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Malaysian Public Interest in Common Medical Problems: A 10-Year Google Trends Analysis
Background An analysis of internet search has been performed to evaluate the public interest in health problems. Google Trends (GT) serves as a free platform to analyse the search traffic for specific terms in the Google search engine. This observational study aims to investigate the trend of Malays...
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/PMC8846410/ https://www.ncbi.nlm.nih.gov/pubmed/35186541 http://dx.doi.org/10.7759/cureus.21257 |
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author | Kow, Ren Yi Mohamad Rafiai, Norfazilah Ahmad Alwi, Akmal Azim Low, Chooi Leng Rozi, Nur Raziana Nizam Siron, Khairul Zulkifly, Ahmad Hafiz Zakaria@Mohamad, Zamzuri Awang, Mohamed Saufi |
author_facet | Kow, Ren Yi Mohamad Rafiai, Norfazilah Ahmad Alwi, Akmal Azim Low, Chooi Leng Rozi, Nur Raziana Nizam Siron, Khairul Zulkifly, Ahmad Hafiz Zakaria@Mohamad, Zamzuri Awang, Mohamed Saufi |
author_sort | Kow, Ren Yi |
collection | PubMed |
description | Background An analysis of internet search has been performed to evaluate the public interest in health problems. Google Trends (GT) serves as a free platform to analyse the search traffic for specific terms in the Google search engine. This observational study aims to investigate the trend of Malaysian population in using the Google search engine on common medical problems and explore the geographical influence on the language used. Material and method Fifteen pairs of keywords, in Malay and English language, were chosen after going through forward and backward translation and vetting by a panel of experts. GT data for the selected keywords from 1st of January 2011 to 31st of December 2020 was extracted. Trend analysis was performed using paired t-test between the first half of the decade and the second half of the decade. The different languages used were analysed based on geographical variation using paired t-test. Results The public interest on those keywords was markedly increased in the second half of the decade with 29 out of 30 keywords showing statistically significant difference. Majority of the states preferred to use Malay keywords, especially those residing at the East Coast of Peninsular Malaysia. Conclusion This observational study illustrates the ability of GT to track healthcare interest among Malaysian population. GT provides a good platform to analyse specific healthcare interest in Malaysian population, but investigators have to bear in mind the geographical influence on the language used. |
format | Online Article Text |
id | pubmed-8846410 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-88464102022-02-17 Malaysian Public Interest in Common Medical Problems: A 10-Year Google Trends Analysis Kow, Ren Yi Mohamad Rafiai, Norfazilah Ahmad Alwi, Akmal Azim Low, Chooi Leng Rozi, Nur Raziana Nizam Siron, Khairul Zulkifly, Ahmad Hafiz Zakaria@Mohamad, Zamzuri Awang, Mohamed Saufi Cureus Healthcare Technology Background An analysis of internet search has been performed to evaluate the public interest in health problems. Google Trends (GT) serves as a free platform to analyse the search traffic for specific terms in the Google search engine. This observational study aims to investigate the trend of Malaysian population in using the Google search engine on common medical problems and explore the geographical influence on the language used. Material and method Fifteen pairs of keywords, in Malay and English language, were chosen after going through forward and backward translation and vetting by a panel of experts. GT data for the selected keywords from 1st of January 2011 to 31st of December 2020 was extracted. Trend analysis was performed using paired t-test between the first half of the decade and the second half of the decade. The different languages used were analysed based on geographical variation using paired t-test. Results The public interest on those keywords was markedly increased in the second half of the decade with 29 out of 30 keywords showing statistically significant difference. Majority of the states preferred to use Malay keywords, especially those residing at the East Coast of Peninsular Malaysia. Conclusion This observational study illustrates the ability of GT to track healthcare interest among Malaysian population. GT provides a good platform to analyse specific healthcare interest in Malaysian population, but investigators have to bear in mind the geographical influence on the language used. Cureus 2022-01-14 /pmc/articles/PMC8846410/ /pubmed/35186541 http://dx.doi.org/10.7759/cureus.21257 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 | Healthcare Technology Kow, Ren Yi Mohamad Rafiai, Norfazilah Ahmad Alwi, Akmal Azim Low, Chooi Leng Rozi, Nur Raziana Nizam Siron, Khairul Zulkifly, Ahmad Hafiz Zakaria@Mohamad, Zamzuri Awang, Mohamed Saufi Malaysian Public Interest in Common Medical Problems: A 10-Year Google Trends Analysis |
title | Malaysian Public Interest in Common Medical Problems: A 10-Year Google Trends Analysis |
title_full | Malaysian Public Interest in Common Medical Problems: A 10-Year Google Trends Analysis |
title_fullStr | Malaysian Public Interest in Common Medical Problems: A 10-Year Google Trends Analysis |
title_full_unstemmed | Malaysian Public Interest in Common Medical Problems: A 10-Year Google Trends Analysis |
title_short | Malaysian Public Interest in Common Medical Problems: A 10-Year Google Trends Analysis |
title_sort | malaysian public interest in common medical problems: a 10-year google trends analysis |
topic | Healthcare Technology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846410/ https://www.ncbi.nlm.nih.gov/pubmed/35186541 http://dx.doi.org/10.7759/cureus.21257 |
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