Predicting social response to infectious disease outbreaks from Internet-based news streams

DOI10.1007/S10479-017-2480-9zbMath1392.92099DBLPjournals/anor/FastKCMBM18OpenAlexW2598289997WikidataQ90667663 ScholiaQ90667663MaRDI QIDQ1639267

Natasha Markuzon, Shannon M. Fast, Emily L. Cohn, Louis Kim, John S. Brownstein, Sumiko R. Mekaru

Publication date: 12 June 2018

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc7088430

zbMATH Keywords

epidemicsanomaly detectionbiosurveillancenear real-time predictionsocial response

Mathematics Subject Classification ID

Epidemiology (92D30) Social networks; opinion dynamics (91D30)

Uses Software

• SMOTE
• BioCaster

Cites Work

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• Analyzing social media data having discontinuous underlying dynamics
• Asymptotic Properties of Nearest Neighbor Rules Using Edited Data
• Random forests

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