Enhancing disease surveillance with novel data streams: challenges and opportunities-Reference-Cited by-同舟云学术

Enhancing disease surveillance with novel data streams: challenges and opportunities

Published:2015-10-16 Issue:1 Volume:4 Page:
ISSN:2193-1127
Container-title:EPJ Data Science
language:en
Short-container-title:EPJ Data Sci.

Author:

Althouse Benjamin M,Scarpino Samuel V,Meyers Lauren Ancel,Ayers John W,Bargsten Marisa,Baumbach Joan,Brownstein John S,Castro Lauren,Clapham Hannah,Cummings Derek AT,Del Valle Sara,Eubank Stephen,Fairchild Geoffrey,Finelli Lyn,Generous Nicholas,George Dylan,Harper David R,Hébert-Dufresne Laurent,Johansson Michael A,Konty Kevin,Lipsitch Marc,Milinovich Gabriel,Miller Joseph D,Nsoesie Elaine O,Olson Donald R,Paul Michael,Polgreen Philip M,Priedhorsky Reid,Read Jonathan M,Rodríguez-Barraquer Isabel,Smith Derek J,Stefansen Christian,Swerdlow David L,Thompson Deborah,Vespignani Alessandro,Wesolowski Amy

Funder

The Omidyar Group

Santa Fe Institute

NIH MIDAS Center of Excellence at the Harvard Center for Communicable Disease Dynamics

William Sick

Mike Frumkin and the Frumkin Falco Family Foundation

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computer Science Applications,Modeling and Simulation

Link

http://link.springer.com/content/pdf/10.1140/epjds/s13688-015-0054-0.pdf

Reference36 articles.

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3. Olson DR, Paladini M, Lober WB, Buckeridge DL, ISDS Distribute Working Group (2011) Applying a new model for sharing population health data to national syndromic influenza surveillance: DiSTRIBuTE project proof of concept, 2006 to 2009. PLoS Curr 3:RRN1251

4. Chester KG (2013) BioSense 2.0. Online J Public Health Inform 5(1):e200

5. Althouse BM, Ng YY, Cummings DAT (2011) Prediction of dengue incidence using search query surveillance. PLoS Negl Trop Dis 5:e1258

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