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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2022
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.
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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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