Evidence map›Paper›PMID 36221118›Full record

ArticleParasites & vectors2022

Cross-watershed distribution pattern challenging the elimination of Oncomelania hupensis, the intermediate host of Schistosoma japonica, in Sichuan province, China.

Shen Chen, Ding Lu, Lei Duan, Ben Ma, Chao Lv, Yin-Long Li, Shen-Ning Lu, Lan-Hua Li, Liang Xu, Zi-Song Wu and 4 more

Abstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. The Current Distribution ofTropical medicine and infectious disease · 2023
    Article
  4. Population Genetics ofTropical medicine and infectious disease · 2023
    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

14 authors.

Shen ChenNational Institute of Parasitic Diseases, China CDC (Chinese Center for Tropical Diseases Research); Key Laboratory on parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Ding LuSichuan Center for Disease Control and Prevention, Chengdu, 610044, China.
Lei DuanNational Institute of Parasitic Diseases, China CDC (Chinese Center for Tropical Diseases Research); Key Laboratory on parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Ben MaNational Institute of Parasitic Diseases, China CDC (Chinese Center for Tropical Diseases Research); Key Laboratory on parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Chao LvNational Institute of Parasitic Diseases, China CDC (Chinese Center for Tropical Diseases Research); Key Laboratory on parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Yin-Long LiNational Institute of Parasitic Diseases, China CDC (Chinese Center for Tropical Diseases Research); Key Laboratory on parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Shen-Ning LuNational Institute of Parasitic Diseases, China CDC (Chinese Center for Tropical Diseases Research); Key Laboratory on parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Lan-Hua LiWeifang Medical University, Weifang, 261053, China.
Liang XuSichuan Center for Disease Control and Prevention, Chengdu, 610044, China.
Zi-Song WuSichuan Center for Disease Control and Prevention, Chengdu, 610044, China.
Shang XiaNational Institute of Parasitic Diseases, China CDC (Chinese Center for Tropical Diseases Research); Key Laboratory on parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Jing XuNational Institute of Parasitic Diseases, China CDC (Chinese Center for Tropical Diseases Research); Key Laboratory on parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Yang LiuSichuan Center for Disease Control and Prevention, Chengdu, 610044, China. liuyangcdc@163.com.
Shan LvNational Institute of Parasitic Diseases, China CDC (Chinese Center for Tropical Diseases Research); Key Laboratory on parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China. lvshan@nipd.chinacdc.cn.

Funding

National Key Research and Development Program of China No. 2021YFC2300800, 2021YFC2300804
6 · The paper itself

Abstract

backgroundSnail control is critical to schistosomiasis control efforts in China. However, re-emergence of Oncomelania hupensis is challenging the achievements of schistosomiasis control. The present study aimed to test whether the amphibious snails can spread across watersheds using a combination of population genetics and geographic statistics.

methodsThe digital maps and attributes of snail habitats were obtained from the national survey on O. hupensis. Snail sampling was performed in 45 counties of Sichuan Province. The cox1 gene of specimens was characterized by sequencing. Unique haplotypes were found for phylogenetic inference and mapped in a geographical information system (GIS). Barriers of gene flow were identified by Monmonier's maximum difference algorithm. The watercourses and watersheds in the study area were determined based on a digital elevation model (DEM). Plain areas were defined by a threshold of slope. The slope of snail habitats was characterized and the nearest distance to watercourses was calculated using a GIS platform. Spatial dynamics of high-density distributions were observed by density analysis of snail habitats.

resultsA total of 422 cox1 sequences of O. hupensis specimens from 45 sampling sites were obtained and collapsed into 128 unique haplotypes or 10 clades. Higher haplotype diversity in the north of the study area was observed. Four barriers to gene flow, leading to five sub-regions, were found across the study area. Four sub-regions ran across major watersheds, while high-density distributions were confined within watersheds. The result indicated that snails were able to disperse across low-density areas. A total of 63.48% habitats or 43.29% accumulated infested areas were distributed in the plain areas where the overall slope was < 0.94°. Approximately 90% of snail habitats were closer to smaller watercourses. Historically, high-density areas were mainly located in the plains, but now more were distributed in hilly region.

conclusionsOur study showed the cross-watershed distribution of Oncomelania snails at a large scale. Natural cross-watershed spread in plains and long-distance dispersal by humans and animals might be the main driver of the observed patterns. We recommend cross-watershed joint control strategies for snail and schistosomiasis control.

Indexed as

GastropodaSchistosomiasisAnimalsChinaEcosystemHumansPhylogenySchistosomaOncomelania hupensisPopulation geneticsSpatial analysisWatershed

Identifiers

PMID36221118
PMCPMC9555091

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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.