Evidence map›Paper›PMID 33091762›Full record

ArticleThe International journal on drug policy2021

Can google trends search inform us about the population response and public health impact of abrupt change in alcohol policy? A case study from India during the covid-19 pandemic.

Abhishek Ghosh, Fazl E-Roub, Narayanan C Krishnan, Shinjini Choudhury, Aniruddha Basu

Abstract read
In one paragraph

Article in The International journal on drug policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
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  5. Article
  6. Alcohol use disorder research in India: An update.Indian journal of psychiatry · 2024
    Review
  7. Review
  8. Article
  9. Article
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  12. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Abhishek GhoshDrug Deaddiction and Treatment Centre & Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India. Electronic address: ghoshabhishek12@gmail.com.
Fazl E-RoubDrug Deaddiction and Treatment Centre & Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Narayanan C KrishnanDepartment of Computer Science, Indian Institute of Technology, Ropar, Punjab, India.
Shinjini ChoudhuryDepartment of Psychiatry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Aniruddha BasuDepartment of Psychiatry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSudden 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.

methodsThree 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.

resultsPost-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.

conclusionGoogle trend is a potential source of rapid feedback to policymakers about population responses to an abrupt change in alcohol policies.

Indexed as

COVID-19Public PolicyAlcohol DrinkingAlcoholic BeveragesAlcoholismHumansIndiaInternetPublic HealthSearch EngineAlcoholCOVID-19Google trendIndiaPolicy

Identifiers

PMID33091762
PMCPMC7572085

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.