. Nature communications, 12(1)

Miliou I, Xiong X, Rinzivillo S, Zhang Q, Rossetti G, Giannotti F, Pedreschi D, Vespignani A. (2021). Predicting seasonal influenza using supermarket retail records. PLoS computational biology, 17(7)

Mistry D, Litvinova M, Pastore Y Piontti A, Chinazzi M, Fumanelli L, Gomes MFC, Haque SA, Liu QH, Mu K, Xiong X, Halloran ME, Longini IM Jr., Merler S, Ajelli M, Vespignani A. (2021). Inferring high-resolution human mixing patterns for disease modeling. Nature communications, 12(1)

Hu S, Wang W, Wang Y, Litvinova M, Luo K, Ren L, Sun Q, Chen X, Zeng G, Li J, Liang L, Deng Z, Zheng W, Li M, Yang H, Guo J, Wang K, Chen X, Liu Z, Yan H, Shi H, Chen Z, Zhou Y, Sun K, Vespignani A, Viboud C, Gao L, Ajelli M, Yu H. (2021). Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China. Nature communications, 12(1)

Wojcik S, Bijral AS, Johnston R, Lavista Ferres JM, King G, Kennedy R, Vespignani A, Lazer D. (2021). Survey data and human computation for improved flu tracking. Nature communications, 12(1)

Hu S, Wang W, Wang Y, Litvinova M, Luo K, Ren L, Sun Q, Chen X, Zeng G, Li J, Liang L, Deng Z, Zheng W, Li M, Yang H, Guo J, Wang K, Chen X, Liu Z, Yan H, Shi H, Chen Z, Zhou Y, Sun K, Vespignani A, Viboud C, Gao L, Ajelli M, Yu H. (2021). Author Correction: Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China. Nature communications, 12(1)

Du Z, Pandey A, Bai Y, Fitzpatrick MC, Chinazzi M, Pastore Y Piontti A, Lachmann M, Vespignani A, Cowling BJ, Galvani AP, Meyers LA. (2021). Comparative cost-effectiveness of SARS-CoV-2 testing strategies in the USA: a modelling study. The Lancet. Public health

Madewell ZJ, Pastore Y Piontti A, Zhang Q, Burton N, Yang Y, Longini IM, Halloran ME, Vespignani A, Dean NE. (2021). Using simulated infectious disease outbreaks to inform site selection and sample size for individually randomized vaccine trials during an ongoing epidemic. Clinical trials (London, England)

Nanni M, Andrienko G, Barabási AL, Boldrini C, Bonchi F, Cattuto C, Chiaromonte F, Comandé G, Conti M, Coté M, Dignum F, Dignum V, Domingo-Ferrer J, Ferragina P, Giannotti F, Guidotti R, Helbing D, Kaski K, Kertesz J, Lehmann S, Lepri B, Lukowicz P, Matwin S, Jiménez DM, Monreale A, Morik K, Oliver N, Passarella A, Passerini A, Pedreschi D, Pentland A, Pianesi F, Pratesi F, Rinzivillo S, Ruggieri S, Siebes A, Torra V, Trasarti R, Hoven JVD, Vespignani A. (2021). Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics and information technology

Zhang J, Litvinova M, Liang Y, Zheng W, Shi H, Vespignani A, Viboud C, Ajelli M, Yu H. (2021). The impact of relaxing interventions on human contact patterns and SARS-CoV-2 transmission in China. Science advances, 7(19)

Kogan NE, Clemente L, Liautaud P, Kaashoek J, Link NB, Nguyen AT, Lu FS, Huybers P, Resch B, Havas C, Petutschnig A, Davis J, Chinazzi M, Mustafa B, Hanage WP, Vespignani A, Santillana M. (2021). An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time. Science advances, 7(10)

Zhang J, Litvinova M, Liang Y, Wang Y, Wang W, Zhao S, Wu Q, Merler S, Viboud C, Vespignani A, Ajelli M, Yu H. (2020). Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China. Science (New York, N.Y.)

