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Enhancing epidemic preparedness: a data-driven system for managing respiratory infections
Moslem Sarani1, Katayoun Jahangiri2, Manoochehr Karami3
1Department of Health in Disasters and Emergencies, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
BMC Infectious Diseases
|February 3, 2025
Summary
This study developed a data-driven early warning system (EWS) using Microsoft Power BI to enhance epidemic preparedness for respiratory infections (RIs). The system integrates diverse data for improved outbreak detection and public health decision-making.
Area of Science:
- Public Health Informatics
- Epidemiology
- Health Systems Management
Background:
- Effective epidemic preparedness is crucial for mitigating the impact of viral respiratory infections.
- A data-driven early warning system (EWS) was developed to enhance outbreak detection and response.
- Microsoft Power BI's data integration and visualization capabilities were utilized.
Purpose of the Study:
- To design and develop a respiratory infections (RIs) management dashboard.
- To integrate diverse data sources for comprehensive analysis.
- To improve early outbreak detection and epidemic management.
Main Methods:
- A three-phase approach was used: literature reviews/expert interviews, Power BI dashboard development, and usability testing.
- Data integration from diverse sources into a relational database schema.
- Usability testing with health professionals to refine visualization and filtering.
Main Results:
- The dashboard visualizes epidemiological trends, intervention outcomes, and resource utilization.
- Key data include individual (age, symptoms, vaccination) and population-level (infection rates, coverage) metrics.
- Functionalities include identifying high-risk individuals, tracking infection dynamics, and optimizing resource allocation.
Conclusions:
- The prototype EWS offers a scalable framework for public health applications, particularly for RIs.
- It provides decision-makers with critical epidemiological indicators for early detection and management.
- Further real-world evaluation is needed to confirm its impact on public health outcomes and crisis mitigation.
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