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Citing this Article

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Published on 14.04.20 in Vol 6, No 2 (2020): Apr-Jun

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

Works citing "Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/18828):

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

  1. Ortiz-Martínez Y, Garcia-Robledo JE, Vásquez-Castañeda DL, Bonilla-Aldana DK, Rodriguez-Morales AJ. Can Google® trends predict COVID-19 incidence and help preparedness? The situation in Colombia. Travel Medicine and Infectious Disease 2020;:101703
    CrossRef
  2. Yuan X, Xu J, Hussain S, Wang H, Gao N, Zhang L. Trends and Prediction in Daily New Cases and Deaths of COVID-19 in the United States: An Internet Search-Interest Based Model. Exploratory Research and Hypothesis in Medicine 2020;000(000):1
    CrossRef
  3. Hanumanthu SR. Role of Intelligent Computing in COVID-19 Prognosis: A State-of-the-Art Review. Chaos, Solitons & Fractals 2020;:109947
    CrossRef
  4. Lin Y, Liu C, Chiu Y. Google searches for the keywords of “wash hands” predict the speed of national spread of COVID-19 outbreak among 21 countries. Brain, Behavior, and Immunity 2020;
    CrossRef
  5. Ciaffi J, Meliconi R, Landini MP, Ursini F. Google trends and COVID-19 in Italy: could we brace for impact?. Internal and Emergency Medicine 2020;
    CrossRef