Lazer DMJ, Pentland A, Watts DJ, Aral S, Athey S, Contractor N, Freelon D, Gonzalez-Bailon S, King G, Margetts H, Nelson A, Salganik MJ, Strohmaier M, Vespignani A, Wagner C. (2020). Computational social science: Obstacles and opportunities. Science (New York, N.Y.), 369(6507)

Kraemer MUG, Yang CH, Gutierrez B, Wu CH, Klein B, Pigott DM, , du Plessis L, Faria NR, Li R, Hanage WP, Brownstein JS, Layan M, Vespignani A, Tian H, Dye C, Pybus OG, Scarpino SV. (2020). The effect of human mobility and control measures on the COVID-19 epidemic in China. Science (New York, N.Y.)

Sun K, Wang W, Gao L, Wang Y, Luo K, Ren L, Zhan Z, Chen X, Zhao S, Huang Y, Sun Q, Liu Z, Litvinova M, Vespignani A, Ajelli M, Viboud C, Yu H. (2020). Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2. Science (New York, N.Y.)

Liu D, Clemente L, Poirier C, Ding X, Chinazzi M, Davis J, Vespignani A, Santillana M. (2020). Real-time forecasting of the COVID-19 outbreak in Chinese provinces: Machine learning approach using novel digital data and estimates from mechanistic models. Journal of medical Internet research

Zhang J, Litvinova M, Wang W, Wang Y, Deng X, Chen X, Li M, Zheng W, Yi L, Chen X, Wu Q, Liang Y, Wang X, Yang J, Sun K, Longini IM Jr., Halloran ME, Wu P, Cowling BJ, Merler S, Viboud C, Vespignani A, Ajelli M, Yu H. (2020). Evolving epidemiology of novel coronavirus diseases 2019 and possible interruption of local transmission outside Hubei Province in China: a descriptive and modeling study. medRxiv : the preprint server for health sciences

Liu D, Clemente L, Poirier C, Ding X, Chinazzi M, Davis J, Vespignani A, Santillana M. (2020). Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models. Journal of medical Internet research, 22(9)

Zhang J, Litvinova M, Liang Y, Wang Y, Wang W, Zhao S, Wu Q, Merler S, Viboud C, Vespignani A, Ajelli M, Yu H. (2020). Age profile of susceptibility, mixing, and social distancing shape the dynamics of the novel coronavirus disease 2019 outbreak in China. medRxiv : the preprint server for health sciences

Aleta A, Martin-Corral D, Pastore Y Piontti A, Ajelli M, Litvinova M, Chinazzi M, Dean NE, Halloran ME, Longini IM, Merler S, Pentland A, Vespignani A, Moro E, Moreno Y. (2020). Modeling the impact of social distancing, testing, contact tracing and household quarantine on second-wave scenarios of the COVID-19 epidemic. medRxiv : the preprint server for health sciences

Lu FS, Nguyen AT, Link NB, Davis JT, Chinazzi M, Xiong X, Vespignani A, Lipsitch M, Santillana M. (2020). Estimating the Early Outbreak Cumulative Incidence of COVID-19 in the United States: Three Complementary Approaches. medRxiv : the preprint server for health sciences

Coelho FC, Lana RM, Cruz OG, Villela DAM, Bastos LS, Pastore Y Piontti A, Davis JT, Vespignani A, Codeço CT, Gomes MFC. (2020). Assessing the spread of COVID-19 in Brazil: Mobility, morbidity and social vulnerability. PloS one, 15(9)

Dean NE, Pastore Y Piontti A, Madewell ZJ, Cummings DAT, Hitchings MDT, Joshi K, Kahn R, Vespignani A, Halloran ME, Longini IM Jr.. (2020). Ensemble forecast modeling for the design of COVID-19 vaccine efficacy trials. Vaccine

Sun K, Wang W, Gao L, Wang Y, Luo K, Ren L, Zhan Z, Chen X, Zhao S, Huang Y, Sun Q, Liu Z, Litvinova M, Vespignani A, Ajelli M, Viboud C, Yu H. (2020). Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2. medRxiv : the preprint server for health sciences

