Evidence map›Paper›PMID 40078661›Full record

ArticleBiosafety and health2024

Relationship between climatic factors and the flea index of two plague hosts in Xilingol League, Inner Mongolia Autonomous Region.

Lu Zhang, Zihao Wang, Nan Chang, Meng Shang, Xiaohui Wei, Ke Li, Jinyu Li, Xinchang Lun, Haoqiang Ji, Qiyong Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosafety and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Identification of the PathogenVeterinary sciences · 2025
    Article
  3. 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

10 authors.

Lu ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, WHO Collaborating Centre for Vector Surveillance and Management, Beijing 102206, China.
Zihao WangSchool of Public Health, Nanjing Medical University, Nanjing 211166, China.
Nan ChangSchool of Public Health, Nanjing Medical University, Nanjing 211166, China.
Meng ShangSchool of Public Health, Cheeloo College Medicine, Shandong University, Jinan 250012, China.
Xiaohui WeiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, WHO Collaborating Centre for Vector Surveillance and Management, Beijing 102206, China.
Ke LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, WHO Collaborating Centre for Vector Surveillance and Management, Beijing 102206, China.
Jinyu LiSchool of Public Health, Cheeloo College Medicine, Shandong University, Jinan 250012, China.
Xinchang LunNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, WHO Collaborating Centre for Vector Surveillance and Management, Beijing 102206, China.
Haoqiang JiSchool of Public Health, Cheeloo College Medicine, Shandong University, Jinan 250012, China.
Qiyong LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, WHO Collaborating Centre for Vector Surveillance and Management, Beijing 102206, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climatic factors are closely associated with the occurrence of vector-borne diseases, and they also influence the distribution of vectors. The occurrence of plague is closely related to the population dynamics of fleas and their host animals, as well as climatic conditions. This study focused on Xilingol League, utilizing climatic and flea index data from 2012 to 2021. Spearman correlation and "Boruta" importance analysis were conducted to screen for climatic variables. A generalized additive model (GAM) was employed to investigate the influence of climatic factors and rodent density on the flea index. GAM analysis revealed distinct trends in flea index among different rodent hosts. For

Indexed as

Climate changeFleaMeriones unguiculatusPlagueSpermophilus dauricus

Identifiers

PMID40078661
PMCPMC11894972

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.