ArticleParasites & vectors2025
Linking tick and wildlife host distributions to map risk of tick-borne diseases.
Article in Parasites & vectors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Interdisciplinary modelling approaches for One Health in agri-food systems: a scoping review and conceptual analysis.BMC public health · 2026Article
- A Global, High-Resolution Index of Risk and Exposure of Humans to Ticks, Lyme Borreliosis, and Crimean-Congo Haemorrhagic Fever.Pathogens (Basel, Switzerland) · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundTick-borne pathogens threaten livestock worldwide, causing diseases such as anaplasmosis, babesiosis, heartwater and theileriosis in cattle. The epidemiology of each disease is complex, with multiple tick and/or host species interacting across variable environments, and disease risk has not been fully assessed. Here, we used a One Health approach that integrates ecological, livestock and wildlife factors to identify areas with potential risk of tick-borne pathogen circulation.
methodsUsing ecological data on tick and host distributions alongside environmental and anthropogenic variables, we modeled the potential ranges of the four tick-borne diseases in North America and the Caribbean based on tick distributions. By integrating these disease-specific models, we generated comprehensive risk maps highlighting cattle exposure hotspots. We further evaluated how ungulate host communities shape the spatial patterns of tick-borne disease risk.
resultsLivestock operations in the central and eastern USA and in southern Mexico are the most vulnerable to tick-borne pathogens. Models demonstrated higher performance when incorporating ungulate host distribution, enabling us to identify the key ungulate species influencing tick distributions and the risk of tick-borne diseases.
conclusionsAreas with greater ungulate diversity had greater tick diversity, further demonstrating the role of host community structure in shaping the dynamics of tick-borne pathogens. Identifying regions of North America with high exposure to tick-borne pathogens by assessing complex interactions between pathogens, hosts and vectors can aid in developing control strategies to safeguard cattle health.
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