Google Earth AI is enhancing global public health by delivering planetary intelligence that improves the precision of disease forecasting, vaccination mapping, and chronic disease management. Through strategic partnerships, the technology enables decision-makers to allocate resources more efficiently and act before health crises escalate. In Malawi, a project supported by a Google.org grant involved researchers from Cooper/Smith. They integrated Earth AI's Population Dynamics Foundation Model (PDFM) and AlphaEarth satellite embeddings with local data to predict health service utilization at specific clinics. This granular forecasting allows authorities to detect early warning signs of disease outbreaks and distribute limited medical resources where they are needed most. To address the resurgence of measles, researchers at Mount Sinai and Boston Children's Hospital, in collaboration with Harvard, utilized PDFM to generate superresolution estimates of vaccination coverage. By analyzing privacy-preserving, aggregated data, they produced maps showing vaccination rates at the ZIP-code level without compromising sensitive personal information. This approach successfully identified localized clusters of undervaccination that correlate with recent outbreaks, enabling targeted interventions. Weather and geography significantly influence the spread of infectious diseases, making accurate forecasting critical. Google collaborated with the WHO Regional Office for Africa to evaluate a sub-national model for cholera cases. By combining Google's TimesFM time-series model with PDFM and weather data, the team improved forecasting accuracy by over 35% compared to standard models. Better predictions allow health officials to proactively move life-saving supplies, such as rehydration fluids, to affected areas before a crisis peaks. Similarly, researchers at the University of Oxford applied Earth AI models to improve dengue fever forecasting in Brazil. Incorporating PDFM embeddings significantly boosted the accuracy of six-month predictions, providing local authorities with additional time to implement preventative measures against summer rains that often trigger epidemics. Beyond infectious diseases, Earth AI is also addressing non-communicable conditions. In Australia, the Victor Chang Cardiac Research Institute, Wesfarmers Health, and Latrobe Health Services partnered to deploy Population Health AI (PHAI). Currently in a proof-of-concept phase, PHAI leverages PDFM embeddings alongside data on air quality, pollen, and local geography to understand the health needs of rural communities. This initiative aims to support prevention efforts and better manage chronic disease needs in underserved regions. By fusing Google's planetary intelligence with deep health expertise from global partners, the initiative aims to build a future where health systems worldwide possess the data-driven insights necessary to protect and improve public health. The convergence of satellite imagery, advanced modeling, and local data transforms raw information into actionable strategies, shifting the global health paradigm from reactive response to proactive protection.