Chinazzi M, Davis JT, Ajelli M, Gioannini C, Litvinova M, Merler S, Pastore Y Piontti A, Rossi L, Sun K, Viboud C, Xiong X, Yu H, Halloran ME, Longini IM Jr., Vespignani A. (2020). The effect of travel restrictions on the spread of the 2019 novel coronavirus (2019-nCoV) outbreak. medRxiv : the preprint server for health sciences

Biggerstaff M, Cowling BJ, Cucunubá ZM, Dinh L, Ferguson NM, Gao H, Hill V, Imai N, Johansson MA, Kada S, Morgan O, Pastore Y Piontti A, Polonsky JA, Prasad PV, Quandelacy TM, Rambaut A, Tappero JW, Vandemaele KA, Vespignani A, Warmbrod KL, Wong JY,. (2020). Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19. Emerging infectious diseases, 26(11)

Brett T, Ajelli M, Liu QH, Krauland MG, Grefenstette JJ, van Panhuis WG, Vespignani A, Drake JM, Rohani P. (2020). Detecting critical slowing down in high-dimensional epidemiological systems. PLoS computational biology, 16(3)

Chinazzi M, Davis JT, Ajelli M, Gioannini C, Litvinova M, Merler S, Pastore Y Piontti A, Mu K, Rossi L, Sun K, Viboud C, Xiong X, Yu H, Halloran ME, Longini IM Jr., Vespignani A. (2020). The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science (New York, N.Y.), 368(6489)

Liu D, Clemente L, Poirier C, Ding X, Chinazzi M, Davis JT, Vespignani A, Santillana M. (2020). 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. ArXiv

Hu S, Wang W, Wang Y, Litvinova M, Luo K, Ren L, Sun Q, Chen X, Zeng G, Li J, Liang L, Deng Z, Zheng W, Li M, Yang H, Guo J, Wang K, Chen X, Liu Z, Yan H, Shi H, Chen Z, Zhou Y, Sun K, Vespignani A, Viboud C, Gao L, Ajelli M, Yu H. (2020). Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China. medRxiv : the preprint server for health sciences

Davis JT, Chinazzi M, Perra N, Mu K, Piontti APY, Ajelli M, Dean NE, Gioannini C, Litvinova M, Merler S, Rossi L, Sun K, Xiong X, Halloran ME, Longini IM Jr., Viboud C, Vespignani A. (2020). Estimating the establishment of local transmission and the cryptic phase of the COVID-19 pandemic in the USA. medRxiv : the preprint server for health sciences

Kraemer MUG, Yang CH, Gutierrez B, Wu CH, Klein B, Pigott DM, , du Plessis L, Faria NR, Li R, Hanage WP, Brownstein JS, Layan M, Vespignani A, Tian H, Dye C, Cauchemez S, Pybus OG, Scarpino SV. (2020). The effect of human mobility and control measures on the COVID-19 epidemic in China. medRxiv : the preprint server for health sciences

Vespignani A, Tian H, Dye C, Lloyd-Smith JO, Eggo RM, Shrestha M, Scarpino SV, Gutierrez B, Kraemer MUG, Wu J, Leung K, Leung GM. (2020). Modelling COVID-19. Nature reviews physics

Aleta A, Martín-Corral D, Pastore Y Piontti A, Ajelli M, Litvinova M, Chinazzi M, Dean NE, Halloran ME, Longini IM Jr., Merler S, Pentland A, Vespignani A, Moro E, Moreno Y. (2020). Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19. Nature human behaviour

