This tool to diagnose malaria uses light sensors and non-invasive methods. Developed by Ugandan startup Matibabu, the mobile app performs a 60 second test that sends results directly to the user's doctor. This system also allows all the patient's malaria-related health information to be in one convenient place.
Access to health care is a barrier to developing communities affected by poverty, making local solutions all the more important. The app will not just diagnose malaria, but also send the phone's GPS coordinates, making infection locations easier to pin point. It also offers educational information on preventing the disease and emits a sound-based mosquito repellent. Given that early detection is the key to containment, this light test could save thousands of sub-Saharan lives, especially those of children.
Light-Sensing Malaria Tests
Ugandan Startup Matibabu Can Quickly Diagnose Malaria With Light
Trend Themes
1. Light-sensing Malaria Tests - Using light sensors and non-invasive methods, this trend offers an opportunity for disruptive innovation in the field of malaria diagnosis and prevention.
2. Mobile Diagnosis and Healthcare - This trend of using mobile apps for diagnosis and healthcare provides an opportunity for disruptive innovation in improving access to healthcare in impoverished communities.
3. Integrated Health Information Systems - The trend of integrating health information into one convenient place presents an opportunity for disruptive innovation in managing and tracking malaria-related health information.
Industry Implications
1. Healthcare Technology - The healthcare technology industry can leverage this trend to develop innovative solutions for diagnosing and preventing malaria.
2. Mobile App Development - The mobile app development industry can tap into this trend to create innovative apps for diagnosing and managing various health conditions.
3. Data Analytics and Health Informatics - The data analytics and health informatics industry can utilize this trend to develop innovative systems for managing and analyzing malaria-related health information.