Article
Version 1
Preserved in Portico This version is not peer-reviewed
An Agent-Based Model for Disease Epidemics in Greece
Version 1
: Received: 9 January 2024 / Approved: 10 January 2024 / Online: 10 January 2024 (08:06:01 CET)
A peer-reviewed article of this Preprint also exists.
Thomopoulos, V.; Tsichlas, K. An Agent-Based Model for Disease Epidemics in Greece. Information 2024, 15, 150, doi:10.3390/info15030150. Thomopoulos, V.; Tsichlas, K. An Agent-Based Model for Disease Epidemics in Greece. Information 2024, 15, 150, doi:10.3390/info15030150.
Abstract
In this research, we present the first steps taken towards a data-driven agent-based model (ABM) specifically designed for simulating infectious disease dynamics in Greece. Amidst the ongoing COVID-19 pandemic caused by SARS-CoV-2, this research holds significant importance as it can offer valuable insights into disease transmission patterns and assist in devising effective intervention strategies. To the best of our knowledge, no similar study has been conducted in Greece. We constructed a prototype ABM that utilizes publicly accessible data to accurately represent the complex interactions and dynamics of disease spread in the Greek population. By incorporating demographic information and behavioral patterns, our model captures the specific characteristics of Greece, enabling accurate and context-specific simulations. By using our proposed ABM, we aim to assist policymakers in making informed decisions regarding disease control and prevention. Through the use of simulations, policymakers have the opportunity to explore different scenarios and predict the possible results of various intervention measures. These may include strategies like testing approaches, contact tracing, vaccination campaigns, and social distancing measures. Through these simulations, policymakers can assess the effectiveness and feasibility of these interventions, leading to the development of well-informed strategies aimed at reducing the impact of infectious diseases on the Greek population. This study is an initial exploration toward understanding disease transmission patterns and a first step towards formulating effective intervention strategies for Greece.
Keywords
agent-based modeling; COVID-19; SEIR model; synthetic population; disease dynamics
Subject
Computer Science and Mathematics, Other
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment
