Evidence map›Paper›PMID 39218903›Full record

SynthesisInfectious diseases of poverty2024

Prevalence and correlations of schistosomiasis mansoni and schistosomiasis haematobium among humans and intermediate snail hosts: a systematic review and meta-analysis.

Xin-Yao Wang, Qin Li, Yin-Long Li, Su-Ying Guo, Shi-Zhu Li, Xiao-Nong Zhou, Jia-Gang Guo, Robert Bergquist, Saleh Juma, Jian-Feng Zhang and 2 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Infectious diseases of poverty, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Rapid and Sensitive Detection ofTropical medicine and infectious disease · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Biocontrol potential ofParasite epidemiology and control · 2025
    Article
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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

12 authors.

Xin-Yao WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, No. 207 Ruijin 2nd Road, Shanghai, 200025, China.
Qin LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, No. 207 Ruijin 2nd Road, Shanghai, 200025, China.
Yin-Long LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, No. 207 Ruijin 2nd Road, Shanghai, 200025, China.
Su-Ying GuoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, No. 207 Ruijin 2nd Road, Shanghai, 200025, China.
Shi-Zhu LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, No. 207 Ruijin 2nd Road, Shanghai, 200025, China.
Xiao-Nong ZhouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, No. 207 Ruijin 2nd Road, Shanghai, 200025, China.
Jia-Gang GuoWHO Department of Control of Neglected Tropical Diseases, Geneva, Switzerland.
Robert BergquistGeospatial Health, Ingerod, formerly UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases (TDR), Brastad, Sweden.
Saleh JumaMinistry of Health of Zanzibar, P.O. Box 236, Zanzibar, United Republic of Tanzania.
Jian-Feng ZhangJiangsu Institute of Parasitic Diseases, Wuxi, 214064, Jiangsu, China.
Kun YangJiangsu Institute of Parasitic Diseases, Wuxi, 214064, Jiangsu, China.
Jing XuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, No. 207 Ruijin 2nd Road, Shanghai, 200025, China. xujing@nipd.chinacdc.cn.ORCID http://orcid.org/0000-0002-4620-2025

Funding

Jiangsu Commission of Health H2023096Key Technologies Research and Development Program 2021YFC2300804Key Technologies Research and Development Program No. 2021YFC2300800National Natural Science Foundation of China 82073619the Schistosomiasis and Parasitic Diseases Project of Jiangsu Province x202103World Health Organization 001
6 · The paper itself

Abstract

backgroundThe control of schistosomiasis is particularly difficult in sub-Saharan Africa, which currently harbours 95% of this disease. The target population for preventive chemotherapy (PC) is expanded to all age group at risk of infection, thus increasing the demands of praziquantel (PZQ) tablets according to the new released guideline by World Health Organization. Due to the gap between available PZQ for PC and requirements, alternative approaches to assess endemicity of schistosomiasis in a community, are urgently needed for more quick and precise methods. We aimed to find out to which degree the infection status of snails can be used to guide chemotherapy against schistosomiasis.

methodsWe searched literature published from January 1991 to December 2022, that reported on the prevalence rates of Schistosoma mansoni, S. haematobium in the intermediate snails Biomphalaria spp. and Bulinus spp., respectively, and in humans. A random effect model for meta-analyses was used to calculate the pooled prevalence estimate (PPE), with heterogeneity assessed using I-squared statistic (I

resultsForty-seven publications comprising 59 field investigations were included. The pooled PPE of schistosomiasis, schistosomiasis mansoni and schistosomiasis haematobium in humans were 27.5% [95% confidence interval (CI): 24.0-31.1%], 25.6% (95% CI: 19.9-31.3%), and 28.8% (95% CI: 23.4-34.3%), respectively. The snails showed an overall infection rate of 8.6% (95% CI: 7.7-9.4%), with 12.1% (95% CI: 9.9-14.2%) in the Biomphalaria spp. snails and 6.9% (95% CI: 5.7-8.1%) in the Bulinus spp. snails. The correlation coefficient was 0.3 (95% CI: 0.01-0.5%, P < 0.05) indicating that the two variables, i.e. all intermediate host snails on the one hand and the human host on the other, were positively correlated.

conclusionsThe prevalence rate of S. mansoni and S. haematobium is still high in endemic areas. Given the significant, positive correlation between the prevalence of schistosomes in humans and the intermediate snail hosts, more attention should be paid to programme integration of snail surveillance in future.

Indexed as

BiomphalariaSchistosoma haematobiumSchistosoma mansoniSchistosomiasis haematobiaSchistosomiasis mansoniAfrica South of the SaharaAnimalsBulinusHumansPrevalenceSnailsAfricaBiomphalariaBulinusCorrelation analysisMeta-analysisPrevalenceSchistosoma haematobiumSchistosoma mansoni

Identifiers

PMID39218903
PMCPMC11367875

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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.