Volume 6, Issue 1, June 2018, Page: 1-20
An Object-Based Analysis of an Informatics Model for Zika Virus Detection in Adults
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
Received: Feb. 19, 2018;       Accepted: Mar. 7, 2018;       Published: Mar. 27, 2018
DOI: 10.11648/j.cbb.20180601.11      View  1159      Downloads  78
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.
Zika Virus, Dengue Virus, Automated Diagnosis, Informatics, Informatics Model
To cite this article
Nwankwo Wilson Nnamdi, Chinecherem Umezuruike, An Object-Based Analysis of an Informatics Model for Zika Virus Detection in Adults, Computational Biology and Bioinformatics. Vol. 6, No. 1, 2018, pp. 1-20. doi: 10.11648/j.cbb.20180601.11
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This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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