Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus

We present different data analytic methodologies that have been applied in order to understand the evolution of the first wave of the Coronavirus disease 2019 in the Republic of Cyprus and the effect of different intervention measures that have been taken by the government. Change point detection ha...

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Autores principales: Agapiou, Sergios, Anastasiou, Andreas, Baxevani, Anastassia, Nicolaides, Christos, Hadjigeorgiou, Georgios, Christofides, Tasos, Constantinou, Elisavet, Nikolopoulos, Georgios, Fokianos, Konstantinos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017012/
https://www.ncbi.nlm.nih.gov/pubmed/33795723
http://dx.doi.org/10.1038/s41598-021-86606-3
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author Agapiou, Sergios
Anastasiou, Andreas
Baxevani, Anastassia
Nicolaides, Christos
Hadjigeorgiou, Georgios
Christofides, Tasos
Constantinou, Elisavet
Nikolopoulos, Georgios
Fokianos, Konstantinos
author_facet Agapiou, Sergios
Anastasiou, Andreas
Baxevani, Anastassia
Nicolaides, Christos
Hadjigeorgiou, Georgios
Christofides, Tasos
Constantinou, Elisavet
Nikolopoulos, Georgios
Fokianos, Konstantinos
author_sort Agapiou, Sergios
collection PubMed
description We present different data analytic methodologies that have been applied in order to understand the evolution of the first wave of the Coronavirus disease 2019 in the Republic of Cyprus and the effect of different intervention measures that have been taken by the government. Change point detection has been used in order to estimate the number and locations of changes in the behaviour of the collected data. Count time series methods have been employed to provide short term projections and a number of various compartmental models have been fitted to the data providing with long term projections on the pandemic’s evolution and allowing for the estimation of the effective reproduction number.
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spelling pubmed-80170122021-04-07 Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus Agapiou, Sergios Anastasiou, Andreas Baxevani, Anastassia Nicolaides, Christos Hadjigeorgiou, Georgios Christofides, Tasos Constantinou, Elisavet Nikolopoulos, Georgios Fokianos, Konstantinos Sci Rep Article We present different data analytic methodologies that have been applied in order to understand the evolution of the first wave of the Coronavirus disease 2019 in the Republic of Cyprus and the effect of different intervention measures that have been taken by the government. Change point detection has been used in order to estimate the number and locations of changes in the behaviour of the collected data. Count time series methods have been employed to provide short term projections and a number of various compartmental models have been fitted to the data providing with long term projections on the pandemic’s evolution and allowing for the estimation of the effective reproduction number. Nature Publishing Group UK 2021-04-01 /pmc/articles/PMC8017012/ /pubmed/33795723 http://dx.doi.org/10.1038/s41598-021-86606-3 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Agapiou, Sergios
Anastasiou, Andreas
Baxevani, Anastassia
Nicolaides, Christos
Hadjigeorgiou, Georgios
Christofides, Tasos
Constantinou, Elisavet
Nikolopoulos, Georgios
Fokianos, Konstantinos
Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus
title Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus
title_full Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus
title_fullStr Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus
title_full_unstemmed Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus
title_short Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus
title_sort modeling the first wave of covid-19 pandemic in the republic of cyprus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017012/
https://www.ncbi.nlm.nih.gov/pubmed/33795723
http://dx.doi.org/10.1038/s41598-021-86606-3
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