Shea K, Borchering RK, Probert WJM, Howerton E, Bogich TL, Li S, Van Panhuis WG, Viboud C, Aguas R, Belov A, Bhargava SH, Cavany S, Chang JC, Chen C, Chen J, Chen S, Chen Y, Childs LM, Chow CC, Crooker I, Del Valle SY, España G, Fairchild G, Gerkin RC, Germann TC, Gu Q, Guan X, Guo L, Hart GR, Hladish TJ, Hupert N, Janies D, Kerr CC, Klein DJ, Klein E, Lin G, Manore C, Meyers LA, Mittler J, Mu K, Núñez RC, Oidtman R, Pasco R, Piontti APY, Paul R, Pearson CAB, Perdomo DR, Perkins TA, Pierce K, Pillai AN, Rael RC, Rosenfeld K, Ross CW, Spencer JA, Stoltzfus AB, Toh KB, Vattikuti S, Vespignani A, Wang L, White L, Xu P, Yang Y, Yogurtcu ON, Zhang W, Zhao Y, Zou D, Ferrari M, Pannell D, Tildesley M, Seifarth J, Johnson E, Biggerstaff M, Johansson M, Slayton RB, Levander J, Stazer J, Salerno J, Runge MC. (2020). COVID-19 reopening strategies at the county level in the face of uncertainty: Multiple Models for Outbreak Decision Support. medRxiv : the preprint server for health sciences

Zhang J, Litvinova M, Wang W, Wang Y, Deng X, Chen X, Li M, Zheng W, Yi L, Chen X, Wu Q, Liang Y, Wang X, Yang J, Sun K, Longini IM Jr., Halloran ME, Wu P, Cowling BJ, Merler S, Viboud C, Vespignani A, Ajelli M, Yu H. (2020). Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling study. The Lancet. Infectious diseases

Nande A, Sheen J, Walters EL, Klein B, Chinazzi M, Gheorghe A, Adlam B, Shinnick J, Tejeda MF, Scarpino SV, Vespignani A, Greenlee AJ, Schneider D, Levy MZ, Hill AL. (2020). The effect of eviction moratoriums on the transmission of SARS-CoV-2. medRxiv : the preprint server for health sciences

Liu QH, Bento AI, Yang K, Zhang H, Yang X, Merler S, Vespignani A, Lv J, Yu H, Zhang W, Zhou T, Ajelli M. (2020). The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions. PLoS computational biology, 16(12)

Chinazzi Matteo, Davis Jessica T, Gioannini Corrado, Litvinova Maria, Pastore Y Piontti Ana, Rossi Luca, Xiong Xinyue, Halloran M Elizabeth, Longini Ira M, Vespignani Alessandro. (2020). Preliminary assessment of the International Spreading Risk Associated with the 2019 novel Coronavirus (2019-nCoV) outbreak in Wuhan City

McGowan CJ, Biggerstaff M, Johansson M, Apfeldorf KM, Ben-Nun M, Brooks L, Convertino M, Erraguntla M, Farrow DC, Freeze J, Ghosh S, Hyun S, Kandula S, Lega J, Liu Y, Michaud N, Morita H, Niemi J, Ramakrishnan N, Ray EL, Reich NG, Riley P, Shaman J, Tibshirani R, Vespignani A, Zhang Q, Reed C, . (2019). Collaborative efforts to forecast seasonal influenza in the United States, 2015-2016. Scientific reports, 9(1)

Baltrusaitis K, Vespignani A, Rosenfeld R, Gray J, Raymond D, Santillana M. (2019). Differences in Regional Patterns of Influenza Activity Across Surveillance Systems in the United States: Comparative Evaluation. JMIR public health and surveillance, 5(4)

Viboud C, Vespignani A. (2019). The future of influenza forecasts. Proceedings of the National Academy of Sciences of the United States of America, 116(8)

Massaro E, Ganin A, Perra N, Linkov I, Vespignani A. (2018). Resilience management during large-scale epidemic outbreaks. Scientific reports, 8(1)

Liu QH, Ajelli M, Aleta A, Merler S, Moreno Y, Vespignani A. (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(50)

Sun K, Zhang Q, Pastore-Piontti A, Chinazzi M, Mistry D, Dean NE, Rojas DP, Merler S, Poletti P, Rossi L, Halloran ME, Longini IM Jr., Vespignani A. (2018). Quantifying the risk of local Zika virus transmission in the contiguous US during the 2015-2016 ZIKV epidemic. BMC medicine, 16(1)

