Evidence map›Paper›PMID 40703200›Full record

ArticleTransboundary and emerging diseases2025

Meteorological, Socioeconomic, and Environmental Factors Influencing Human Brucellosis Occurrence in Yunnan, China, 2006-2021: A Bayesian Spatiotemporal Modeling Study.

Ke Li, Jidan Zhang, Binbin Yu, Michael P Ward, Mengxin Liu, Yuanhua Liu, Zengliang Wang, Zhuohang Chen, Wenjin Li, Na Wang and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Transboundary and emerging diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

15 authors.

Ke LiShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-4280-1266
Jidan ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China.ORCID https://orcid.org/0009-0001-0119-5992
Binbin YuZoonosis Control and Prevention Department, Yunnan Institute of Endemic Diseases Control and Prevention, Kunming, Yunnan, China.
Michael P WardSydney School of Veterinary Science, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-9921-4986
Mengxin LiuShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.
Yuanhua LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China.
Zengliang WangDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Zhuohang ChenDepartment of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China.
Wenjin LiShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.
Na WangDepartment of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China.
Yu ZhaoDepartment of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China.ORCID https://orcid.org/0009-0009-9592-5260
Xiangdong YangZoonosis Control and Prevention Department, Yunnan Institute of Endemic Diseases Control and Prevention, Kunming, Yunnan, China.
Fuping YangZoonosis Control and Prevention Department, Yunnan Institute of Endemic Diseases Control and Prevention, Kunming, Yunnan, China.
Peng WangZoonosis Control and Prevention Department, Yunnan Institute of Endemic Diseases Control and Prevention, Kunming, Yunnan, China.ORCID https://orcid.org/0000-0002-3350-1835
Zhijie ZhangShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-1276-787X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

BrucellosisBayes TheoremChinaEnvironmentHumansMeteorological ConceptsRisk FactorsSocioeconomic FactorsSpatio-Temporal AnalysisBayesian spatiotemporal modelbrucellosisinfluencing factorszoonosis

Identifiers

PMID40703200
PMCPMC12286696

What OpenQuestion 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 OpenQuestion graph.