Evidence map›Paper›PMID 41514737›Full record

ArticleAnimals : an open access journal from MDPI2025

Association Study on Risk Factors for Major Infectious Diseases in Dogs and Cats in Shenzhen, China.

Yao Peng, Runchang Lin, Wanxing Xie, Rongjie Huang, Shunping Cai, Yinyi Liang, Qida Lin, Gen Li, Xiaofeng Guo, Bowen Lin and 1 more

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Yao PengCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Runchang LinShenzhen Inspection and Testing Center of Agricultural Product Quality and Safety, Shenzhen 518000, China.
Wanxing XieCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Rongjie HuangCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Shunping CaiShenzhen Inspection and Testing Center of Agricultural Product Quality and Safety, Shenzhen 518000, China.
Yinyi LiangCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Qida LinShenzhen Inspection and Testing Center of Agricultural Product Quality and Safety, Shenzhen 518000, China.
Gen LiCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Xiaofeng GuoCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0003-2896-3629
Bowen LinShenzhen Inspection and Testing Center of Agricultural Product Quality and Safety, Shenzhen 518000, China.
Jun LuoCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0003-4422-9619

Funding

Lingnan Modern Agricultural Science and Technology Guangdong Provincial Laboratory Zhaoqing Branch 's ' 14th Five-Year ' Independent Project P20211154-030303Specific university discipline construction project 2023B10564003
6 · The paper itself

Abstract

This study investigated the prevalence of 11 common pathogens in dogs and cats in Shenzhen, China, from January 2022 to March 2024, aiming to enhance the understanding of their epidemiological characteristics for improved disease control strategies. Diagnostic testing for the target pathogens was performed using polymerase chain reaction (PCR), colloidal gold test strips, or fluorescence immunoassay. Statistical analysis revealed that among 13,134 cats, Feline Panleukopenia Virus (FPV) showed the highest prevalence (35.83%), followed by Feline Calicivirus (FCV, 26.20%), Feline Infectious Peritonitis Virus (FIPV, 22.00%), and Feline Herpesvirus (FHV, 15.76%). Among 3626 dogs, Canine Parvovirus (CPV) and Canine Distemper Virus (CDV) were predominant, showing a prevalence of 54.55% and 42.83%, respectively. Risk factor analysis showed that most infections occurred in unvaccinated animals and young individuals (<1 year old), with higher incidences in winter and spring. Logistic regression indicated that sex, age, and season were significantly associated with FPV, FHV, and FIPV infections, while age and season were associated with FCV, CPV, and CDV infections (sex showed no association). This study contributes to the epidemiological knowledge of common infectious diseases in dogs and cats, providing a theoretical basis for disease prevention in dogs and cats.

Indexed as

catdoginfectious disease risk factorsprevalence

Identifiers

PMID41514737
PMCPMC12784829

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.