Evidence map›Paper›PMID 26393632›Full record

ArticleInternational journal of environmental research and public health2015

Identifying Spatial Clusters of Schistosomiasis in Anhui Province of China: A Study from the Perspective of Application.

Liqian Sun, Yue Chen, Henry Lynn, Qizhi Wang, Shiqing Zhang, Rui Li, Congcong Xia, Qingwu Jiang, Yi Hu, Fenghua Gao and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. 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
0.9field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 7 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

11 authors at 4 institutions in 3 countries.

Liqian SunDepartment of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China. shelloloh@126.com.
Yue ChenFaculty of Medicine, School of Epidemiology, Pubic Health and Preventive Medicine, University of Ottawa, 451 Smyth Rd., Ottawa ON K1N 6N5, Canada. ychen@uottawa.ca.
Henry LynnDepartment of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China. hslynn@shmu.edu.cn.
Qizhi WangAnhui Institute of Parasitic Diseases, Wuhu 230061, China. 14111020001@fudan.edu.cn.
Shiqing ZhangAnhui Institute of Parasitic Diseases, Wuhu 230061, China. 09301020024@fudan.edu.cn.
Rui LiDepartment of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China. mmssddss@gmail.com.
Congcong XiaDepartment of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China. 14211020071@fudan.edu.cn.
Qingwu JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China. jiangqw@fudan.edu.cn.
Yi HuDepartment of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China. huy@lreis.ac.cn.
Fenghua GaoAnhui Institute of Parasitic Diseases, Wuhu 230061, China. ahxfbb@126.com.
Zhijie ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China. epistat@gmail.com.
Fudan University · CNJiangsu Institute of Parasitic Diseases · CNMinistry of Education · KRUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the strategy shifting from morbidity control to transmission interruption, the burden of schistosomiasis in China has been declining over the past decade. However, further controls of the epidemic in the lake and marshland regions remain a challenge. Prevalence data at county level were obtained from the provincial surveillance system in Anhui during 1997-2010. Spatial autocorrelation analysis and spatial scan statistics were combined to assess the spatial pattern of schistosomiasis. The spatial-temporal cluster analysis based on retrospective space-time scan statistics was further used to detect risk clusters. The Global Moran's I coefficients were mostly statistically significant during 1997-2004 but not significant during 2005-2010. The clusters detected by two spatial cluster methods occurred in Nanling, Tongling, Qingyang and Wuhu during 1997-2004, and Guichi and Wuhu from 2005 to 2010, respectively. Spatial-temporal cluster analysis revealed 2 main clusters, namely Nanling (1999-2002) and Guichi (2005-2008). The clustering regions were significantly narrowed while the spatial extent became scattered during the study period. The high-risk areas shifted from the low reaches of the Yangtze River to the upper stream, suggesting the focus of schistosomiasis control should be shifted accordingly and priority should be given to the snail habitats within the high-risk areas of schistosomiasis.

Indexed as

AdolescentAdultAgedChildChild, PreschoolChinaCluster AnalysisHumansMiddle AgedRisk AssessmentSchistosomiasisSpatio-Temporal AnalysisYoung AdultChinaschistosomiasisspatial clusteringspatial patternspatial-temporal clustering

Identifiers

PMID26393632
PMCPMC4586705
OpenAlexW2141804899

What OpenQuestion holds

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LicenceCC BY
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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.