Seroepidemiology and Risk Factors Associated with <i>Theileria equi</i> and <i>Babesia caballi</i> Infections in Horses from Borno and Yobe States, Nigeria

Background: Theileria equi and Babesia caballi are tick-borne hemoparasites that infect horses, causing significant economic losses. This study aimed to determine the seroprevalence and risk factors associated with T. equi and B. caballi infections in horses from Borno and Yobe states, Nigeria. Methods: A cross-sectional study was done on 384 horses from Borno and Yobe states. Blood samples were collected and analyzed using ELISA to detect antibodies against T. equi and B. caballi. Relative risk (RR) and odds ratio (OR) were computed to determine the association between risk factors and seropositivity. Results: The overall seroprevalence of T. equi and B. caballi was 60.4% and 71.9%, respectively. The data were analyzed using relative risk and odds ratio, which revealed that horses from Borno state (RR = 0.7692, 95% CI: 0.6410 to 0.9231) were less likely to be T. equi seropositive. Similarly, horses from Yobe state (RR = 1.0714, 95% CI: 0.8519 to 1.3476) were at a higher risk of being B. caballi seropositive. Conclusion: This study revealed a high seroprevalence of T. equi and B. caballi in horses from Borno and Yobe states, Nigeria. Horses from Borno state and those with tick infestation were at a higher risk of B. caballi seropositivity, while horses from Yobe state and those with tick infestation were at a higher risk of T. equi seropositivity. These findings highlight the need for effective tick control measures and regular monitoring of horses for T. equi and B. caballi infections.

Authors

Institutions

Publication Details

Journal
International Journal of Equine Science
Published
2025-02-28
DOI
https://doi.org/10.64292/ijes.159
Primary Topic
Vector-borne infectious diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seroepidemiology and Risk Factors Associated with Theileria equi and Babesia caballi Infections in Horses from Borno and Yobe States, Nigeria

Lawan Adamu, Falmata Kyari, Babagana Kachalla Kayeri, Mohammed Kyari Zango et al.
International Journal of Equine Science
Vector-borne infectious diseases
article

Seroepidemiology and Risk Factors Associated with Theileria equi and Babesia caballi Infections in Horses from Borno and Yobe States, Nigeria

Lawan Adamu, Falmata Kyari, Babagana Kachalla Kayeri, Mohammed Kyari Zango, Benjamen Joseph Haziel, Ibrahim Nuhu Ibrahim
article en

Abstract

Background: Theileria equi and Babesia caballi are tick-borne hemoparasites that infect horses, causing significant economic losses. This study aimed to determine the seroprevalence and risk factors associated with T. equi and B. caballi infections in horses from Borno and Yobe states, Nigeria. Methods: A cross-sectional study was done on 384 horses from Borno and Yobe states. Blood samples were collected and analyzed using ELISA to detect antibodies against T. equi and B. caballi. Relative risk (RR) and odds ratio (OR) were computed to determine the association between risk factors and seropositivity. Results: The overall seroprevalence of T. equi and B. caballi was 60.4% and 71.9%, respectively. The data were analyzed using relative risk and odds ratio, which revealed that horses from Borno state (RR = 0.7692, 95% CI: 0.6410 to 0.9231) were less likely to be T. equi seropositive. Similarly, horses from Yobe state (RR = 1.0714, 95% CI: 0.8519 to 1.3476) were at a higher risk of being B. caballi seropositive. Conclusion: This study revealed a high seroprevalence of T. equi and B. caballi in horses from Borno and Yobe states, Nigeria. Horses from Borno state and those with tick infestation were at a higher risk of B. caballi seropositivity, while horses from Yobe state and those with tick infestation were at a higher risk of T. equi seropositivity. These findings highlight the need for effective tick control measures and regular monitoring of horses for T. equi and B. caballi infections.

International Journal of Equine ScienceVol. 4(1)
University of Maiduguri (NG)
Openalex Percentile: Top 79%
Vector-borne infectious diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.