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

Nwankwo Wilson Nnamdi; Chinecherem Umezuruike

doi:doi:10.11648/j.cbb.20180601.11

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

Nwankwo Wilson Nnamdi, Chinecherem Umezuruike

Published in Computational Biology and Bioinformatics (Volume 6, Issue 1)

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), 2024. Published by Science Publishing Group

Keywords

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

References

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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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TY  - JOUR
T1  - An Object-Based Analysis of an Informatics Model for Zika Virus Detection in Adults
AU  - Nwankwo Wilson Nnamdi
AU  - Chinecherem Umezuruike
Y1  - 2018/03/27
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N1  - https://doi.org/10.11648/j.cbb.20180601.11
DO  - 10.11648/j.cbb.20180601.11
T2  - Computational Biology and Bioinformatics
JF  - Computational Biology and Bioinformatics
JO  - Computational Biology and Bioinformatics
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PB  - Science Publishing Group
SN  - 2330-8281
UR  - https://doi.org/10.11648/j.cbb.20180601.11
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
IS  - 1
ER  -

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Author Information

Nwankwo Wilson Nnamdi

College of Natural and Applied Sciences, Wellspring University, Benin City, Nigeria
Chinecherem Umezuruike

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

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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

Copy | Download

@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}
}

Copy | Download

TY  - JOUR
T1  - An Object-Based Analysis of an Informatics Model for Zika Virus Detection in Adults
AU  - Nwankwo Wilson Nnamdi
AU  - Chinecherem Umezuruike
Y1  - 2018/03/27
PY  - 2018
N1  - https://doi.org/10.11648/j.cbb.20180601.11
DO  - 10.11648/j.cbb.20180601.11
T2  - Computational Biology and Bioinformatics
JF  - Computational Biology and Bioinformatics
JO  - Computational Biology and Bioinformatics
SP  - 1
EP  - 20
PB  - Science Publishing Group
SN  - 2330-8281
UR  - https://doi.org/10.11648/j.cbb.20180601.11
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
IS  - 1
ER  -

Copy | Download