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

Infodemiology and Infoveillance (1363) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1048) Information Seeking, Information Needs (477) Information Retrieval (294) Infectious Diseases (non-STD/STI) (1584) Outbreak and Pandemic Preparedness and Management (1738)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24554, first published .
Predicting Norovirus in the United States Using Google Trends: Infodemiology Study

Predicting Norovirus in the United States Using Google Trends: Infodemiology Study

Predicting Norovirus in the United States Using Google Trends: Infodemiology Study

Authors of this article:

Kai Yuan1 Author Orcid Image ;   Guangrui Huang1 Author Orcid Image ;   Lepeng Wang2 Author Orcid Image ;   Ting Wang1 Author Orcid Image ;   Wenbin Liu1 Author Orcid Image ;   Haixu Jiang1 Author Orcid Image ;   Albert C Yang3, 4, 5 Author Orcid Image
Article Authors Cited by (16) Tweetations (5) Metrics

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  10. Clark E, Neumann S, Hopkins S, Kostopoulos A, Hagerman L, Dobbins M. Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review. JMIR Public Health and Surveillance 2024;10:e49185 View
  11. Ondrikova N, Clough H, Douglas A, Vivancos R, Itturiza-Gomara M, Cunliffe N, Harris J. Comparison of statistical approaches to predicting norovirus laboratory reports before and during COVID-19: insights to inform public health surveillance. Scientific Reports 2023;13(1) View
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