Frameworkfor Pervasive Context Aware Pandemic Diseases Infected Person Identificationand Information Deliverywith Special Referenceto COVID-19 (The Caseof ETHIOPIA)

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YitayishLema, Amin TuniGure, Durga Prasad Sharma, Abel Adane

Abstract

Human history is observing an awfully strange time fighting an invisible enemy; the novel
pandemic COVID-19 coronavirus. Initially observed within the Wuhan province of China,
now fastly spreading around the world. An emerging area of great impact and significance is
the application of pervasive computing technologies in healthcare; that specialize in enabling
pervasive computing environment using mobile devices. Currently there are issues in home to
home testing/investigation for corona virus infected peoples while they are migrating from
place to place for testing, timeliness, opportunity missing due to anxiety, anywhere, anytime
inaccessibility, dynamic and static reporting over small hand held devices like mobiles. This
research aims to develop a framework for pervasive context aware pandemic diseases
infected person identification and information delivery with special reference to COVID-19.
The researcher followed an applied research design with empirical analysis. This is the mix
of two main approaches (quantitative and qualitative). For primary data collection Survey,
Interview and Practical observation of the researcher are used for collecting the relevant facts
on researchability attributes, issues and challenges. Edraw-Max is used for designing the
system framework and Google Form for Survey. The system framework consists of client
server architecture in which citizens’ and health care workers are the two sorts of clients and
a server serves to both of them. The information’s of infected people are delivered to the
server either in PULL/PUSH mode then the server implicitly PUSH’s the information to
health care worker. In PULL mode, the system provides a listing of possible signs and
symptoms for the user to explicitly pass his/her signs and symptoms to the server and the
server analysing the user signs/symptoms and performs reasoning and decisions supported
context data store in the context repository backend databases.Then, it delivers the relevant
information to the health care workers. On the opposite hand, in PUSH mode, the server
analysing the user’s signs and symptoms based on the information from the user mobile
device while they are using or opening by automatically measuring their temperature, the
system pushes notification message to the health care workers.

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