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坦桑尼亚疟疾媒介种群的杀虫剂抗药性建模。

Modelling Insecticide Resistance of Malaria Vector Populations in Tanzania.

机构信息

RTI International, Washington, District of Columbia.

School of Medicine, Nottingham University, Nottingham, United Kingdom.

出版信息

Am J Trop Med Hyg. 2022 Jul 5;107(2):308-314. doi: 10.4269/ajtmh.21-0262. Print 2022 Aug 17.

Abstract

Anopheline mosquito insecticide resistance is a major threat to malaria control efforts and ultimately countries' ability to eliminate malaria. Using publicly available and published data we conducted spatial analyses to document and model the geo-spatial distribution of Anopheles gambiae s.l. insecticide resistance in Tanzania at national, regional, district and sub-district levels for the 2011 - 2017 period. We document anopheline mosquito resistance to all four major insecticide classes, with overall mosquito mortality declining from 2011 to 2016, and mean reductions of 1.6%, 0.5%, 0.4%, and 9.9% observed for organophosphates, carbamates, organochlorines and pyrethroids, respectively. An insecticide resistance map modeled for 2017 predicted that anopheline vector mortality was still above the 90% susceptibility threshold for all insecticide classes, except for pyrethroids. Using the model's output we calculated that resistance to organophosphates, carbamates, organochlorines, and pyrethroids is expected to exist in 11.6%, 15.6%, 8.1%, and 19.5% of Tanzania's territory, respectively, with areas in the Lake Zone and eastern Tanzania particularly affected. The methodology to predictively model available insecticide resistance data can readily be updated annually, allowing policy makers and malaria program management staff to continuously adjust their vector control approaches and plans, and determine where specific insecticides from various classes should be used to maximize intervention effectiveness.

摘要

按蚊对杀虫剂的抗药性是控制疟疾工作的主要威胁,最终也是各国消除疟疾能力的主要威胁。我们利用公开和已发表的数据进行了空间分析,以记录和模拟 2011 至 2017 年期间坦桑尼亚全国、地区、县和分区各级冈比亚按蚊对杀虫剂的抗药性的地理空间分布。我们记录了按蚊对所有四大类杀虫剂的抗药性,总的蚊虫死亡率从 2011 年下降到 2016 年,有机磷、氨基甲酸酯、有机氯和拟除虫菊酯的平均减少率分别为 1.6%、0.5%、0.4%和 9.9%。为 2017 年建模的抗药性地图预测,除了拟除虫菊酯之外,所有杀虫剂类别对按蚊媒介的死亡率仍高于 90%的敏感性阈值。根据模型的输出,我们计算出抗有机磷、氨基甲酸酯、有机氯和拟除虫菊酯的比例预计分别为坦桑尼亚领土的 11.6%、15.6%、8.1%和 19.5%,特别是在湖区和坦桑尼亚东部地区。预测性建模现有杀虫剂抗药性数据的方法可以很容易地每年更新,使决策者和疟疾规划管理工作人员能够不断调整其病媒控制方法和计划,并确定应使用各类杀虫剂中的哪些杀虫剂,以最大限度地提高干预效果。

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