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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. Ahmad A, Garhwal S, Ray SK, Kumar G, Malebary SJ, Barukab OM. The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges. Archives of Computational Methods in Engineering 2020;
    CrossRef
  3. Dalanon J, Matsuka Y. Forecasting Interest in Health Professions Education Based on Relative Search Volume Trends From the Philippines. Health Professions Education 2020;
    CrossRef
  4. Fagherazzi G, Goetzinger C, Rashid MA, Aguayo GA, Huiart L. Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers. Journal of Medical Internet Research 2020;22(6):e19284
    CrossRef
  5. 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
  6. Swapnarekha H, Behera HS, Nayak J, Naik B. Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review. Chaos, Solitons & Fractals 2020;138:109947
    CrossRef
  7. Walker MD, Sulyok M. Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom. Epidemiology and Infection 2020;148
    CrossRef
  8. Sufian A, Ghosh A, Sadiq AS, Smarandache F. A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic. Journal of Systems Architecture 2020;108:101830
    CrossRef
  9. Cousins HC, Cousins CC, Harris A, Pasquale LR. Regional Infoveillance of COVID-19 Case Rates: Analysis of Search-Engine Query Patterns. Journal of Medical Internet Research 2020;22(7):e19483
    CrossRef
  10. 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;87:30
    CrossRef
  11. 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