Biggerstaff M, Johansson M, Alper D, Brooks LC, Chakraborty P, Farrow DC, Hyun S, Kandula S, McGowan C, Ramakrishnan N, Rosenfeld R, Shaman J, Tibshirani R, Tibshirani RJ, Vespignani A, Yang W, Zhang Q, Reed C. (2018). Results from the second year of a collaborative effort to forecast influenza seasons in the United States. Epidemics, (24)

Vespignani A. (2018). Twenty years of network science. Nature, 558(7711)

Viboud C, Sun K, Gaffey R, Ajelli M, Fumanelli L, Merler S, Zhang Q, Chowell G, Simonsen L, Vespignani A, . (2018). The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt. Epidemics, (22)

Halloran ME, Auranen K, Baird S, Basta NE, Bellan SE, Brookmeyer R, Cooper BS, DeGruttola V, Hughes JP, Lessler J, Lofgren ET, Longini IM, Onnela JP, Özler B, Seage GR, Smith TA, Vespignani A, Vynnycky E, Lipsitch M. (2017). Simulations for designing and interpreting intervention trials in infectious diseases. BMC medicine, 15(1)

Ajelli M, Zhang Q, Sun K, Merler S, Fumanelli L, Chowell G, Simonsen L, Viboud C, Vespignani A. (2018). The RAPIDD Ebola forecasting challenge: Model description and synthetic data generation. Epidemics, (22)

Zhang Q, Sun K, Chinazzi M, Pastore Y Piontti A, Dean NE, Rojas DP, Merler S, Mistry D, Poletti P, Rossi L, Bray M, Halloran ME, Longini IM Jr., Vespignani A. (2017). Spread of Zika virus in the Americas. Proceedings of the National Academy of Sciences of the United States of America, 114(22)

Viboud C, Simonsen L, Chowell G, Vespignani A. (2018). The RAPIDD Ebola forecasting challenge special issue: Preface. Epidemics, (22)

Chowell G, Viboud C, Simonsen L, Merler S, Vespignani A. (2017). Perspectives on model forecasts of the 2014-2015 Ebola epidemic in West Africa: lessons and the way forward. BMC medicine, 15(1)

Brownstein JS, Chu S, Marathe A, Marathe MV, Nguyen AT, Paolotti D, Perra N, Perrotta D, Santillana M, Swarup S, Tizzoni M, Vespignani A, Vullikanti AKS, Wilson ML, Zhang Q. (2017). Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. JMIR public health and surveillance, 3(4)

Margevicius KJ, Generous N, Abeyta E, Althouse B, Burkom H, Castro L, Daughton A, Del Valle SY, Fairchild G, Hyman JM, Kiang R, Morse AP, Pancerella CM, Pullum L, Ramanathan A, Schlegelmilch J, Scott A, Taylor-McCabe KJ, Vespignani A, Deshpande A. (2016). The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance. PloS one, 11(1)

Ubaldi E, Perra N, Karsai M, Vezzani A, Burioni R, Vespignani A. (2016). Asymptotic theory of time-varying social networks with heterogeneous activity and tie allocation. Scientific reports, (6)

Biggerstaff M, Alper D, Dredze M, Fox S, Fung IC, Hickmann KS, Lewis B, Rosenfeld R, Shaman J, Tsou MH, Velardi P, Vespignani A, Finelli L, . (2016). Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge. BMC infectious diseases, (16)

Ajelli M, Merler S, Fumanelli L, Pastore Y Piontti A, Dean NE, Longini IM Jr., Halloran ME, Vespignani A. (2016). Spatiotemporal dynamics of the Ebola epidemic in Guinea and implications for vaccination and disease elimination: a computational modeling analysis. BMC medicine, 14(1)

Borge-Holthoefer J, Perra N, Gonçalves B, González-Bailón S, Arenas A, Moreno Y, Vespignani A. (2016). The dynamics of information-driven coordination phenomena: A transfer entropy analysis. Science advances, 2(4)

Merler S, Ajelli M, Fumanelli L, Parlamento S, Pastore Y Piontti A, Dean NE, Putoto G, Carraro D, Longini IM Jr., Halloran ME, Vespignani A. (2016). Containing Ebola at the Source with Ring Vaccination. PLoS neglected tropical diseases, 10(11)

