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Background: COVID-19 pandemic created an unprecedented disruption of daily life including the pattern of skincare in healthcare settings by issuing stay-at-home orders around the world. Several studies have shown that people those have skin-related problems are suffering from anxiety, sleeping problem, and hair diseases, etc. due to this COVID-19 pandemic. Therefore, to assess the current situation of skincare patients, it is necessary to evaluate whether they need any surveillance or special attention. Objective: The objectives of this study to evaluate whether there are any significant changes in population interest for skincare during the COVID-19 pandemic. Methods: For the skincare, weekly RSV data were extracted for worldwide and 23 counties between August 1, 2016, and August 31, 2020. Interrupted time-series analysis was conducted as the quasi-experimental approach to evaluate the longitudinal effects of COVID-19 skincare related search queries. For each country, autoregressive integrated moving average (ARIMA) model relative search volume (RSV) time series and then testing multiple periods simultaneously to examine the magnitude of the interruption. Multivariate linear regression was used to estimate the correlation between relative changes in RSV with COVID-19 confirmed cases/ per 10000 patients and lockdown measures. Results: Of 23 included countries in our study, 17 showed significantly increased (p<0.01) RSVs during the lockdown period compared with ARIMA forecasted data. The highest percentage of increments occurs in May and June in most countries. There was also a significant correlation of lockdown measures and the number of COVID-19 cases with relatives changes in population interests for skincare. Conclusion: Understanding the trend and changes in skincare public interest during COVID-19 may assist health authorities to promote
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10.1101/2020.11.16.20232868
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document_parses/pdf_json/bbd7fdb5606b9e21a7535c3e9785d876ee4a1137.json
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Assessment of the Impact of COVID-19 pandemic on population level interest in Skincare: Evidence from a google trends-based Infodemiology study
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