Dengue Cases in Ceará, Brazil: Spatiotemporal Analysis from 2001 to 2019

Ceará state in northeastern Brazil recorded 539,653 dengue cases between 2001 and 2019. The dataset, compiled by Ana Beatriz Souza Martins, includes segmented log-linear regression analysis of incidence trends and spatiotemporal clustering of relative risk. It identifies high-risk and low-risk cluster regions across three distinct time periods within the study.

Use Cases

• Modeling temporal trends in dengue incidence based on the reported average annual percentage change (AAPC).
• Identifying high-risk spatial clusters for targeted interventions based on the calculated relative risk (RR) values.
• Analyzing the impact of new dengue serotype introductions in low-risk areas based on the susceptibility hypothesis mentioned.
• Comparing epidemic patterns across different time periods (2001-2004, 2005-2015, 2016-2019) based on the segmented trend analysis.

Strengths

• Contains 539,653 dengue case records, providing a substantial observational base.
• Covers a long temporal span of 19 years (2001-2019), allowing for longitudinal trend analysis.
• Includes specific statistical outputs like average annual percentage change (AAPC) and relative risk (RR) clusters for defined periods.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Ana Beatriz Souza Martins

Collection Method

Spatiotemporal ecological study performed with secondary data, as described in the paper abstract.

Time Range

2001 to 2019

Geography

Ceará state, northeastern Brazil