Leveraging Google Trends to identify Indonesian tuberculosis trends before and after the implementation of a national mandatory notification system.
Google trends
TB incidence
Tuberculosis
Tuberculosis surveillance
Journal
The Indian journal of tuberculosis
ISSN: 0019-5707
Titre abrégé: Indian J Tuberc
Pays: India
ID NLM: 0373027
Informations de publication
Date de publication:
Jul 2024
Jul 2024
Historique:
received:
01
04
2022
revised:
20
04
2023
accepted:
10
05
2023
medline:
8
8
2024
pubmed:
8
8
2024
entrez:
7
8
2024
Statut:
ppublish
Résumé
Tuberculosis (TB) burden and the underreporting of TB remain major health challenges in Indonesia. Interest in the internet is growing extensively, and the introduction of the TB mandatory electronic notification system in 2017 engaged the public's interest to leverage digital traces regarding TB information in Indonesia. To quantify the correlation between Google Trends data and Indonesian TB surveillance data before and after the implementation of a mandatory TB notification system. Google Trends searches on TB information were used. We used two sets of time series data, including before and after the launch of the TB notification system. Pearson's correlation was used to measure the correlation between TB search terms and official TB reports. The moving average graph showed a linear pattern of TB information with TB reports after 2017. Pearson's correlation estimated a high correlation for TB definition, TB symptoms, and official TB reports with an R-value range of 0.97 to -1.00 (p ≤ 0.05) and showed an increasing trend in TB information searching after 2016. Google Trends data can depict public interest in the TB epidemic. Validation of information-searching behavior is required to advocate the implementation of Google Trends for TB digital surveillance in Indonesia.
Sections du résumé
BACKGROUND
BACKGROUND
Tuberculosis (TB) burden and the underreporting of TB remain major health challenges in Indonesia. Interest in the internet is growing extensively, and the introduction of the TB mandatory electronic notification system in 2017 engaged the public's interest to leverage digital traces regarding TB information in Indonesia.
OBJECTIVE
OBJECTIVE
To quantify the correlation between Google Trends data and Indonesian TB surveillance data before and after the implementation of a mandatory TB notification system.
METHODS
METHODS
Google Trends searches on TB information were used. We used two sets of time series data, including before and after the launch of the TB notification system. Pearson's correlation was used to measure the correlation between TB search terms and official TB reports.
RESULTS
RESULTS
The moving average graph showed a linear pattern of TB information with TB reports after 2017. Pearson's correlation estimated a high correlation for TB definition, TB symptoms, and official TB reports with an R-value range of 0.97 to -1.00 (p ≤ 0.05) and showed an increasing trend in TB information searching after 2016.
CONCLUSION
CONCLUSIONS
Google Trends data can depict public interest in the TB epidemic. Validation of information-searching behavior is required to advocate the implementation of Google Trends for TB digital surveillance in Indonesia.
Identifiants
pubmed: 39111935
pii: S0019-5707(23)00095-1
doi: 10.1016/j.ijtb.2023.05.009
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
276-283Informations de copyright
Copyright © 2023 Tuberculosis Association of India. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Conflicts of interest The authors have none to declare.