Dengue Incidence Clusters and Hotspots in the Philippines, 2017–2024

A nationwide spatiotemporal cluster analysis of dengue fever in the Philippines. The dataset covers 1,903,425 reported cases from January 2017 to December 2024 across all provinces. It was created by Kenny Oriel A. Olana and published on figshare in April 2026.

Use Cases

• Identifying dengue hotspots and coldspots based on spatial autocorrelation analysis mentioned in the description
• Analyzing spatiotemporal clustering patterns using Poisson and space-time permutation models described in the study
• Mapping the long-term geographic concentration of cases, such as the high concentration in the National Capital Region
• Evaluating the impact of specific epidemics, like the 2019 outbreak in the Western Visayas region

Strengths

• Covers 1,903,425 dengue cases, providing a substantial case count for analysis
• Uses nationwide data spanning 8 years (2017–2024) for longitudinal study
• Applies multiple spatial analysis techniques, including Moran’s I and Getis-Ord Gi*, as described
• Is the first such national-scale spatiotemporal cluster analysis for dengue in the Philippines, according to the conclusion

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The primary file is a DOCX document (688.4 KB), which may require extraction or conversion for computational analysis

Provenance

Source

Philippine Epidemiology Bureau

Collection Method

Monthly data obtained and analyzed via spatial analysis techniques (Moran’s I, Getis-Ord Gi*) and spatiotemporal scan statistics (Poisson and space-time permutation models).

Time Range

January 2017 to December 2024

Freshness

Last updated 2026-04-22 05:46:21; freshness should be verified

Geography

Nationwide coverage across all provinces in the Philippines