Evidence map›Paper›PMID 37227271›Full record

ArticleMicrobiology spectrum2023

Epidemiological Investigation, Risk Factors, Spatial-Temporal Cluster, and Epidemic Trend Analysis of Pseudorabies Virus Seroprevalence in China (2017 to 2021).

Pengfei Zhao, Yu Wang, Pengfei Zhang, Fen Du, Jianhai Li, Chaofei Wang, Rui Fang, Junlong Zhao

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 15 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

8 authors at 1 institution in 1 country.

Pengfei ZhaoState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University. Wuhan, Hubei, People's Republic of China.
Yu WangState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University. Wuhan, Hubei, People's Republic of China.
Pengfei ZhangState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University. Wuhan, Hubei, People's Republic of China.
Fen DuHubei Center for Animal Disease Control and Prevention, Wuhan, Hubei, People's Republic of China.
Jianhai LiState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University. Wuhan, Hubei, People's Republic of China.
Chaofei WangWuhan Keweichuang Biotechnology Co., Ltd., Wuhan, Hubei, People's Republic of China.
Rui FangState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University. Wuhan, Hubei, People's Republic of China.ORCID 0000-0003-0020-8488
Junlong ZhaoState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University. Wuhan, Hubei, People's Republic of China.ORCID 0000-0001-5162-4495
Huazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudorabies virus (PRV) is a double-stranded linear DNA virus capable of infecting various animals, including humans. We collected blood samples from 14 provinces in China between December 2017 and May 2021 to estimate PRV seroprevalence. The PRV gE antibody was detected using the enzyme-linked immunosorbent assay (ELISA). Logistic regression analysis identified potential risk factors associated with PRV gE serological status at the farm level. Spatial-temporal clusters of high PRV gE seroprevalence were explored using SaTScan 9.6 software. Time-series data of PRV gE seroprevalence were modeled using the autoregressive moving average (ARMA) method. A Monte Carlo sampling simulation based on the established model was performed to analyze epidemic trends of PRV gE seroprevalence using @RISK software (version 7.0). A total of 40,024 samples were collected from 545 pig farms across China. The PRV gE antibody positivity rates were 25.04% (95% confidence interval [CI], 24.61% to 25.46%) at the animal level and 55.96% (95% CI, 51.68% to 60.18%) at the pig farm level. Variables such as farm geographical division, farm topography, African swine fever (ASF) outbreak, and porcine reproductive and respiratory syndrome virus (PRRSV) control in pig farms were identified as risk factors for farm-level PRV infection. Five significant high-PRV gE seroprevalence clusters were detected in China for the first time, with a time range of 1 December 2017 to 31 July 2019. The monthly average change value of PRV gE seroprevalence was -0.826%. The probability of a monthly PRV gE seroprevalence decrease was 0.868, while an increase was 0.132.

Indexed as

African Swine FeverHerpesvirus 1, SuidPseudorabiesSwine DiseasesAnimalsAntibodies, ViralChinaHumansRisk FactorsSeroepidemiologic StudiesSwineAntibodies, ViralChinaepidemic trend analysisepidemiological investigationpseudorabies virusrisk factorsseroprevalencespatial-temporal clustering

Identifiers

PMID37227271
PMCPMC10269690
OpenAlexW4378171906

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.