Evidence map›Paper›PMID 41709336›Full record

ArticleParasites & vectors2026

Ecological patterns and spatial distribution of medicinal mollusks in a freshwater ecosystem.

Junhua Liu, Lifan Xiao, Jianfeng Zhang, Beixin Wang, Ming Du, Jun Chen, Jinming Zhu, Liang Shi, Kun Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Parasites & vectors, 2026. 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
–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

1 citing paper in PubMed.

  1. Epidemiology ofVeterinary sciences · 2026
    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.

Junhua Liu *Wuxi Binhu District Center for Disease Control and Prevention, Wuxi, 214063, China.
Lifan Xiao *Wuxi Binhu District Center for Disease Control and Prevention, Wuxi, 214063, China.
Jianfeng ZhangNational Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory On Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Jiangsu, 117 Yangxiang, Meiyuan, Wuxi, 214064, China.
Beixin WangLaboratory of Aquatic Insects and Stream Ecology, Department of Entomology, Nanjing Agricultural University, Nanjing, 210095, China.
Ming DuWuxi Binhu District Center for Disease Control and Prevention, Wuxi, 214063, China.
Jun ChenWuxi Binhu District Center for Disease Control and Prevention, Wuxi, 214063, China.
Jinming ZhuWuxi Binhu District Center for Disease Control and Prevention, Wuxi, 214063, China.
Liang ShiNational Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory On Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Jiangsu, 117 Yangxiang, Meiyuan, Wuxi, 214064, China. jipd1950sl@163.com.
Kun YangNational Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory On Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Jiangsu, 117 Yangxiang, Meiyuan, Wuxi, 214064, China. yangkun@jipd.com.

Funding

Jiangsu Provincial Endemic Diseases Association Research Project No. x202105Jiangsu Provincial Health Commission Research Projects No. M2021102, No. x202302Wuxi Municipal Health Commission Project T202442Wuxi Science and Technology Bureau Project No. Y20212048
6 · The paper itself

Abstract

backgroundThe Lake Taihu wetland in the Yangtze River Delta is a key freshwater ecosystem. Medicinal mollusks act as intermediate hosts for multiple parasitic diseases, yet their distribution patterns and public health implications along the northern shore of Lake Taihu remain insufficiently characterized.

methodsField surveys were conducted between 2022 and 2023 at 48 sampling sites in Zhushan Bay, Meiliang Bay, and Gonghu Bay. A total of 1605 mollusk samples were collected using multiple sampling methods. Species were identified morphologically, and diversity indices were calculated. Spatial hotspots were analyzed using ArcGIS, and a mollusk-parasite network was constructed using Cytoscape. Inter-bay differences were assessed using statistical analyses.

resultsTwenty mollusk species were identified, with Viviparidae showing the highest density and Planorbidae the greatest species richness. Sinotaia aeruginosa was the dominant species. Radix swinhoei and R. plicatula occupied key positions within the parasite transmission network. Zhushan Bay exhibited the lowest community evenness, and hotspot analysis identified spatially aggregated high-risk areas.

conclusionsMedicinal mollusks along the northern shore of Lake Taihu exhibit high diversity and density, with Zhushan Bay representing a critical area for parasite transmission. Targeted control strategies focusing on key host species and high-risk ecological nodes are recommended to support risk early-warning systems and reduce regional mollusk-borne parasitic disease risks.

Indexed as

EcosystemFresh WaterMolluscaAnimalsBiodiversityChinaLakesGIS analysisLake TaihuMedicinal mollusksMollusk monitoringParasitic diseasesSpatial aggregation

Identifiers

PMID41709336
PMCPMC12997700

What OpenQuestion holds

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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.