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Items: 1 to 20 of 72

1.

Recalibrating disease parameters for increasing realism in modeling epidemics in closed settings.

Bioglio L, Génois M, Vestergaard CL, Poletto C, Barrat A, Colizza V.

BMC Infect Dis. 2016 Nov 14;16(1):676.

2.

Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors.

Kiti MC, Tizzoni M, Kinyanjui TM, Koech DC, Munywoki PK, Meriac M, Cappa L, Panisson A, Barrat A, Cattuto C, Nokes DJ.

EPJ Data Sci. 2016;5:21.

3.

Contact diaries versus wearable proximity sensors in measuring contact patterns at a conference: method comparison and participants' attitudes.

Smieszek T, Castell S, Barrat A, Cattuto C, White PJ, Krause G.

BMC Infect Dis. 2016 Jul 22;16:341. doi: 10.1186/s12879-016-1676-y.

4.

How to Estimate Epidemic Risk from Incomplete Contact Diaries Data?

Mastrandrea R, Barrat A.

PLoS Comput Biol. 2016 Jun 24;12(6):e1005002. doi: 10.1371/journal.pcbi.1005002.

5.

[Evaluating the epidemic risk from incomplete data].

Génois M, Vestergaard C, Barrat A.

Med Sci (Paris). 2016 May;32(5):506-8. doi: 10.1051/medsci/20163205019. French. No abstract available.

PMID:
27225925
6.
7.

Compensating for population sampling in simulations of epidemic spread on temporal contact networks.

Génois M, Vestergaard CL, Cattuto C, Barrat A.

Nat Commun. 2015 Nov 13;6:8860. doi: 10.1038/ncomms9860.

8.

Enhancing the evaluation of pathogen transmission risk in a hospital by merging hand-hygiene compliance and contact data: a proof-of-concept study.

Mastrandrea R, Soto-Aladro A, Brouqui P, Barrat A.

BMC Res Notes. 2015 Sep 10;8:426. doi: 10.1186/s13104-015-1409-0.

9.

Contact Patterns in a High School: A Comparison between Data Collected Using Wearable Sensors, Contact Diaries and Friendship Surveys.

Mastrandrea R, Fournet J, Barrat A.

PLoS One. 2015 Sep 1;10(9):e0136497. doi: 10.1371/journal.pone.0136497.

10.

Combining high-resolution contact data with virological data to investigate influenza transmission in a tertiary care hospital.

Voirin N, Payet C, Barrat A, Cattuto C, Khanafer N, Régis C, Kim BA, Comte B, Casalegno JS, Lina B, Vanhems P.

Infect Control Hosp Epidemiol. 2015 Mar;36(3):254-60. doi: 10.1017/ice.2014.53.

PMID:
25695165
11.

Mitigation of infectious disease at school: targeted class closure vs school closure.

Gemmetto V, Barrat A, Cattuto C.

BMC Infect Dis. 2014 Dec 31;14:695. doi: 10.1186/s12879-014-0695-9.

12.

How memory generates heterogeneous dynamics in temporal networks.

Vestergaard CL, Génois M, Barrat A.

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Oct;90(4):042805.

PMID:
25375547
13.

Contact patterns among high school students.

Fournet J, Barrat A.

PLoS One. 2014 Sep 16;9(9):e107878. doi: 10.1371/journal.pone.0107878.

14.

Mental health and social networks in early adolescence: a dynamic study of objectively-measured social interaction behaviors.

Pachucki MC, Ozer EJ, Barrat A, Cattuto C.

Soc Sci Med. 2015 Jan;125:40-50. doi: 10.1016/j.socscimed.2014.04.015.

PMID:
24797692
15.

Bootstrapping under constraint for the assessment of group behavior in human contact networks.

Tremblay N, Barrat A, Forest C, Nornberg M, Pinton JF, Borgnat P.

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Nov;88(5):052812.

PMID:
24329323
16.

Measuring contact patterns with wearable sensors: methods, data characteristics and applications to data-driven simulations of infectious diseases.

Barrat A, Cattuto C, Tozzi AE, Vanhems P, Voirin N.

Clin Microbiol Infect. 2014 Jan;20(1):10-6. doi: 10.1111/1469-0691.12472. Review.

17.

Activity clocks: spreading dynamics on temporal networks of human contact.

Gauvin L, Panisson A, Cattuto C, Barrat A.

Sci Rep. 2013 Oct 31;3:3099. doi: 10.1038/srep03099.

18.

Estimating potential infection transmission routes in hospital wards using wearable proximity sensors.

Vanhems P, Barrat A, Cattuto C, Pinton JF, Khanafer N, Régis C, Kim BA, Comte B, Voirin N.

PLoS One. 2013 Sep 11;8(9):e73970. doi: 10.1371/journal.pone.0073970. Erratum in: PLoS One. 2013;8(9). doi:10.1371/annotation/b20d3cec-62b7-44ec-9150-8a06a9b30a9b.

19.

Immunization strategies for epidemic processes in time-varying contact networks.

Starnini M, Machens A, Cattuto C, Barrat A, Pastor-Satorras R.

J Theor Biol. 2013 Nov 21;337:89-100. doi: 10.1016/j.jtbi.2013.07.004.

PMID:
23871715
20.

An infectious disease model on empirical networks of human contact: bridging the gap between dynamic network data and contact matrices.

Machens A, Gesualdo F, Rizzo C, Tozzi AE, Barrat A, Cattuto C.

BMC Infect Dis. 2013 Apr 23;13:185. doi: 10.1186/1471-2334-13-185.

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