covid19census

covid19census extracts and integrates COVID-19 epidemiological metrics with population-level demographic, environmental, and health-related variables to enable quantitative analysis of factors affecting COVID-19 morbidity and mortality.

Key Features:

• Data Extraction: Functions dynamically extract COVID-19 metrics including cases, deaths, hospitalizations, and testing figures at county-level in the USA and regional-level in Italy.
• Integration with Demographic and Health Variables: Combines health metrics with age distribution, sex, prevalence of chronic conditions (e.g., diabetes), income indices, and access to healthcare services.
• Aggregation of Heterogeneous Sources: Aggregates data from official and unofficial heterogeneous resources into a combined population-level dataset.

Scientific Applications:

• Risk-factor modeling: Enables modeling the effect of diabetes and other covariates on COVID-19 mortality at the county level in the USA.
• Epidemiological analyses across populations: Supports studies of disease dynamics and public-health strategy evaluation by integrating multi-source COVID-19 and population data.

Methodology:

Functions perform dynamic extraction of COVID-19 metrics and aggregate those metrics with additional population-level demographic, environmental, and health-related data to produce a comprehensive dataset.