Enhancing disease surveillance with novel data streams: challenges and opportunities

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

doi:10.1140/epjds/s13688-015-0054-0

Public

Enhancing disease surveillance with novel data streams: challenges and opportunities

Published in EPJ Data Science • Oct 16, 2015

Authors:

Benjamin M. Althouse

Samuel V. Scarpino

Lauren Ancel Meyers

Abstract

Novel data streams (NDS), such as web search data or social media updates, hold promise for enhancing the capabilities of public health surveillance. In this paper, we outline a conceptual framework for integrating NDS into current public health surveillance. Our approach focuses on two key question...

Subject

Computer science

Data science

Public health surveillance

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