An object-based analysis of an informatics model for Zika virus detection in adults
dc.contributor.author | Nwankwo, Wilson Nnamdi | |
dc.contributor.author | Chinecherem, Umezuruike | |
dc.date.accessioned | 2018-12-19T09:11:43Z | |
dc.date.available | 2018-12-19T09:11:43Z | |
dc.date.issued | 2018-03 | |
dc.description | A full text is available | en_US |
dc.description.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. | en_US |
dc.identifier.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 | en_US |
dc.identifier.issn | ISSN: 2330-8265 (Print); ISSN: 2330-8281 (Online) | |
dc.identifier.uri | http://hdl.handle.net/20.500.12306/1473 | |
dc.language.iso | en | en_US |
dc.publisher | Science Publishing Group | en_US |
dc.relation.ispartofseries | Computational Biology and Bioinformatics 2018;6(1): 1-20; | |
dc.subject | Zika Virus | en_US |
dc.subject | Dengue Virus | en_US |
dc.subject | Automated Diagnosis | en_US |
dc.subject | Informatics | en_US |
dc.subject | Informatics Model | en_US |
dc.title | An object-based analysis of an informatics model for Zika virus detection in adults | en_US |
dc.type | Article | en_US |