Evidence map›Paper›PMID 30384860›Full record

ArticleInfectious diseases of poverty2018

Geographic distribution of echinococcosis in Tibetan region of Sichuan Province, China.

Lei Liu, Bing Guo, Wei Li, Bo Zhong, Wen Yang, Shu-Cheng Li, Qian Wang, Xing Zhao, Ke-Jun Xu, Sheng-Chao Qin and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infectious diseases of poverty, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

15 authors.

Lei LiuDepartment of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, No.6 Zhongxue Road, Chengdu, 610041, China.
Bing GuoWest China School of Public Health, Sichuan University, No.16 3rd Section of Renmin South Road, Chengdu, 610041, China.
Wei LiGanzi Center for Disease Control and Prevention, No.139 Lucheng South Road, Ganzi Prefecture, 626000, China.
Bo ZhongDepartment of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, No.6 Zhongxue Road, Chengdu, 610041, China. zhongbo1968@163.com.
Wen YangDepartment of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, No.6 Zhongxue Road, Chengdu, 610041, China.
Shu-Cheng LiAba Center for Disease Control and Prevention, No.178 Meigu Street, Aba Prefecture, 624000, China.
Qian WangDepartment of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, No.6 Zhongxue Road, Chengdu, 610041, China.
Xing ZhaoWest China School of Public Health, Sichuan University, No.16 3rd Section of Renmin South Road, Chengdu, 610041, China.
Ke-Jun XuGanzi Center for Disease Control and Prevention, No.139 Lucheng South Road, Ganzi Prefecture, 626000, China.
Sheng-Chao QinAba Center for Disease Control and Prevention, No.178 Meigu Street, Aba Prefecture, 624000, China.
Yan HuangDepartment of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, No.6 Zhongxue Road, Chengdu, 610041, China.
Wen-Jie YuDepartment of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, No.6 Zhongxue Road, Chengdu, 610041, China.
Wei HeDepartment of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, No.6 Zhongxue Road, Chengdu, 610041, China.
Sha LiaoDepartment of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, No.6 Zhongxue Road, Chengdu, 610041, China.
Qi WangDepartment of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, No.6 Zhongxue Road, Chengdu, 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEchinococcosis is a parasitic zoonosis caused by Echinococcus larvae parasitism causing high mortality. The Tibetan Region of Sichuan Province is a high prevalence area for echinococcosis in China. Understanding the geographic distribution pattern is necessary for precise control and prevention. In this study, a spatial analysis was conducted to explore the town-level epidemiology of echinococcosis in the Sichuan Tibetan Region and to provide guidance for formulating regional prevention and control strategies.

methodsThe study was based on reported echinococcosis cases by the end of 2017, and each case was geo-coded at the town level. Spatial empirical Bayes smoothing and global spatial autocorrelation were used to detect the spatial distribution pattern. Spatial scan statistics were applied to examine local clusters.

resultsThe spatial distribution of echinococcosis in the Sichuan Tibetan Region was mapped at the town level in terms of the crude prevalence rate, excess hazard and spatial smoothed prevalence rate. The spatial distribution of echinococcosis was non-random and clustered with the significant global spatial autocorrelation (I = 0.7301, P = 0.001). Additionally, five significant spatial clusters were detected through the spatial scan statistic.

conclusionsThere was evidence for the existence of significant echinococcosis clusters in the Tibetan Region of Sichuan Province, China. The results of this study may assist local health departments with developing better prevention strategies and prompt more efficient public health interventions.

Indexed as

Spatial AnalysisAnimalsBayes TheoremChinaEchinococcosisEchinococcusGeographyHumansPublic HealthTibetZoonosesEchinococcosisMoran’s ISpatial autocorrelation analysisSpatial cluster analysis

Identifiers

PMID30384860
PMCPMC6214160

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LicenceCC BY
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Registered trials

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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.