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Analysis of COVID-19 Spread in Tokyo through an Agent-Based Model with Data Assimilation
In this paper, we introduce an agent-based model together with a particle filter approach to study the spread of COVID-19. Investigations are mainly performed on the metropolis of Tokyo, but other prefectures of Japan are also briefly surveyed. A novel method for evaluating the effective reproductio...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103055/ https://www.ncbi.nlm.nih.gov/pubmed/35566527 http://dx.doi.org/10.3390/jcm11092401 |
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author | Sun, Chang Richard, Serge Miyoshi, Takemasa Tsuzu, Naohiro |
author_facet | Sun, Chang Richard, Serge Miyoshi, Takemasa Tsuzu, Naohiro |
author_sort | Sun, Chang |
collection | PubMed |
description | In this paper, we introduce an agent-based model together with a particle filter approach to study the spread of COVID-19. Investigations are mainly performed on the metropolis of Tokyo, but other prefectures of Japan are also briefly surveyed. A novel method for evaluating the effective reproduction number is one of the main outcomes of our approach. Other unknown parameters are also evaluated. Uncertain quantities, such as, for example, the probability that an infected agent develops symptoms, are tested and discussed, and the stability of our computations is examined. Detailed explanations are provided for the model and for the assimilation process. |
format | Online Article Text |
id | pubmed-9103055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91030552022-05-14 Analysis of COVID-19 Spread in Tokyo through an Agent-Based Model with Data Assimilation Sun, Chang Richard, Serge Miyoshi, Takemasa Tsuzu, Naohiro J Clin Med Article In this paper, we introduce an agent-based model together with a particle filter approach to study the spread of COVID-19. Investigations are mainly performed on the metropolis of Tokyo, but other prefectures of Japan are also briefly surveyed. A novel method for evaluating the effective reproduction number is one of the main outcomes of our approach. Other unknown parameters are also evaluated. Uncertain quantities, such as, for example, the probability that an infected agent develops symptoms, are tested and discussed, and the stability of our computations is examined. Detailed explanations are provided for the model and for the assimilation process. MDPI 2022-04-25 /pmc/articles/PMC9103055/ /pubmed/35566527 http://dx.doi.org/10.3390/jcm11092401 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sun, Chang Richard, Serge Miyoshi, Takemasa Tsuzu, Naohiro Analysis of COVID-19 Spread in Tokyo through an Agent-Based Model with Data Assimilation |
title | Analysis of COVID-19 Spread in Tokyo through an Agent-Based Model with Data Assimilation |
title_full | Analysis of COVID-19 Spread in Tokyo through an Agent-Based Model with Data Assimilation |
title_fullStr | Analysis of COVID-19 Spread in Tokyo through an Agent-Based Model with Data Assimilation |
title_full_unstemmed | Analysis of COVID-19 Spread in Tokyo through an Agent-Based Model with Data Assimilation |
title_short | Analysis of COVID-19 Spread in Tokyo through an Agent-Based Model with Data Assimilation |
title_sort | analysis of covid-19 spread in tokyo through an agent-based model with data assimilation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103055/ https://www.ncbi.nlm.nih.gov/pubmed/35566527 http://dx.doi.org/10.3390/jcm11092401 |
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