CoViNAR: a context-aware social media dataset for pandemic severity level prediction and analysis
The results demonstrate the effectiveness of the proposed approach in capturing real-time indicators of resource shortages and availability. The strong correlation with case surges underscores its potential as a proactive tool for public health authorities, enabling improved resource allocation and early crisis intervention during pandemics.
Authors
- Suraiya Jabin (ORCID: https://orcid.org/0000-0002-0648-2616)
- Soofi Shafiya
- Jahiruddin
- Mudasir Ahmad Wani (ORCID: https://orcid.org/0000-0002-6947-3717)
- Mohammad ELAffendi
Institutions
- Prince Sultan University (SA)
- Jamia Millia Islamia (IN)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-08-20
- DOI
- https://doi.org/10.3389/frai.2025.1623090
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Prince Sultan University