ArticleScientific reports2018
First report on the application of near-infrared spectroscopy to predict the age of Aedes albopictus Skuse.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence.PLoS neglected tropical diseases · 2021Pooled it
- How reliable is the use of ovarian dilatations for mosquito age-grading? A blinded multi-rater validation of the Polovodova method in Anopheles mosquitoes.Journal of medical entomology · 2026Article
- First report using near-infrared spectroscopy to age-grade Phlebotomus papatasi [Scopoli, 1786] sand flies.Scientific reports · 2025Article
- Towards scalable age-grading of Aedes albopictus mosquito using mid-infrared spectroscopy and machine learning.Scientific reports · 2025Article
- Article
- Pixel intensity of wing photos used to infer efficacy of mosquito control interventions against Anopheles gambiae caught during the RIMDAMAL II clinical trial.Scientific reports · 2025Article
- Age structure of cohorts of mosquitoes from the field using shortwave infrared spectroscopy before and after ULV adulticide treatment.Parasites & vectors · 2025Article
- Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus.Parasites & vectors · 2024Article
- Age, sex, and mating status discrimination in the sand fly Lutzomyia longipalpis using near infra-red spectroscopy (NIRS).Parasites & vectors · 2024Article
- Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning.PloS one · 2024Article
- Accurate age-grading of field-aged mosquitoes reared under ambient conditions using surface-enhanced Raman spectroscopy and artificial neural networks.Journal of medical entomology · 2023Article
- Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra.BMC bioinformatics · 2023Article
- First Report of the Detection of DENV1 in Human Blood Plasma with Near-Infrared Spectroscopy.Viruses · 2022Article
- Autofluorescent Biomolecules in Diptera: From Structure to Metabolism and Behavior.Molecules (Basel, Switzerland) · 2022Review
- Article
- Quantitative age grading of mosquitoes using surface-enhanced Raman spectroscopy.Analytical science advances · 2022Article
- Article
- Field Application of NIR Spectroscopy for the Discrimination of theFrontiers in public health · 2021Article
- Ability of near-infrared spectroscopy and chemometrics to predict the age of mosquitoes reared under different conditions.Parasites & vectors · 2020Article
- Detection of malaria parasites in dried human blood spots using mid-infrared spectroscopy and logistic regression analysis.Malaria journal · 2019Article
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4 authors.
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Abstract
To date, no methodology has been described for predicting the age of Aedes albopictus Skuse mosquitoes, commonly known as Asian tiger mosquitoes. In this study, we report the potential of near-infrared spectroscopy (NIRS) technique for characterizing the age of female laboratory reared Ae. albopictus. Using leave-one-out cross-validation analysis on a training set, laboratory reared mosquitoes preserved in RNAlater for up to a month were assessed at 1, 3, 7, 9, 13, 16, 20 and 25 days post emergence. Mosquitoes (N = 322) were differentiated into two age classes (< or ≥ 7 days) with 93% accuracy, into three age classes (<7, 7-13 and >13 days old) with 76% accuracy, and on a continuous age scale to within ±3 days of their actual average age. Similarly, models predicted mosquitoes (N = 146) excluded from the training model with 94% and 71% accuracy to the two and the three age groups, respectively. We show for the first time that NIRS, with an improved spectrometer and fibre configuration, can be used to predict the age of laboratory reared female Ae. albopictus. Characterization of the age of Ae. albopictus populations is crucial for determining the efficacy of vector control interventions that target their survival.
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