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February 16, 2026Transboundary and Emerging Diseases0 citationsOpen Access

Prevalence and Heterogeneity of Swine Influenza Virus in China From 2010 to 2025: A Systematic Review and Meta‐Analysis

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XYXiutao YangQGQingxia GaoZXZhaofang Xi

Key Points

  • The study estimates the prevalence of swine influenza virus (SIV) in China from 2010 to 2025 and identifies sources of heterogeneity.
  • Conducted a systematic review and meta-analysis following PRISMA guidelines
  • Searched six databases, yielding 73 studies with 411,930 samples
  • Applied a random-effects model for pooled prevalence estimates and subgroup analyses
  • Pooled SIV prevalence was 30.3% with extreme heterogeneity
  • Key heterogeneity drivers included diagnostic methods and geography
  • Identification of substantial methodological variability in prevalence assessments

Abstract

Background Swine influenza virus (SIV) is endemic in China, threatening the swine industry and public health. This meta‐analysis estimated the national pooled prevalence of SIV (2010–2025) and identified key sources of heterogeneity. Methods Following Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines, six databases were searched, yielding 73 eligible studies with 411,930 samples. A random‐effects model pooled prevalence estimates, and subgroup analyses explored heterogeneity. Results The pooled SIV prevalence was 30.3% (95% confidence interval CI: 24.5%–36.4%) with extreme heterogeneity ( I 2 = 100%, p H3). Sensitivity analysis confirmed robustness, but publication bias (Egger’s test, p = 0.0009) suggests potential overestimation. Conclusion SIV is widespread in China but exhibits marked spatiotemporal and methodological variability. A single national prevalence figure is insufficient for risk assessment. Surveillance and control strategies must be targeted and context‐specific. This study provides a critical, albeit potentially overestimated, epidemiological baseline for evidence‐based interventions.

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Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/6992652ceb1f82dc367a111dhttps://doi.org/10.1155/tbed/1096796
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