Analysis of near infrared spectra for age-grading of wild populations of Anopheles gambiae

Parasites & Vectors
Benjamin J KrajacichBrian D Foy

Abstract

Understanding the age-structure of mosquito populations, especially malaria vectors such as Anopheles gambiae, is important for assessing the risk of infectious mosquitoes, and how vector control interventions may impact this risk. The use of near-infrared spectroscopy (NIRS) for age-grading has been demonstrated previously on laboratory and semi-field mosquitoes, but to date has not been utilized on wild-caught mosquitoes whose age is externally validated via parity status or parasite infection stage. In this study, we developed regression and classification models using NIRS on datasets of wild An. gambiae (s.l.) reared from larvae collected from the field in Burkina Faso, and two laboratory strains. We compared the accuracy of these models for predicting the ages of wild-caught mosquitoes that had been scored for their parity status as well as for positivity for Plasmodium sporozoites. Regression models utilizing variable selection increased predictive accuracy over the more common full-spectrum partial least squares (PLS) approach for cross-validation of the datasets, validation, and independent test sets. Models produced from datasets that included the greatest range of mosquito samples (i.e. different sampling locations a...Continue Reading

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Citations

Dec 1, 2020·Trends in Parasitology·David L SmithSamson Kiware
Dec 15, 2019·Trends in Parasitology·Brian J JohnsonGregor J Devine

Methods Mentioned

BETA
dissection
light microscopy
PCR

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