H4P OutbreakShield™ is an advanced digital solution for monitoring, alerting and rapid response to foodborne and zoonotic outbreaks (such as avian influenza), based on geolocation, AI and predictive analytics technologies. This tool is part of the Health4Planet (H4P) ecosystem and is designed for health authorities, emergency services, insurers and public administrations.
Its goal: to reduce avoidable hospitalisations, accelerate emergency response and reduce the economic and health impact of localised epidemics.
Available as a SaaS, API or integrable solution in municipal, regional and hospital ecosystems.
Request a demo or pilot adapted to your municipality, insurance company or health region.
What does OutbreakShield™ do?
- Identifies risk areas in real time based on environmental data, human mobility and presence of active outbreaks.
- Launches geolocated alerts for citizens, health services and authorities in at-risk areas.
- Predicts patterns of spread using AI and simulations, allowing action to be taken before an outbreak spreads.
- Optimises health resources: informs which areas will need more medical attention and which measures should be prioritised (quarantines, preventive closures, information campaigns).
Available add-ons:
- Digital twin-style scenario simulation module for training containment policies.
- Dashboards for municipalities and regions: resource prioritization, real-time reporting, and risk traffic light alerts.
- API for insurers and public health platforms
Estimated economic impact:
Avoidable hospitalizations:
In Catalonia, the estimated cost of hospitalizations due to influenza amounts to €7.3 million annually.
H4P OutbreakShield™ can reduce unnecessary hospitalizations by 60–70%, according to evidence from studies of previous pandemics.
Estimated savings: up to €5 million/year in Catalonia alone.
Reduction in detection time:
Similar technologies have been shown to detect outbreaks 7–10 days earlier than traditional methods.
This allows for strategic decisions before healthcare services become overwhelmed.
Emergency Department wait time (Catalonia):
Current average: 62 minutes.
With predictive and alert systems like H4P Outbreak Shield™, a significant reduction is expected, improving hospital efficiency and the citizen experience.
Technology and methodology:
- Active monitoring of human mobility and climate data (satellite sources, IoT sensors, municipal data).
- Outbreak and spread prediction models trained with historical datasets and dynamic simulations.
- Advanced mapping interface with customizable layers: health, food, climate, population density.
Integration with citizen mobile apps and interoperable healthcare systems (FHIR, HL7, APIs).
Differential advantages:
- Aligned with national and European strategies (PNSMA, PERTE, Cutting-Edge Health, Green Deal, STEP).
- Based on validated studies on the effectiveness of outbreak response.
- Directly contributes to SDGs 3, 13, and 10 (health, climate change, and reducing inequalities).
- Reduces health and human costs by anticipating measures before it's too late.
Main use cases:
- Containment of zoonotic outbreaks (such as avian influenza) in rural areas near farms or food processing centers.
- Coordination of inter-institutional responses: between public health, emergency services, municipalities, and citizen communications.
- Selective prevention campaigns in high-exposure areas based on geographic risk and mobility.
- Redesign of health protocols based on predictive evidence rather than delayed reactions.
