Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis-Reference-Cited by-同舟云学术

Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis

Published:2019-05-30 Issue:1 Volume:18 Page:
ISSN:1475-2875
Container-title:Malaria Journal
language:en
Short-container-title:Malar J

Author:

Mwanga Emmanuel P.^ORCID,Mapua Salum A.,Siria Doreen J.,Ngowo Halfan S.,Nangacha Francis,Mgando Joseph,Baldini Francesco,González Jiménez Mario,Ferguson Heather M.,Wynne Klaas,Selvaraj Prashanth,Babayan Simon A.,Okumu Fredros O.

Funder

Wellcome Trust

Howard Hughes Medical Institute

Medical Research Council

Publisher

Springer Science and Business Media LLC

Subject

Infectious Diseases,Parasitology

Link

http://link.springer.com/content/pdf/10.1186/s12936-019-2822-y.pdf

Reference49 articles.

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2. WHO. Malaria surveillance, monitoring & evaluation: a reference manual. Geneva: World Health Organization; 2018. http://www.who.int/malaria/publications/atoz/9789241565578/en/ . Accessed 25 Mar 2019.

3. MacDonald G. Epidemiological basis of malaria control. Bull World Health Organ. 1956;15:613–26.

4. Tirados I, Costantini C, Gibson G, Torr SJ. Blood feeding behaviour of the malarial mosquito Anopheles arabiensis: implications for vector control. Med Vet Entomol. 2006;20:425–37.

5. Takken W, Verhulst NO. Host preferences of blood-feeding mosquitoes. Annu Rev Entomol. 2013;58:433–53.

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