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Citing this Article

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Published on 17.05.20 in Vol 22, No 5 (2020): May

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

Works citing "Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts"

According to Crossref, the following articles are citing this article (DOI 10.2196/19087):

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

  1. Adly AS, Adly AS, Adly MS. Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review. Journal of Medical Internet Research 2020;22(8):e19104
    CrossRef
  2. Peng Z, Wang R, Liu L, Wu H. Exploring Urban Spatial Features of COVID-19 Transmission in Wuhan Based on Social Media Data. ISPRS International Journal of Geo-Information 2020;9(6):402
    CrossRef
  3. Tao Z, Chu G, McGrath C, Hua F, Leung YY, Yang W, Su Y. Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo. Journal of Medical Internet Research 2020;22(6):e19981
    CrossRef
  4. Bonaz B, Sinniger V, Pellissier S. Targeting the cholinergic anti-inflammatory pathway with vagus nerve stimulation in patients with Covid-19?. Bioelectronic Medicine 2020;6(1)
    CrossRef
  5. Shen C, Chen A, Luo C, Zhang J, Feng B, Liao W. Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study. Journal of Medical Internet Research 2020;22(5):e19421
    CrossRef
  6. Carvajal-Miranda C, Mañas-Viniegra L, Liang L. Online Discourse in the Context of COVID-19, the First Health Crisis in China after the Advent of Mobile Social Media: A Content Analysis of China’s Weibo and Baidu. Social Sciences 2020;9(10):167
    CrossRef