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COVID-19 Infodemiology: Association Between Google Search and Vaccination in Malaysian Population
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 nat...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588419/ https://www.ncbi.nlm.nih.gov/pubmed/36299936 http://dx.doi.org/10.7759/cureus.29515 |
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author | Kow, Ren Yi Mohamad Rafiai, Norfazilah Ahmad Alwi, Akmal Azim Low, Chooi Leng Ahmad, Muhammad Wafiuddin Zakaria, Zamzuri Zulkifly, Ahmad Hafiz |
author_facet | Kow, Ren Yi Mohamad Rafiai, Norfazilah Ahmad Alwi, Akmal Azim Low, Chooi Leng Ahmad, Muhammad Wafiuddin Zakaria, Zamzuri Zulkifly, Ahmad Hafiz |
author_sort | Kow, Ren Yi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9588419 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-95884192022-10-25 COVID-19 Infodemiology: Association Between Google Search and Vaccination in Malaysian Population Kow, Ren Yi Mohamad Rafiai, Norfazilah Ahmad Alwi, Akmal Azim Low, Chooi Leng Ahmad, Muhammad Wafiuddin Zakaria, Zamzuri Zulkifly, Ahmad Hafiz Cureus Medical Education 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. Cureus 2022-09-23 /pmc/articles/PMC9588419/ /pubmed/36299936 http://dx.doi.org/10.7759/cureus.29515 Text en Copyright © 2022, Kow et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Medical Education Kow, Ren Yi Mohamad Rafiai, Norfazilah Ahmad Alwi, Akmal Azim Low, Chooi Leng Ahmad, Muhammad Wafiuddin Zakaria, Zamzuri Zulkifly, Ahmad Hafiz COVID-19 Infodemiology: Association Between Google Search and Vaccination in Malaysian Population |
title | COVID-19 Infodemiology: Association Between Google Search and Vaccination in Malaysian Population |
title_full | COVID-19 Infodemiology: Association Between Google Search and Vaccination in Malaysian Population |
title_fullStr | COVID-19 Infodemiology: Association Between Google Search and Vaccination in Malaysian Population |
title_full_unstemmed | COVID-19 Infodemiology: Association Between Google Search and Vaccination in Malaysian Population |
title_short | COVID-19 Infodemiology: Association Between Google Search and Vaccination in Malaysian Population |
title_sort | covid-19 infodemiology: association between google search and vaccination in malaysian population |
topic | Medical Education |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588419/ https://www.ncbi.nlm.nih.gov/pubmed/36299936 http://dx.doi.org/10.7759/cureus.29515 |
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