CCHFV Distribution Model Outcomes with Climate and Ecological Variables

A 9.5 KB Excel file summarizes outcomes from algorithms modelling the distribution of Crimean-Congo hemorrhagic fever virus (CCHFV). The dataset, authored by Agustín Estrada-Peña and last updated in May 2026, compares models using combinations of explanatory variables, including nine climate variables, human-biting ticks, vertebrate chorotypes, and livestock density. It includes thresholds for converting habitat suitability maps into binary presence/absence predictions.

Use Cases

• Comparing the predictive power of climate variables versus host/vector variables for CCHFV distribution based on the described model combinations.
• Selecting optimal thresholds for binary presence/absence mapping based on the provided threshold values.
• Analyzing the joint influence of human-biting ticks, vertebrate chorotypes, and livestock density ('HBT+Livestock') on modelled disease risk.
• Evaluating the contribution of 'complete chorotypes' (tick and vertebrate distributions) to model discrimination.

Strengths

• Model outcomes are directly comparable, as all combinations included the same nine climate variables.
• The dataset provides a specific optimal threshold value for converting model outputs to binary maps.
• The dataset is openly licensed under CC-BY-4.0 for reuse.

Limitations

• The dataset is very small (9.5 KB), suggesting it contains summary statistics rather than raw model outputs or extensive records.
• Column-level documentation is absent; field semantics must be inferred from the description after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.

Provenance

Source

Agustín Estrada-Peña via figshare.

Collection Method

Likely contains summarized outputs from spatial distribution modelling algorithms.

Freshness

Last updated 2026-05-27 17:43:44; freshness should be verified.