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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.
Afiliação
  • Kow RY; Department of Orthopaedics, Traumatology & Rehabilitation, International Islamic University Malaysia, Kuantan, MYS.
  • Mohamad Rafiai N; Department of Education and Research, Sultan Ahmad Shah Medical Centre@IIUM (International Islamic University Malaysia), Kuantan, MYS.
  • Ahmad Alwi AA; Department of Plastic and Reconstructive Surgery, International Islamic University Malaysia, Kuantan, MYS.
  • Low CL; Department of Radiology, Sultan Ahmad Shah Medical Centre@IIUM (International Islamic University Malaysia), Kuantan, MYS.
  • Rozi NR; Department of Internal Medicine, International Islamic University Malaysia, Kuantan, MYS.
  • Nizam Siron K; Department of Orthopaedics, Traumatology & Rehabilitation, International Islamic University Malaysia, Kuantan, MYS.
  • Zulkifly AH; Department of Orthopaedics, Traumatology & Rehabilitation, International Islamic University Malaysia, Kuantan, MYS.
  • Zakaria Mohamad Z; Department of Orthopaedics, Traumatology & Rehabilitation, International Islamic University Malaysia, Kuantan, MYS.
  • Awang MS; Department of Neurosurgery, Sultan Ahmad Shah Medical Centre@IIUM (International Islamic University Malaysia), Kuantan, MYS.
Cureus ; 14(1): e21257, 2022 Jan.
Article em En | MEDLINE | ID: mdl-35186541
ABSTRACT
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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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article