Evidence map›Paper›PMID 28270197›Full record

ArticleParasites & vectors2017

Village-based spatio-temporal cluster analysis of the schistosomiasis risk in the Poyang Lake Region, China.

Congcong Xia, Robert Bergquist, Henry Lynn, Fei Hu, Dandan Lin, Yuwan Hao, Shizhu Li, Yi Hu, Zhijie Zhang

Abstract read
In one paragraph

Article in Parasites & vectors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Impact of the National Wetland Park in the Poyang Lake Area onTropical medicine and infectious disease · 2023
    Article
  4. Article
  5. Identifying and Predicting the Geographical Distribution Patterns ofInternational journal of environmental research and public health · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. 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

9 authors.

Congcong XiaDepartment of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, 200032, China.
Robert BergquistIngerod, Brastad, Sweden.
Henry LynnDepartment of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, 200032, China.
Fei HuJiangxi Institute of Schistosomiasis Prevention and Control, Nanchang, 330000, China.
Dandan LinJiangxi Institute of Schistosomiasis Prevention and Control, Nanchang, 330000, China.
Yuwan HaoNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200032, China.
Shizhu LiNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200032, China. Lisz@chinacdc.cn.
Yi HuDepartment of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, 200032, China. huy@lreis.ac.cn.
Zhijie ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, 200032, China. epistat@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Poyang Lake Region, one of the major epidemic sites of schistosomiasis in China, remains a severe challenge. To improve our understanding of the current endemic status of schistosomiasis and to better control the transmission of the disease in the Poyang Lake Region, it is important to analyse the clustering pattern of schistosomiasis and detect the hotspots of transmission risk.

resultsBased on annual surveillance data, at the village level in this region from 2009 to 2014, spatial and temporal cluster analyses were conducted to assess the pattern of schistosomiasis infection risk among humans through purely spatial (Local Moran's I, Kulldorff and Flexible scan statistic) and space-time scan statistics (Kulldorff). A dramatic decline was found in the infection rate during the study period, which was shown to be maintained at a low level. The number of spatial clusters declined over time and were concentrated in counties around Poyang Lake, including Yugan, Yongxiu, Nanchang, Xingzi, Xinjian, De'an as well as Pengze, situated along the Yangtze River and the most serious area found in this study. Space-time analysis revealed that the clustering time frame appeared between 2009 and 2011 and the most likely cluster with the widest range was particularly concentrated in Pengze County.

conclusionsThis study detected areas at high risk for schistosomiasis both in space and time at the village level from 2009 to 2014 in Poyang Lake Region. The high-risk areas are now more concentrated and mainly distributed at the river inflows Poyang Lake and along Yangtze River in Pengze County. It was assumed that the water projects including reservoirs and a recently breached dyke in this area were partly to blame. This study points out that attempts to reduce the negative effects of water projects in China should focus on the Poyang Lake Region.

Indexed as

AnimalsChinaHumansLakesRural HealthSchistosoma japonicumSchistosomiasisSnailsSpatio-Temporal AnalysisPoyang Lake Region, ChinaSchistosomiasisSpatio-temporal

Identifiers

PMID28270197
PMCPMC5341164

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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.