A cross-sectional ecological study calculated disease-specific mortality rates and ICU resource rates per 100,000 inhabitants across Brazil's Health Regions. Rafael da Silveira Moreira used data from the Brazilian Health Informatics Department (DATASUS) for 2017 and 2019. Four latent mortality profiles were identified, with regions showing high mortality and resource shortages concentrated in parts of the Northeast, Southeast, and South.
Use Cases
- Identify regions with ICU bed shortages based on calculated rates per 100,000 inhabitants.
- Cluster Health Regions by mortality profiles based on latent profiles analysis for hypertension, neoplasms, diabetes, cardiac, and respiratory diseases.
- Visualize spatial distribution of resource shortages and mortality using kernel maps.
- Support policy decisions for COVID-19 response based on combined mortality and resource data.
Strengths
- Data sourced from the official Brazilian Health Informatics Department (DATASUS).
- Analysis covers multiple disease groups (hypertension, neoplasms, diabetes, cardiac, respiratory) and resource types (ICU beds, ventilators).
- Uses spatial scan method and kernel maps for geographic visualization.
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
- Brazilian Health Informatics Department (DATASUS)
- Collection Method
- Calculated rates from National Registry of Healthcare Establishments (2019), Mortality Information Systems (2017), and Population Projections (2017).
- Time Range
- 2017-2019
- Geography
- Brazil, analyzed by Health Regions