Evidence map›Paper›PMID 42084162›Full record

ArticleThe Onderstepoort journal of veterinary research2026

Seroprevalence and distribution of bovine and porcine cysticercosis in rural areas of Mpumalanga province, South Africa.

Usman A Ahmed, Malitaba A Mlangeni, Ana M Tsotetsi-Khambule

Abstract read
In one paragraph

Article in The Onderstepoort journal of veterinary research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Usman A AhmedDepartment of Life and Consumer Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Johannesburg. 63746212@mylife.unisa.ac.za.
Malitaba A Mlangeni
Ana M Tsotetsi-Khambule

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cysticercosis is a neglected zoonotic disease caused by the larval stages of Taenia asiatica, T. saginata and T. solium. Its prevalence varies across regions, with limited data available in South Africa, particularly in Mpumalanga province. This study aimed to determine the seroprevalence and distribution of bovine and porcine cysticercosis in rural communities of Mpumalanga province, South Africa. A cross-sectional survey was conducted from 2021 to 2022 in Ehlanzeni and Nkangala districts. Blood samples were collected from 384 cattle and 336 pigs and analysed using the Apdia® cysticercosis AgELISA kit. Logistic regression was used to estimate odds of infection, with statistical significance set at p  0.05. Overall seroprevalence of bovine cysticercosis was 35.2% (95% confidence interval [CI]: 30.5-40.2), while porcine cysticercosis was 4.8% (95% CI: 2.8-7.6). Seroprevalence varied across districts and municipalities in Mpumalanga province, with evidence of spatial heterogeneity in both cattle and pigs. The higher prevalence in cattle is likely because of free-range grazing practices, increasing exposure to Taenia-contaminated environments. Pigs, mostly penned, had lower infection rates.Contribution: This study provides the first baseline data on bovine and porcine cysticercosis in Mpumalanga province, highlighting the need for improved livestock management, sanitation, farmer education and targeted surveillance to reduce transmission.

Indexed as

Cattle DiseasesCysticercosisSwine DiseasesAnimalsCattleCross-Sectional StudiesFemalePrevalenceRural PopulationSeroepidemiologic StudiesSouth AfricaSwinecattlecysticercosisELISApigsseroprevalenceTaenia spp.zoonosis

Identifiers

PMID42084162
PMCPMC13149494

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.