Bansal S, Chowell G, Simonsen L, Vespignani A, Viboud C. (2016). Big Data for Infectious Disease Surveillance and Modeling. The Journal of Infectious Diseases, 214(suppl_4)

Poletto C, Meloni S, Van Metre A, Colizza V, Moreno Y, Vespignani A. (2015). Characterising two-pathogen competition in spatially structured environments. Scientific reports, (5)

Merler S, Ajelli M, Fumanelli L, Gomes MF, Piontti AP, Rossi L, Chao DL, Longini IM Jr., Halloran ME, Vespignani A. (2015). Spatiotemporal spread of the 2014 outbreak of Ebola virus disease in Liberia and the effectiveness of non-pharmaceutical interventions: a computational modelling analysis. The Lancet. Infectious diseases, 15(2)

Althouse BM, Scarpino SV, Meyers LA, Ayers JW, Bargsten M, Baumbach J, Brownstein JS, Castro L, Clapham H, Cummings DA, Del Valle S, Eubank S, Fairchild G, Finelli L, Generous N, George D, Harper DR, Hébert-Dufresne L, Johansson MA, Konty K, Lipsitch M, Milinovich G, Miller JD, Nsoesie EO, Olson DR, Paul M, Polgreen PM, Priedhorsky R, Read JM, Rodriguez-Barraquer I, Smith DJ, Stefansen C, Swerdlow DL, Thompson D, Vespignani A, Wesolowski A. (2015). Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ data science, (4)

Halloran ME, Vespignani A, Bharti N, Feldstein LR, Alexander KA, Ferrari M, Shaman J, Drake JM, Porco T, Eisenberg JN, Del Valle SY, Lofgren E, Scarpino SV, Eisenberg MC, Gao D, Hyman JM, Eubank S, Longini IM Jr.. (2014). Ebola: mobility data. Science (New York, N.Y.), 346(6208)

Liu S, Perra N, Karsai M, Vespignani A. (2014). Controlling contagion processes in activity driven networks. Physical review letters, 112(11)

Lofgren ET, Halloran ME, Rivers CM, Drake JM, Porco TC, Lewis B, Yang W, Vespignani A, Shaman J, Eisenberg JN, Eisenberg MC, Marathe M, Scarpino SV, Alexander KA, Meza R, Ferrari MJ, Hyman JM, Meyers LA, Eubank S. (2014). Opinion: Mathematical models: a key tool for outbreak response. Proceedings of the National Academy of Sciences of the United States of America, 111(51)

Lazer D, Kennedy R, King G, Vespignani A. (2014). Big data. The parable of Google Flu: traps in big data analysis. Science (New York, N.Y.), 343(6176)

Lazer D, Kennedy R, King G, Vespignani A. (2014). Twitter: big data opportunities--response. Science (New York, N.Y.), 345(6193)

Karsai M, Perra N, Vespignani A. (2014). Time varying networks and the weakness of strong ties. Scientific reports, (4)

Gomes MF, Pastore Y Piontti A, Rossi L, Chao D, Longini I, Halloran ME, Vespignani A. (2014). Assessing the international spreading risk associated with the 2014 west african ebola outbreak. PLoS currents, (6)

Ciulla F, Perra N, Baronchelli A, Vespignani A. (2014). Damage detection via shortest-path network sampling. Physical review. E, Statistical, nonlinear, and soft matter physics, 89(5)

Merler S, Ajelli M, Fumanelli L, Vespignani A. (2013). Containing the accidental laboratory escape of potential pandemic influenza viruses. BMC medicine, (11)

Mocanu D, Baronchelli A, Perra N, Gonçalves B, Zhang Q, Vespignani A. (2013). The Twitter of Babel: mapping world languages through microblogging platforms. PLoS One, 8(4)

Poletto C, Meloni S, Colizza V, Moreno Y, Vespignani A. (2013). Host mobility drives pathogen competition in spatially structured populations. PLoS computational biology, 9(8)

Gonçalves B, Balcan D, Vespignani A. (2013). Human mobility and the worldwide impact of intentional localized highly pathogenic virus release. Scientific reports, (3)

