Evidence map›Paper›PMID 41925929›Full record

ArticleExperimental & applied acarology2026

Species diversity, distribution and habitat suitability modeling of ixodid ticks infesting cattle in selected districts of the North Wollo Zone, northeast Ethiopia.

Assaye Wollelie Fentie, Moges Maru, Teketay Bayleyegn Derso, Gebyaw Menge Getnet, Animaw Andargie Worku, Assaye Desta Amare, Ashenafi Wondye Dagne, Zerihun Getie Wassie, Abebech Atinafu Yehulashet, Ayenalem Shibabaw Atenaf and 2 more

Abstract read
In one paragraph

Article in Experimental & applied acarology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Assaye Wollelie FentieDepartment of Veterinary medicine, College of Agricultural Sciences, Woldia University, Woldia, Ethiopia. assaye.w@wldu.edu.et.
Moges MaruDepartment of Veterinary Pathobiology, College of Veterinary Medicine and Animal Sciences, University of Gondar, Gondar, Ethiopia.
Teketay Bayleyegn DersoDepartment of Veterinary medicine, College of Agricultural Sciences, Woldia University, Woldia, Ethiopia.
Gebyaw Menge GetnetDepartment of Veterinary Science, College of Agriculture and Natural Resources, Debre Markos University, Debre Markos, Ethiopia.
Animaw Andargie WorkuDepartment of Veterinary medicine, College of Agricultural Sciences, Woldia University, Woldia, Ethiopia.
Assaye Desta AmareDepartment of Veterinary medicine, College of Agricultural Sciences, Woldia University, Woldia, Ethiopia.
Ashenafi Wondye DagneDepartment of Veterinary medicine, College of Agricultural Sciences, Woldia University, Woldia, Ethiopia.
Zerihun Getie WassieDepartment of Biomedical science, College of Veterinary Medicine and Animal Sciences, University of Gondar, Gondar, Ethiopia.
Abebech Atinafu YehulashetDepartment of Veterinary Pathobiology, College of Veterinary Medicine and Animal Sciences, University of Gondar, Gondar, Ethiopia.
Ayenalem Shibabaw AtenafDepartment of Veterinary Pathobiology, College of Veterinary Medicine and Animal Sciences, University of Gondar, Gondar, Ethiopia.
Yihenew Getahun AmbawDepartment of Veterinary medicine, College of Agricultural Sciences, Woldia University, Woldia, Ethiopia.
Zewdu Seyoum TarekegnDepartment of Veterinary Pathobiology, College of Veterinary Medicine and Animal Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ixodid ticks, as vectors for numerous pathogens, pose a significant threat to Ethiopia's livestock industry. However, data on their species diversity and distribution in the North Wollo zone are scarce. This cross-sectional study aimed to identify ticks infesting cattle, associated risk factors, and their habitat suitability in the region. From March to December 2024, a multistage cluster sampling technique was used to examine 340 tick infested cattle across four districts. Collected ticks were morphologically identified. Data analysis involved descriptive statistics and logistic regression, to identify risk factors, while the maximum entropy was employed to predict habitat suitability for the five dominant species. A total of 2,258 ticks, comprising three genera and twelve species were collected. The five most abundant species namely; Amblyomma variegatum (26.9%), Amblyomma cohaerens (14.2%), Rhipicephalus decoloratus (18.5%), Rhipicephalus pulchellus (17.1%), and Rhipicephalus evertsi evertsi (13.1%) together accounted for more than 90% of the total collection. The primary attachment site was the ano-vulval region (35.2%), followed by the udder/scrotum (22.4%). Logistic regression revealed that altitude, body condition, herd size, and animal movement were significant risk factors for tick infestation. Furthermore, habitat suitability modeling identified elevation, vegetation type, and land cover as key environmental predictors for tick distribution. This study provided the first comprehensive data on tick diversity and distribution in North Wollo zone. By identifying both host-related risk factors and geographically suitable habitats, these findings are crucial for developing targeted and effective tick control strategies, ultimately safeguarding livestock health and productivity in the region.

Indexed as

Animal DistributionBiodiversityCattle DiseasesEcosystemIxodidaeTick InfestationsAnimalsCattleCross-Sectional StudiesEthiopiaFemaleCattleEthiopiaHabitat suitabilityIxodid ticksMaxEntNorth WolloTick distribution

Identifiers

PMID41925929
PMCPMC13046685

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.