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Data-driven malaria prevalence prediction in large densely populated urban holoendemic sub-Saharan West Africa. (2020)

First Author: Brown BJ

Attributed to: Tackling Malaria Diagnosis in sub-Saharan Africa with Fast, Accurate and Scalable Robotic Automation, Computer Vision and Machine Learning (FASt-Mal) funded by GCRF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1038/s41598-020-72575-6

PubMed Identifier: 32985514

Publication URI: http://europepmc.org/abstract/MED/32985514

Type: Journal Article/Review

Volume: 10

Parent Publication: Scientific reports

Issue: 1

ISSN: 2045-2322