Mobile support for diagnosis of communicable diseases in remote locations

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

11 Citations (Scopus)

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 publicationCHINZ 2012 - Proceedings of the 13th International Conference of the NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction (SIGCHI-NZ)
Pages25-28
Number of pages4
DOIs
Publication statusPublished - 2012
MoE publication typeA4 Article in a conference publication
EventInternational Conference of the New Zealand Chapter's of the ACM Special Interest Group on Human-Computer Interaction - Dunedin, New Zealand
Duration: 2 Jul 20123 Jul 2012
Conference number: 13

Publication series

NameACM International Conference Proceeding Series

Conference

ConferenceInternational Conference of the New Zealand Chapter's of the ACM Special Interest Group on Human-Computer Interaction
Abbreviated titleCHINZ
CountryNew Zealand
CityDunedin
Period02/07/201203/07/2012

Keywords

  • Communicable diseases
  • Image analysis
  • Mobile disease diagnosis
  • Mobile disease surveillance
  • Mobile healthcare
  • Neglected tropical diseases

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