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Results: 1 to 20 of 102

1.

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.

PMID:
25795239
2.

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.

3.

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.

4.

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.

PMID:
25575618
5.

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.

6.

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.

7.

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.

8.

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.

9.

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
10.

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.

PMID:
25342792
11.

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.

12.

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
13.

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
14.

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
15.

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.

16.

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.

17.

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.

18.

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.

19.

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.

20.

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.

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