53 Tuberculosis-related search terms in Indonesian are correlated with official reported TB cases nationwide. The data is categorized by aspects such as general terms, symptoms, drugs, prevention, and pediatric-related TB. The dataset is supplementary material for a study authored by Sri Ratna Rahayu and was last updated in April 2026.
Use Cases
- Analyzing correlations between public health events and online search interest based on categorized TB-related terms.
- Training predictive models for disease surveillance based on the correlation between Relative Search Volume and reported cases.
- Studying public awareness and information-seeking patterns for different aspects of TB, such as symptoms and prevention.
- Investigating the relationship between pediatric TB search trends and reported cases in children and infants.
Strengths
- Correlation analysis is based on 53 specific TB-related search terms.
- Data covers a five-year time range from 2019 to 2023.
- Search terms are categorized into seven distinct aspects of TB.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is 17.6 KB, indicating a very limited scope of data.
Provenance
- Source
- figshare
- Collection Method
- Infodemiology method using Google Trends.
- Time Range
- 2019-2023
- Freshness
- Last updated 2026-04-09 05:12:13; freshness should be verified.
- Geography
- Indonesia