Health Informatics System for Screening Arboviral Infections in Adults

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Author(s)

Chinecherem Umezuruike 1,* Wilson Nwankwo 2 Samuel O. Okolie 3 Adewale O. Adebayo 3 Joshua V. Jonah 3 Habiba Ngugi 1

1. Kampala International University, Kampala, Uganda

2. Edo University Iyamho, Edo State, Nigeria

3. Babcock University Ilishan, Ogun State Nigeria

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2019.03.02

Received: 18 Dec. 2018 / Revised: 11 Jan. 2019 / Accepted: 20 Jan. 2019 / Published: 8 Mar. 2019

Index Terms

Arboviruses, Clinical Differential Diagnostic System, Dengue fever, Health Informatics, Zika Virus

Abstract

Health Informatics (HI) has played vital roles in the management of several diseases especially in the tropics. It has revolutionized the mainstream healthcare and healthcare delivery system. This paper applies the principle of Health Informatics to addressing the detection and management of arboviruses particularly Zika and Dengue viruses around which the aetiology of Zika Virus Disease and Dengue fever revolves. In this paper, the object-oriented approach was employed to study the fundamental procedures in the detection and management of arboviral infections. The study culminated into modelling of knowledge-based prototype system for screening patients in incidence areas. Existing knowledge on the management of arbovirus infections was complemented with purposive sampling of two specialist infectious diseases facilities in Nigeria. The health informatics prototype is christened NCliniSoft Diagnostic ZikaSol and is composed of five components validated through expert-driven differential diagnostic procedures. The prototype was evaluated to test for usability, diagnostic consistency, user acceptance and satisfaction. The prototype performs a differential screening between Dengue fever and Zika Virus disease using the Bayesian probabilities complemented by situational constructs. The result of each screening process is an automated diagnostic report that shows the status of the patient. Computed result showed high level of efficiency and acceptability.

Cite This Paper

Chinecherem Umezuruike, Wilson Nwankwo, Samuel O. Okolie, Adewale O. Adebayo, Joshua V. Jonah, Habiba Ngugi, "Health Informatics System for Screening Arboviral Infections in Adults", International Journal of Information Technology and Computer Science(IJITCS), Vol.11, No.3, pp.10-22, 2019. DOI:10.5815/ijitcs.2019.03.02

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