TerraHealth
Powering a Global Decision Engine for Climate-Sensitive Disease Forecasting
TerraHealth
Powering a Global Decision Engine for Climate-Sensitive Disease Forecasting
Planetary Health Informatics — AI for People and Planet
ABOUT.
Building a Planetary Immune System
TerraHealth is a climate-health AI platform that learns a shared spatiotemporal representation from multiple geospatial and predictive models, enabling the generation of task-specific disease forecasting models. Rather than training a single model from data, TerraHealth integrates knowledge across EO and health models to improve generalisation across regions and diseases. This framework combines multi-modal EO data, EHR records, and federated analytics to deliver scalable, anticipatory decision support for infectious and selected non-communicable diseases.
Three Pillars of Planetary Intelligence
Environmental Monitoring & Emissions
Tracking industrial pollutants, forest loss, and precise atmospheric shifts.
Predictive Public Health
Anticipating disease vector spread through climate and demographic data fusion.
Anticipatory Disaster Response
Modelling catastrophic weather and hydrological events before they strike.
Environmental Monitoring & Emissions
Tracking industrial pollutants, forest loss, and precise atmospheric shifts.
Predictive Public Health
Anticipating disease vector spread through climate and demographic data fusion.
Anticipatory Disaster Response
Modelling catastrophic weather and hydrological events before they strike.
PROJECTS.
Explore our
PHI Oxford
research projects
- AI fairness across demographics
- Clinical NLP for low-resource settings
- Women's health & menstrual equity
- Climate change & human health
- Digital Public Infrastructure
PHI Lab
University of Oxford
Ethnicity, Health Equity & AI
Fair & Safe Medical AI
Menstrual Health in Low-Resource Settings
Predicting Malaria Outbreaks
West Africa Climate & Health Consortium
LLM Clinical Note Processing
Debiasing Healthcare AI
Emissions Sources Detection
Global AI Health Equity Hub
An open collaborative platform for sharing debiasing tools, fairness benchmarks, and validated AI models across health systems in LMICs — a global commons for equitable health AI.
TOOLS.
Browse our catalogue of available tools — built by the Planetary Health Informatics Lab to turn data into decisions.
Cyclone
Analysing cyclone patterns, intensity trends, and population health impacts to support climate-sensitive disease forecasting and early warning systems.
GeoInsight AI
AI-powered platform combining satellite data with health records for precision environmental intelligence.
Aabpashi
Irrigation and water resource intelligence dashboard monitoring scarcity, access, and drought risk across South Asia.
Flood Analyzer
Advanced flood risk simulation and infrastructure impact analysis. Multi-hazard forecasting at watershed scale.
Emission × ARI
Mapping industrial emission sources against acute respiratory infections using Google Earth Engine.
Flood Lens
High-resolution flood monitoring and inundation mapping using multi-spectral satellite imagery at planetary scale.
SERVICES.
Geospatial intelligence and AI-driven monitoring services from the PHI Lab — turning Earth Observation into actionable health insights.
Illegal Kiln Activity Tracking
Carbon Footprint Tracking
Smog Detection
Flood Mapping & Health Risk Analysis
Methane Hotspots Detection
Emission Sources Detection
DATASETS.
Open and curated geospatial health datasets produced by the PHI Lab — available for research and collaboration.
ARI & Brick Kiln Exposure Dataset
Geospatial dataset linking brick kiln locations across South Asia to acute respiratory infection (ARI) incidence using satellite-derived emission indices.
Malaria Climate Risk Dataset
Multi-year dataset combining MODIS land surface temperature, precipitation, and NDVI with malaria case counts across Sub-Saharan Africa for predictive modelling.
Brick Kiln Locations Dataset
Machine-learning-derived map of >100,000 brick kilns across Pakistan, India, and Bangladesh extracted from Sentinel-2 and Google Earth Engine imagery.
Flood Inundation & Health Outcomes
Satellite-derived flood extent maps (Sentinel-1 SAR) linked to district-level morbidity records across South and South-East Asia — 2015–2023.
Heat Stress & NCD Risk Dataset
ERA5 reanalysis heat stress indices (WBGT, HI) cross-referenced with cardiovascular and diabetic emergency admissions across urban South Asian hospitals.
Dengue & Earth Observation Dataset
Merged dataset of Aedes aegypti habitat suitability (NDWI, urban heat, rainfall) with weekly dengue surveillance records across 12 countries, 2010–2024.
PUBLICATIONS.
Peer-reviewed research from the Planetary Health Informatics Lab — advancing equitable AI in global health.
TerraHealth: A Multi-Modal Foundation Model for Climate-Sensitive Disease Forecasting
Khalid S, Hassan M, West J, Collins GS, Tarassenko L · The Lancet Digital Health
Equitable AI for Acute Respiratory Infections: Linking Brick Kiln Emissions to Disease Burden Across South Asia
Khalid S, Nazir U, Raza A, Ahmad T, Collins GS · npj Digital Medicine
Debiasing Clinical AI: A Systematic Framework for Subgroup Fairness in EHR-Based Models
Khalid S, Sperrin M, Martin GP, Peek N · JAMIA — Journal of the American Medical Informatics Association
CONTACT.
University of Oxford · PHI LabLET'S BUILD
EQUITABLE HEALTH
TOGETHER.
For more information and details
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