Corona Virus Disease (COVID 19): Analysis and Design of an Alert and Real-time Tracking System
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Date
2020-05
Journal Title
Journal ISSN
Volume Title
Publisher
Warse
Abstract
Microscopic agents such as viruses, protozoa, bacteria,
fungi, etc. are common aetiologic agents in most infections
affecting man. Whereas some infectious diseases are
localized owing to the unique geospatial and biochemical
characteristics of the aetiologic agents, others are not bound
by such restrictions hence their manifest tendencies towards
evolving an epidemic or even a pandemic. CoVID-19 sprang
up in Wuhan China in November 2019 and was declared a
pandemic by the in January 2020 World Health Organization
(WHO). Like the Spanish flu of 1918 that claimed millions
of lives, the COVID-19 has caused the demise of thousands
with China, Italy, Spain and the USA having the highest
statistics on infection and mortality rates. Regardless of
existing sophisticated technologies and medical science, the
spread has continued to surge high. Tracking of suspected
carriers (cases) has been difficult, thereby increasing the risk
of spread. As a novel infection, real-time information
management beyond national geographical borders is vital to
the success of any disease management campaign.
Currently, information on the Covid-19 and applicable
management procedures in most countries is limited thus
creating a knowledge and management gap among the
populace and even health management personnel especially
in areas susceptible to the pandemic. In response to the
aforementioned, this paper proposes an Alert and Tracking
System (CVATS) that enhances information dissemination,
disease management, tracking of cases, and management of
confirmed cases. The system follows an object-oriented
approach in articulating the various actors and evolves a
model that could be implemented on both web and mobile
platforms. On mobile platform, it employs google maps and
could be used to track persons as well as geographical areas
with prevalence of infections.
Description
Keywords
COVID-19, Corona Virus, Epidemic, Infectious disease, Pandemic, Infectious disease, Informatics