Zhang Q, Perra N, Gonçalves B, Ciulla F, Vespignani A. (2013). Characterizing scientific production and consumption in physics. Scientific reports, (3)

Salathé M, Bengtsson L, Bodnar TJ, Brewer DD, Brownstein JS, Buckee C, Campbell EM, Cattuto C, Khandelwal S, Mabry PL, Vespignani A. (2012). Digital epidemiology. PLoS computational biology, 8(7)

Tizzoni M, Bajardi P, Poletto C, Ramasco JJ, Balcan D, Gonçalves B, Perra N, Colizza V, Vespignani A. (2012). Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm. BMC medicine, (10)

Perra N, Baronchelli A, Mocanu D, Gonçalves B, Pastor-Satorras R, Vespignani A. (2012). Random walks and search in time-varying networks. Physical review letters, 109(23)

Bajardi P, Poletto C, Ramasco JJ, Tizzoni M, Colizza V, Vespignani A. (2011). Human mobility networks, travel restrictions, and the global spread of 2009 H1N1 pandemic. PLoS One, 6(1)

Balcan D, Vespignani A. (2012). Invasion threshold in structured populations with recurrent mobility patterns. Journal of theoretical biology, (293)

Meloni S, Perra N, Arenas A, Gómez S, Moreno Y, Vespignani A. (2011). Modeling human mobility responses to the large-scale spreading of infectious diseases. Scientific reports, (1)

Perra N, Balcan D, Gonçalves B, Vespignani A. (2011). Towards a characterization of behavior-disease models. PLoS One, 6(8)

Gonçalves B, Perra N, Vespignani A. (2011). Modeling users' activity on twitter networks: validation of Dunbar's number. PLoS One, 6(8)

Van den Broeck W, Gioannini C, Gonçalves B, Quaggiotto M, Colizza V, Vespignani A. (2011). The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale. BMC infectious diseases, (11)

Balcan D, Vespignani A. (2011). Phase transitions in contagion processes mediated by recurrent mobility patterns. Nature physics, (7)

Ajelli M, Gonçalves B, Balcan D, Colizza V, Hu H, Ramasco JJ, Merler S, Vespignani A. (2010). Comparing large-scale computational approaches to epidemic modeling: agent-based versus structured metapopulation models. BMC infectious diseases, (10)

Cattuto C, Van den Broeck W, Barrat A, Colizza V, Pinton JF, Vespignani A. (2010). Dynamics of person-to-person interactions from distributed RFID sensor networks. PLoS One, 5(7)

Vespignani A. (2010). Complex networks: The fragility of interdependency. Nature, 464(7291)

Ratkiewicz J, Fortunato S, Flammini A, Menczer F, Vespignani A. (2010). Characterizing and modeling the dynamics of online popularity. Physical review letters, 105(15)

Balcan D, Gonçalves B, Hu H, Ramasco JJ, Colizza V, Vespignani A. (2010). Modeling the spatial spread of infectious diseases: the GLobal Epidemic and Mobility computational model. Journal of computational science, 1(3)

Hu H, Myers S, Colizza V, Vespignani A. (2009). WiFi networks and malware epidemiology. Proceedings of the National Academy of Sciences of the United States of America, 106(5)

Vespignani A. (2009). Predicting the behavior of techno-social systems. Science (New York, N.Y.), 325(5939)

Balcan D, Colizza V, Gonçalves B, Hu H, Ramasco JJ, Vespignani A. (2009). Multiscale mobility networks and the spatial spreading of infectious diseases. Proceedings of the National Academy of Sciences of the United States of America, 106(51)

Balcan D, Hu H, Gonçalves B, Bajardi P, Poletto C, Ramasco JJ, Paolotti D, Perra N, Tizzoni M, Van den Broeck W, Colizza V, Vespignani A. (2009). Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility. BMC medicine, (7)

Serrano MA, Boguñá M, Vespignani A. (2009). Extracting the multiscale backbone of complex weighted networks. Proceedings of the National Academy of Sciences of the United States of America, 106(16)

