Construction and validation of a COVID-19 pandemic trend forecast model based on Google Trends data for smell and taste loss

• Главные авторы: Jingguo Chen (Автор), Hao Mi (Автор), Jinyu Fu (Автор), Haitian Zheng (Автор), Hongyue Zhao (Автор), Rui Yuan (Автор), Hanwei Guo (Автор), Kang Zhu (Автор), Ya Zhang (Автор), Hui Lyu (Автор), Yitong Zhang (Автор), Ningning She (Автор), Xiaoyong Ren (Автор)
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• Опубликовано: Frontiers Media S.A., 2022-12-01T00:00:00Z.
• Предметы: article
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AimTo explore the role of smell and taste changes in preventing and controlling the COVID-19 pandemic, we aimed to build a forecast model for trends in COVID-19 prediction based on Google Trends data for smell and taste loss.MethodsData on confirmed COVID-19 cases from 6 January 2020 to 26 December...