Design and Implementation of Intelligent System for Detection and Analysis of Ebola Disease

Ebola virus disease is a hemorrhagic fever that has a near 100% fatality rate if not detected on time and properly managed. In an untiring effort to eradicate this pandemic, scientists have sought different measures for treating and caring for infected persons while also preventing further transmiss...

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Bibliographic Details
Published inJournal of computer science and control systems Vol. 14; no. 1; pp. 16 - 20
Main Authors Adekunle, Ibrahim Musibau, Selimot, Adekanye
Format Journal Article
LanguageEnglish
Published Oradea University of Oradea 01.05.2021
Subjects
BASIC (programming language)
Ebola virus
Epidemics
Expert systems
Families & family life
Fatalities
Fever
Health care
Infections
Infectious diseases
Knowledge
Laboratories
Laboratory tests
Language
Literature reviews
Patients
Programming languages
Public health
Skin
Teaching hospitals
Viral diseases
Visual Basic
Visual programming languages
Liberia
Sierra Leone
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Summary:Ebola virus disease is a hemorrhagic fever that has a near 100% fatality rate if not detected on time and properly managed. In an untiring effort to eradicate this pandemic, scientists have sought different measures for treating and caring for infected persons while also preventing further transmission of the disease. Hitherto, there still exist cases of transmission among humans especially patient-to-health care provider transmission. This project addresses the problem using visual programming language for diagnosing the disease. Requirement gathering exercise and specification was done through interviews with health care providers, site visit to Ebola treatment center and review of literature and Ebola registries. Expert system concepts with Visual Basic programming language were adopted in the development of the system. Reliable inferences were made regardless of the Ebola case scenario that was used in the testing of the expert system. The system showed that reduction in person-to-person transmission of Ebola virus disease can be achieved if probable suspects are identified and diagnosed on time using computer applications that eliminates physical contact with suspects or infected materials and fluids. For confirmed suspects, the system recommends laboratory test as a final proof of the infection.
ISSN:1844-6043
2067-2101