Temperature and precipitation differently influence entomological indices based on larval

Rafael Freitas published a dataset on 2026-05-27 analyzing the influence of temperature and precipitation on Aedes aegypti mosquito populations. The data integrates entomological indices from LIRAa larval surveys and Adultrap traps with meteorological data from Foz do Iguaçu, Brazil. Statistical analysis was performed using Generalized Linear Mixed Models (GLMM) and the Akaike Information Criterion (AIC).

Use Cases

• Modeling larval infestation risk based on temperature and precipitation data mentioned in the description.
• Comparing the predictive power of larval indices (HI, BI) versus adult indices (TPI, ADI) for vector monitoring.
• Informing integrated vector control strategies by analyzing the impact of climatic seasonality on mosquito behavior.

Strengths

• Dataset integrates entomological and meteorological data, a key feature described.
• Analysis uses specific statistical methods (GLMM, AIC) as detailed in the description.
• Focuses on a specific municipality (Foz do Iguaçu, Brazil), providing localized insights.

Limitations

• Dataset size is 40.4 KB, indicating a very limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Rafael Freitas

Collection Method

Data likely gathered from LIRAa larval surveys and Adultrap traps integrated with meteorological records.

Freshness

Last updated 2026-05-27 19:07:50; freshness should be verified.

Geography

Foz do Iguaçu, Brazil