Digital divide, biometeorological data infrastructures and human vulnerability definition.

Area of Science:

• Environmental Health
• Biometeorology
• Climate Services

Background:

• Climate change poses significant health risks, necessitating advanced services.
• Digital divide challenges access to climate-related health information and tools.
• Integrating meteorological and biophysical data is crucial for understanding health impacts.

Purpose of the Study:

• To present the co-creation of a comprehensive biometeorological data infrastructure.
• To develop a system that maps atmospheric oxygen and collects user health data.
• To establish a foundation for personalized climate services and biometeorological risk assessment.

Main Methods:

• Co-creation of a multi-component biometeorological data infrastructure.
• Development of the Pronbiomet biometeorological model.
• Integration of a mainframe, database, software, and mobile application.
• Generation of daily world maps of atmospheric oxygen partial density.
• Collection of user health condition feedback.

Main Results:

• The infrastructure successfully integrates diverse data sources and components.
• Daily world maps of atmospheric oxygen partial density are produced.
• User feedback on health conditions is systematically collected.
• The system demonstrates utility in assessing individual vulnerability to meteorological changes.

Conclusions:

• The developed biometeorological data infrastructure is a valuable tool for understanding weather-related health impacts.
• This technological approach facilitates the definition of individual biometeorological profiles.
• The infrastructure serves as a basis for future customized climate services, addressing the digital divide.