The University of Southampton
University of Southampton Institutional Repository

Predicting a community’s flu dynamics with mobile phone data

Predicting a community’s flu dynamics with mobile phone data
Predicting a community’s flu dynamics with mobile phone data
ACM
Farrahi, Katayoun
bc848b9c-fc32-475c-b241-f6ade8babacb
Emonet, Remi
d0f146ba-274d-4e6f-81d2-7b733ccd6ade
Cebrian, Manuel
364f4d28-765f-4c09-b457-7bd19f6a7a2f
Farrahi, Katayoun
bc848b9c-fc32-475c-b241-f6ade8babacb
Emonet, Remi
d0f146ba-274d-4e6f-81d2-7b733ccd6ade
Cebrian, Manuel
364f4d28-765f-4c09-b457-7bd19f6a7a2f

Farrahi, Katayoun, Emonet, Remi and Cebrian, Manuel (2015) Predicting a community’s flu dynamics with mobile phone data. In CSCW '15 Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing. ACM.. (doi:10.1145/2675133.2675237).

Record type: Conference or Workshop Item (Paper)

Full text not available from this repository.

More information

Published date: March 2015

Identifiers

Local EPrints ID: 419551
URI: http://eprints.soton.ac.uk/id/eprint/419551
PURE UUID: 6a5ef9ae-b184-4abb-b231-339da5e4a9f6

Catalogue record

Date deposited: 13 Apr 2018 16:30
Last modified: 13 Mar 2019 18:42

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×