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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