Balcan D, Colizza V, Singer AC, Chouaid C, Hu H, Gonçalves B, Bajardi P, Poletto C, Ramasco JJ, Perra N, Tizzoni M, Paolotti D, Van den Broeck W, Valleron A, Vespignani A. (2009). Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic. PLoS currents, (1)

Radicchi F, Fortunato S, Markines B, Vespignani A. (2009). Diffusion of scientific credits and the ranking of scientists. Physical review. E, Statistical, nonlinear, and soft matter physics, 80(5 Pt 2)

Colizza V, Vespignani A. (2008). Epidemic modeling in metapopulation systems with heterogeneous coupling pattern: theory and simulations. Journal of theoretical biology, 251(3)

Colizza V, Barrat A, Barthélemy M, Vespignani A. (2007). Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study. BMC medicine, (5)

Colizza V, Vespignani A. (2007). Invasion threshold in heterogeneous metapopulation networks. Physical review letters, 99(14)

Colizza V, Barrat A, Barthélemy M, Valleron AJ, Vespignani A. (2007). Modeling the worldwide spread of pandemic influenza: baseline case and containment interventions. PLoS medicine, 4(1)

Colizza V, Barthélemy M, Barrat A, Vespignani A. (2007). Epidemic modeling in complex realities. Comptes rendus biologies, 330(4)

Colizza V, Barrat A, Barthélemy M, Vespignani A. (2006). The role of the airline transportation network in the prediction and predictability of global epidemics. Proceedings of the National Academy of Sciences of the United States of America, 103(7)

Barthélemy M, Barrat A, Pastor-Satorras R, Vespignani A. (2005). Dynamical patterns of epidemic outbreaks in complex heterogeneous networks. Journal of theoretical biology, 235(2)

Dall'asta L, Alvarez-Hamelin I, Barrat A, Vázquez A, Vespignani A. (2005). Statistical theory of Internet exploration. Physical review. E, Statistical, nonlinear, and soft matter physics, 71(3 Pt 2A)

Barthélemy M, Barrat A, Pastor-Satorras R, Vespignani A. (2004). Velocity and hierarchical spread of epidemic outbreaks in scale-free networks. Physical review letters, 92(17)

Barrat A, Barthélemy M, Vespignani A. (2004). Weighted evolving networks: coupling topology and weight dynamics. Physical review letters, 92(22)

Barrat A, Barthélemy M, Vespignani A. (2004). Modeling the evolution of weighted networks. Physical review. E, Statistical, nonlinear, and soft matter physics, 70(6 Pt 2)

Moreno Y, Nekovee M, Vespignani A. (2004). Efficiency and reliability of epidemic data dissemination in complex networks. Physical review. E, Statistical, nonlinear, and soft matter physics, 69(5 Pt 2)

Boguñá M, Pastor-Satorras R, Vespignani A. (2003). Absence of epidemic threshold in scale-free networks with degree correlations. Physical review letters, 90(2)

Vazquez A, Flammini A, Maritan A, Vespignani A. (2003). Global protein function prediction from protein-protein interaction networks. Nature biotechnology, 21(6)

Vázquez A, Boguñá M, Moreno Y, Pastor-Satorras R, Vespignani A. (2003). Topology and correlations in structured scale-free networks. Physical review. E, Statistical, nonlinear, and soft matter physics, 67(4 Pt 2)

Vespignani A. (2003). Evolution thinks modular. Nature genetics, 35(2)

Vázquez A, Pastor-Satorras R, Vespignani A. (2002). Large-scale topological and dynamical properties of the Internet. Physical review. E, Statistical, nonlinear, and soft matter physics, 65(6 Pt 2)

Pastor-Satorras R, Vespignani A. (2002). Immunization of complex networks. Physical review. E, Statistical, nonlinear, and soft matter physics, 65(3 Pt 2A)

Pastor-Satorras R, Vespignani A. (2002). Epidemic dynamics in finite size scale-free networks. Physical review. E, Statistical, nonlinear, and soft matter physics, 65(3 Pt 2A)

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