Evidence map›Paper›PMID 35590422›Full record

ArticleParasites & vectors2022

Spatial statistical and environmental correlation analyses on vector density, vector infection index and Japanese encephalitis cases at the village and pigsty levels in Liyi County, Shanxi Province, China.

Mei-De Liu, Chun-Xiao Li, Jing-Xia Cheng, Tong-Yan Zhao

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Mei-De Liu *Academy of Military Medical Sciences State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071, People's Republic of China.ORCID http://orcid.org/0000-0001-9613-4772
Chun-Xiao Li *Academy of Military Medical Sciences State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071, People's Republic of China.
Jing-Xia ChengShanxi Centers for Disease Control and Prevention, Taiyuan, 030012, People's Republic of China.
Tong-Yan ZhaoAcademy of Military Medical Sciences State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071, People's Republic of China. tongyanzhao@126.com.
Academy of Military Medical Sciences · CN

Funding

National Natural Science Foundation of China 81072349Science and Technology Planning Project of Shenzhen Municipality 2017ZX10303404
6 · The paper itself

Abstract

backgroundIn the eco-epidemiological context of Japanese encephalitis (JE), geo-environmental features influence the spatial spread of the vector (Culex tritaeniorhynchus, Giles 1901) density, vector infection, and JE cases.

methodsIn Liyi County, Shanxi Province, China, the spatial autocorrelation of mosquito vector density, vector infection indices, and JE cases were investigated at the pigsty and village scales. The map and Enhanced Thematic Mapper (ETM) remote sensing databases on township JE cases and geo-environmental features were combined in a Geographic Information System (GIS), and the connections among these variables were analyzed with regression and spatial analyses.

resultsAt the pigsty level, the vector density but not the infection index of the vector was spatially autocorrelated. For the pigsty vector density, the cotton field area was positively related, whereas the road length and the distance between pigsties and gullies were negatively related. In addition, the vector infection index was correlated with the pigsty vector density (PVD) and the number of pigs. At the village level, the vector density, vector infection index, and number of JE cases were not spatially autocorrelated. In the study area, the geo-environmental features, vector density, vector infection index, and JE case number comprised the Geo-Environment-Vector-JE (GEVJ) intercorrelation net system. In this system, pig abundance and cotton area were positive factors influencing the vector density first. Second, the infection index was primarily influenced by the vector density. Lastly, the JE case number was determined by the vector infection index and the wheat area.

conclusionsThis study provided quantitative associations among geo-environmental features, vectors, and the incidence of JE in study sties, one typical northern Chinese JE epidemiological area without rice cultivation. The results highlighted the importance of using a diverse range of environmental management methods to control mosquito disease vectors and provided useful information for improving the control of vector mosquitoes and reducing the incidence of JE in the northern Chinese agricultural context.

Indexed as

CulexCulicidaeEncephalitis, JapaneseEncephalitis Virus, JapaneseAnimalsMosquito VectorsSwineEnvironmentJapanese encephalitisMosquito vectorPigstySpatial analysis

Identifiers

PMID35590422
PMCPMC9118647
OpenAlexW4280555834

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.