Source code and secondary data of the stochastic process based COVID-19 simulation model [Image: see text]

The novel coronavirus disease (COVID-19) culminated in a pandemic with many countries affected in varying stages. We aimed to develop a simulation environment for COVID-19 spread, taking environmental and social factors into account. This program consists of three main components; a stochastic proce...

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Detalles Bibliográficos
Autores principales: Manathunga, S.S., Abeyagunawardena, I.A., Dharmaratne, S.D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2022
Materias:
Original Software Publication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988451/
https://www.ncbi.nlm.nih.gov/pubmed/35411335
http://dx.doi.org/10.1016/j.simpa.2022.100284
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author Manathunga, S.S.
Abeyagunawardena, I.A.
Dharmaratne, S.D.
author_facet Manathunga, S.S.
Abeyagunawardena, I.A.
Dharmaratne, S.D.
author_sort Manathunga, S.S.
collection PubMed
description The novel coronavirus disease (COVID-19) culminated in a pandemic with many countries affected in varying stages. We aimed to develop a simulation environment for COVID-19 spread, taking environmental and social factors into account. This program consists of three main components; a stochastic process-based model for simulating epidemics, a basic reproduction number estimation unit and a graphics generator. The model can take a variety of environmental factors as input and simulate expected behaviours of the infection spread, enabling policymakers and the scientific community to test the effects of different mitigation strategies in a sandbox.
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spelling pubmed-89884512022-04-07 Source code and secondary data of the stochastic process based COVID-19 simulation model [Image: see text] Manathunga, S.S. Abeyagunawardena, I.A. Dharmaratne, S.D. Softw Impacts Original Software Publication The novel coronavirus disease (COVID-19) culminated in a pandemic with many countries affected in varying stages. We aimed to develop a simulation environment for COVID-19 spread, taking environmental and social factors into account. This program consists of three main components; a stochastic process-based model for simulating epidemics, a basic reproduction number estimation unit and a graphics generator. The model can take a variety of environmental factors as input and simulate expected behaviours of the infection spread, enabling policymakers and the scientific community to test the effects of different mitigation strategies in a sandbox. The Author(s). Published by Elsevier B.V. 2022-05 2022-04-07 /pmc/articles/PMC8988451/ /pubmed/35411335 http://dx.doi.org/10.1016/j.simpa.2022.100284 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Software Publication
Manathunga, S.S.
Abeyagunawardena, I.A.
Dharmaratne, S.D.
Source code and secondary data of the stochastic process based COVID-19 simulation model [Image: see text]
title Source code and secondary data of the stochastic process based COVID-19 simulation model [Image: see text]
title_full Source code and secondary data of the stochastic process based COVID-19 simulation model [Image: see text]
title_fullStr Source code and secondary data of the stochastic process based COVID-19 simulation model [Image: see text]
title_full_unstemmed Source code and secondary data of the stochastic process based COVID-19 simulation model [Image: see text]
title_short Source code and secondary data of the stochastic process based COVID-19 simulation model [Image: see text]
title_sort source code and secondary data of the stochastic process based covid-19 simulation model [image: see text]
topic Original Software Publication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988451/
https://www.ncbi.nlm.nih.gov/pubmed/35411335
http://dx.doi.org/10.1016/j.simpa.2022.100284
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