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Title: An object-based analysis of an informatics model for Zika virus detection in adults
Authors: Nwankwo, Wilson Nnamdi
Chinecherem, Umezuruike
Keywords: Zika Virus
Dengue Virus
Automated Diagnosis
Informatics Model
Issue Date: Mar-2018
Publisher: Science Publishing Group
Citation: 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
Series/Report no.: Computational Biology and Bioinformatics 2018;6(1): 1-20;
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.
Description: A full text is available
ISSN: ISSN: 2330-8265 (Print); ISSN: 2330-8281 (Online)
Appears in Collections:Computing and Information Technology

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