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

• Κύριοι συγγραφείς: Jingguo Chen (Συγγραφέας), Hao Mi (Συγγραφέας), Jinyu Fu (Συγγραφέας), Haitian Zheng (Συγγραφέας), Hongyue Zhao (Συγγραφέας), Rui Yuan (Συγγραφέας), Hanwei Guo (Συγγραφέας), Kang Zhu (Συγγραφέας), Ya Zhang (Συγγραφέας), Hui Lyu (Συγγραφέας), Yitong Zhang (Συγγραφέας), Ningning She (Συγγραφέας), Xiaoyong Ren (Συγγραφέας)
• Μορφή: Βιβλίο
• Έκδοση: Frontiers Media S.A., 2022-12-01T00:00:00Z.
• Θέματα: article
• Διαθέσιμο Online: Connect to this object online.

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...