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Predicting Interest in Orthodontic Aligners: A Google Trends Data Analysis

Author

Listed:
  • Magdalena Sycińska-Dziarnowska

    (Department of Orthodontics, Pomeranian Medical University in Szczecin, Al. Powst. Wlkp. 72, 70111 Szczecin, Poland)

  • Liliana Szyszka-Sommerfeld

    (Department of Orthodontics, Pomeranian Medical University in Szczecin, Al. Powst. Wlkp. 72, 70111 Szczecin, Poland)

  • Krzysztof Woźniak

    (Department of Orthodontics, Pomeranian Medical University in Szczecin, Al. Powst. Wlkp. 72, 70111 Szczecin, Poland)

  • Steven J. Lindauer

    (Department of Orthodontics, School of Dentistry, Virginia Commonwealth University, Richmond, VA 23298, USA)

  • Gianrico Spagnuolo

    (Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples “Federico II”, 80131 Naples, Italy)

Abstract

Aligners are an example of how advances in dentistry can develop from innovative combinations of 3D technologies in imaging, planning and printing to provide new treatment modalities. With increasing demand for esthetic orthodontic treatment, aligners have grown in popularity because they are esthetically more pleasing and less obstructive to oral hygiene and other oral functions compared to fixed orthodontic appliances. To observe and estimate aligner treatment interest among Google Search users, Google Trends data were obtained and analyzed for the search term, “Invisalign”. A prediction of interest for the year 2022 for three European Union countries with the highest GDP was developed. “Invisalign” was chosen to represent all orthodontic aligners as the most searched term in Google Trends for aligners. This is the first study to predict interest in the query “Invisalign” in a Google search engine. The Prophet algorithm, which depends on advanced statistical analysis methods, positions itself as an automatic prediction procedure and was used to predict Google Trends data. Seasonality modeling was based on the standard Fourier series to provide a flexible model of periodic effects. The results predict an increase in “Invisalign” in Google Trends queries in the coming year, increasing by around 6%, 9% and 13% by the end of 2022 compared to 2021 for France, Italy and Germany, respectively. Forecasting allows practitioners to plan for growing demand for particular treatments, consider taking continuing education, specifically, aligner certification courses, or introduce modern scanning technology into offices. The oral health community can use similar prediction tools and methods to remain alert to future changes in patient demand to improve the responses of professional organizations as a whole, work more effectively with governments if needed, and provide better coordination of care for patients.

Suggested Citation

  • Magdalena Sycińska-Dziarnowska & Liliana Szyszka-Sommerfeld & Krzysztof Woźniak & Steven J. Lindauer & Gianrico Spagnuolo, 2022. "Predicting Interest in Orthodontic Aligners: A Google Trends Data Analysis," IJERPH, MDPI, vol. 19(5), pages 1-10, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:3105-:d:765303
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    References listed on IDEAS

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    1. Carpenter, Bob & Gelman, Andrew & Hoffman, Matthew D. & Lee, Daniel & Goodrich, Ben & Betancourt, Michael & Brubaker, Marcus & Guo, Jiqiang & Li, Peter & Riddell, Allen, 2017. "Stan: A Probabilistic Programming Language," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i01).
    2. Magdalena Sycinska-Dziarnowska & Hanna Bielawska-Victorini & Agata Budzyńska & Krzysztof Woźniak, 2021. "The Implications of the COVID-19 Pandemic on the Interest in Orthodontic Treatment and Perspectives for the Future. Real-Time Surveillance Using Google Trends," IJERPH, MDPI, vol. 18(11), pages 1-9, May.
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