Dengue Hospitalization Forecasts with Climate and Physician Search Data

Model diagnostics under ideal-data conditions evaluates short-term forecasts of dengue hospitalizations in Brazil. The dataset combines weekly hospitalization counts, climatic indicators, and anonymized physician search records from a clinical decision-support platform. The 25.9 KB CSV file was authored by Dayanna Quintanilha Palmer and last updated on 2026-05-29.

Use Cases

• Forecasting dengue hospitalization trends based on historical hospitalization data.
• Evaluating the predictive value of climatic indicators for disease outbreaks.
• Assessing real-time digital signals, such as physician search patterns, for early disease detection.
• Comparing model performance under ideal (timely) versus realistic (delayed) data reporting scenarios.

Strengths

• Integrates three complementary data sources: hospitalization counts, climate data, and physician search records.
• Model performance is evaluated under two distinct reporting scenarios, providing a realistic assessment framework.
• The dataset is openly licensed under CC-BY-4.0.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Dayanna Quintanilha Palmer via figshare.

Collection Method

Combines weekly hospitalization data, climatic indicators, and anonymized physician search records from a clinical decision-support platform.

Freshness

Last updated 2026-05-29 17:38:34; freshness should be verified.

Geography

Brazil