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

被引:13
|
作者
Kow, Ren Yi [1 ]
Rafiai, Norfazilah Mohamad [2 ]
Alwi, Akmal Azim Ahmad [3 ]
Low, Chooi Leng [4 ]
Ahmad, Muhammad Wafiuddin [1 ]
Zakaria, Zamzuri [1 ]
Zulkifly, Ahmad Hafiz [1 ]
机构
[1] Int Islamic Univ Malaysia, Orthoped Traumatol & Rehabil, Kuantan, Malaysia
[2] Int Islamic Univ Malaysia, Sultan Ahmad Shah Med Ctr IIUM, Educ & Res, Kuantan, Malaysia
[3] IIUM Int Islamic Univ Malaysia, Sultan Ahmad Shah Med Ctr, Plast & Reconstruct Surg, Kuantan, Malaysia
[4] IIUM Int Islamic Univ Malaysia, Sultan Ahmad Shah Med Ctr, Radiol, Kuantan, Malaysia
关键词
covid-19; google; infodemiology; malaysia; vaccine; google trend; TRENDS;
D O I
10.7759/cureus.29515
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
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页数:7
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