Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/24318
Title: Promoting the adoption of agent-based modelling for synergistic interventions and decision-making during pandemic outbreaks
Authors: Kyriakidis, Phaedon 
Kavroudakis, Dimitris 
Fayad, Philip 
Hadjipetrou, Stylianos 
Leventis, Georgios 
Papakonstantinou, Apostolos 
Major Field of Science: Engineering and Technology
Keywords: spatial simulation;COVID-19;lock-down
Issue Date: 5-Jul-2021
Source: AGILE: GIScience Series, 2021, vol. 2, iss. 44
Journal: AGILE: GIScience Series 
Abstract: Geography has long sought to explain spatial relationships between social and physical processes, including the spread of infectious diseases, within the context of modelling human-environment interactions. The spread of the recent COVID-19 pandemic, and its devastating effects on human activity and welfare, represent but examples of such complex human-environment interactions. In this paper, we discuss the value of agent-based models for simulating the spread of the COVID-19 virus to support decision-making with regards to non-pharmaceutical interventions, e.g., lock-down. We also develop a prototype agent-based model using a minimal set of rules regarding patterns of human mobility within a hypothetical town, and couple that with an epidemiological model of infectious disease spread. The coupled model is used to: (a) create synthetic trajectories corresponding to daily and weekly activities postulated between a set of predefined points of interest (e.g., home, work), and (b) simulate new infections at contact points and their subsequent effects on the spread of the disease. We finally use the model simulations as a means of evaluating decisions regarding the number and type of activities to be limited during a planned lockdown in a COVID-19 pandemic context.
URI: https://hdl.handle.net/20.500.14279/24318
DOI: 10.5194/agile-giss-2-44-2021
Rights: © Author(s)
Type: Conference Papers
Affiliation : Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
University of Aegean 
Geospatial Analytics Lab 
Publication Type: Peer Reviewed
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence

Files in This Item:
File Description SizeFormat
agile-giss-2-44-2021.pdfOpen Access905.51 kBAdobe PDFView/Open
CORE Recommender
Show full item record

Page view(s) 50

234
Last Week
1
Last month
10
checked on Nov 21, 2024

Download(s) 50

140
checked on Nov 21, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.