30 minute service activity: Malaria Spot

Malaria Spot is a program that aims to alleviate the present problems in identifying all malaria infections owing to a global shortage of the number of doctors in the universe through community engagement. The aim is to transform the diagnosis procedure into video gaming and look into approaches for combining participant scores to get a valid result. In 2012, Malaria Spot conducted the first study. In 2014, the concept was extended to Tb using the videogame Tuber Spot. And currently, there is the introduction of Malaria Spot Bubbles to distinguish between various parasites varieties.

Malaria is among the world’s most severe medical problems. Presently, the conventional method for diagnosing the illness (which kills many people per year and affects thousands of people) is to check the percentage of organisms in blood specimens utilizing a microscope. This procedure can require up to half an hour. Furthermore, there aren’t sufficient experts worldwide to identify every instance of malaria (Miguel et al., 2012). Through this activity of malaria spot, which is a citizen-led program, aims to address this issue. The diagnosis approach has been transformed into a video game, and explore the approaches for combining participant outcomes to produce an accurate conclusion. Malaria Spot activities enable participants to understand and engage in the internet development of new methods for collaborative diagnostics (Miguel et al., 2012). Malaria is identified by checking for parasites in a blood sample under a microscope. The identification of which of the organisms that produce malaria is detectable in the blood, which is part of the diagnosis procedure. This is extremely vital to offer adequate therapy to patients.  The goal of Malaria Spot Bubbles is to see if remote diagnostics can be done collaboratively by non-specialists, extending on a notion that began a few years ago with the initial edition of the videogame Malaria Spot.

References

Miguel Angel Luengo-Oroz, John Frean, & Asier Arranz. (2012, November 1). (PDF) Crowdsourcing malaria parasite quantification: An online game for analyzing images of infected thick blood smears. ResearchGate. https://www.researchgate.net/publication/233804789_Crowdsourcing_Malaria_Parasite_Quantification_An_Online_Game_for_Analyzing_Images_of_Infected_Thick_Blood_Smears


Posted

in

by

Tags:

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *