Monitoring the Age of Mosquito Populations Using Near-Infrared Spectroscopy.
Monitoring the Age of Mosquito Populations Using Near-Infrared Spectroscopy.
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DOI：
10.1038/s41598-018-22712-z
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发表时间：
2018-03-27
影响因子：
4.6
通讯作者：
Churcher TS
中科院分区：
文献类型：
--
作者：
Lambert B;Sikulu-Lord MT;Mayagaya VS;Devine G;Dowell F;Churcher TS
使用蚊帐、残留喷雾剂或熏蒸剂控制蚊虫仍然是预防疟疾、登革热和寨卡等病媒传播疾病的最有效工具，尽管目前还没有广泛使用的昆虫学方法来直接评估其效力。蚊子寿命是评估杀死成年蚊子的干预措施的最具信息性的指标，但在实地没有简单或可靠的方法来测量它。近红外光谱（NIRS）已被证明是一种有前途的，高通量的方法，可以估计蚊子的年龄。目前，NIRS测量蚊子年龄的能力是有偏差的，并且具有相对较高的个体蚊子测量误差，尽管其在实地严格监测蚊子种群的能力从未被评估过。在这项研究中，我们使用化学计量学文献中的机器学习方法来生成更准确，无偏的个体蚊子年龄估计值。这些无偏估计产生精确的种群水平测量，当对可行数量的蚊子进行采样时，这些测量对NIRS准确性的进一步提高相对不敏感。近红外光谱的效用，直接测量拟除虫菊酯抗性对蚊子控制的影响进行了说明，显示该技术如何具有潜力，作为一个非常有价值的工具，直接评估蚊子控制干预措施的效果。
Mosquito control with bednets, residual sprays or fumigation remains the most effective tool for preventing vector-borne diseases such as malaria, dengue and Zika, though there are no widely used entomological methods for directly assessing its efficacy. Mosquito age is the most informative metric for evaluating interventions that kill adult mosquitoes but there is no simple or reliable way of measuring it in the field. Near-Infrared Spectroscopy (NIRS) has been shown to be a promising, high-throughput method that can estimate the age of mosquitoes. Currently the ability of NIRS to measure mosquito age is biased, and has relatively high individual mosquito measurement error, though its capacity to rigorously monitor mosquito populations in the field has never been assessed. In this study, we use machine learning methods from the chemometric literature to generate more accurate, unbiased estimates of individual mosquito age. These unbiased estimates produce precise population-level measurements, which are relatively insensitive to further increases in NIRS accuracy when feasible numbers of mosquitoes are sampled. The utility of NIRS to directly measure the impact of pyrethroid resistance on mosquito control is illustrated, showing how the technology has potential as a highly valuable tool for directly assessing the efficacy of mosquito control interventions.
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影响因子：
3
作者：
Kleinschmidt I;Mnzava AP;Kafy HT;Mbogo C;Bashir AI;Bigoga J;Adechoubou A;Raghavendra K;Knox TB;Malik EM;Nkuni ZJ;Bayoh N;Ochomo E;Fondjo E;Kouambeng C;Awono-Ambene HP;Etang J;Akogbeto M;Bhatt R;Swain DK;Kinyari T;Njagi K;Muthami L;Subramaniam K;Bradley J;West P;Massougbodji A;Okê-Sopoh M;Hounto A;Elmardi K;Valecha N;Kamau L;Mathenge E;Donnelly MJ
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通讯作者：
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影响因子：
3.5
作者：
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通讯作者：
Engelsen, SB
影响因子：
3.3
作者：
Sikulu, Maggy T.;Monkman, James;Hugo, Leon E.
通讯作者：
Hugo, Leon E.
影响因子：
3.2
作者：
Ntamatungiro AJ;Mayagaya VS;Rieben S;Moore SJ;Dowell FE;Maia MF
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Maia MF