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...

Descripción completa

Detalles Bibliográficos
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
Descripción
Sumario: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.

Ejemplares similares