DEFENDER: Detecting and Forecasting Epidemics Using Novel Data-Analytics for Enhanced Response

Title:	DEFENDER: Detecting and Forecasting Epidemics Using Novel Data-Analytics for Enhanced Response
Authors:	Hankin, CL Thapen, N Simmie, D Gillard, J
Item Type:	Journal Article
Issue Date:	18-May-2016
Date of Acceptance:	28-Apr-2016
URI:	http://hdl.handle.net/10044/1/32964
DOI:	https://dx.doi.org/10.1371/journal.pone.0155417
ISSN:	1932-6203
Publisher:	Public Library of Science
Journal / Book Title:	PLOS One
Volume:	11
Issue:	5
Copyright Statement:	© 2016 Thapen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Sponsor/Funder:	Defence Science and Technology Laboratory (DSTL)
Funder's Grant Number:	DSTLX-1000085033
Keywords:	General Science & Technology MD Multidisciplinary
Publication Status:	Published
Article Number:	e0155417
Appears in Collections:	Computing Faculty of Engineering