Surveillance and Early Warning Systems
Cross-source consensus on Surveillance and Early Warning Systems from 1 sources and 5 claims.
1 sources · 5 claims
Uses
How it works
Benefits
Risks & contraindications
Highlighted claims
- AI-driven surveillance is described as a defining feature of advanced dengue management programmes. — Towards an integrated model for dengue management: a scoping review
- Machine learning models such as ARIMA, LSTM, and XGBoost were widely used for dengue outbreak prediction. — Towards an integrated model for dengue management: a scoping review
- China's iIDSAW system combined epidemiological, meteorological, and mobility data to provide real-time alerts. — Towards an integrated model for dengue management: a scoping review
- GIS-based spatial mapping improved detection speed and epidemic response in Puerto Rico and Mexico. — Towards an integrated model for dengue management: a scoping review
- Digital infrastructure gaps, data delays, and cybersecurity concerns limit real-time transmission monitoring in Africa and parts of Latin America. — Towards an integrated model for dengue management: a scoping review