Replication Data for 'Early Warning Systems and Emergency Declarations During Brazil's Largest Dengue Outbreak' was authored by Lorena Barberia and last updated in April 2026. The dataset contains information on dengue cases, deaths, and public health emergency declarations at federal, state, and municipal levels in Brazil. It was used to assess the timeliness of emergency declarations during the record 2024 dengue epidemic against federal risk guidelines.
Use Cases
- Modeling the association between epidemic severity and emergency declarations based on case and death data.
- Analyzing the timeliness of government responses by comparing declaration dates to established risk thresholds.
- Studying the influence of political factors and primary health care coverage on emergency decision-making.
- Mapping prolonged epidemic risk exposure across Brazilian states and capitals.
Strengths
- Data covers the largest recorded dengue epidemic in Brazil, providing a critical case study.
- Includes multi-level governance data (federal, state, municipal) on emergency declarations.
- Analysis is based on specific federal risk guidelines from 2023 and 2025.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Lorena Barberia Dataverse
- Collection Method
- Collected data on dengue cases, deaths, and public health emergency declarations.
- Time Range
- Focuses on the 2024 dengue epidemic, with analysis using 2023 and 2025 guidelines.
- Freshness
- Last updated 2026-04-27 23:36:40; freshness should be verified.
- Geography
- Brazil, with data at federal, state, and municipal levels.