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首页> 外文期刊>Journal of Medical Entomology >Developing an evidence-based decision support system for rational insecticide choice in the control of African malaria vectors
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Developing an evidence-based decision support system for rational insecticide choice in the control of African malaria vectors

机译:开发基于证据的决策支持系统,以控制非洲疟疾媒介,合理选择杀虫剂

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The emergence of Anopheles species resistant to insecticides widely used in vector control has the potential to impact directly on the control of malaria. This may have a particularly dramatic effect in Africa, where pyrethroids impregnated onto bed-nets are the dominant insecticides used for vector control. Because the same insecticides are used for crop pests, the extensive use and misuse of insecticides for agriculture has contributed to the resistance problem in some vectors. The potential for resistance to develop in African vectors has been apparent since the 1950s, but the scale of the problem has been poorly documented. A geographical information system-based decision support system for malaria control has recently been established in Africa and used operationally in Mozambique. The system incorporates climate data and disease transmission rates, but to date it has not incorporated spatial or temporal data on vector abundance or insecticide resistance. As a first step in incorporating this information, available published data on insecticide resistance in Africa has now been collated and incorporated into this decision support system. Data also are incorporated onto the openly available Mapping Malaria Risk in Africa (MARA) Web site (http://www.mara.org.za). New data, from a range of vector population-monitoring initiatives, can now be incorporated into this open access database to allow a spatial understanding of resistance distribution and its potential impact on disease transmission to benefit vector control programs.
机译:广泛用于病媒控制中的对杀虫剂有抗性的按蚊物种的出现,有可能直接影响对疟疾的控制。在非洲,这可能会产生特别显着的影响,在非洲,将拟除虫菊酯浸渍在蚊帐上是控制病媒的主要杀虫剂。由于将相同的杀虫剂用于农作物害虫,因此在农业上广泛使用和滥用杀虫剂已导致某些媒介产生抗药性问题。自1950年代以来,人们对非洲病原体产生抗药性的潜力已经很明显,但是问题的规模却鲜有记载。最近在非洲建立了基于地理信息系统的疟疾控制决策支持系统,并已在莫桑比克投入使用。该系统结合了气候数据和疾病传播率,但是迄今为止,它还没有结合关于媒介丰度或杀虫剂抗性的空间或时间数据。作为纳入这些信息的第一步,现在已经整理了有关非洲杀虫剂抗药性的可用公开数据,并将其纳入该决策支持系统。数据也被合并到可公开使用的非洲地图疟疾风险(MARA)网站(http://www.mara.org.za)中。现在可以将来自一系列媒介媒介监测计划的新数据合并到此开放访问数据库中,以便对耐药性分布及其对疾病传播的潜在影响进行空间了解,从而使媒介控制计划受益。

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