What question did this study set out to answer?

To determine the spatial suitability and environmental risk factors of clinically recognized bovine babesiosis using compulsory veterinary treatment records.

September 17, 2026Parasites & VectorsOpen Access

Climate, host and landscape determinants of bovine babesiosis in Great Britain: analysis of Imidocarb treatment notifications, 2016–2024

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Authors

SSSarah Shanks JDJennifer Duncan NJNicholas Johnson

Discussion

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Overview

Spatial modeling study reveals climatic and host drivers of bovine babesiosis in cattle, indicating potential high-risk zones for targeted surveillance.

Key Points

To determine the spatial suitability and environmental risk factors of clinically recognized bovine babesiosis using compulsory veterinary treatment records.
Extracted mandatory Imidocarb dipropionate (Imizol) notification records from 2016 to 2024 at a 2 km grid resolution to serve as a proxy for disease occurrence.
Trained machine learning models on southwest England records (2016–2022) using seasonal climate, vegetation greenness, livestock density, and deer habitat suitability as predictors.
Evaluated model accuracy via internal cross-validation, temporal validation on southwest England data (2023–2024), and external validation across the rest of Great Britain.
The models achieved high internal cross-validation (mean AUC = 0.81; mean correlation = 0.55), high temporal predictive performance (Boyce Index = 0.81), and moderate external transferability (Boyce Index = 0.58).
Climatic variables contributed the highest relative influence, led by autumn cooling (mean relative influence = 37.3%) and atmospheric moisture (8.5%).
Roe deer habitat suitability and sheep density had moderate predictive influence, whereas vegetation greenness and individual land-cover proportions demonstrated minimal relative effect.

Cite This Study

Shanks et al. (2026) studied this question.

synapsesocial.com/papers/6aabb8135f706d05830e796e https://doi.org/10.1186/s13071-026-07665-x

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September 17, 2026Parasites & VectorsOpen Access

Climate, host and landscape determinants of bovine babesiosis in Great Britain: analysis of Imidocarb treatment notifications, 2016–2024

View Full Paper

Ask AI

Bookmark

Authors

SSSarah Shanks JDJennifer Duncan NJNicholas Johnson

Discussion

Member takes

Overview

Spatial modeling study reveals climatic and host drivers of bovine babesiosis in cattle, indicating potential high-risk zones for targeted surveillance.

Key Points

To determine the spatial suitability and environmental risk factors of clinically recognized bovine babesiosis using compulsory veterinary treatment records.
Extracted mandatory Imidocarb dipropionate (Imizol) notification records from 2016 to 2024 at a 2 km grid resolution to serve as a proxy for disease occurrence.
Trained machine learning models on southwest England records (2016–2022) using seasonal climate, vegetation greenness, livestock density, and deer habitat suitability as predictors.
Evaluated model accuracy via internal cross-validation, temporal validation on southwest England data (2023–2024), and external validation across the rest of Great Britain.
The models achieved high internal cross-validation (mean AUC = 0.81; mean correlation = 0.55), high temporal predictive performance (Boyce Index = 0.81), and moderate external transferability (Boyce Index = 0.58).
Climatic variables contributed the highest relative influence, led by autumn cooling (mean relative influence = 37.3%) and atmospheric moisture (8.5%).
Roe deer habitat suitability and sheep density had moderate predictive influence, whereas vegetation greenness and individual land-cover proportions demonstrated minimal relative effect.

Cite This Study

Shanks et al. (2026) studied this question.

synapsesocial.com/papers/6aabb8135f706d05830e796e https://doi.org/10.1186/s13071-026-07665-x

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