Journals Information
Universal Journal of Public Health Vol. 12(1), pp. 128 - 135
DOI: 10.13189/ujph.2024.120114
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Determination of Cellulitis Seasonal Variation Using Internet Big Data and National Health Insurance Claim Data in Korea
Seok-Min Hwang , Yu-Min Kwon , Suk-Hyun Hwang *
Department of Orthopedic Surgery, Seoul Red Cross Hospital, Republic of Korea
ABSTRACT
The crucial factor in utilizing Internet search volume data to study various health issues is the representativeness of the collected data concerning the actual prevalence of the disease. Thus, we aimed to evaluate if there are seasonal patterns in the incidence of cellulitis cases by analyzing data from the Korean Health Insurance Review & Assessment Service database, along with Internet search volume data related to cellulitis. Furthermore, we investigated the correlation between these datasets. The monthly number of cases of cellulitis was collected from the Korean Health Insurance Review & Assessment Service for the period from January 2016 to December 2022. Additionally, DataLab, an Internet search query trend service provided by the Korean portal website Naver, was used to obtain the monthly relative search volumes for three keywords related to cellulitis during the same timeframe. To determine the seasonality of monthly case numbers and corresponding search volumes, we conducted a Cosinor analysis. We utilized Pearson correlation analyses to evaluate the relationship between these variables. The incidence of cellulitis cases and the associated search volume for cellulitis-related terms both presented significant seasonality, with peaks in the summer and lows in the winter months. The seasonality was evident in both the incidence of cellulitis cases and the related Internet search data, with summer months registering the highest frequency. Significant correlations were found between Internet search volumes for cellulitis-related keywords and seasonal shifts in cellulitis incidence, suggesting that big data from the Internet is a valuable complementary resource for cellulitis research and monitoring.
KEYWORDS
Cellulitis, Internet, Big Data, Seasonality
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Seok-Min Hwang , Yu-Min Kwon , Suk-Hyun Hwang , "Determination of Cellulitis Seasonal Variation Using Internet Big Data and National Health Insurance Claim Data in Korea," Universal Journal of Public Health, Vol. 12, No. 1, pp. 128 - 135, 2024. DOI: 10.13189/ujph.2024.120114.
(b). APA Format:
Seok-Min Hwang , Yu-Min Kwon , Suk-Hyun Hwang (2024). Determination of Cellulitis Seasonal Variation Using Internet Big Data and National Health Insurance Claim Data in Korea. Universal Journal of Public Health, 12(1), 128 - 135. DOI: 10.13189/ujph.2024.120114.