Mobile support for diagnosis of communicable diseases in remote locations

Manuel Cesario, Michael Lundon, Saturnino Luz, Masood Masoodian, Bill Rogers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Surveillance and diagnosis of new and emerging communicable diseases in remote regions, such as the Amazon, is a challenging task. These regions can be difficult to reach, are sparsely populated, and have limited medical and ICT infrastructure. Medical practitioners and community health agents who work in such regions often have very basic qualifications, and therefore have limited knowledge of new and emerging diseases. The increasing capabilities of mobile devices, such as tablets and smart phones, have made them a useful platform for delivery of medical services in remote locations. In this paper we introduce a system that could potentially support diagnosis of vector-borne diseases such as Bartonellosis and Leishmaniasis in areas where specialist healthcare is scarce. In particular, we focus on the image analysis and classification component of this system, which aims to reduce the chance of misdiagnosing these less common diseases as malaria.
Original languageEnglish
Title of host publicationProceedings of the 13th International Conference of the NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction
Place of PublicationNew York, NY, USA
PublisherACM
Pages25-28
Number of pages4
ISBN (Print)978-1-4503-1474-9
DOIs
Publication statusPublished - Jul 2012

Publication series

NameCHINZ '12
PublisherACM

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