Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

PDSIM: An Agent-Based Framework with Human Behavior Modeling for Pandemic Impact Assessment to Build Sustainable Communities

Harshana Weligampola
,
Lakshitha Ramanayake
* ORCID logo ,
Yasiru Ranasinghe
,
Gayanthi Ilangarathna
,
Neranjan Senarath
,
Bhagya Samarakoon
,
Roshan Godaliyadda
ORCID logo ,
Vijitha Herath
,
Parakrama Ekanayaka
,
Janaka Ekanayake
,
Muthucumaru Maheswaran
,
Sandya Theminimulle
,
Anuruddhika Rathnayake
,
Samath Dharmarathne
,
Mallika Pinnawala
,
Sakunthala Yatigammana Ekanayake
,
Ganga Thilakaratne
Version 1 : Received: 24 May 2023 / Approved: 25 May 2023 / Online: 25 May 2023 (09:01:44 CEST)

A peer-reviewed article of this Preprint also exists.

Weligampola, H.; Ramanayake, L.; Ranasinghe, Y.; Ilangarathna, G.; Senarath, N.; Samarakoon, B.; Godaliyadda, R.; Herath, V.; Ekanayake, P.; Ekanayake, J.; Maheswaran, M.; Theminimulle, S.; Rathnayake, A.; Dharmaratne, S.; Pinnawala, M.; Yatigammana, S.; Tilakaratne, G. Pandemic Simulator: An Agent-Based Framework with Human Behavior Modeling for Pandemic-Impact Assessment to Build Sustainable Communities. Sustainability 2023, 15, 11120. Weligampola, H.; Ramanayake, L.; Ranasinghe, Y.; Ilangarathna, G.; Senarath, N.; Samarakoon, B.; Godaliyadda, R.; Herath, V.; Ekanayake, P.; Ekanayake, J.; Maheswaran, M.; Theminimulle, S.; Rathnayake, A.; Dharmaratne, S.; Pinnawala, M.; Yatigammana, S.; Tilakaratne, G. Pandemic Simulator: An Agent-Based Framework with Human Behavior Modeling for Pandemic-Impact Assessment to Build Sustainable Communities. Sustainability 2023, 15, 11120.

Abstract

It is crucial to immediately curb the spread of a disease once an outbreak is identified in a pandemic. An agent based simulator will enable the policymakers to evaluate the effectiveness of different hypothetical strategies and policies with a higher level of granularity. This will allow them to identify the vulnerabilities and asses the threat level more effectively, which in turn can be used to build resilience within the community against a pandemic. This study proposes a PanDemic SIMulator (PDSIM ) which is capable of modeling complex environments while simulating realistic human motion patterns. The ability of PDSIM to track the infection propagation patterns, contact paths, places visited, characteristics of people, vaccination, and testing information of the population, allows the user to check the efficacy of different containment strategies and testing protocols. The results obtained based on the case studies of Covid-19 are used to validate the proposed model. However, it is highly extendable to all pandemics in general, enabling robust planning for more sustainable communities.

Keywords

Covid-19; Pandemic; Agent-Based Models (ABM); Human Movement Modeling; Envi-ronment modeling; Disease Propagation and Containment

Subject

Public Health and Healthcare, Health Policy and Services

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.

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