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PUBMED FOR HANDHELDS

Journal Abstract Search


3476 related items for PubMed ID: 32352383

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  • 2. COVID-19 and the "Film Your Hospital" Conspiracy Theory: Social Network Analysis of Twitter Data.
    Ahmed W, López Seguí F, Vidal-Alaball J, Katz MS.
    J Med Internet Res; 2020 Oct 05; 22(10):e22374. PubMed ID: 32936771
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  • 3. Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea.
    Park HW, Park S, Chong M.
    J Med Internet Res; 2020 May 05; 22(5):e18897. PubMed ID: 32325426
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  • 4. Temporal and Location Variations, and Link Categories for the Dissemination of COVID-19-Related Information on Twitter During the SARS-CoV-2 Outbreak in Europe: Infoveillance Study.
    Pobiruchin M, Zowalla R, Wiesner M.
    J Med Internet Res; 2020 Aug 28; 22(8):e19629. PubMed ID: 32790641
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  • 5. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study.
    Abd-Alrazaq A, Alhuwail D, Househ M, Hamdi M, Shah Z.
    J Med Internet Res; 2020 Apr 21; 22(4):e19016. PubMed ID: 32287039
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  • 11. Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the "Chinese virus" on Twitter: Quantitative Analysis of Social Media Data.
    Budhwani H, Sun R.
    J Med Internet Res; 2020 May 06; 22(5):e19301. PubMed ID: 32343669
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  • 12. Using Social Media for Rapid Information Dissemination in a Pandemic: #PedsICU and Coronavirus Disease 2019.
    Kudchadkar SR, Carroll CL.
    Pediatr Crit Care Med; 2020 Aug 06; 21(8):e538-e546. PubMed ID: 32459792
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  • 17. Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags.
    Rovetta A, Bhagavathula AS.
    J Med Internet Res; 2020 Aug 25; 22(8):e20673. PubMed ID: 32748790
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  • 20. Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram.
    Mackey TK, Li J, Purushothaman V, Nali M, Shah N, Bardier C, Cai M, Liang B.
    JMIR Public Health Surveill; 2020 Aug 25; 6(3):e20794. PubMed ID: 32750006
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