Italian regional data from February 24th to March 18th, 2020, on SARS-CoV-2 tests, positive cases, deaths, and ICU admissions. The dataset was compiled by Edoardo Mannucci of the University of Florence to analyze the association between different testing strategies and severe health outcomes. It includes regional-level metrics such as the tests-per-positive ratio, deaths per million inhabitants, and severe cases.
Use Cases
- Modeling the association between testing intensity and mortality rates based on the tests-per-positive ratio.
- Analyzing regional disparities in COVID-19 outcomes based on socio-economic factors like mean personal income.
- Assessing the correlation between healthcare resource density, such as General Practitioner availability, and severe disease incidence.
Strengths
- Data covers all Italian regions over a defined period from February 24th to March 18th, 2020.
- Analysis includes statistical results (R2 values and p-values) for correlations between testing strategy and outcomes.
- Study adjusts for confounding variables like mean personal income and General Practitioner density.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- University of Florence
- Collection Method
- Data on new cases, tests, deaths, and ICU admissions were retrieved for each Italian Region.
- Time Range
- February 24th to March 18th, 2020
- Geography
- Italy, regional-level