Evidence map›Paper›PMID 35715846›Full record

ArticleParasites & vectors2022

Flea index predicts plague epizootics among great gerbils (Rhombomys opimus) in the Junggar Basin China plague focus.

Wenting Mou, Bo Li, Xiaojun Wang, Ying Wang, Peihua Liao, Xiaobing Zhang, Youjun Gui, Guliayi Baokaixi, Yongjun Luo, Mukedaisi Aihemaijiang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Wenting Mou *Microbiological Laboratory, Urumqi Center for Disease Control and Prevention, Urumqi, China.
Bo Li *Department of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China.
Xiaojun Wang *Department of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China.
Ying WangDepartment of Human Resource, Xinjiang Center for Disease Control and Prevention, Urumqi, China.
Peihua LiaoDepartment of Science and Education, Xinjiang Center for Disease Control and Prevention, Urumqi, China.
Xiaobing ZhangDepartment of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China.
Youjun GuiDepartment of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China.
Guliayi BaokaixiDepartment of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China.
Yongjun LuoDepartment of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China.
Mukedaisi AihemaijiangDepartment of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China.
Qiguo WangDepartment of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China. 654684589@qq.com.
Feng LiuDepartment of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China. 644984490@qq.com.
Xinjiang Uygur Autonomous Region Disease Prevention and Control Center · CN

Funding

The Sub-Program of the Major Program for the National Science and Technology 2018ZX10101-002-002-008
6 · The paper itself

Abstract

backgroundThe Junggar Basin plague focus was the most recently identified natural plague focus in China. Through extensive field investigations, great gerbils (Rhombomys opimus) have been confirmed as the main host in this focus, and the community structure of their parasitic fleas is associated with the intensity of plague epizootics. The aim of this study is to provide an indicator that can be surveyed to evaluate the risk of plague epizootics.

methodsBetween 2005 and 2016, rodents and fleas were collected in the Junggar Basin plague focus. The parasitic fleas on great gerbils were harvested, and anti-F1 antibody in the serum or heart infusion of great gerbils was detected through indirect hemagglutination assay. Yersinia pestis (Y. pestis) was isolated from the liver and spleen of great gerbils and their parasitic fleas using Luria-Bertani plates. Receiver-operating characteristic (ROC) curve was used to evaluate the predictive value of flea index.

resultsBetween 2005 and 2016, 98 investigations were performed, and 6778 great gerbils and 68,498 fleas were collected. Twenty-seven rodents were positive for Y. pestis isolation with a positivity rate of 0.4%; 674 rodents were positive for anti-F1 antibody with a positivity rate of 9.9%. Among these 98 investigations, plague epizootics were confirmed in 13 instances by Y. pestis-positive rodents and in 59 instances by anti-F1 antibody-positive rodents. We observed a higher flea index among rodents with confirmed plague epizootic compared to the negative ones (P = 0.001, 0.002), with an AUC value of 0.659 (95% CI: 0.524-0.835, P = 0.038) for Y. pestis-positive rodents and an AUC value of 0.718 (95% CI: 0.687-0.784, P < 0.001) for anti-F1 antibody-positive rodents.

conclusionsSignificantly higher flea index was associated with confirmed plague epizootic cases among great gerbils and could be used to predict plague epizootics in this focus.

Indexed as

Flea InfestationsPlagueSiphonapteraYersinia pestisAnimalsChinaGerbillinaeFlea indexGreat gerbilsJunggar Basin plague focusPlague epizooticPrediction

Identifiers

PMID35715846
PMCPMC9205042
OpenAlexW4283033143

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.