Rapid dengue and outbreak detection with mobile systems and social networks

Jerrid Matthews, Rajan Kulkarni, Mario Gerla, Tammara Massey

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Dengue is a disease transmitted primarily through mosquito bites. Innovative solutions have been developed to combat outbreaks. However, in developing countries these dengue detection solutions are often not affordable and easily accessible. Additionally, these traditional approaches are slow to diagnose and treat dengue. We present a dengue detection solution that uses vision sensors in cellular phones, a lightweight object identification algorithm, and a web server that provides spatial information to healthcare providers. Our systems leverages a novel paper based technology developed by researchers at the Harvard University Department of Chemistry (Martinez et al. Angew Chem Int Ed 46:1318-1320, 2007). Our dengue detection algorithm rapidly diagnoses dengue, transmits the results to the Center for Disease Control (CDC) for further analysis, and presents healthcare providers with spatial information on outbreaks. This novel approach can improve the quality of life in developing countries by accurately and economically detecting dengue and providing data to the CDC for monitoring of dengue epidemics.

Original languageEnglish (US)
Pages (from-to)178-191
Number of pages14
JournalMobile Networks and Applications
Volume17
Issue number2
DOIs
StatePublished - Apr 2012
Externally publishedYes

Keywords

  • Dengue detection
  • Light-weight image processing
  • Medical informatics
  • Mobile systems
  • Sensor enabled embedded systems
  • Social networking
  • Translational medicine

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications

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