揭示 COVID-19 对饮食相关生活方式的影响:从谷歌趋势查询量中获得的启示

Patricia Micheal, Nagaveni Shivshetty, Jyoti Mukerjee, V. G. Poosarla, Ajay Kumar Oli
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引用次数: 0

摘要

本研究旨在利用谷歌趋势(GT)展示大流行期间生活方式和行为模式的特殊变化。2019 年冠状病毒病(COVID-19)在全球范围内的大流行使人们的基本生活变得令人吃惊。该研究旨在说明 COVID-19 如何影响印度人的饮食习惯和生活方式。研究借助谷歌趋势相对搜索量(RSV)数据对相关领域进行了回顾性分析,这些领域包括 COVID-19 病例、症状、对药物的偏好、对营养素的选择、体育锻炼的减少以及观看各种作为娱乐来源的 OTT 平台;这些都是得出相关系数的考虑变量。锌与维生素 C、锌与维生素 D、维生素 C 与维生素 D 之间的相关系数分别为 0.83、0.78 和 0.72。在 Netflix 和 Amazon Prime 中也观察到了对称性,相关系数为 0.81;在 COVID-19 和健身房之间发现了显著的负相关,相关系数为-0.32。这项研究可用作未来预测和过去时间表的检查点清单,以及它们在流行病传播及其缓解策略中的共同作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unveiling COVID-19’s Influence on Diet-Related Lifestyle: Insights from Google Trends Query Volumes
This study aimed to showcase the particular lifestyle and behavioural pattern changes during the pandemic using Google Trends (GT). The pandemic hit by the Coronavirus Disease 2019 (COVID-19) globally has brought basic living into the context of surprise. Since the lockdown and social restrictions, the population has faced many changes in their daily routine. To demonstrate how COVID-19 affects eating habits and lifestyle in India. The purpose of the study was to demonstrate how COVID-19 has affected eating habits and lifestyle in India. A retrospective analysis was carried out with the aid of Google Trend Relative Search Volume (RSV) data obtained for interest areas, such as COVID-19 cases, symptoms, preference of medicines, choice of nutrients, reduced physical activity, and watching varied Over-the-top media service (OTT) platforms as the source of entertainment; these were the variables that were taken into consideration to derive correlation coefficient values. There was a strong positive correlation found between zinc and vitamin C, zinc and vitamin D, and vitamin C and D, which was 0.83, 0.78, and 0.72, respectively. Symmetrical observation has been observed in Netflix and Amazon Prime as 0.81; a notable negative correlation was found between COVID-19 and gym as -0.32. This study can be used as a checkpoint list for future predictions and past timelines and how they have a cohabitant role in the spread of the epidemic and its line of mitigation strategies. NIL
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