Eamonn Keogh from University of California, Riverside in the U.S. will design and test a human computational game for individuals in developing countries to encourage positive behavior such as taking medication or attending school. The game is played on mobile phones, and begins with an automatic prompt to perform a specific healthy behavior, which then requires the individual to respond by sending photographic evidence of the behavior to a randomly selected individual for evaluation, with rewards offered for compliance. They will develop the game, write the necessary open source software, and conduct a case study in the developed world to evaluate and refine the approach.

Prasenjit Mondal of the International Centre for Diarrhoeal Disease Research in Bangladesh will test whether supplying deworming medication to women of reproductive age reduces the incidence of helminth infections and associated anemia. Current mass drug administration efforts to eradicate parasitic infections are fairly successful but focus predominantly on school children. The incidence of infection in women of fertility age remains high, which affects both maternal and child health. To reach this vulnerable population, they will exploit the infrastructure of a current government program, which provides folic acid tablets to pregnant women via Community Clinics, by also providing deworming medication and associated counseling. They will evaluate their approach by measuring its effect on helminth infection levels.

Stephen Chou of Princeton University in the U.S. will further develop a simple and inexpensive assay for diagnosing fetal brain injury using smartphones to detect biomarkers from a drop of blood that can be used by untrained individuals. Biomarkers of brain function have been identified, but technological limitations mean their detection requires expensive assays and trained professionals. They have developed special nanostructures known as D2PA (disk-coupled dots-on-pillar antenna- array) to enhance the fluorescence emitted on a small assay plate by over one million fold thereby substantially increasing sensitivity. The plate can then be photographed with a smartphone and the result sent to a doctor. They will develop and test the assay for accurately and rapidly detecting several biomarkers in single drops of blood.

Beth Smith from the University of Southern California in the U.S. will determine whether monitoring the arm movements of infants can be used to as a non-invasive proxy for neural development to help identify defects and aid treatment. They will perform a longitudinal study of 45 children, including preterm infants, who will be assessed monthly from one to six months of age. Motion sensory equipment will measure the type and quality of their arm movements, which will be correlated with cortical brain activity measured via electroencephalography (EEG). These data will then be used to generate standard curves of brain function based on movement that may be able to identify children with impaired neural development.