This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1274) New Methods (909) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013)

Published on in Vol 21, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12881, first published .
Modeling Spatiotemporal Factors Associated With Sentiment on Twitter: Synthesis and Suggestions for Improving the Identification of Localized Deviations

Modeling Spatiotemporal Factors Associated With Sentiment on Twitter: Synthesis and Suggestions for Improving the Identification of Localized Deviations

Modeling Spatiotemporal Factors Associated With Sentiment on Twitter: Synthesis and Suggestions for Improving the Identification of Localized Deviations

Authors of this article:

Zubair Shah1 Author Orcid Image ;   Paige Martin1 Author Orcid Image ;   Enrico Coiera1 Author Orcid Image ;   Kenneth D Mandl2, 3 Author Orcid Image ;   Adam G Dunn1 Author Orcid Image
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