Rapid and non-destructive identification of Anopheles gambiae and Anopheles arabiensis mosquito species using Raman spectroscopy via machine learning classification models

BACKGROUND: Identification of malaria vectors is an important exercise that can result in the deployment of targeted control measures and monitoring the susceptibility of the vectors to control strategies. Although known to possess distinct biting behaviours and habitats, the African malaria vectors...

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Detalles Bibliográficos
Autores principales: Omucheni, Dickson L., Kaduki, Kenneth A., Mukabana, Wolfgang R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634188/
https://www.ncbi.nlm.nih.gov/pubmed/37940964
http://dx.doi.org/10.1186/s12936-023-04777-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634188/
https://www.ncbi.nlm.nih.gov/pubmed/37940964
http://dx.doi.org/10.1186/s12936-023-04777-y

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