Evidence Hub

Global prevalence of Porcine Astrovirus: A systematic review and meta-analysis

Ge X, Li Y, Zhao F, Ma X, Li J, Jiang Y, Cui W, Wang X et al.

Preventive veterinary medicine, 2025

8 citations

Abstract

Porcine astrovirus (PAstV) is a widespread enteric virus in pigs, often co-infecting with other enteric viruses and contributing to diarrhea, leading to significant economic losses in the global swine industry. This study aims to identify the factors influencing PAstV prevalence by conducting a statistical meta-analysis of global data and evaluating heterogeneity across various subgroups. A systematic literature search was performed across PubMed, Web of Science, CNKI, Wanfang, and VIP databases, covering studies from the inception of the databases up to December 2023. A random-effects model was employed to estimate the global pooled prevalence of PAstV infection, and subgroup analyses were performed to evaluate the impact of different continents, years, detection methods, and sample types on the prevalence. Publication bias was assessed using a funnel plot and Egger's test. A total of 45 studies from 10 countries across three continents, involving 376 articles, were included in the meta-analysis. The global pooled prevalence of PAstV infection was found to be 28.19 % (95 % CI, 21.94 %-34.89 %). Subgroup analysis indicated significant differences in PAstV prevalence across continents, with Asia at 26.25 % (95 % CI, 25.41 %-27.09 %), Europe at 36.19 % (95 % CI, 34.09 %-38.33 %), and North America at 63.24 %. The prevalence of PAstV was highest between 2012 and 2014 (49.86 %, 95 % CI, 47.21 %-52.51 %), followed by a decreasing trend that stabilized below 30 % from 2015 to…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in animal, not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free