| Conference Paper |
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| Title |
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A Light-weight Solution for Real-Time Dengue Detection using Mobile Phones
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| Abstract |
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Dengue is a disease transmitted mostly from mosquito bites.
Viral outbreaks have spread vastly across the world, however mostly
found in warm climate areas. Innovative solutions have been developed
to combat outbreaks. In developing countries, dengue detection kits are
not affordable or always accessible. Thus traditional approaches are
still used that are slow to diagnose and treat in time. We present a
dengue detection solution that uses vision sensors in cellular phones, a
lightweight object identification algorithm, and a novel paper based
patch currently being manufactured by researchers at the Harvard
School of Medicine and the Dengue Relief Foundation. Our dengue
detection algorithm rapidly and economically diagnose dengue and
leverage the power of mobile phones to transmit results to the Center
for Disease Control (CDC) for further analysis. This novel approach is
cost effective and can improve the quality of life in developing
countries by accurately detecting dengue and providing data to the CDC
for monitoring of dengue epidemics.
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| Download |
Paper: PDF file of paper
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| Information & Date |
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MobiCase 2009, San Diego, CA, October. 2009
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| Authors |
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Jerrid Matthews
Rajan Kulkarni
George Whitesides
Majid Sarrafzadeh
Mario Gerla
Tammara Massey
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