COVID-19 Transmission Risks Assessment using Agent-Based Weighted Clustering Approach

Abstract

Coronavirus is a pandemic disease spreading from human-to-human rapidly all over the world. This virus is origin from common cold to severe disease such as MERS-CoV and SARS-CoV. Initially it was identified in China, December 2019. The main aim of this research is used to identify the COVID-19 transmission risks assessment from human-to-human within a cluster. The agent-based weighted clustering approach is used to identify the corona virus infected people rapidly within a cluster. In the weighted clustered approach, the normal agents are consisted as susceptible node and the corona virus infected people are considered as malicious node. The Cluster Head (CH) is elected based upon some weighting factors and the trust value is evaluated for all the agents within the cluster. The cluster head were periodically transfers the malicious node information to all other nodes within the cluster. Finally, the agent-based weighted clustering machine learning model approach is used to identify the number of corona virus infected people within the cluster.

COVID-19 Dataset Clustering based on K-Means and EM Algorithms

“…K-Means, EM Algorithm and GMM are three commonly used clustering algorithms in machine learning. Several clustering methods have been developed with the objective to find the correct number of clusters [11], [12], [13], [14], [15]. In [16] the authors focus on utilizing Probabilistic Graphical Models for detecting COVID-19, resulting in excellent detection of the disease.…”

Statistical analysis of the Hungarian COVID‐19 victims

“…Since, the classification and clustering problems are admired topics of research in the area of pattern identification, 24 it is taken into consideration the current research. Clustering is one of the most applicable approach in COVID‐19 screening that particularly is used to identify the transmission risks assessment that recently has been engaged with multiple articles, 25‐27 besides, clustering is a method to develop a map of COVID‐19 occurrences to achieve the optimal handling of the pandemic that the provinces were clustered by K‐Means method 28 to inform the population by raising their awareness of the diseases spread. Numerous studies classified the geographical regions based on COVID‐19 patients as local clustering approach 29‐33 …”