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Approaches being used in the national schistosomiasis elimination programme in China: a review

Overview of attention for article published in Infectious Diseases of Poverty, March 2017
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Title
Approaches being used in the national schistosomiasis elimination programme in China: a review
Published in
Infectious Diseases of Poverty, March 2017
DOI 10.1186/s40249-017-0271-9
Pubmed ID
Authors

Le-Ping Sun, Wei Wang, Qing-Biao Hong, Shi-Zhu Li, You-Sheng Liang, Hai-Tao Yang, Xiao-Nong Zhou

Abstract

Schistosomiasis japonica, caused by the human blood fluke Schistosoma japonicum, remains a major public health problem in China, although great success has been achieved. The control efforts during the past half-decade, notably the wide implementation of the new integrated strategy with emphasis on control of the source of S. japonicum infection across the country since 2004, has greatly reduced S. japonicum in humans, livestock, and intermediate host Oncomelania hupensis snails, and transmission control of schistosomiasis was achieved in China in 2015. A two-stage roadmap was therefore proposed for schistosomiasis elimination in 2015, with aims to achieve transmission interruption by 2020 and achieve disease elimination by 2025 in the country. During the last two decades, a variety of approaches, which target the epidemiological factors of schistosomiasis japonica have been developed, in order to block the transmission cycle of the parasite. These approaches have been employed in the national or local schistosomiasis control activities, and facilitated, at least in part, the progress of the schistosomiasis elimination programs. Here, we present an approach to control the source of S. japonicum infection, three new tools for snail control, three approaches for detecting and monitoring S. japonicum infection, and a novel model for health education. These approaches are considered to play a great role in the stage moving towards transmission interruption and elimination of schistosomiasis in China.

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Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 28%
Researcher 10 12%
Student > Bachelor 10 12%
Student > Ph. D. Student 5 6%
Student > Doctoral Student 4 5%
Other 14 17%
Unknown 15 19%
Readers by discipline Count As %
Medicine and Dentistry 16 20%
Nursing and Health Professions 10 12%
Agricultural and Biological Sciences 9 11%
Immunology and Microbiology 6 7%
Environmental Science 5 6%
Other 16 20%
Unknown 19 23%