[云南省阻断血吸虫病传播的进展与前景]。

Y Zhang, L Wang, X Feng, M Wu, M Shen, H Jiang, J Song, J Sun, C Chen, J Yan, Z Zhang, J Zhou, Y Dong, C Du
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引用次数: 0

摘要

血吸虫病曾一度在云南省高流行。经过 70 多年的共同努力,云南省血吸虫病防治工作取得了显著成绩。2004 年,云南省启动了《云南省血吸虫病防治中长期规划》,2009 年全省实现了血吸虫病传播控制目标。随着《云南省血吸虫病综合防治规划重点项目实施纲要(2009-2015 年)》和《云南省血吸虫病防治 "十三五 "规划》的相继实施,到 2020 年底,云南省已连续 12 年未发现急性血吸虫病,连续 6 年未发现人、畜和钉螺感染本地血吸虫病。云南省血吸虫病传播于 2020 年中断。本综述总结了云南省血吸虫病的历史、血吸虫病流行的变化和血吸虫病防治的进展,并提出了今后云南省血吸虫病防治工作的重点。
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[Progress of interruption of schistosomiasis transmission and prospects in Yunnan Province].

Schistosomiasis was once hyper-endemic in Yunnan Province. Following concerted efforts for over 70 years, remarkable achievements have been made for schistosomiasis control in the province. In 2004, the Mid- and Long-term Plan for Schistosomiasis Prevention and Control in Yunnan Province was initiated in Yunnan Province, and the target for transmission control of schistosomiasis was achieved in the province in 2009. Following the subsequent implementation of the Outline for Key Projects in Integrated Schistosomiasis Control Program (2009-2015) and the 13th Five - year Plan for Schistosomiasis Control in Yunnan Province, no acute schistosomiasis had been identified in Yunnan Province for successive 12 years, and no local Schistosoma japonicum infections had been detected in humans, animals or Oncomelania hupensis snails for successive 6 years in the province by the end of 2020. The transmission of schistosomiasis was interrupted in Yunnan Province in 2020. This review summarizes the history of schistosomiasis, changes in schistosomiasis prevalence and progress of schistosomiasis control in Yunnan Province, and proposes the future priorities for schistosomiasis control in the province.

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来源期刊
中国血吸虫病防治杂志
中国血吸虫病防治杂志 Medicine-Medicine (all)
CiteScore
1.30
自引率
0.00%
发文量
7021
期刊介绍: Chinese Journal of Schistosomiasis Control (ISSN: 1005-6661, CN: 32-1374/R), founded in 1989, is a technical and scientific journal under the supervision of Jiangsu Provincial Health Commission and organised by Jiangsu Institute of Schistosomiasis Control. It is a scientific and technical journal under the supervision of Jiangsu Provincial Health Commission and sponsored by Jiangsu Institute of Schistosomiasis Prevention and Control. The journal carries out the policy of prevention-oriented, control-oriented, nationwide and grassroots, adheres to the tenet of scientific research service for the prevention and treatment of schistosomiasis and other parasitic diseases, and mainly publishes academic papers reflecting the latest achievements and dynamics of prevention and treatment of schistosomiasis and other parasitic diseases, scientific research and management, etc. The main columns are Guest Contributions, Experts‘ Commentary, Experts’ Perspectives, Experts' Forums, Theses, Prevention and Treatment Research, Experimental Research, The main columns include Guest Contributions, Expert Commentaries, Expert Perspectives, Expert Forums, Treatises, Prevention and Control Studies, Experimental Studies, Clinical Studies, Prevention and Control Experiences, Prevention and Control Management, Reviews, Case Reports, and Information, etc. The journal is a useful reference material for the professional and technical personnel of schistosomiasis and parasitic disease prevention and control research, management workers, and teachers and students of medical schools.    The journal is now included in important domestic databases, such as Chinese Core List (8th edition), China Science Citation Database (Core Edition), China Science and Technology Core Journals (Statistical Source Journals), and is also included in MEDLINE/PubMed, Scopus, EBSCO, Chemical Abstract, Embase, Zoological Record, JSTChina, Ulrichsweb, Western Pacific Region Index Medicus, CABI and other international authoritative databases.
期刊最新文献
[Construction of a visual intelligent identification model for Oncomelania hupensis robertsoni in Yunnan Province based on the EfficientNet-B4 model]. [Application of artificial intelligence in parasitic diseases and parasitology]. [Progress of researches on mosquito salivary allergens]. [Prediction of areas of Oncomelania hupensis snail spread in Anhui Province based on five machine learning models]. [Prediction of potential geographic distribution of Oncomelania hupensis in Yunnan Province using random forest and maximum entropy models].
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