<p>Supplementary datasets supporting analyses of digital attention and epidemiological bur

444.5 KB of supplementary data in 11 Excel sheets supporting analyses of digital attention and disease burden. The dataset includes cleaned Google News headlines, YouTube comments, sentiment annotations, and platform-specific attention counts for neglected tropical diseases in India. It was authored by Ruchishree Konhar and last updated on March 18, 2026.

Use Cases

• Analyze correlations between disease burden and digital attention based on the merged burden–attention dataset.
• Conduct sentiment analysis on public discourse based on the sentiment-annotated news and YouTube comments sheets.
• Model platform-specific public engagement based on the platform-specific attention counts sheet.
• Study the content of online news coverage based on the cleaned Google News dataset.

Strengths

• Data is structured across 11 distinct sheets, each focused on a specific aspect of the analysis.
• Includes both raw and cleaned versions of data, such as YouTube comments and Google News.
• Released under a permissive CC-BY-4.0 license for open use.

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 small at 444.5 KB, indicating a limited scope of data.

Provenance

Source

figshare

Collection Method

Likely compiled from Google News API, YouTube, and epidemiological reports, as suggested by sheet descriptions.

Freshness

Last updated 2026-03-18 17:28:13; freshness should be verified.

Geography

India