Collaborative intelligence and gamification for on-line malaria species differentiation.

ABSTRACT:

Background

Current World Health Organization recommendations for the management of malaria include the need for a parasitological confirmation prior to triggering appropriate treatment. The use of rapid diagnostic tests (RDTs) for malaria has contributed to a better infection recognition and a more targeted treatment. Nevertheless, low-density infections and parasites that fail to produce HRP2 can cause false-negative RDT results. Microscopy has traditionally been the methodology most commonly used to quantify malaria and characterize the infecting species, but the wider use of this technique remains challenging, as it requires trained personnel and processing capacity.

Objective

In this study, the feasibility of an on-line system for remote malaria species identification an

SUBMITTER: Linares M 

PROVIDER: S-EPMC6345056 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature