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Differentiating snail intermediate hosts of Schistosoma spp. using molecular approaches: fundamental to successful integrated control mechanism in Africa

Overview of attention for article published in Infectious Diseases of Poverty, March 2018
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Title
Differentiating snail intermediate hosts of Schistosoma spp. using molecular approaches: fundamental to successful integrated control mechanism in Africa
Published in
Infectious Diseases of Poverty, March 2018
DOI 10.1186/s40249-018-0401-z
Pubmed ID
Authors

Eniola Michael Abe, Wei Guan, Yun-Hai Guo, Kokouvi Kassegne, Zhi-Qiang Qin, Jing Xu, Jun-Hu Chen, Uwem Friday Ekpo, Shi-Zhu Li, Xiao-Nong Zhou

Abstract

Snail intermediate hosts play active roles in the transmission of snail-borne trematode infections in Africa. A good knowledge of snail-borne diseases epidemiology particularly snail intermediate host populations would provide the necessary impetus to complementing existing control strategy. This review highlights the importance of molecular approaches in differentiating snail hosts population structure and the need to provide adequate information on snail host populations by updating snail hosts genome database for Africa, in order to equip different stakeholders with adequate information on the ecology of snail intermediate hosts and their roles in the transmission of different diseases. Also, we identify the gaps and areas where there is need for urgent intervention to facilitate effective integrated control of schistosomiasis and other snail-borne trematode infections. Prioritizing snail studies, especially snail differentiation using molecular tools will boost disease surveillance and also enhance efficient schistosomaisis control programme in Africa.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 17%
Student > Ph. D. Student 18 13%
Student > Bachelor 17 12%
Lecturer 10 7%
Researcher 8 6%
Other 24 17%
Unknown 42 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 17%
Biochemistry, Genetics and Molecular Biology 15 10%
Medicine and Dentistry 14 10%
Immunology and Microbiology 10 7%
Environmental Science 10 7%
Other 23 16%
Unknown 47 33%