Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis. (2019)
Attributed to:
Development of a new tool for malaria mosquito surveillance to improve vector control
funded by
GCRF
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1186/s12936-019-2822-y
PubMed Identifier: 31146762
Publication URI: http://europepmc.org/abstract/MED/31146762
Type: Journal Article/Review
Volume: 18
Parent Publication: Malaria journal
Issue: 1
ISSN: 1475-2875