Objective:During COVID-19, the Internet was a prime source for getting relevant updates on guidelines and desirable information. The objective of the present study was to determine the nutritional immunity information-seeking behaviour during COVID-19 in India.Design:Google Trends (GTs) data on relevant COVID-19 and nutritional topics were systematically selected and retrieved. Data on newly reported COVID-19 cases were also examined on a daily basis. The cross-correlation method was used to determine the correlation coefficient between the selected terms and daily new COVID-19 cases, and the joinpoint regression models were utilised to measure monthly percent change (MPC) in relative search volumes (RSV).Setting:Online.Participants:People using Google search during the period 1 January 2020–31 August 2020 in India.Results:The date of peak searches can be attributed to the COVID-19 guidelines announcement dates. All the nutritional terms showed a significant increase in average monthly percentage change. The higher than the average daily rise in COVID-19 cases leads to a higher than average increase in RSV of nutritional terms with the greatest association after 14–27 d. The highest mean relative search volume for nutritional terms was from Southern India (49·34 ± 7·43), and the lowest was from Western India (31·10 ± 6·30).Conclusion:There was a significant rise in the Google searches of nutritional immunity topics during COVID-19 in India. The local/regional terms can be considered for better outreach of public health guidelines or recommendations. Further automation of Google Trends using programming languages can help in real-time monitoring and planning various health/nutritional events.

中文翻譯：

確定印度 COVID-19 大流行期間的營(yíng)養(yǎng)免疫信息尋求行為：谷歌趨勢(shì)數(shù)據(jù)分析

目標(biāo)：在 COVID-19 期間，互聯(lián)網(wǎng)是獲取有關(guān)指南和所需信息的相關(guān)更新的主要來(lái)源。本研究的目的是確定印度 COVID-19 期間的營(yíng)養(yǎng)免疫信息尋求行為。設(shè)計(jì)：系統(tǒng)地選擇和檢索有關(guān) COVID-19 和營(yíng)養(yǎng)主題的谷歌趨勢(shì) (GTs) 數(shù)據(jù)。還每天檢查新報(bào)告的 COVID-19 病例的數(shù)據(jù)?；ハ嚓P(guān)方法用于確定所選術(shù)語(yǔ)與每日新增 COVID-19 病例之間的相關(guān)系數(shù)，并使用連接點(diǎn)回歸模型測(cè)量相對(duì)搜索量 (RSV) 的月百分比變化 (MPC)。設(shè)置：在線.參與者：2020 年 1 月 1 日至 2020 年 8 月 31 日期間在印度使用谷歌搜索的人。結(jié)果：搜索高峰的日期可以歸因于 COVID-19 指南的公布日期。所有營(yíng)養(yǎng)術(shù)語(yǔ)均顯示平均每月百分比變化顯著增加。COVID-19 病例的每日平均增幅高于平均水平，導(dǎo)致營(yíng)養(yǎng)術(shù)語(yǔ) RSV 的增幅高于平均水平，這與 14-27 天后的最大關(guān)聯(lián)。營(yíng)養(yǎng)詞的平均相對(duì)搜索量最高的是印度南部（49·34±7·43），最低的是印度西部（31·10±6·30）。結(jié)論：谷歌搜索量顯著上升在印度 COVID-19 期間搜索營(yíng)養(yǎng)免疫主題。為了更好地宣傳公共衛(wèi)生指南或建議，可以考慮使用地方/區(qū)域條款。

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