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

Published Online: 2019-05-30

Published Print: 2019-12

Authors

Mwanga, Emmanuel P. http://orcid.org/0000-0003-1799-3830
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.
Funding

Funding for this research was provided by:

Wellcome Trust (WT102350/Z/13/Z)

Howard Hughes Medical Institute (Grant No. OPP1099295)

Medical Research Council (MR/P025501/1)
License Information

Text and Data Mining valid from 2019-05-30

Version of Record valid from 2019-05-30
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Article History

Received: 27 March 2019

Accepted: 25 May 2019

First Online: 30 May 2019

Ethics approval and consent to participate

: Ethical approval for the study was obtained from Ifakara Health Institute Institutional Review Board (Ref. IHI/IRB/EXT/No: 005-2018), and from the Medical Research Coordinating Committee (MRCC) at the National Institutes of Medical Research (NIMR), Ref: NIMR/HQ/R.8c/Vol.II/880.

: Permission to publish the work was also obtained from NIMR (NIMR/HQ/P.12 VOL XXVI/77).

: The authors declare that they have no competing interests.

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