Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study

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Works citing "Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study"

Shoko Wakamiya, Yukiko Kawai, Eiji Aramaki

JMIR Public Health Surveill 2018 (Sep 25); 4(3):e65

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.8627):

(note that this is only a small subset of citations)

Huang Y, Huang D, Nguyen QC. Census Tract Food Tweets and Chronic Disease Outcomes in the U.S., 2015–2018. International Journal of Environmental Research and Public Health 2019;16(6):975
CrossRef
Wakamiya S, Morita M, Kano Y, Ohkuma T, Aramaki E. Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations. Journal of Medical Internet Research 2019;21(2):e12783
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Wakamiya S, Matsune S, Okubo K, Aramaki E. Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective Analysis. Journal of Medical Internet Research 2019;21(2):e10450
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Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439
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According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.8627)

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