Forecasting tuberculosis using diabetes-related google trends data.
Diabetes
Forecasting
Google Trends
Surveillance
Tuberculosis
Journal
Pathogens and global health
ISSN: 2047-7732
Titre abrégé: Pathog Glob Health
Pays: England
ID NLM: 101583421
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
pubmed:
27
5
2020
medline:
22
6
2021
entrez:
27
5
2020
Statut:
ppublish
Résumé
Online activity-based data can be used to aid infectious disease forecasting. Our aim was to exploit the converging nature of the tuberculosis (TB) and diabetes epidemics to forecast TB case numbers. Thus, we extended TB prediction models based on traditional data with diabetes-related Google searches. We obtained data on the weekly case numbers of TB in Germany from June 8
Identifiants
pubmed: 32453658
doi: 10.1080/20477724.2020.1767854
pmc: PMC7480530
doi:
Types de publication
Evaluation Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
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