ArticleParasites & vectors2010
Near-infrared spectroscopy as a complementary age grading and species identification tool for African malaria vectors.
Article in Parasites & vectors, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.
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Who cites it
69 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
- Horizons of the Future: Preparedness and Response.Current topics in microbiology and immunology · 2026Review
- 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
- Deadliest Animals with the Thinnest Wings: Near-Infrared Properties of Tropical Mosquitoes.Applied spectroscopy · 2025Article
- 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
- Exploring near-infrared spectroscopy ability to predict the age and species of Anopheles gambiae sensu lato mosquitoes from different environmental conditions in Burkina Faso.Malaria journal · 2025Article
- Age structure of cohorts of mosquitoes from the field using shortwave infrared spectroscopy before and after ULV adulticide treatment.Parasites & vectors · 2025Article
- Determining mosquito age using surface-enhanced Raman spectroscopy and artificial neural networks: insights into the influence of origin and sex.Parasites & vectors · 2025Article
- Rapid evaporative ionisation mass spectrometry can age field caught Anopheles gambiae malaria vectors.Scientific reports · 2025Article
- Age structure and parity status determination of Afrotropical malaria vectors using MALDI-TOF MS.Scientific reports · 2025Article
- Near-infrared spectroscopy discriminates mass-reared sterile and wild tsetse flies.PLoS neglected tropical diseases · 2025Article
- Predicting the age of fieldScience advances · 2024Article
- 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
- Key considerations, target product profiles, and research gaps in the application of infrared spectroscopy and artificial intelligence for malaria surveillance and diagnosis.Malaria journal · 2023Review
- Near-infrared spectroscopy and machine learning algorithms for rapid and non-invasive detection of Trichuris.PLoS neglected tropical diseases · 2023Article
- Evaluation of diffuse reflectance spectroscopy for predicting age, species, and cuticular resistance of Anopheles gambiae s.l under laboratory conditions.Scientific reports · 2023Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Near-infrared spectroscopy (NIRS) was recently applied to age-grade and differentiate laboratory reared Anopheles gambiae sensu strico and Anopheles arabiensis sibling species of Anopheles gambiae sensu lato complex. In this study, we report further on the accuracy of this tool for simultaneously estimating the age class and differentiating the morphologically indistinguishable An. gambiae s.s. and An. arabiensis from semi-field releases and wild populations. Nine different ages (1, 3, 5, 7, 9, 11, 12, 14, 16 d) of An. arabiensis and eight different ages (1, 3, 5, 7, 9, 10, 11, 12 d) of An. gambiae s.s. maintained in 250 x 60 x 40 cm cages within a semi-field large-cage system and 105 wild-caught female An. gambiae s.l., were included in this study. NIRS classified female An. arabiensis and An. gambiae s.s. maintained in semi-field cages as <7 d old or >/=7 d old with 89% (n = 377) and 78% (n = 327) accuracy, respectively, and differentiated them with 89% (n = 704) accuracy. Wild caught An. gambiae s.l. were identified with 90% accuracy (n = 105) whereas their predicted ages were consistent with the expected mean chronological ages of the physiological age categories determined by dissections. These findings have importance for monitoring control programmes where reduction in the proportion of older mosquitoes that have the ability to transmit malaria is an important outcome.
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