MalariaSpot

Gratuit

2.4for iPhone, iPad and more

SpotLab SL

Developer

86 Mo

Size

Jun 6, 2018

Update Date

Entertainment

Category

Age Rating

App Store APKPure Site Web du développeur

Age Rating

Apps in this category do not contain restricted content.

Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

MalariaSpot Captures d'écran

iPad

iPhone

About MalariaSpot

Do you want to play hunting parasites in real blood samples? You only need one minute! MalariaSpot is a game developed by researchers who have gamified the process of diagnosing malaria. There are not enough specialists in the world to diagnose malaria... and you can help! We combine the results from several players to obtain an image analysis as reliable as the one made by a specialist.
While playing you will hunt for "Plasmodiums", the parasites responsible for malaria. The best you do it, the higher your score will be and the furthest you will advance in the game. Your goal? Find all the parasites in real blood samples from malaria patients.

You can find out more about the MalariaSpot Project at www.malariaspot.org

Thanks for helping us by playing! :)

*They have been kindly provided by Dr. John Frean from the National Institute for Communicable Diseases in Johannesburg (South Africa), and have been previously used to assess the possibility of using automated image processing systems to count the number of parasites in the research article "Reliable enumeration of malaria parasites in thick blood films using digital image analysis" (Malaria Journal 2009, 8:218).