ABSTRACT
Despite the effectiveness of social isolation and, in particular, contact tracing for infection management, there are a number of drawbacks, including that it is time-consuming, labor-intensive, and adhoc. Following the COVID-19 outbreak, a number of mobile technologies are emerging to combat the inefficiencies of human contact tracing. However, there is a lack of actual, transparent platform design, and the production of maps for active infection, particularly in the state-of-the-art Blockchain technology. In this paper we introduce CTChain, a blockchainbased tool that collects, organizes, and generates maps of active infections to assist public health officials in their work. Utilizing a hierarchical network architecture, a regional map for active infection is built by navigating via a cache memorystored blockchain. Our architecture continuously filters out outdated infections to produce batches of the most pertinent dynamic regional data, which may be utilized to issue timely health recommendations and temporarily seal off high-infection areas. CTChain's platform can map the active infections across three different parameters: sparse vs densely populated region, number of people in each location, and initial infection rate. We can examine infection transmission and region "popularity” on a per-region basis because of our region handler capabilities. Due to the network's widespread storage of many copies of the chain, our model is safeguarded against single points of failure. © 2022, International Society for Computers and Their Applications. All rights reserved.