Drug Deaddiction and Treatment Centre & Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Drug Deaddiction and Treatment Centre & Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Int J Drug Policy. 2021 Jan;87:102984. doi: 10.1016/j.drugpo.2020.102984. Epub 2020 Oct 19.
Sudden alcohol prohibition in India during the COVID-19 pandemic presented an opportunity to test whether Google Trends data could indicate population responses and the public health impact of alcohol policy. We hypothesized, following prohibition: there would be a significant change in the relative search volumes (RSV) of alcohol-related queries; that temporal analysis of the trends would reflect a public response to policy changes; and that geospatial analysis of RSV would correlate with the prevalence of alcohol use.
Three different search periods were used to test the hypotheses. The search inputs were based on potential public response to alcohol prohibition, as evidenced by the literature, newspaper articles, and consensus. We used RSV as the unit of analysis. Mean RSV of search queries, pre-post implementation of prohibition, were compared. Smoothing of scatter plots examined the temporal association of trends with policy measures. Multiple linear regression tested the relationship of state-wise RSV and alcohol use prevalence.
Post-implementation of prohibition, a significant increase in the RSV was observed for searches related to alcohol withdrawal (p<0.001), how to extract alcohol from sanitizer (p = 0.002), alcohol home delivery online (p<0.001), alcohol home delivery (p<0.001), and sleeping pills (p = 0.006). The trends suggested a decrease in general interest in alcohol but increased demand, and a possible connection with changes in policy measures. State-level RSV and alcohol use prevalence did not reveal a significant relationship.
Google trend is a potential source of rapid feedback to policymakers about population responses to an abrupt change in alcohol policies.
在 COVID-19 大流行期间,印度突然禁止饮酒,这为测试谷歌趋势数据是否能表明人口对酒精政策的反应和公共卫生影响提供了机会。我们假设,在禁酒令之后:与酒精相关的查询的相对搜索量(RSV)会发生显著变化;对趋势的时间分析将反映出公众对政策变化的反应;以及 RSV 的地理空间分析将与酒精使用的流行程度相关。
使用了三个不同的搜索期来检验假设。搜索输入基于文献、报纸文章和共识中证据表明的公众对酒精禁止的潜在反应。我们使用 RSV 作为分析单位。比较了实施禁令前后的搜索查询的平均 RSV。散点图的平滑检查了趋势与政策措施之间的时间关联。多元线性回归测试了州级 RSV 和酒精使用流行率之间的关系。
在实施禁令后,与酒精戒断(p<0.001)、如何从消毒剂中提取酒精(p=0.002)、在线酒精家庭送货(p<0.001)、酒精家庭送货(p<0.001)和安眠药(p=0.006)相关的搜索 RSV 显著增加。趋势表明对酒精的总体兴趣下降,但需求增加,这可能与政策措施的变化有关。州级 RSV 和酒精使用流行率之间没有显示出显著的关系。
谷歌趋势是决策者快速了解人口对酒精政策突然变化反应的潜在来源。