Cargando…

Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan

BACKGROUND: Google Trends has demonstrated the capability to both monitor and predict epidemic outbreaks. The connection between Internet searches for dementia information and dementia incidence and dementia-related outpatient visits remains unknown. OBJECTIVE: This study aimed to determine whether...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Ho-Wei, Chen, Duan-Rung, Yu, Hsiao-Wei, Chen, Ya-Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704919/
https://www.ncbi.nlm.nih.gov/pubmed/26586281
http://dx.doi.org/10.2196/jmir.4516
_version_ 1782408934183665664
author Wang, Ho-Wei
Chen, Duan-Rung
Yu, Hsiao-Wei
Chen, Ya-Mei
author_facet Wang, Ho-Wei
Chen, Duan-Rung
Yu, Hsiao-Wei
Chen, Ya-Mei
author_sort Wang, Ho-Wei
collection PubMed
description BACKGROUND: Google Trends has demonstrated the capability to both monitor and predict epidemic outbreaks. The connection between Internet searches for dementia information and dementia incidence and dementia-related outpatient visits remains unknown. OBJECTIVE: This study aimed to determine whether Google Trends could provide insight into trends in dementia incidence and related outpatient visits in Taiwan. We investigated and validated the local search terms that would be the best predictors of new dementia cases and outpatient visits. We further evaluated the nowcasting (ie, forecasting the present) and forecasting effects of Google Trends search trends for new dementia cases and outpatient visits. The long-term goal is to develop a surveillance system to help early detection and interventions for dementia in Taiwan. METHODS: This study collected (1) dementia data from Taiwan’s National Health Insurance Research Database and (2) local Internet search data from Google Trends, both from January 2009 to December 2011. We investigated and validated search terms that would be the best predictors of new dementia cases and outpatient visits. We then evaluated both the nowcasting and the forecasting effects of Google Trends search trends through cross-correlation analysis of the dementia incidence and outpatient visit data with the Google Trends data. RESULTS: The search term “dementia + Alzheimer’s disease” demonstrated a 3-month lead effect for new dementia cases and a 6-month lead effect for outpatient visits (r=.503, P=.002; r=.431, P=.009, respectively). When gender was included in the analysis, the search term “dementia” showed 6-month predictive power for new female dementia cases (r=.520, P=.001), but only a nowcasting effect for male cases (r=.430, P=.009). The search term “neurology” demonstrated a 3-month leading effect for new dementia cases (r=.433, P=.008), for new male dementia cases (r=.434, P=.008), and for outpatient visits (r=.613, P<.001). CONCLUSIONS: Google Trends established a plausible relationship between search terms and new dementia cases and dementia-related outpatient visits in Taiwan. This data may allow the health care system in Taiwan to prepare for upcoming outpatient and dementia screening visits. In addition, the validated search term results can be used to provide caregivers with caregiving-related health, skills, and social welfare information by embedding dementia-related search keywords in relevant online articles.
format Online
Article
Text
id pubmed-4704919
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher JMIR Publications Inc.
record_format MEDLINE/PubMed
spelling pubmed-47049192016-01-25 Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan Wang, Ho-Wei Chen, Duan-Rung Yu, Hsiao-Wei Chen, Ya-Mei J Med Internet Res Original Paper BACKGROUND: Google Trends has demonstrated the capability to both monitor and predict epidemic outbreaks. The connection between Internet searches for dementia information and dementia incidence and dementia-related outpatient visits remains unknown. OBJECTIVE: This study aimed to determine whether Google Trends could provide insight into trends in dementia incidence and related outpatient visits in Taiwan. We investigated and validated the local search terms that would be the best predictors of new dementia cases and outpatient visits. We further evaluated the nowcasting (ie, forecasting the present) and forecasting effects of Google Trends search trends for new dementia cases and outpatient visits. The long-term goal is to develop a surveillance system to help early detection and interventions for dementia in Taiwan. METHODS: This study collected (1) dementia data from Taiwan’s National Health Insurance Research Database and (2) local Internet search data from Google Trends, both from January 2009 to December 2011. We investigated and validated search terms that would be the best predictors of new dementia cases and outpatient visits. We then evaluated both the nowcasting and the forecasting effects of Google Trends search trends through cross-correlation analysis of the dementia incidence and outpatient visit data with the Google Trends data. RESULTS: The search term “dementia + Alzheimer’s disease” demonstrated a 3-month lead effect for new dementia cases and a 6-month lead effect for outpatient visits (r=.503, P=.002; r=.431, P=.009, respectively). When gender was included in the analysis, the search term “dementia” showed 6-month predictive power for new female dementia cases (r=.520, P=.001), but only a nowcasting effect for male cases (r=.430, P=.009). The search term “neurology” demonstrated a 3-month leading effect for new dementia cases (r=.433, P=.008), for new male dementia cases (r=.434, P=.008), and for outpatient visits (r=.613, P<.001). CONCLUSIONS: Google Trends established a plausible relationship between search terms and new dementia cases and dementia-related outpatient visits in Taiwan. This data may allow the health care system in Taiwan to prepare for upcoming outpatient and dementia screening visits. In addition, the validated search term results can be used to provide caregivers with caregiving-related health, skills, and social welfare information by embedding dementia-related search keywords in relevant online articles. JMIR Publications Inc. 2015-11-19 /pmc/articles/PMC4704919/ /pubmed/26586281 http://dx.doi.org/10.2196/jmir.4516 Text en ©Ho-Wei Wang, Duan-Rung Chen, Hsiao-Wei Yu, Ya-Mei Chen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.11.2015. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Wang, Ho-Wei
Chen, Duan-Rung
Yu, Hsiao-Wei
Chen, Ya-Mei
Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan
title Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan
title_full Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan
title_fullStr Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan
title_full_unstemmed Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan
title_short Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan
title_sort forecasting the incidence of dementia and dementia-related outpatient visits with google trends: evidence from taiwan
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704919/
https://www.ncbi.nlm.nih.gov/pubmed/26586281
http://dx.doi.org/10.2196/jmir.4516
work_keys_str_mv AT wanghowei forecastingtheincidenceofdementiaanddementiarelatedoutpatientvisitswithgoogletrendsevidencefromtaiwan
AT chenduanrung forecastingtheincidenceofdementiaanddementiarelatedoutpatientvisitswithgoogletrendsevidencefromtaiwan
AT yuhsiaowei forecastingtheincidenceofdementiaanddementiarelatedoutpatientvisitswithgoogletrendsevidencefromtaiwan
AT chenyamei forecastingtheincidenceofdementiaanddementiarelatedoutpatientvisitswithgoogletrendsevidencefromtaiwan