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

作　　者：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 Kun Yang Jing Xu 

机构地区：[1]National 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.Ruijinnd Road,Shanghai,China [2]Jiangsu Institute of Parasitic Diseases,Wuxi,Jiangsu,China [3]Key Laboratory on Technology for Parasitic Disease Prevention and Control,Ministry of Health,Wuxi,Jiangsu,China [4]Jiangsu Provincial Key Laboratory on the Molecular Biology of Parasites,Wuxi,Jiangsu,China [5]School of Global Health,Chinese Center for Tropical Diseases Research,Shanghai Jiao Tong University School of Medicine,One Health Center,Shanghai Jiao Tong University-The University of Edinburgh,Shanghai,China [6]WHO Department of Control of Neglected Tropical Diseases,Geneva,Switzerland [7]Geospatial Health,Ingerod,formerly UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases(TDR),Brastad,Sweden [8]Ministry of Health of Zanzibar,P.O.Box,Zanzibar,United Republic of Tanzania [9]School of Public Health,Nanjing Medical University,Nanjing,China

出　　处：《Infectious Diseases of Poverty》2024年第5期1-15,共15页贫困所致传染病(英文)

基　　金：National Science Foundation of China(82073619);National Key Research and Development Program of China(2021YFC2300800,2021YFC2300804);General Programs of Jiangsu Commission of Health(H202309);Schistosomiasis and Parasitic Diseases Project of Jiangsu Province(×202103)。

摘　　要：Background The 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.Methods We searched literature published from January 1991 to December 2022,that reported on the prevalence rates ofSchistosoma mansoni,S.haematobium in the intermediate snailsBiomphalaria spp.andBulinus 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(I2),with correlation and regression analysis for the exploration of the relationship between humanS.mansoni andS.haematobium infections and that in their specific intermediate hosts.Results Forty-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 theBiomphalaria spp.snails and 6.9%(95%CI:5.7-8.1%)in theBulinus 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.Conclusions The prevalence rate ofS.mansoni andS.haematobium is still high in endemic areas.Given the significant,positive c

关 键 词：Schistosoma mansoni Schistosoma haematobium BULINUS BIOMPHALARIA PREVALENCE Correlation analysis META-ANALYSIS Africa 

分 类 号：R73[医药卫生—肿瘤]