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Items: 1 to 50 of 121

1.

Results from the second year of a collaborative effort to forecast influenza seasons in the United States.

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.

Epidemics. 2018 Feb 24. pii: S1755-4365(17)30088-9. doi: 10.1016/j.epidem.2018.02.003. [Epub ahead of print]

2.

Science of science.

Fortunato S, Bergstrom CT, Börner K, Evans JA, Helbing D, Milojević S, Petersen AM, Radicchi F, Sinatra R, Uzzi B, Vespignani A, Waltman L, Wang D, Barabási AL.

Science. 2018 Mar 2;359(6379). pii: eaao0185. doi: 10.1126/science.aao0185. Review.

PMID:
29496846
3.

Resilience management during large-scale epidemic outbreaks.

Massaro E, Ganin A, Perra N, Linkov I, Vespignani A.

Sci Rep. 2018 Jan 30;8(1):1859. doi: 10.1038/s41598-018-19706-2.

4.

Simulations for designing and interpreting intervention trials in infectious diseases.

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.

BMC Med. 2017 Dec 29;15(1):223. doi: 10.1186/s12916-017-0985-3.

5.

The RAPIDD Ebola forecasting challenge special issue: Preface.

Viboud C, Simonsen L, Chowell G, Vespignani A.

Epidemics. 2018 Mar;22:1-2. doi: 10.1016/j.epidem.2017.10.003. Epub 2017 Oct 24. No abstract available.

6.

Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches.

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.

JMIR Public Health Surveill. 2017 Nov 1;3(4):e83. doi: 10.2196/publichealth.7344.

7.

The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt.

Viboud C, Sun K, Gaffey R, Ajelli M, Fumanelli L, Merler S, Zhang Q, Chowell G, Simonsen L, Vespignani A; RAPIDD Ebola Forecasting Challenge group.

Epidemics. 2018 Mar;22:13-21. doi: 10.1016/j.epidem.2017.08.002. Epub 2017 Aug 26.

8.

The RAPIDD Ebola forecasting challenge: Model description and synthetic data generation.

Ajelli M, Zhang Q, Sun K, Merler S, Fumanelli L, Chowell G, Simonsen L, Viboud C, Vespignani A.

Epidemics. 2018 Mar;22:3-12. doi: 10.1016/j.epidem.2017.09.001. Epub 2017 Sep 20.

9.

Big Data for Infectious Disease Surveillance and Modeling.

Bansal S, Chowell G, Simonsen L, Vespignani A, Viboud C.

J Infect Dis. 2016 Dec 1;214(suppl_4):S375-S379. doi: 10.1093/infdis/jiw400.

10.

Spread of Zika virus in the Americas.

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.

Proc Natl Acad Sci U S A. 2017 May 30;114(22):E4334-E4343. doi: 10.1073/pnas.1620161114. Epub 2017 Apr 25.

11.

Perspectives on model forecasts of the 2014-2015 Ebola epidemic in West Africa: lessons and the way forward.

Chowell G, Viboud C, Simonsen L, Merler S, Vespignani A.

BMC Med. 2017 Mar 1;15(1):42. doi: 10.1186/s12916-017-0811-y.

12.

Containing Ebola at the Source with Ring Vaccination.

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.

PLoS Negl Trop Dis. 2016 Nov 2;10(11):e0005093. doi: 10.1371/journal.pntd.0005093. eCollection 2016 Nov.

13.

Asymptotic theory of time-varying social networks with heterogeneous activity and tie allocation.

Ubaldi E, Perra N, Karsai M, Vezzani A, Burioni R, Vespignani A.

Sci Rep. 2016 Oct 24;6:35724. doi: 10.1038/srep35724.

14.

Spatiotemporal dynamics of the Ebola epidemic in Guinea and implications for vaccination and disease elimination: a computational modeling analysis.

Ajelli M, Merler S, Fumanelli L, Pastore Y Piontti A, Dean NE, Longini IM Jr, Halloran ME, Vespignani A.

BMC Med. 2016 Sep 7;14(1):130. doi: 10.1186/s12916-016-0678-3.

15.

Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge.

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; Influenza Forecasting Contest Working Group.

BMC Infect Dis. 2016 Jul 22;16:357. doi: 10.1186/s12879-016-1669-x.

16.

The dynamics of information-driven coordination phenomena: A transfer entropy analysis.

Borge-Holthoefer J, Perra N, Gonçalves B, González-Bailón S, Arenas A, Moreno Y, Vespignani A.

Sci Adv. 2016 Apr 1;2(4):e1501158. doi: 10.1126/sciadv.1501158. eCollection 2016 Apr.

17.

The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance.

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.

PLoS One. 2016 Jan 28;11(1):e0146600. doi: 10.1371/journal.pone.0146600. eCollection 2016.

18.

A multi-source dataset of urban life in the city of Milan and the Province of Trentino.

Barlacchi G, De Nadai M, Larcher R, Casella A, Chitic C, Torrisi G, Antonelli F, Vespignani A, Pentland A, Lepri B.

