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Mobile support for diagnosis of communicable diseases in remote locations

Authors:

Bill RogersAuthors Info & Claims

CHINZ '12: Proceedings of the 13th International Conference of the NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction

Pages 25 - 28

https://doi.org/10.1145/2379256.2379261

Published: 02 July 2012 Publication History

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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.

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Cited By

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Choubey DRaj SAman ADeoli RHanselia R(2023)Detection of Malaria by Using a CNN ModelMachine Intelligence Techniques for Data Analysis and Signal Processing10.1007/978-981-99-0085-5_57(707-718)Online publication date: 31-May-2023
https://doi.org/10.1007/978-981-99-0085-5_57
Luz SMasoodian M(2022)Exploring Environmental and Geographical Factors Influencing the Spread of Infectious Diseases with Interactive MapsSustainability10.3390/su1416999014:16(9990)Online publication date: 12-Aug-2022
https://doi.org/10.3390/su14169990
Leite GAlbuquerque APinheiro P(2021)Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph18201076518:20(10765)Online publication date: 14-Oct-2021
https://doi.org/10.3390/ijerph182010765
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Index Terms

Mobile support for diagnosis of communicable diseases in remote locations
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces

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Published In

CHINZ '12: Proceedings of the 13th International Conference of the NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction

July 2012

110 pages

ISBN:9781450314749

DOI:10.1145/2379256

Conference Chair:
Holger Regenbrecht
University of Otago
,
Program Chairs:
Christof Lutteroth,
Mark McGuire

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 July 2012

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Science Foundation Ireland

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CHINZ '12

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CHINZ '12: 13th Annual Conference of the NZ ACM Special Interest Group on Human-Computer Interaction

July 2 - 3, 2012

Dunedin, New Zealand

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Overall Acceptance Rate 8 of 23 submissions, 35%

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Cited By

View all

Choubey DRaj SAman ADeoli RHanselia R(2023)Detection of Malaria by Using a CNN ModelMachine Intelligence Techniques for Data Analysis and Signal Processing10.1007/978-981-99-0085-5_57(707-718)Online publication date: 31-May-2023
https://doi.org/10.1007/978-981-99-0085-5_57
Luz SMasoodian M(2022)Exploring Environmental and Geographical Factors Influencing the Spread of Infectious Diseases with Interactive MapsSustainability10.3390/su1416999014:16(9990)Online publication date: 12-Aug-2022
https://doi.org/10.3390/su14169990
Leite GAlbuquerque APinheiro P(2021)Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph18201076518:20(10765)Online publication date: 14-Oct-2021
https://doi.org/10.3390/ijerph182010765
Pham TLiu QYu C(2021)Enhancing Pulse Measurement with IoT Technologies for TCM2021 IEEE MIT Undergraduate Research Technology Conference (URTC)10.1109/URTC54388.2021.9701646(1-5)Online publication date: 8-Oct-2021
https://doi.org/10.1109/URTC54388.2021.9701646
Pham TLiu QYu C(2020)System Design for Remote Pulse Examination2020 IEEE MIT Undergraduate Research Technology Conference (URTC)10.1109/URTC51696.2020.9668893(1-5)Online publication date: 9-Oct-2020
https://doi.org/10.1109/URTC51696.2020.9668893
Yang FYu HSilamut KMaude RJaeger SAntani S(2019)Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN on Smartphones2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)10.1109/AIPR47015.2019.9174565(1-4)Online publication date: Oct-2019
https://doi.org/10.1109/AIPR47015.2019.9174565
Yang FYu HSilamut KMaude RJaeger SAntani S(2019)Smartphone-Supported Malaria Diagnosis Based on Deep LearningMachine Learning in Medical Imaging10.1007/978-3-030-32692-0_9(73-80)Online publication date: 10-Oct-2019
https://doi.org/10.1007/978-3-030-32692-0_9
Ouedraogo BGaudart JDufour J(2017)How does the cellular phone help in epidemiological surveillance? A review of the scientific literatureInformatics for Health and Social Care10.1080/17538157.2017.135400044:1(12-30)Online publication date: 22-Aug-2017
https://doi.org/10.1080/17538157.2017.1354000
DAS DMUKHERJEE RCHAKRABORTY C(2015)Computational microscopic imaging for malaria parasite detection: a systematic reviewJournal of Microscopy10.1111/jmi.12270260:1(1-19)Online publication date: 5-Jun-2015
https://doi.org/10.1111/jmi.12270
Masoodian MLuz SCesario MCesario RRogers BBorges D(2015)A Serious Game for Improving Community-Based Prevention of Neglected DiseasesProceedings of the 2015 IEEE 28th International Symposium on Computer-Based Medical Systems10.1109/CBMS.2015.17(286-291)Online publication date: 22-Jun-2015
https://dl.acm.org/doi/10.1109/CBMS.2015.17
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