Bayesian Model Results for Dengue Incidence in Kanchanaburi, Thailand

Incidence Rate Ratios and posterior diagnostics from a Bayesian negative binomial model analyzing dengue fever in Kanchanaburi. The 5.5 KB XLS file, authored by Khemmanant Khamthong and licensed CC-BY-4.0, was last updated on April 27, 2026.

Use Cases

• Validating Bayesian model convergence based on posterior diagnostics
• Interpreting the effect of covariates on disease risk based on Incidence Rate Ratios
• Comparing statistical modeling approaches for dengue incidence data
• Teaching Bayesian inference for count data using a real-world epidemiological example

Strengths

• File size is 5.5 KB, ensuring fast download and processing.
• License is CC-BY-4.0, permitting broad reuse with attribution.
• Last update timestamp is precisely recorded as 2026-04 27 17:42:50.

Limitations

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

Provenance

Source

figshare

Collection Method

Output from a Bayesian negative binomial statistical model.

Time Range

null

Freshness

Last updated 2026-04-27 17:42:50; freshness should be verified.

Geography

Kanchanaburi, Thailand