Sci Data. 2015 Oct 27;2:150055. doi: 10.1038/sdata.2015.55. eCollection 2015.

19.

Reply to Biersteker: When methods matter.

Ronen S, Gonçalves B, Hu KZ, Vespignani A, Pinker S, Hidalgo CA.

Proc Natl Acad Sci U S A. 2015 Apr 14;112(15):E1815. doi: 10.1073/pnas.1503051112. Epub 2015 Mar 20. No abstract available.

20.

Assessing the international spreading risk associated with the 2014 west african ebola outbreak.

Gomes MF, Pastore Y Piontti A, Rossi L, Chao D, Longini I, Halloran ME, Vespignani A.

PLoS Curr. 2014 Sep 2;6. pii: ecurrents.outbreaks.cd818f63d40e24aef769dda7df9e0da5. doi: 10.1371/currents.outbreaks.cd818f63d40e24aef769dda7df9e0da5.

21.

Characterising two-pathogen competition in spatially structured environments.

Poletto C, Meloni S, Van Metre A, Colizza V, Moreno Y, Vespignani A.

Sci Rep. 2015 Jan 20;5:7895. doi: 10.1038/srep07895.

22.

Spatiotemporal spread of the 2014 outbreak of Ebola virus disease in Liberia and the effectiveness of non-pharmaceutical interventions: a computational modelling analysis.

Merler S, Ajelli M, Fumanelli L, Gomes MF, Piontti AP, Rossi L, Chao DL, Longini IM Jr, Halloran ME, Vespignani A.

Lancet Infect Dis. 2015 Feb;15(2):204-11. doi: 10.1016/S1473-3099(14)71074-6. Epub 2015 Jan 7.

23.

Enhancing disease surveillance with novel data streams: challenges and opportunities.

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, Rodríguez-Barraquer I, Smith DJ, Stefansen C, Swerdlow DL, Thompson D, Vespignani A, Wesolowski A.

EPJ Data Sci. 2015;4. pii: 17. doi: 10.1140/epjds/s13688-015-0054-0. Epub 2015 Oct 16.

24.

Links that speak: the global language network and its association with global fame.

Ronen S, Gonçalves B, Hu KZ, Vespignani A, Pinker S, Hidalgo CA.

Proc Natl Acad Sci U S A. 2014 Dec 30;111(52):E5616-22. doi: 10.1073/pnas.1410931111. Epub 2014 Dec 15.

25.

Opinion: Mathematical models: a key tool for outbreak response.

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.

Proc Natl Acad Sci U S A. 2014 Dec 23;111(51):18095-6. doi: 10.1073/pnas.1421551111. Epub 2014 Dec 10. No abstract available.

26.

Association between recruitment methods and attrition in Internet-based studies.

Bajardi P, Paolotti D, Vespignani A, Eames K, Funk S, Edmunds WJ, Turbelin C, Debin M, Colizza V, Smallenburg R, Koppeschaar C, Franco AO, Faustino V, Carnahan A, Rehn M, Merletti F, Douwes J, Firestone R, Richiardi L.

PLoS One. 2014 Dec 9;9(12):e114925. doi: 10.1371/journal.pone.0114925. eCollection 2014.

27.

Assessing the impact of travel restrictions on international spread of the 2014 West African Ebola epidemic.

Poletto C, Gomes MF, Pastore y Piontti A, Rossi L, Bioglio L, Chao DL, Longini IM, Halloran ME, Colizza V, Vespignani A.

Euro Surveill. 2014 Oct 23;19(42). pii: 20936.

28.

Damage detection via shortest-path network sampling.

Ciulla F, Perra N, Baronchelli A, Vespignani A.

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 May;89(5):052816. Epub 2014 May 30.

PMID:
25353853
29.

Ebola: mobility data.

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.

Science. 2014 Oct 24;346(6208):433. doi: 10.1126/science.346.6208.433-a. No abstract available.

30.

The representativeness of a European multi-center network for influenza-like-illness participatory surveillance.

Cantarelli P, Debin M, Turbelin C, Poletto C, Blanchon T, Falchi A, Hanslik T, Bonmarin I, Levy-Bruhl D, Micheletti A, Paolotti D, Vespignani A, Edmunds J, Eames K, Smallenburg R, Koppeschaar C, Franco AO, Faustino V, Carnahan A, Rehn M, Colizza V.

BMC Public Health. 2014 Sep 20;14:984. doi: 10.1186/1471-2458-14-984.

31.

Twitter: big data opportunities--response.

Lazer D, Kennedy R, King G, Vespignani A.

Science. 2014 Jul 11;345(6193):148-9. doi: 10.1126/science.345.6193.148-b. No abstract available.

PMID:
25013053
32.

Controlling contagion processes in activity driven networks.

Liu S, Perra N, Karsai M, Vespignani A.

Phys Rev Lett. 2014 Mar 21;112(11):118702. Epub 2014 Mar 19.

PMID:
24702426
33.

Big data. The parable of Google Flu: traps in big data analysis.

Lazer D, Kennedy R, King G, Vespignani A.

