Modelling Covid-19 epidemic in Mexico, Finland and Iceland

Over the past two decades there has been a number of global outbreaks of viral diseases. This has accelerated the efforts to model and forecast the disease spreading, in order to find ways to confine the spreading regionally and between regions. Towards this we have devised a model of geographical s...

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Main Authors: Barrio, Rafael A., Kaski, Kimmo K., Haraldsson, Gudmundur G., Aspelund, Thor, Govezensky, Tzipe
Format: Article in Journal/Newspaper
Language:unknown
Published: arXiv 2020
Subjects:
Online Access:https://dx.doi.org/10.48550/arxiv.2007.10806
https://arxiv.org/abs/2007.10806
id ftdatacite:10.48550/arxiv.2007.10806
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spelling ftdatacite:10.48550/arxiv.2007.10806 2023-05-15T16:48:32+02:00 Modelling Covid-19 epidemic in Mexico, Finland and Iceland Barrio, Rafael A. Kaski, Kimmo K. Haraldsson, Gudmundur G. Aspelund, Thor Govezensky, Tzipe 2020 https://dx.doi.org/10.48550/arxiv.2007.10806 https://arxiv.org/abs/2007.10806 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Physics and Society physics.soc-ph Populations and Evolution q-bio.PE FOS Physical sciences FOS Biological sciences Article CreativeWork article Preprint 2020 ftdatacite https://doi.org/10.48550/arxiv.2007.10806 2022-03-10T15:31:04Z Over the past two decades there has been a number of global outbreaks of viral diseases. This has accelerated the efforts to model and forecast the disease spreading, in order to find ways to confine the spreading regionally and between regions. Towards this we have devised a model of geographical spreading of viral infections due to human spatial mobility and adapted it to the latest COVID-19 pandemic. In this the region to be modelled is overlaid with a two-dimensional grid weighted with the population density defined cells, in each of which a compartmental SEIRS system of delay difference equations simulate the local dynamics (microdynamics) of the disease. The infections between cells are stochastic and allow for the geographical spreading of the virus over the two-dimensional space (macrodynamics). This approach allows to separate the parameters related to the biological aspects of the disease from the ones that represent the spatial contagious behaviour through different kinds of mobility of people acting as virus carriers. These provide sufficient information to trace the evolution of the pandemic in different situations. In particular we have applied this approach to three in many ways different countries, Mexico, Finland and Iceland and found that the model is capable of reproducing and predicting the stochastic global path of the pandemic. This study sheds light on how the diverse cultural and socioeconomic aspects of a country influence the evolution of the epidemics and also the efficacy of social distancing and other confinement measures. Article in Journal/Newspaper Iceland DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Physics and Society physics.soc-ph
Populations and Evolution q-bio.PE
FOS Physical sciences
FOS Biological sciences
spellingShingle Physics and Society physics.soc-ph
Populations and Evolution q-bio.PE
FOS Physical sciences
FOS Biological sciences
Barrio, Rafael A.
Kaski, Kimmo K.
Haraldsson, Gudmundur G.
Aspelund, Thor
Govezensky, Tzipe
Modelling Covid-19 epidemic in Mexico, Finland and Iceland
topic_facet Physics and Society physics.soc-ph
Populations and Evolution q-bio.PE
FOS Physical sciences
FOS Biological sciences
description Over the past two decades there has been a number of global outbreaks of viral diseases. This has accelerated the efforts to model and forecast the disease spreading, in order to find ways to confine the spreading regionally and between regions. Towards this we have devised a model of geographical spreading of viral infections due to human spatial mobility and adapted it to the latest COVID-19 pandemic. In this the region to be modelled is overlaid with a two-dimensional grid weighted with the population density defined cells, in each of which a compartmental SEIRS system of delay difference equations simulate the local dynamics (microdynamics) of the disease. The infections between cells are stochastic and allow for the geographical spreading of the virus over the two-dimensional space (macrodynamics). This approach allows to separate the parameters related to the biological aspects of the disease from the ones that represent the spatial contagious behaviour through different kinds of mobility of people acting as virus carriers. These provide sufficient information to trace the evolution of the pandemic in different situations. In particular we have applied this approach to three in many ways different countries, Mexico, Finland and Iceland and found that the model is capable of reproducing and predicting the stochastic global path of the pandemic. This study sheds light on how the diverse cultural and socioeconomic aspects of a country influence the evolution of the epidemics and also the efficacy of social distancing and other confinement measures.
format Article in Journal/Newspaper
author Barrio, Rafael A.
Kaski, Kimmo K.
Haraldsson, Gudmundur G.
Aspelund, Thor
Govezensky, Tzipe
author_facet Barrio, Rafael A.
Kaski, Kimmo K.
Haraldsson, Gudmundur G.
Aspelund, Thor
Govezensky, Tzipe
author_sort Barrio, Rafael A.
title Modelling Covid-19 epidemic in Mexico, Finland and Iceland
title_short Modelling Covid-19 epidemic in Mexico, Finland and Iceland
title_full Modelling Covid-19 epidemic in Mexico, Finland and Iceland
title_fullStr Modelling Covid-19 epidemic in Mexico, Finland and Iceland
title_full_unstemmed Modelling Covid-19 epidemic in Mexico, Finland and Iceland
title_sort modelling covid-19 epidemic in mexico, finland and iceland
publisher arXiv
publishDate 2020
url https://dx.doi.org/10.48550/arxiv.2007.10806
https://arxiv.org/abs/2007.10806
genre Iceland
genre_facet Iceland
op_rights arXiv.org perpetual, non-exclusive license
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
op_doi https://doi.org/10.48550/arxiv.2007.10806
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