ArticleWellcome open research2019
Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning.
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Article in Wellcome open research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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39citing papers in PubMed, 1 pooled it
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Who cites it
39 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
- Age-grading and species identification of male mosquito Anopheles gambiae s.l. using mid-infrared spectroscopy and machine learning.Scientific reports · 2026Article
- Towards scalable age-grading of Aedes albopictus mosquito using mid-infrared spectroscopy and machine learning.Scientific reports · 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
- 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
- A methodological approach to age estimation of the intra-puparial period of the forensically relevant blow fly Calliphora vicina via Fourier transform infrared spectroscopy.Medical and veterinary entomology · 2025Article
- Estimation of population age structure, daily survival rates, and potential to support dengue virus transmission for Florida Keys Aedes aegypti via transcriptional profiling.PLoS neglected tropical diseases · 2024Article
- Screening of malaria infections in human blood samples with varying parasite densities and anaemic conditions using AI-Powered mid-infrared spectroscopy.Malaria journal · 2024Article
- Reagent-free detection of Plasmodium falciparum malaria infections in field-collected mosquitoes using mid-infrared spectroscopy and machine learning.Scientific reports · 2024Article
- Predicting the age of fieldScience advances · 2024Article
- Rapid assessment of the blood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spectroscopy and machine learning.Malaria journal · 2024Article
- Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus.Parasites & vectors · 2024Article
- Advancing age grading techniques forBiology methods & protocols · 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
- Rapid and non-destructive identification of Anopheles gambiae and Anopheles arabiensis mosquito species using Raman spectroscopy via machine learning classification models.Malaria journal · 2023Article
- Evaluation of diffuse reflectance spectroscopy for predicting age, species, and cuticular resistance of Anopheles gambiae s.l under laboratory conditions.Scientific reports · 2023Article
- 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
Corrections and comments
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Authors and funding
16 authors.
Mario González Jiménez *School of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.ORCID https://orcid.org/0000-0002-8853-0588
Simon A Babayan *Institute of Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK.
Pegah KhazaeliSchool of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.
Margaret DoyleInstitute of Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK.
Finlay WaltonSchool of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.ORCID https://orcid.org/0000-0002-4739-1649
Elliott ReedySchool of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.ORCID https://orcid.org/0000-0001-7116-3809
Thomas GlewSchool of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.
Mafalda VianaInstitute of Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK.ORCID https://orcid.org/0000-0001-5975-6505
Lisa Ranford-CartwrightInstitute of Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK.ORCID https://orcid.org/0000-0003-1992-3940
Abdoulaye NiangDepartment of Medical Biology and Public Health, Institut de Recherche en Science de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso.
Doreen J SiriaEnvironmental Health & Ecological Sciences Department, Ifakara Health Institute, Off Mlabani Passage, PO Box 53, Ifakara, Tanzania.
Fredros O OkumuInstitute of Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK.ORCID https://orcid.org/0000-0003-2731-5654
Abdoulaye DiabatéDepartment of Medical Biology and Public Health, Institut de Recherche en Science de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso.
Heather M FergusonInstitute of Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK.ORCID https://orcid.org/0000-0002-9625-5176
Francesco BaldiniInstitute of Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK.ORCID https://orcid.org/0000-0002-5904-4070
Klaas WynneSchool of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.ORCID https://orcid.org/0000-0002-5305-5940
Funding
Medical Research Council MR/N015320/1Medical Research Council MR/P025501/1Wellcome Trust
Abstract
Despite the global efforts made in the fight against malaria, the disease is resurging. One of the main causes is the resistance that
Indexed as
Anopheles arabiensisAnopheles gambiaeMachine learningMalariaMid-infrared spectroscopyVector control
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.