Evidence map›Paper›PMID 42871725›Full record

ArticleFrontiers in veterinary science2026

Epidemiological insights into bovine viral diarrhea virus and bovine rotavirus in diarrheic Yaks on the Qinghai-Tibet Plateau.

Jizong Zhang, Yixin Wang, Quan Mo, Lan Lan, Yao Pan, Wei Tian, Yue Su, Yanan Zhang, Jiancheng Qi, Zhicai Zuo

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

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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

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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

10 authors.

Jizong ZhangKey Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China.
Yixin WangKey Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China.
Quan MoKey Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China.
Lan LanAnimal Husbandry Science Institute of Ganzi Tibetan Autonomous Prefecture, Kangding, Sichuan, China.
Yao PanAnimal Husbandry Science Institute of Ganzi Tibetan Autonomous Prefecture, Kangding, Sichuan, China.
Wei TianAnimal Husbandry Science Institute of Ganzi Tibetan Autonomous Prefecture, Kangding, Sichuan, China.
Yue SuAnimal Husbandry and Veterinary Station, Wa'eryi Township, Qinghai, China.
Yanan ZhangAgricultural and Animal Husbandry Technology Extension Service Center, Xizang, China.
Jiancheng QiKey Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China.
Zhicai ZuoKey Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diarrhea is common in yak calves and causes substantial economic losses to the yak industry on the Qinghai-Tibet Plateau. Bovine viral diarrhea virus (BVDV) and bovine rotavirus (BRV) are important enteric pathogens in cattle, but their epidemiology and potential association in yaks remain unclear. In this study, 1,623 fecal samples were collected from yaks across different locations, age groups, seasons, and breeds to investigate BVDV, BRV, and BVDV/BRV dual positivity. Viral positivity was detected using PCR amplification, and associated factors were analyzed using chi-square tests and multivariable binary logistic regression. Overall, 277 samples were positive for BVDV, 224 for BRV, and 92 for both viruses, corresponding to positivity rates of 17.07%, 13.80%, and 5.67%, respectively. BVDV positivity differed significantly among seasons (

Indexed as

bovine rotavirusbovine viral diarrhea virusdiarrheaepidemiological investigationYak

Identifiers

PMID42871725
PMCPMC13660014

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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.