This community innovation has been accepted at the 2026 DHIS2 Annual Conference and will be included in C&H academy.
Air Quality and ARI Data Integration in DHIS2
Urban respiratory health has become a complex policy challenge as infectious disease dynamics, environmental degradation, and economic productivity converge in large metropolitan areas. Recent concern over highly transmissible influenza-like illnesses, often termed “superflu,” has highlighted how rapidly respiratory threats can disrupt health systems and urban life. In Jakarta, recurrent episodes of poor air quality driven by traffic and industrial emissions coincide with more than 2.5 million reported acute respiratory infection cases in 2025, reflecting not only clinical burden but also socio-economic vulnerability. This study presents an applied implementation of cross-sector data integration within the District Health Information System 2 (DHIS2). Air quality indicators, PM2.5, PM10, NO₂, CO, SO₂, and O₃, were aligned with routine acute respiratory infection surveillance data and visualized through DHIS2 dashboards to support contextual interpretation of respiratory trends. The integrated system enables health officers to differentiate environmentally driven fluctuations from potential outbreak signals and provides a shared evidence base for health, environmental, and economic planning actors. The findings demonstrate that embedding environmental data within DHIS2 enhances situational awareness, strengthens whole-of-government collaboration, and links respiratory surveillance with urban productivity and resilience. The study contributes an operational model for multi-determinant surveillance in megacities and establishes a foundation for future enhancements, including automated alerts and AI-assisted analytics within the DHIS2 ecosystem.
Primary Author: Verry Adrian
Keywords:
DHIS2, acute respiratory infection, air quality, PM2.5, urban health surveillance, digital health integration, cross-sector analytics
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