ABSTRACT
The main pandemic this year around the world can be regarded as COVID-19, an extremely serious virus that negatively affect many people. In order to better deal with the virus to save more lives, it is necessary to discover the relationship between the cases and deaths of COVID-19 to promote the plan to prevent and treat people in a desirable time. In this work, the research mainly focusses on the length of the apparent lag between cases and deaths to help governments and organizations in prevention and treatment. As the state with most cases and deaths, the study of the United States is deemed to be typical for the observation whole world. This work focuses on 4 representative states in the America (Michigan, Arizona, Hawaii, Connecticut) to conclude that the time between the onsite of COVID-19 to death is about one to two months through multiple data analysis techniques including linear regression model, time lag analysis to assist the formulation of the plan in prevention and treatment. © 2022 Author(s).
ABSTRACT
Coronavirus disease (COVID-19) has presented extremely harsh requirements on deterministic transmission capability within different communication networks. However, most existing solutions mainly focus on one specific homogeneous scenario, such as pure IP routers or classical medium access control bridges, which leads to many tough challenges in flexibility and scalability. In this article, we propose a framework for heterogeneous deterministic networks (HDNs) to offer low latency and high reliability in tackling epidemics based on smart collaborative theory. Various wired and wireless connecting patterns are supported by utilizing a hybrid mode for COVID-19 relevant operations. Components generated from deterministic networking, time-sensitive networks, and 5G systems have been integrated to achieve corresponding features. The pervasive function translators are available according to virtualization technologies. The protocol-independent and segment-based concepts have been well considered and successfully implemented during our design process. The validations executed on top of the prototype and simulation platform illustrate the advantages of HDN. We aim to enable HDN as an evolutional structure for information exchange in eHealth and other vertical industries.