Evidence map›Paper›PMID 41078491›Full record

ArticleFrontiers in veterinary science2025

Enhancing rural veterinary governance: coupling veterinary human resources with public attention to animal welfare.

Xianhang Xu, Hong Liu, Jiejing Yang, Mohd Anuar Arshad, Yinglei He, Qianqian Chen, Chenshu Yu

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

7 authors.

Xianhang Xu *School of Management, Chongqing Institute of Engineering, Chongqing, China.
Hong Liu *School of Economics and Management, Tianjin Tianshi College, Tianjin, China.
Jiejing YangSchool of Management, Universiti Sains Malaysia, Penang, Malaysia.
Mohd Anuar ArshadSchool of Management, Universiti Sains Malaysia, Penang, Malaysia.
Yinglei HeSchool of Foreign Languages and Literature, Heilongjiang University, Harbin, China.
Qianqian ChenSchool of Management, Chongqing Institute of Engineering, Chongqing, China.
Chenshu YuSchool of Management, Universiti Sains Malaysia, Penang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to evaluate the coordination between veterinary human resources (VHR) and public awareness of animal welfare (PAAW) within the context of rural veterinary governance in China. It investigates how mismatches between institutional service capacity and public demand affect the development of animal health systems and human-animal relationships. Methods: The study proposes a framework to examine the coupling between veterinary service supply and public awareness through the VHR and PAAW subsystems across 31 Chinese provinces from 2014 to 2023. It calculates annual scores using the entropy weight method, checks causal links with a panel vector autoregression (PVAR) model, and assesses coordination using the coupling coordination degree (CCD) model to assess their alignment. The relative development degree (RDD) model is further applied to evaluate development imbalances, while geographic information system (GIS) mapping visualizes spatial coordination patterns. Results: PAAW has steadily increased in most areas, while VHR has grown more slowly. There is a unidirectional relationship where VHR significantly drives PAAW, but the reverse effect is weak. The overall CCD remains low, with most provinces showing a "VHR Lag" type, pointing to structural imbalances in supply-demand coordination. Conclusion: The study highlights the need to enhance the veterinary workforce and promote public engagement to improve animal health governance. The proposed framework offers a transferable tool for assessing implementation gaps and regional disparities in veterinary service provision, contributing to integrated approaches that connect veterinary systems, public awareness, and rural development.

Indexed as

animal welfarecoupling coordination degreepublic awarenessrural governanceveterinary human resources

Identifiers

PMID41078491
PMCPMC12507637

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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.