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

Infodemiology and Infoveillance (804) JMIR Theme Issue: COVID-19 Special Issue (1595) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1082) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (639) Outbreak and Pandemic Preparedness and Management (1214) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1152) Infectious Diseases (non-STD/STI) (1077) Behavioural Surveillance for Public Health (99)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27059, first published .
Mining and Validating Social Media Data for COVID-19–Related Human Behaviors Between January and July 2020: Infodemiology Study

Mining and Validating Social Media Data for COVID-19–Related Human Behaviors Between January and July 2020: Infodemiology Study

Mining and Validating Social Media Data for COVID-19–Related Human Behaviors Between January and July 2020: Infodemiology Study

Authors of this article:

Ashlynn R Daughton 1 Author Orcid Image ;   Courtney D Shelley 1 Author Orcid Image ;   Martha Barnard 1 Author Orcid Image ;   Dax Gerts 1 Author Orcid Image ;   Chrysm Watson Ross 1, 2 Author Orcid Image ;   Isabel Crooker 1 Author Orcid Image ;   Gopal Nadiga 1 Author Orcid Image ;   Nilesh Mukundan 1 Author Orcid Image ;   Nidia Yadira Vaquera Chavez 1, 2 Author Orcid Image ;   Nidhi Parikh 1 Author Orcid Image ;   Travis Pitts 1 Author Orcid Image ;   Geoffrey Fairchild 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Gao Z, Fujita S, Shimizu N, Liew K, Murayama T, Yada S, Wakamiya S, Aramaki E. Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study. JMIR Public Health and Surveillance 2021;7(7):e29865 View