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An Object-Based Analysis of an Informatics Model for Zika Virus Detection in Adults

Received: 19 February 2018     Accepted: 7 March 2018     Published: 27 March 2018
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Abstract

Zika virus infection is a disease that may be misdiagnosed due to the semblance it shares with other arboviral diseases such as dengue, yellow fever, and Chikungunya. Till date it has been difficult to model a computerized solution for its detection owing to the foregoing characteristics. This paper is aimed at studying the prevalence and incidence of the virus in a bid to analyze and create an informatics model for its detection, diagnosis and management. To achieve its objective, the object-based analysis was employed. Data collection involved a descriptive synthesis of the laid down diagnostic procedures by the world health organization (WHO) and the orthodox medical practices in Nigeria. The result of the analysis generated specifications including a component model and analysis use cases that would be used to implement the developed model in the second part of this paper.

Published in Computational Biology and Bioinformatics (Volume 6, Issue 1)
DOI 10.11648/j.cbb.20180601.11
Page(s) 1-20
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Zika Virus, Dengue Virus, Automated Diagnosis, Informatics, Informatics Model

References
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Cite This Article
  • APA Style

    Nwankwo Wilson Nnamdi, Chinecherem Umezuruike. (2018). An Object-Based Analysis of an Informatics Model for Zika Virus Detection in Adults. Computational Biology and Bioinformatics, 6(1), 1-20. https://doi.org/10.11648/j.cbb.20180601.11

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    ACS Style

    Nwankwo Wilson Nnamdi; Chinecherem Umezuruike. An Object-Based Analysis of an Informatics Model for Zika Virus Detection in Adults. Comput. Biol. Bioinform. 2018, 6(1), 1-20. doi: 10.11648/j.cbb.20180601.11

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    AMA Style

    Nwankwo Wilson Nnamdi, Chinecherem Umezuruike. An Object-Based Analysis of an Informatics Model for Zika Virus Detection in Adults. Comput Biol Bioinform. 2018;6(1):1-20. doi: 10.11648/j.cbb.20180601.11

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  • @article{10.11648/j.cbb.20180601.11,
      author = {Nwankwo Wilson Nnamdi and Chinecherem Umezuruike},
      title = {An Object-Based Analysis of an Informatics Model for Zika Virus Detection in Adults},
      journal = {Computational Biology and Bioinformatics},
      volume = {6},
      number = {1},
      pages = {1-20},
      doi = {10.11648/j.cbb.20180601.11},
      url = {https://doi.org/10.11648/j.cbb.20180601.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cbb.20180601.11},
      abstract = {Zika virus infection is a disease that may be misdiagnosed due to the semblance it shares with other arboviral diseases such as dengue, yellow fever, and Chikungunya. Till date it has been difficult to model a computerized solution for its detection owing to the foregoing characteristics. This paper is aimed at studying the prevalence and incidence of the virus in a bid to analyze and create an informatics model for its detection, diagnosis and management. To achieve its objective, the object-based analysis was employed. Data collection involved a descriptive synthesis of the laid down diagnostic procedures by the world health organization (WHO) and the orthodox medical practices in Nigeria. The result of the analysis generated specifications including a component model and analysis use cases that would be used to implement the developed model in the second part of this paper.},
     year = {2018}
    }
    

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    AB  - Zika virus infection is a disease that may be misdiagnosed due to the semblance it shares with other arboviral diseases such as dengue, yellow fever, and Chikungunya. Till date it has been difficult to model a computerized solution for its detection owing to the foregoing characteristics. This paper is aimed at studying the prevalence and incidence of the virus in a bid to analyze and create an informatics model for its detection, diagnosis and management. To achieve its objective, the object-based analysis was employed. Data collection involved a descriptive synthesis of the laid down diagnostic procedures by the world health organization (WHO) and the orthodox medical practices in Nigeria. The result of the analysis generated specifications including a component model and analysis use cases that would be used to implement the developed model in the second part of this paper.
    VL  - 6
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Author Information
  • College of Natural and Applied Sciences, Wellspring University, Benin City, Nigeria

  • School of Computing and Information Technology, Kampala International University, Kampala, Uganda

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