ArticleJournal of veterinary science2020
Epidemiological investigation of porcine pseudorabies virus and its coinfection rate in Shandong Province in China from 2015 to 2018.
Article in Journal of veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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.
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.
Who cites it
23 citing papers in PubMed, 30 citations in OpenAlex.
- Transition of pseudorabies virus from latency to reactivation state selectively triggered by pathogenic bacteria.Science advances · 2025Article
- PRV gD-Based DNA Vaccine Candidates Adjuvanted with cGAS, UniSTING, or IFN-α Enhance Protective Immunity.Pathogens (Basel, Switzerland) · 2025Article
- Article
- Molecular epidemiology and genetic characteristics of pseudorabies virus between 2021 and 2023 in Henan Province of China.Journal of veterinary science · 2025Article
- Advances in molecular epidemiology and detection methods of pseudorabies virus.Discover nano · 2025Review
- Alphaherpesvirus in Pets and Livestock.Microorganisms · 2025Review
- Pseudorabies Virus UL41 Hijacks IFN Response via JAK/STAT Pathway While Cellular TRIM21 Blocks it Through K48 Ubiquitination.Transboundary and emerging diseases · 2025Article
- Prevalence and Genetic Variation Investigation of the Pseudorabies Virus in Southwest China.Animals : an open access journal from MDPI · 2024Article
- Infectivity and Potential Zoonotic Characteristics of Porcine Pseudorabies Virus in Human Cells.Transboundary and emerging diseases · 2024Article
- Immunosuppression of the Nasal Cavity by a Novel Pathogenic Pseudorabies Virus Isolation from Cattle in China.Transboundary and emerging diseases · 2024Article
- Epidemiological Investigation, Risk Factors, Spatial-Temporal Cluster, and Epidemic Trend Analysis of Pseudorabies Virus Seroprevalence in China (2017 to 2021).Microbiology spectrum · 2023Article
- Secondary Highly Pathogenic Porcine Reproductive and Respiratory Syndrome Virus (HP-PRRSV2) Infection Augments Inflammatory Responses, Clinical Outcomes, and Pathogen Load inVeterinary sciences · 2023Article
- Article
- Establishment and application of multiplex real-time PCR for simultaneous detection of four viruses associated with porcine reproductive failure.Frontiers in microbiology · 2023Article
- Review
- The Epidemiology and Variation in Pseudorabies Virus: A Continuing Challenge to Pigs and Humans.Viruses · 2022Review
- Coinfection of Porcine Circovirus 2 and Pseudorabies Virus Enhances Immunosuppression and Inflammation through NF-κB, JAK/STAT, MAPK, and NLRP3 Pathways.International journal of molecular sciences · 2022Article
- Construction of a quadruple gene-deleted vaccine confers complete protective immunity against emerging PRV variant challenge in piglets.Virology journal · 2022Article
- The Epidemiological Analysis of Pseudorabies Virus and Pathogenicity of the Variant Strain in Shandong Province.Frontiers in veterinary science · 2022Article
- Current Status and Challenge of Pseudorabies Virus Infection in China.Virologica Sinica · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundPseudorabies, also known as Aujeszky's disease, is caused by the pseudorabies virus (PRV) and has been recognized as a critical disease affecting the pig industry and a wide range of animals around the world, resulting in great economic losses each year. Shandong province, one of the most vital food animal-breeding regions in China, has a very dense pig population, within which pseudorabies infections were detected in recent years. The data, however, on PRV epidemiology and coinfection rates of PRV with other major swine diseases is sparse.
objectivesThis study aimed to investigate the PRV epidemiology in Shandong and analyze the current control measures.
methodsIn this study, a total number of 16,457 serum samples and 1,638 tissue samples, which were collected from 362 intensive pig farms (≥ 300 sows/farm) covered all cities in Shandong, were tested by performing enzyme-linked immunosorbent assay (ELISA) and polymerase chain reaction (PCR).
resultsOverall, 52.7% and 91.5% of the serum samples were positive for PRV-gE and -gB, respectively, based on ELISA results. In addition, 15.7% of the tissue samples were PCR positive for PRV. The coinfection rates of PRV with porcine circovirus type 2 (PCV2), porcine reproductive and respiratory syndrome virus, and classical swine fever virus were measured; coinfection with PCV2 was 35.0%, higher than those of the other two viruses. Macroscopic and microscopic lesions were observed in various tissues during histopathological examination.
conclusionsThe results demonstrate the PRV prevalence and its coinfection rates in Shandong province and indicate that pseudorabies is endemic in pig farms in this region. This study provides epidemiological data that can be useful in the prevention and control of pseudorabies in Shandong, China.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.