  Pandemics always have had serious consequences unless they were effectively
contained. Recent experiences with COVID-19 show that by using a smart and
swift approach to deal with pandemics, avoids overwhelming of healthcare
systems, and reduces the loss of precious life. This paper is about using smart
technologies such as Mobile Edge Clouds (MEC), Internet of Things (IoT), and
Artificial Intelligence (AI), as an approach to effectively manage pandemics.
IoT provides pervasive connectivity among various devices and can be used for
collecting information such as location and symptoms of potentially infected
individuals. MECs provide cloud services on the edge, integrating IoT
infrastructure and execution of sophisticated AI algorithms in the Cloud. In
this paper, we develop a prototype to demonstrate the convergence of pervasive
technologies to support research in managing pandemics. Low-cost Single Board
Computers (SBC) based clusters are integrated within MEC to support remote
medical teams in the field. The prototype implements a lightweight Docker
container orchestrated by Kubernetes eco-system which is deployed on the
clusters. The prototype successfully demonstrates that mobile medical
facilities can utilize the proposed solution to collect information and execute
AI algorithms while on the go. Finally, we present a discussion on the role of
converging pervasive technologies on managing pandemics.
