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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.
  • Agapiou S; Department of Mathematics and Statistics, University of Cyprus, Nicosia, Cyprus.
  • Anastasiou A; Department of Mathematics and Statistics, University of Cyprus, Nicosia, Cyprus.
  • Baxevani A; Department of Mathematics and Statistics, University of Cyprus, Nicosia, Cyprus.
  • Nicolaides C; Department of Business and Public Administration, University of Cyprus, Nicosia, Cyprus.
  • Hadjigeorgiou G; Nireas Research Centre, University of Cyprus, Nicosia, Cyprus.
  • Christofides T; Medical School, University of Cyprus, Nicosia, Cyprus.
  • Constantinou E; Department of Mathematics and Statistics, University of Cyprus, Nicosia, Cyprus.
  • Nikolopoulos G; Cyprus Ministry of Health, Nicosia, Cyprus.
  • Fokianos K; Medical School, University of Cyprus, Nicosia, Cyprus. nikolopoulos.georgios@ucy.ac.cy.
Sci Rep ; 11(1): 7342, 2021 04 01.
Article in English | MEDLINE | ID: covidwho-1164910
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Statistical / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-86606-3

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Statistical / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-86606-3