Frontiers in Veterinary Science (Dec 2023)

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

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

DOI
https://doi.org/10.3389/fvets.2023.1298434
Journal volume & issue
Vol. 10

Abstract

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IntroductionPseudorabies 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.MethodsThe 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.ResultsA 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.ConclusionOur 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.

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