Evidence map›Paper›PMID 36313849›Full record

ArticleVeterinary world2022

Prevalence and tick loads in Nguni cattle reared in different environmental conditions across four provinces of South Africa.

Ntanganedzeni O Mapholi, C Banga, K Dzama, O Matika, V Riggio, N Nyangiwe, A Maiwashe

Abstract read
In one paragraph

Article in Veterinary world, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  13. Epidemiology of ZoonoticMicroorganisms · 2023
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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

7 authors.

Ntanganedzeni O MapholiDepartment of Agriculture and Animal Health, University of South Africa, Florida, South Africa.
C BangaDepartment of Agriculture and Animal Health, University of South Africa, Florida, South Africa.
K DzamaDepartment of Animal Sciences, University of Stellenbosch, Matieland, South Africa.
O MatikaThe Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, United Kingdom.
V RiggioThe Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, United Kingdom.
N NyangiweDepartment of Agriculture and Animal Health, University of South Africa, Florida, South Africa.
A MaiwasheAgricultural Research Council, Irene, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: In tropical and subtropical countries, ixodid ticks are among livestock's most economically important ectoparasites. Although Nguni cattle from South Africa have adapted to harsh environments, it is unknown whether they will be resistant to ticks, and the diseases carried by ticks under various climatic conditions. Therefore, this study aimed to compare tick load and estimate the prevalence of different tick species among Nguni cattle under different environmental conditions. Materials and Methods: Tick counts were conducted monthly under natural challenges over 2 years on 586 Nguni cattle located at ARC-Roodeplaat and Loskop farms (warmer climate), Mukhuthali Nguni Community and the University of Fort Hare farms (cooler climate). The generalized linear model procedure of the Statistical Analysis System was used to analyze the data. It fitted the location (farm), sex, year, month or season, and animal age as covariates. Results: The tick species (relative prevalence) observed were as follows: Conclusion: These results provide useful information for developing appropriate control strategies for ticks and tick-borne diseases in these provinces of South Africa. Further work must investigate the feasibility of genetic improvement for tick resistance.

Indexed as

Amblyomma hebraeumNguni cattleSouth Africatick counttick prevalenceswarmer climate

Identifiers

PMID36313849
PMCPMC9615489

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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.