An object-based analysis of an informatics model for Zika virus detection in adults

dc.contributor.authorNwankwo, Wilson Nnamdi
dc.contributor.authorChinecherem, Umezuruike
dc.date.accessioned2018-12-19T09:11:43Z
dc.date.available2018-12-19T09:11:43Z
dc.date.issued2018-03
dc.descriptionA full text is availableen_US
dc.description.abstractZika 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.citationNwankwo 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.20180601.11en_US
dc.identifier.issnISSN: 2330-8265 (Print); ISSN: 2330-8281 (Online)
dc.identifier.urihttp://hdl.handle.net/20.500.12306/1473
dc.language.isoenen_US
dc.publisherScience Publishing Groupen_US
dc.relation.ispartofseriesComputational Biology and Bioinformatics 2018;6(1): 1-20;
dc.subjectZika Virusen_US
dc.subjectDengue Virusen_US
dc.subjectAutomated Diagnosisen_US
dc.subjectInformaticsen_US
dc.subjectInformatics Modelen_US
dc.titleAn object-based analysis of an informatics model for Zika virus detection in adultsen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
WilsonChinecherem.pdf
Size:
1.12 MB
Format:
Adobe Portable Document Format
Description:
Full text
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: