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http://dx.doi.org/10.17135/jdhs.2021.21.2.104

Does Rain Really Cause Toothache? Statistical Analysis Based on Google Trends  

Jeon, Se-Jeong (Department of Dental Hygiene, Daejeon Institute of Science and Technology)
Publication Information
Journal of dental hygiene science / v.21, no.2, 2021 , pp. 104-110 More about this Journal
Abstract
Background: Regardless of countries, the myth that rain makes the body ache has been worded in various forms, and a number of studies have been reported to investigate this. However, these studies, which depended on the patient's experience or memory, had obvious limitations. Google Trends is a big data analysis service based on search terms and viewing videos provided by Google LLC, and attempts to use it in various fields are continuing. In this study, we endeavored to introduce the 'value as a research tool' of the Google Trends, that has emerged along with technological advancements, through research on 'whether toothaches really occur frequently on rainy days'. Methods: Keywords were selected as objectively as possible by applying web crawling and text mining techniques, and the keyword "bi" meaning rain in Korean was added to verify the reliability of Google Trends data. The correlation was statistically analyzed using precipitation and temperature data provided by the Korea Meteorological Agency and daily search volume data provided by Google Trends. Results: Keywords "chi-gwa", "chi-tong", and "chung-chi" were selected, which in Korean mean 'dental clinic', 'toothache', and 'tooth decay' respectively. A significant correlation was found between the amount of precipitation and the search volume of tooth decay. No correlation was found between precipitation and other keywords or other combinations. It was natural that a very significant correlation was found between the amount of precipitation, temperature, and the search volume of "bi". Conclusion: Rain seems to actually be a cause of toothache, and if objective keyword selection is premised, Google Trends is considered to be very useful as a research tool in the future.
Keywords
Google Trends; Meteorotropic toothache; Research tools;
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  • Reference
1 Sato J: Weather change and pain: a behavioral animal study of the influences of simulated meteorological changes on chronic pain. Int J Biometeorol 47: 55-61, 2003. https://doi.org/10.1007/s00484-002-0156-9   DOI
2 Ng J, Scott D, Taneja A, Gow P, Gosai A: Weather changes and pain in rheumatology patients. APLAR J Rheumatol 7: 204-206, 2004. https://doi.org/10.1111/j.1479-8077.2004.00099.x   DOI
3 Redelmeier DA, Tversky A: On the belief that arthritis pain is related to the weather. Proc Natl Acad Sci U S A 93: 2895-2896, 1996. https://doi.org/10.1073/pnas.93.7.2895   DOI
4 Park EJ, Cho SZ: KoNLPy: Korean natural language processing in Python. In: sigHCLT, ed. Proceedings of the 26th Annual Conference on Human and Cognitive Language Technology. sigHCLT, pp.133-136, 2014.
5 Shutty Jr MS, Cundiff G, DeGood DE: Pain complaint and the weather: weather sensitivity and symptom complaints in chronic pain patients. Pain 49: 199-204, 1992. https://doi.org/10.1016/0304-3959(92)90143-y   DOI
6 Aikman H: The association between arthritis and the weather. Int J Biometeorol 40: 192-199, 1997. https://doi.org/10.1007/s004840050041   DOI
7 Guedj D, Weinberger A: Effect of weather conditions on rheumatic patients. Ann Rheum Dis 49: 158-159, 1990. https://doi.org/10.1136/ard.49.3.158   DOI
8 Clarke AM, Nicholl J: Does the weather affect the osteoarthritic patient? Br J Rheumatol 30: 477, 1991. https://doi.org/10.1093/rheumatology/30.6.477   DOI
9 Chami G, Moulder E, Mohsen A: Weather associated symptoms after ankle injuries; myth or reality? The Foot 16: 165-168, 2006. https://doi.org/10.1016/j.foot.2005.12.003   DOI
10 Jun SP, Yoo HS, Choi S: Ten years of research change using Google Trends: from the perspective of big data utilizations and applications. Technol Forecast Soc Change 130: 69-87, 2018. https://doi.org/10.1016/j.techfore.2017.11.009   DOI
11 Kim BR, Ahn E, Hwang SJ, Jeong SJ, Kim SM, Han JH: Analysis of dental hygienist job recognition using text mining. J Dent Hyg Sci 21: 70-78, 2021. https://doi.org/10.17135/jdhs.2021.21.1.70   DOI