Science. 2014 Mar 14;343(6176):1203-5. doi: 10.1126/science.1248506. No abstract available.

PMID:
24626916
34.

Determinants of follow-up participation in the Internet-based European influenza surveillance platform Influenzanet.

Bajardi P, Vespignani A, Funk S, Eames KT, Edmunds WJ, Turbelin C, Debin M, Colizza V, Smallenburg R, Koppeschaar CE, Franco AO, Faustino V, Carnahan A, Rehn M, Paolotti D.

J Med Internet Res. 2014 Mar 10;16(3):e78. doi: 10.2196/jmir.3010.

35.

Time varying networks and the weakness of strong ties.

Karsai M, Perra N, Vespignani A.

Sci Rep. 2014 Feb 10;4:4001. doi: 10.1038/srep04001.

36.

Web-based participatory surveillance of infectious diseases: the Influenzanet participatory surveillance experience.

Paolotti D, Carnahan A, Colizza V, Eames K, Edmunds J, Gomes G, Koppeschaar C, Rehn M, Smallenburg R, Turbelin C, Van Noort S, Vespignani A.

Clin Microbiol Infect. 2014 Jan;20(1):17-21. doi: 10.1111/1469-0691.12477. Review.

37.

Containing the accidental laboratory escape of potential pandemic influenza viruses.

Merler S, Ajelli M, Fumanelli L, Vespignani A.

BMC Med. 2013 Nov 28;11:252. doi: 10.1186/1741-7015-11-252.

38.

Host mobility drives pathogen competition in spatially structured populations.

Poletto C, Meloni S, Colizza V, Moreno Y, Vespignani A.

PLoS Comput Biol. 2013;9(8):e1003169. doi: 10.1371/journal.pcbi.1003169. Epub 2013 Aug 15.

39.

Human mobility and the worldwide impact of intentional localized highly pathogenic virus release.

Gonçalves B, Balcan D, Vespignani A.

Sci Rep. 2013;3:810. doi: 10.1038/srep00810.

40.

The Twitter of Babel: mapping world languages through microblogging platforms.

Mocanu D, Baronchelli A, Perra N, Gonçalves B, Zhang Q, Vespignani A.

PLoS One. 2013 Apr 18;8(4):e61981. doi: 10.1371/journal.pone.0061981. Print 2013.

41.

Characterizing scientific production and consumption in physics.

Zhang Q, Perra N, Gonçalves B, Ciulla F, Vespignani A.

Sci Rep. 2013;3:1640. doi: 10.1038/srep01640.

42.

Random walks and search in time-varying networks.

Perra N, Baronchelli A, Mocanu D, Gonçalves B, Pastor-Satorras R, Vespignani A.

Phys Rev Lett. 2012 Dec 7;109(23):238701. Epub 2012 Dec 4.

PMID:
23368274
43.

Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm.

Tizzoni M, Bajardi P, Poletto C, Ramasco JJ, Balcan D, Gonçalves B, Perra N, Colizza V, Vespignani A.

BMC Med. 2012 Dec 13;10:165. doi: 10.1186/1741-7015-10-165.

44.

Inferring the structure of social contacts from demographic data in the analysis of infectious diseases spread.

Fumanelli L, Ajelli M, Manfredi P, Vespignani A, Merler S.

PLoS Comput Biol. 2012;8(9):e1002673. doi: 10.1371/journal.pcbi.1002673. Epub 2012 Sep 13.

45.

Digital epidemiology.

Salathé M, Bengtsson L, Bodnar TJ, Brewer DD, Brownstein JS, Buckee C, Campbell EM, Cattuto C, Khandelwal S, Mabry PL, Vespignani A.

PLoS Comput Biol. 2012;8(7):e1002616. doi: 10.1371/journal.pcbi.1002616. Epub 2012 Jul 26. Review.

46.

Activity driven modeling of time varying networks.

Perra N, Gonçalves B, Pastor-Satorras R, Vespignani A.

Sci Rep. 2012;2:469. doi: 10.1038/srep00469. Epub 2012 Jun 25.

47.

Competition among memes in a world with limited attention.

Weng L, Flammini A, Vespignani A, Menczer F.

Sci Rep. 2012;2:335. doi: 10.1038/srep00335. Epub 2012 Mar 29.

48.

Modeling human mobility responses to the large-scale spreading of infectious diseases.

Meloni S, Perra N, Arenas A, Gómez S, Moreno Y, Vespignani A.

Sci Rep. 2011;1:62. doi: 10.1038/srep00062. Epub 2011 Aug 12.

49.

Invasion threshold in structured populations with recurrent mobility patterns.

Balcan D, Vespignani A.

J Theor Biol. 2012 Jan 21;293:87-100. doi: 10.1016/j.jtbi.2011.10.010. Epub 2011 Oct 19.

50.

Towards a characterization of behavior-disease models.

Perra N, Balcan D, Gonçalves B, Vespignani A.

PLoS One. 2011;6(8):e23084. doi: 10.1371/journal.pone.0023084. Epub 2011 Aug 3.

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