Effects of individual characteristics and seasonality and their interaction on ectoparasite load of Daurian ground squirrels in Inner Mongolia, China.

Xiaoxu Wang, Meng Shang, Zihao Wang, Haoqiang Ji, Zhenxu Wang, Guangju Mo, Qiyong Liu

Abstract read

In one paragraph

Article in International journal for parasitology. Parasites and wildlife, 2024. 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

7 authors.

Xiaoxu WangDepartment of Vector Control, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.

Meng ShangDepartment of Vector Control, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.

Zihao WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, Department of Vector Biology and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.

Haoqiang JiDepartment of Vector Control, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.

Zhenxu WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, Department of Vector Biology and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.

Guangju MoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, Department of Vector Biology and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.

Qiyong LiuDepartment of Vector Control, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the drivers of parasite distribution is vital for ecosystem health, disease management, and vector monitoring. While studies note the impact of host sex, size, behavior, and season on parasite load, concurrent assessments of these factors and their interactions are limited. During the spring, summer and autumn seasons from 2021 to 2023, we trapped Daurian ground squirrel (

Indexed as

Daurian ground squirrelsFlea loadindividual characteristicsSeasonal effectTick load

Identifiers

PMID39558943

DOI10.1016/j.ijppaw.2024.101014

PMCPMC11570501

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.