Evidence map›Paper›PMID 42192406›Full record

ArticleBMC veterinary research2026

Epidemiology and predilection-site distribution of tick infestation in communal cattle systems of Limpopo Province, South Africa.

Makhado P Sedina, Emmanuel O Njoga, Ishmael F Jaja, James W Oguttu

Abstract read
In one paragraph

Article in BMC veterinary research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

4 authors.

Makhado P SedinaCollege of Agriculture and Environmental Sciences, Department of Agriculture and Animal Health Florida Science Campus, University of South Africa (UNISA), Roodepoort 1709, Johannesburg, South Africa.
Emmanuel O NjogaCollege of Agriculture and Environmental Sciences, Department of Agriculture and Animal Health Florida Science Campus, University of South Africa (UNISA), Roodepoort 1709, Johannesburg, South Africa. njogaeo@unisa.ac.za.
Ishmael F JajaDepartment of Livestock and Pasture Science, University of Fort Hare, Alice, 5700, South Africa.
James W OguttuCollege of Agriculture and Environmental Sciences, Department of Agriculture and Animal Health Florida Science Campus, University of South Africa (UNISA), Roodepoort 1709, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTicks and tick-borne diseases are major constraints to cattle productivity in sub-Saharan Africa. This study assessed the epidemiology and host-level determinants of tick infestation in communal cattle systems in South Africa.

methodsThis cross-sectional study examined 787 cattle across 17 villages. Animal-level data included sex, breed (Nguni, Drakensberg, Bonsmara, Brahman, Hereford, Simmentaler, and crossbreeds), age, and body condition score. Tick burden was quantified on six anatomical sites, and whole-body burden was estimated from one-sided counts.

resultsTick burden was heterogeneously distributed across anatomical predilection sites, with the ears (mean = 50.7 ticks), lower perineum (mean = 44.4 ticks), and upper perineum (mean = 34.2 ticks) exhibiting the highest infestation intensities. Older cattle (> 8 years; IRR = 1.58, 95% CI: 1.39-1.79) and adult cattle (> 2-8 years; IRR = 1.43, 95% CI: 1.26-1.63) harboured significantly more ticks than young cattle (≤ 2 years). Indigenous and crossbred cattle exhibited lower tick burdens than exotic breeds, although breed was not a significant predictor of tick burden after adjustment. Multilevel negative binomial modelling confirmed age and body condition score as independent predictors of total tick burden, while accounting for farm-level clustering. Sex was not a significant predictor, and farm-level clustering accounted for 47% of variance in tick burden. Indigenous and crossbred cattle exhibited lower tick loads than exotic breeds.

conclusionTick infestation is prevalent in communal cattle systems in South Africa, particularly in the ears and perianal regions of exotic cattle breeds. These findings provide evidence-based epidemiological data on aggregate tick burden and host-level predictors to inform communal livestock health planning and guide future species-resolved investigations.

Indexed as

Cattle DiseasesTick InfestationsAnimalsCattleCross-Sectional StudiesFemaleMaleSouth AfricaTicksCommunal cattle rearing systemEctoparasiteSouth AfricaTick burdenTick predilection sites

Identifiers

PMID42192406
PMCPMC13397728

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.