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An intelligent early-warning service for Mosquito Activity & Risk.
The CONOPS Mosquito Movement service combines Earth observation, climate reanalysis, environmental indicators and epidemiological records to forecast mosquito presence and abundance, supporting public health protection and decision-making.
What the service provides
- Probability maps of mosquito presence
- Relative mosquito abundance estimates
- NUTS2 regional predictive intelligence
- Explainable AI highlighting key drivers
- Operational workflow & downloadable outputs
About the models
The service provides two pretrained model families:
- Presence model — probability of mosquito presence
- Abundance model — expected mosquito density
Powered by EO data, climate reanalysis, terrain & hydrology indicators and epidemiological datasets.
How it works
- Select region & prediction date
- Submit prediction order
- Processing
- View & download results
Team & Initiative
Developed under Destination Earth by a multidisciplinary team in Earth Observation, epidemiology, climate science and AI. For advanced deployments or collaboration, please contact your project officer.
Available to All DestinE Users
Users can request mosquito activity predictions in regions where the service already provides pre-trained models. Results can be explored directly through the platform viewer with transparency provided through integrated explainability tools.
- Access to pre-trained model regions
- Presence & abundance predictions
- In-platform visualisation
- Explainable AI interpretation
Extended Capabilities
Advanced users gain access to extended operational features intended for research teams, public authorities, and institutional deployments.
- Export capabilities (CSV / GeoJSON) available to advanced users only
- Ability to submit training enquiries for new geographic areas
- Support for custom model deployments and extended coverage
- Priority interaction with the CONOPS service team
To become an advanced user, please contact the CONOPS team at:
