Evidence map›Paper›PMID 38111735›Full record

ArticleFrontiers in veterinary science2023

Epidemiological investigation, determination of related factors, and spatial-temporal cluster analysis of wild type pseudorabies virus seroprevalence in China during 2022.

Wenchao Gao, Xiaoxue Jiang, Zhiqiang Hu, Qing Wang, Yuntong Shi, Xiaogang Tian, Mengli Qiao, Jinyong Zhang, Yang Li, Xiaowen Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Wenchao Gao *Shandong New Hope Liuhe Co., Ltd., Qingdao, Shandong, China.
Xiaoxue Jiang *Shandong New Hope Liuhe Co., Ltd., Qingdao, Shandong, China.
Zhiqiang HuShandong New Hope Liuhe Co., Ltd., Qingdao, Shandong, China.
Qing WangShandong New Hope Liuhe Co., Ltd., Qingdao, Shandong, China.
Yuntong ShiShandong New Hope Liuhe Co., Ltd., Qingdao, Shandong, China.
Xiaogang TianShandong New Hope Liuhe Co., Ltd., Qingdao, Shandong, China.
Mengli QiaoNew Hope Liuhe Co., Ltd., Chengdu, Sichuan, China.
Jinyong ZhangNew Hope Liuhe Co., Ltd., Chengdu, Sichuan, China.
Yang LiShandong New Hope Liuhe Co., Ltd., Qingdao, Shandong, China.
Xiaowen LiShandong New Hope Liuhe Co., Ltd., Qingdao, Shandong, China.
Ministry of Agriculture and Rural Affairs · CNNew Hope Liuhe (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pseudorabies virus (PRV) is a linear DNA virus with a double-stranded structure, capable of infecting a diverse array of animal species, including humans. This study sought to ascertain the seroprevalence of Pseudorabies Virus (PRV) in China by conducting a comprehensive collection of blood samples from 16 provinces over the course of 2022. Methods: The presence of PRV gE antibodies was detected through the utilization of an enzyme-linked immunosorbent assay (ELISA) technique. Logistic regression analysis was conducted to identify potential related factors associated with the serologic status of PRV gE at the animal level. Additionally, the SaTScan 10.1 software was used to analyze the spatial and temporal clusters of PRV gE seroprevalence. Results: A comprehensive collection of 161,880 samples was conducted, encompassing 556 swine farms throughout the country. The analysis revealed that the seroprevalence of PRV gE antibodies was 12.36% (95% confidence interval [CI], 12.20% to 12.52%) at the individual animal level. However, at the swine farm level, the seroprevalence was considerably higher, reaching 46.22% (95% CI, 42.08% to 50.37%). Related factors for PRV infection at the farm level included the geographic distribution of farms and seasonal variables. Moreover, five distinct high seroprevalence clusters of PRV gE were identified across China, with the peak prevalence observed during the months of April through June 2022. Conclusion: Our findings serve as a valuable addition to existing research on the seroprevalence, related factors, and temporal clustering of PRV gE in China. Furthermore, our study provides a reference point for the development of effective strategies for the prevention and control of pseudorabies and wild virus outbreaks.

Indexed as

Chinaepidemiological investigationpseudorabies virusrelated factorsseroprevalencespatial-temporal clustering

Identifiers

PMID38111735
PMCPMC10726123
OpenAlexW4389308995

What OpenQuestion holds

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LicenceCC BY
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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.