COnVIDa

COnVIDa integrates multidisciplinary COVID-19 datasets to enable analysis of health, social, and mobility drivers of the pandemic.

Key Features:

• Multidisciplinary data collection: Aggregates data from diverse sources including health variables such as infection rates and mortality and social factors such as mobility patterns.
• Data integration and harmonization: Supports joining and comparing datasets to enable combined analyses across sources.
• Centralized multidisciplinary repository: Provides a centralized, integrated dataset to support data-driven decision-making and research.
• Open-science framework: Operates under an open-science model enabling transparency, data sharing, and extensibility to different regions worldwide.
• Catalyst for scientific research: Supports epidemiological and socio-economic investigations and the assessment of intervention strategies related to COVID-19 and other pandemics.

Scientific Applications:

• Pandemic trend analysis: Enables analysis of temporal and spatial trends in COVID-19 incidence and outcomes.
• Assessment of intervention strategies: Facilitates evaluation of public-health interventions using integrated health and mobility data.
• Socio-economic impact analysis: Supports exploration of socio-economic impacts of the pandemic by linking social and health datasets.
• Epidemiological studies: Provides aggregated infection rates and mortality data for epidemiological investigations.
• Public policy research: Supplies integrated datasets for research on policy decisions and their effects during the pandemic.

Methodology:

COnVIDa employs data collection and integration methods, sources data from multiple reliable channels, and uses an architecture that enables data joining and comparison across datasets.