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

Abstract 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 det...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Sergios Agapiou, Andreas Anastasiou, Anastassia Baxevani, Christos Nicolaides, Georgios Hadjigeorgiou, Tasos Christofides, Elisavet Constantinou, Georgios Nikolopoulos, Konstantinos Fokianos
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/6f82bd749a1440d887075332777f6e99
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:6f82bd749a1440d887075332777f6e99
record_format dspace
spelling oai:doaj.org-article:6f82bd749a1440d887075332777f6e992021-12-02T14:23:05ZModeling the first wave of Covid-19 pandemic in the Republic of Cyprus10.1038/s41598-021-86606-32045-2322https://doaj.org/article/6f82bd749a1440d887075332777f6e992021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86606-3https://doaj.org/toc/2045-2322Abstract 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.Sergios AgapiouAndreas AnastasiouAnastassia BaxevaniChristos NicolaidesGeorgios HadjigeorgiouTasos ChristofidesElisavet ConstantinouGeorgios NikolopoulosKonstantinos FokianosNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Sergios Agapiou
Andreas Anastasiou
Anastassia Baxevani
Christos Nicolaides
Georgios Hadjigeorgiou
Tasos Christofides
Elisavet Constantinou
Georgios Nikolopoulos
Konstantinos Fokianos
Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus
description Abstract 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.
format article
author Sergios Agapiou
Andreas Anastasiou
Anastassia Baxevani
Christos Nicolaides
Georgios Hadjigeorgiou
Tasos Christofides
Elisavet Constantinou
Georgios Nikolopoulos
Konstantinos Fokianos
author_facet Sergios Agapiou
Andreas Anastasiou
Anastassia Baxevani
Christos Nicolaides
Georgios Hadjigeorgiou
Tasos Christofides
Elisavet Constantinou
Georgios Nikolopoulos
Konstantinos Fokianos
author_sort Sergios Agapiou
title 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_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_sort modeling the first wave of covid-19 pandemic in the republic of cyprus
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/6f82bd749a1440d887075332777f6e99
work_keys_str_mv AT sergiosagapiou modelingthefirstwaveofcovid19pandemicintherepublicofcyprus
AT andreasanastasiou modelingthefirstwaveofcovid19pandemicintherepublicofcyprus
AT anastassiabaxevani modelingthefirstwaveofcovid19pandemicintherepublicofcyprus
AT christosnicolaides modelingthefirstwaveofcovid19pandemicintherepublicofcyprus
AT georgioshadjigeorgiou modelingthefirstwaveofcovid19pandemicintherepublicofcyprus
AT tasoschristofides modelingthefirstwaveofcovid19pandemicintherepublicofcyprus
AT elisavetconstantinou modelingthefirstwaveofcovid19pandemicintherepublicofcyprus
AT georgiosnikolopoulos modelingthefirstwaveofcovid19pandemicintherepublicofcyprus
AT konstantinosfokianos modelingthefirstwaveofcovid19pandemicintherepublicofcyprus
_version_ 1718391493641633792