Enhancing epidemic preparedness: a data-driven system for managing respiratory infections.

ABSTRACT:

Background

Effective epidemic preparedness is critical for minimizing the health and societal impacts of viral respiratory infections. This study details the development of a data-driven early warning system (EWS) designed to improve outbreak detection and response utilizing the data integration and visualization capabilities of Microsoft Power BI.

Methods

This research utilized a structured three-phase approach to design a respiratory infections (RIs) management dashboard. Phase 1, focused on identifying critical variables through literature reviews and expert interviews. In Phase 2, Microsoft Power BI was employed for dashboard development, integrating data from diverse sources. Phase 3 involved usability testing with health professionals who evaluated navigation, data acc

SUBMITTER: Sarani M 

PROVIDER: S-EPMC11792683 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature