Impact of seasonality and malaria control interventions on Anopheles density and species composition from three areas of Uganda with differing malaria endemicity.

Impact of seasonality and malaria control interventions on Anopheles density and species composition from three areas of Uganda with differing malaria endemicity.
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DOI:
10.1186/s12936-021-03675-5
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发表时间:
2021-03-07
期刊:
影响因子:
3
通讯作者:
Staedke SG
Staedke SG
中科院分区:
医学3区
文献类型:
--
作者:
Mawejje HD;Kilama M;Kigozi SP;Musiime AK;Kamya M;Lines J;Lindsay SW;Smith D;Dorsey G;Donnelly MJ;Staedke SG

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长效驱虫蚊帐(LLINs)和室内滞留喷洒(IRS)是降低撒哈拉以南非洲传播强度的疟疾控制干预措施的主要原因。然而,这些干预措施可能对按蚊的种类组成和密度产生不同的影响。本研究调查了乌干达三个传播强度和媒介控制水平明显不同的地区按蚊种类的变化格局。2011年10月至2016年6月,在Walukuba(低传播)、Kihihi(中度传播)和Nagongera(高传播)3个地区随机抽取100户家庭,每月采用CDC灯诱法采集蚊虫。2013年11月在Walukuba和Nagongera以及2014年6月在Kihihi分发了LLINs。IRS仅在Nagongera实施,在2014年12月至2015年6月期间投放了三轮恶虫威。通过形态学和聚合酶链式反应(PCR)对蚊种进行鉴定。在Walukuba, LLIN分布与狐按蚊媒介密度下降相关(0.07 vs 0.02只/户/夜,密度比[DR] 0.34, 95% CI: 0.18 ~ 0.65, p = 0.001),但与冈比亚按蚊和阿拉伯按蚊无关。在Kihihi,超过98%的蚊子是安蚊。冈比亚s.s.和LLIN分布与An的下降有关。冈比亚病媒密度(4.00 vs 2.46, DR 0.68, 95% CI: 0.49 ~ 0.94, p = 0.02)。在Nagongera, LLINs和多轮IRS的结合几乎完全消除了An。冈比亚(28.0 vs 0.17, DR 0.004, 95% CI: 0.002 ~ 0.009, p < 0.001);(1 .)(3.90 vs 0.006, DR 0.001, 95% CI: 0.0005-0.004, p < 0.001), An的下降不太明显。arabiensis (9.18 vs 2.00, DR 0.15 95% CI: 0.07-0.33, p < 0.001)。LLIN的分布与An的减少有关。在最低传播位点有蕈状菌;冈比亚血吸虫在中度传播部位。在最高传播位点,LLINs和多轮IRS的组合与An的濒临崩溃有关。冈比亚s.s.和安。funestus s.l.继美国国税局之后。作为一种具有行为弹性的病媒,Arabiensis成为优势种,这可能对疟疾病媒控制活动产生影响。制定针对户外咬人的干预措施仍然是一个优先事项。
Long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) are the malaria control interventions primarily responsible for reductions in transmission intensity across sub-Saharan Africa. These interventions, however, may have differential impact on Anopheles species composition and density. This study examined the changing pattern of Anopheles species in three areas of Uganda with markedly different transmission intensities and different levels of vector control. From October 2011 to June 2016 mosquitoes were collected monthly using CDC light traps from 100 randomly selected households in three areas: Walukuba (low transmission), Kihihi (moderate transmission) and Nagongera (high transmission). LLINs were distributed in November 2013 in Walukuba and Nagongera and in June 2014 in Kihihi. IRS was implemented only in Nagongera, with three rounds of bendiocarb delivered between December 2014 and June 2015. Mosquito species were identified morphologically and by PCR (Polymerase Chain Reaction). In Walukuba, LLIN distribution was associated with a decline in Anopheles funestus vector density (0.07 vs 0.02 mosquitoes per house per night, density ratio [DR] 0.34, 95% CI: 0.18–0.65, p = 0.001), but not Anopheles gambiae sensu stricto (s.s.) nor Anopheles arabiensis. In Kihihi, over 98% of mosquitoes were An. gambiae s.s. and LLIN distribution was associated with a decline in An. gambiae s.s. vector density (4.00 vs 2.46, DR 0.68, 95% CI: 0.49–0.94, p = 0.02). In Nagongera, the combination of LLINs and multiple rounds of IRS was associated with almost complete elimination of An. gambiae s.s. (28.0 vs 0.17, DR 0.004, 95% CI: 0.002–0.009, p < 0.001), and An. funestus sensu lato (s.l.) (3.90 vs 0.006, DR 0.001, 95% CI: 0.0005–0.004, p < 0.001), with a less pronounced decline in An. arabiensis (9.18 vs 2.00, DR 0.15 95% CI: 0.07–0.33, p < 0.001). LLIN distribution was associated with reductions in An. funestus s.l. in the lowest transmission site and An. gambiae s.s. in the moderate transmission site. In the highest transmission site, a combination of LLINs and multiple rounds of IRS was associated with the near collapse of An. gambiae s.s. and An. funestus s.l. Following IRS, An. arabiensis, a behaviourally resilient vector, became the predominant species, which may have implications for malaria vector control activities. Development of interventions targeted at outdoor biting remains a priority.
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