Effect of intervention policies in an agent based spatial epidemic model of Gwalior

TL;DR

This paper uses an agent-based spatial model to evaluate how different intervention policies can impact the spread of COVID-19 in Gwalior, providing insights into effective containment strategies.

Contribution

It introduces a case study applying the COMOKIT agent-based model to Gwalior, analyzing the effects of various intervention policies on disease spread.

Findings

Intervention policies significantly reduce infection rates.

Model demonstrates the importance of targeted measures.

Policy impacts vary based on regional behaviors.

Abstract

Covid-19 has ravaged the entire world and it may not be the last such to ravage the world. COMOKIT [3] is an agent based spatial modeling tool to study the effect of covid -19 in a geographical area by creating heterogenous synthetic agents and their behaviours. This paper presents comokit based case study on Gwalior region with respect to various intervention policies to curb the spread of the disease.