A SEIR model with time-varying coefficients for analysing the SARS-CoV-2 epidemic

In this study, we propose a time-dependent Susceptible-Exposed-Infected-Recovered (SEIR) model for the analysis of the SARS-CoV-2 epidemic outbreak in three different countries, the United States of America, Italy and Iceland using public data inherent the numbers of the epidemic wave. Since several...

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Bibliographic Details
Main Authors: Girardi, P., Gaetan, C.
Format: Article in Journal/Newspaper
Language:unknown
Published: arXiv 2021
Subjects:
Populations and Evolution q-bio.PE
Applications stat.AP
Methodology stat.ME
FOS Biological sciences
FOS Computer and information sciences
Iceland
Online Access:https://dx.doi.org/10.48550/arxiv.2111.03157
https://arxiv.org/abs/2111.03157
id ftdatacite:10.48550/arxiv.2111.03157
record_format openpolar
spelling ftdatacite:10.48550/arxiv.2111.03157 2023-05-15T16:49:23+02:00 A SEIR model with time-varying coefficients for analysing the SARS-CoV-2 epidemic Girardi, P. Gaetan, C. 2021 https://dx.doi.org/10.48550/arxiv.2111.03157 https://arxiv.org/abs/2111.03157 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Populations and Evolution q-bio.PE Applications stat.AP Methodology stat.ME FOS Biological sciences FOS Computer and information sciences Article CreativeWork article Preprint 2021 ftdatacite https://doi.org/10.48550/arxiv.2111.03157 2022-03-10T13:29:17Z In this study, we propose a time-dependent Susceptible-Exposed-Infected-Recovered (SEIR) model for the analysis of the SARS-CoV-2 epidemic outbreak in three different countries, the United States of America, Italy and Iceland using public data inherent the numbers of the epidemic wave. Since several types and grades of actions were adopted by the governments, including travel restrictions, social distancing, or limitation of movement, we want to investigate how these measures can affect the epidemic curve of the infectious population. The parameters of interest for the SEIR model were estimated employing a composite likelihood approach. Moreover, standard errors have been corrected for temporal dependence. The adoption of restrictive measures results in flatten epidemic curves, and the future evolution indicated a decrease in the number of cases. 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 Populations and Evolution q-bio.PE
Applications stat.AP
Methodology stat.ME
FOS Biological sciences
FOS Computer and information sciences
spellingShingle Populations and Evolution q-bio.PE
Applications stat.AP
Methodology stat.ME
FOS Biological sciences
FOS Computer and information sciences
Girardi, P.
Gaetan, C.
A SEIR model with time-varying coefficients for analysing the SARS-CoV-2 epidemic
topic_facet Populations and Evolution q-bio.PE
Applications stat.AP
Methodology stat.ME
FOS Biological sciences
FOS Computer and information sciences
description In this study, we propose a time-dependent Susceptible-Exposed-Infected-Recovered (SEIR) model for the analysis of the SARS-CoV-2 epidemic outbreak in three different countries, the United States of America, Italy and Iceland using public data inherent the numbers of the epidemic wave. Since several types and grades of actions were adopted by the governments, including travel restrictions, social distancing, or limitation of movement, we want to investigate how these measures can affect the epidemic curve of the infectious population. The parameters of interest for the SEIR model were estimated employing a composite likelihood approach. Moreover, standard errors have been corrected for temporal dependence. The adoption of restrictive measures results in flatten epidemic curves, and the future evolution indicated a decrease in the number of cases.
format Article in Journal/Newspaper
author Girardi, P.
Gaetan, C.
author_facet Girardi, P.
Gaetan, C.
author_sort Girardi, P.
title A SEIR model with time-varying coefficients for analysing the SARS-CoV-2 epidemic
title_short A SEIR model with time-varying coefficients for analysing the SARS-CoV-2 epidemic
title_full A SEIR model with time-varying coefficients for analysing the SARS-CoV-2 epidemic
title_fullStr A SEIR model with time-varying coefficients for analysing the SARS-CoV-2 epidemic
title_full_unstemmed A SEIR model with time-varying coefficients for analysing the SARS-CoV-2 epidemic
title_sort seir model with time-varying coefficients for analysing the sars-cov-2 epidemic
publisher arXiv
publishDate 2021
url https://dx.doi.org/10.48550/arxiv.2111.03157
https://arxiv.org/abs/2111.03157
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.2111.03157
_version_ 1766039528180547584

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