Schistosomiasis transmission and control in China
Schistosomiasis transmission and control in China
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中国血吸虫病的传播与控制
DOI：
10.1016/j.actatropica.2014.12.004
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发表时间：
2015-03-01
期刊：
影响因子：
2.7
通讯作者：
Ruan, Shigui
中科院分区：
文献类型：
--
作者：
Zou, Lan;Ruan, Shigui
60年来，中国血吸虫病防治工作取得了很大进展。然而，由于三峡大坝和南水北调工程建设引起的生态系统变化、气候变化的影响、高度敏感的监测和反应系统的缺乏，血吸虫病仍然被认为是一个重大的公共卫生问题，并被列为该国优先控制和消除的主要传染病之一。根据血吸虫病的流行规律和媒介钉螺的生态特征，将我国血吸虫病流行区分为三类：(i)平原地区与水道网络，（ii）山区和丘陵地区，（iii）沼泽和湖泊地区。中国的目标是到2015年底，在湖泊和沼泽省份达到低于1%的传播控制阈值标准，在四川和云南等丘陵省份达到传播阻断阈值。本文的目的是使用我们早期研究中提出的确定性模型（Chen et al.，2010年），以模拟其他湖泊和沼泽省份，包括湖南，江西和安徽的血吸虫病感染数据。我们的模拟结果表明，该模型可以合理地模拟这些湖泊和沼泽省份的血吸虫病感染数据。因此，可以为这些省份设计和提出类似的控制和预防措施。我们还将尝试使用该模型来模拟来自四川和云南两省的血吸虫病感染数据，这些地区的山区和丘陵地区的养牛业不如湖泊和沼泽地省份那样流行和重要，并发现需要不同的控制和预防策略。(C)2014爱思唯尔有限公司版权所有。
In the last 60 years, great progress has been made in controlling and preventing schistosomiasis in China. However, due to the ecosystem changes caused by the construction of the Three Gorges Dams and the South-north Water Conversion Project, the effects of climate change, the scarcity of a highly sensitive surveillance and response system, schistosomiasis is still considered as a major public health problem and is listed among the top infectious diseases in the country prioritized for control and elimination. Based on the epidemiological pattern of schistosomiasis and ecological characteristics of the vector snail, endemic areas of schistosomiasis in China were categorized into three types:. (i) plain region with waterway networks, (ii) mountainous and hilly regions, and (iii) marshland and lake regions. China aims to reach the criteria of transmission control threshold of less than 1% in the lake and marshland provinces and reach transmission interruption threshold in hilly provinces of Sichuan and Yunnan by the end of 2015. The purpose of this article is to use the deterministic model proposed in our earlier study in (Chen et al., 2010) to simulate the schistosomiasis infection data from other lake and marshland provinces, including Hunan, Jiangxi and Anhui. Our simulations demonstrate that the model can reasonably mimic the schistosomiasis infection data from these lake and marshland provinces. Thus, similar control and prevention measures can be designed and proposed for these provinces. We will also try to use the model to simulate the schistosomiasis infection data from Sichuan and Yunnan provinces in the mountainous and hilly regions where cattle farming is not as popular and important as in the lake and marshland provinces and find out that different control and prevention strategies are required. (C) 2014 Elsevier B.V. All rights reserved.