Endemic exploratory dashboard for contagious diseases in raising public awareness of health

Mohd Radzi, Nurul Insyirah and Ibrahim, Norfiza (2023) Endemic exploratory dashboard for contagious diseases in raising public awareness of health. In: Research Exhibition in Mathematics and Computer Sciences (REMACS 6.0). Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, pp. 29-30. ISBN 978-629-97440-5-4

Abstract

Contagious diseases, or infectious diseases, are illnesses caused by microorganisms like bacteria, viruses, fungi, or parasites. They can be transmitted through physical contact, respiratory droplets, or indirectly through contaminated objects. The prevalence of diverse diseases in the world is alarming, making it difficult for people to stay informed about the latest trends and developments. This lack of awareness can have significant consequences for public health, hindering timely response, preventive measures, and effective management of these diseases. The "Endemic Exploratory Dashboard for Contagious Diseases in Raising Public Awareness of Health" is a comprehensive project aimed at raising awareness about contagious diseases. The project aims to provide real-time insights, visualizations, and information about the prevalence, trends, and impact of contagious diseases. The objectives of the study are to identify requirements for centralizing endemic cases, design an exploratory dashboard for contagious diseases, and evaluate its usability through user acceptance tests. The methodology used in this study is the Waterfall model, consisting of five phases: planning, where the first objective is achieved; design; development, where the second objective is achieved; testing; and evaluation, where the third objective is achieved. There are a total of 50 respondents which helps with the evaluation of the dashboard. This evaluation proved that this dashboard helps users become better informed about contagious diseases since it has the highest average in the Perceived Usefulness dimension.

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Item Type: Book Section
Creators:
Creators
Email / ID Num.
Mohd Radzi, Nurul Insyirah
UNSPECIFIED
Ibrahim, Norfiza
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Page Range: pp. 29-30
Keywords: Contagious disease, Power BI, Hive, COVID-19, big data.
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/138210
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