Evidence map›Paper›PMID 36299936›Full record

ArticleCureus2022

COVID-19 Infodemiology: Association Between Google Search and Vaccination in Malaysian Population.

Ren Yi Kow, Norfazilah Mohamad Rafiai, Akmal Azim Ahmad Alwi, Chooi Leng Low, Muhammad Wafiuddin Ahmad, Zamzuri Zakaria, Ahmad Hafiz Zulkifly

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

7 authors.

Ren Yi KowOrthopedics, Traumatology, and Rehabilitation, IIUM (International Islamic University Malaysia), Kuantan, MYS.
Norfazilah Mohamad RafiaiEducation and Research, Sultan Ahmad Shah Medical Centre @IIUM (International Islamic University Malaysia), Kuantan, MYS.
Akmal Azim Ahmad AlwiPlastic and Reconstructive Surgery, Sultan Ahmad Shah Medical Centre @IIUM (International Islamic University Malaysia), Kuantan, MYS.
Chooi Leng LowRadiology, Sultan Ahmad Shah Medical Centre @IIUM (International Islamic University Malaysia), Kuantan, MYS.
Muhammad Wafiuddin AhmadOrthopedics, Traumatology, and Rehabilitation, IIUM (International Islamic University Malaysia), Kuantan, MYS.
Zamzuri ZakariaOrthopedics, Traumatology, and Rehabilitation, IIUM (International Islamic University Malaysia), Kuantan, MYS.
Ahmad Hafiz ZulkiflyOrthopedics, Traumatology, and Rehabilitation, IIUM (International Islamic University Malaysia), Kuantan, MYS.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background In light of the ongoing coronavirus disease 2019 (COVID-19) pandemic, vaccination is one of the most important defensive strategies in combating the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Vaccine hesitancy or anti-vaccination attitude has become a barrier to the nationwide vaccination program, potentially sabotaging the effectiveness of vaccination. Thus far, Google Trends (GT) has been used extensively for monitoring information-seeking behavior during the pandemic. We aimed to investigate the association between Google search, the vaccination rate, and the number of vaccinated and infected cases among the Malaysian population. Material and method GT's customizable geographic and temporal filters were applied to include results for predetermined keywords from January 1, 2021, to December 31, 2021. Both Malay and English languages were used to reflect the multi-racial and multi-lingual community in Malaysia. The search volume index (SVI) derived was compared with the numbers of vaccinated and infected cases which were extracted from the open-access database (COVIDNOW in Malaysia) within the same period. Both analyses were performed independently by two authors to ensure accuracy of the data extraction process. A descriptive analysis was used to compare GT analyses and the number of daily vaccinations and positive COVID-19 cases. Results The information-seeking behavior in the public fluctuated from time to time. The interest surged during the initiation of vaccination program and upon the outbreak of COVID-19 in Malaysia. The surge in interest prior to the peak of vaccination rate also indicated that the public tended to get information online prior to getting the vaccines.  Conclusion This observational study illustrates the ability of GT to monitor the interest of vaccination among the Malaysian population during the pandemic. By monitoring the dynamic changes in Google Trends, healthcare authorities can get a glimpse of public perceptions such as attitude towards COVID-19 vaccine, hence potentially identify and stymie any dangerous online anti-vaccination rhetoric swiftly.

Indexed as

covid-19covid-19 vaccinegooglegoogle trendinfodemiologymalaysia

Identifiers

PMID36299936
PMCPMC9588419

What OpenQuestion holds

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LicenceCC BY
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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.