Cargando…
COVID-19 Variability Within European Countries Sourced From ECDC Data. Is Variability Explained by Specific Country Policies?
BACKGROUND: Europe has had a large variability in COVID-19 incidence between and within countries, particularly after June 2020. We aim to assess the variability between European countries and regions located in a given country. METHODS: We used ECDC information including countries having 7 regions...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805795/ https://www.ncbi.nlm.nih.gov/pubmed/35118037 http://dx.doi.org/10.3389/fpubh.2021.737133 |
_version_ | 1784643295793643520 |
---|---|
author | Ruano-Ravina, Alberto López-Vizcaíno, Esther Candal-Pedreira, Cristina Santiago-Pérez, María Isolina Pérez-Ríos, Mónica |
author_facet | Ruano-Ravina, Alberto López-Vizcaíno, Esther Candal-Pedreira, Cristina Santiago-Pérez, María Isolina Pérez-Ríos, Mónica |
author_sort | Ruano-Ravina, Alberto |
collection | PubMed |
description | BACKGROUND: Europe has had a large variability in COVID-19 incidence between and within countries, particularly after June 2020. We aim to assess the variability between European countries and regions located in a given country. METHODS: We used ECDC information including countries having 7 regions or more. The metric used to assess the regional variability within a country was the intercuartilic range in a weekly basis for 32 weeks between June 29(th) 2020 and February 1(st) 2021. We also calculated each country's overall variability across the 32 weeks using the distances from the regional curves of the 14-day incidence rates to the corresponding national curve, using the L(2) metric for functional data. We afterwards standardised this metric to a scale from 0 to 100 points. We repeated the calculations excluding island regions. RESULTS: The variability between and within countries was large. Slovenia, Spain and Portugal have the greatest variability. Spain and Slovenia held also the top three places for the greatest number of weeks (Spain for 19 weeks and Slovenia for 10) with the highest variability. For variability among the incidence curves across the 32-week period, Slovenia, Portugal and Spain ranked first in functional variability, when all the regions were analysed but also when the island regions were excluded. CONCLUSIONS: These differences might be due to how countries tackled the epidemiological situation. The persistent variability in COVID-19 incidence between regions of a given country suggests that governmental action may have an important role in applying epidemiological control measures. |
format | Online Article Text |
id | pubmed-8805795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88057952022-02-02 COVID-19 Variability Within European Countries Sourced From ECDC Data. Is Variability Explained by Specific Country Policies? Ruano-Ravina, Alberto López-Vizcaíno, Esther Candal-Pedreira, Cristina Santiago-Pérez, María Isolina Pérez-Ríos, Mónica Front Public Health Public Health BACKGROUND: Europe has had a large variability in COVID-19 incidence between and within countries, particularly after June 2020. We aim to assess the variability between European countries and regions located in a given country. METHODS: We used ECDC information including countries having 7 regions or more. The metric used to assess the regional variability within a country was the intercuartilic range in a weekly basis for 32 weeks between June 29(th) 2020 and February 1(st) 2021. We also calculated each country's overall variability across the 32 weeks using the distances from the regional curves of the 14-day incidence rates to the corresponding national curve, using the L(2) metric for functional data. We afterwards standardised this metric to a scale from 0 to 100 points. We repeated the calculations excluding island regions. RESULTS: The variability between and within countries was large. Slovenia, Spain and Portugal have the greatest variability. Spain and Slovenia held also the top three places for the greatest number of weeks (Spain for 19 weeks and Slovenia for 10) with the highest variability. For variability among the incidence curves across the 32-week period, Slovenia, Portugal and Spain ranked first in functional variability, when all the regions were analysed but also when the island regions were excluded. CONCLUSIONS: These differences might be due to how countries tackled the epidemiological situation. The persistent variability in COVID-19 incidence between regions of a given country suggests that governmental action may have an important role in applying epidemiological control measures. Frontiers Media S.A. 2022-01-18 /pmc/articles/PMC8805795/ /pubmed/35118037 http://dx.doi.org/10.3389/fpubh.2021.737133 Text en Copyright © 2022 Ruano-Ravina, López-Vizcaíno, Candal-Pedreira, Santiago-Pérez and Pérez-Ríos. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Ruano-Ravina, Alberto López-Vizcaíno, Esther Candal-Pedreira, Cristina Santiago-Pérez, María Isolina Pérez-Ríos, Mónica COVID-19 Variability Within European Countries Sourced From ECDC Data. Is Variability Explained by Specific Country Policies? |
title | COVID-19 Variability Within European Countries Sourced From ECDC Data. Is Variability Explained by Specific Country Policies? |
title_full | COVID-19 Variability Within European Countries Sourced From ECDC Data. Is Variability Explained by Specific Country Policies? |
title_fullStr | COVID-19 Variability Within European Countries Sourced From ECDC Data. Is Variability Explained by Specific Country Policies? |
title_full_unstemmed | COVID-19 Variability Within European Countries Sourced From ECDC Data. Is Variability Explained by Specific Country Policies? |
title_short | COVID-19 Variability Within European Countries Sourced From ECDC Data. Is Variability Explained by Specific Country Policies? |
title_sort | covid-19 variability within european countries sourced from ecdc data. is variability explained by specific country policies? |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805795/ https://www.ncbi.nlm.nih.gov/pubmed/35118037 http://dx.doi.org/10.3389/fpubh.2021.737133 |
work_keys_str_mv | AT ruanoravinaalberto covid19variabilitywithineuropeancountriessourcedfromecdcdataisvariabilityexplainedbyspecificcountrypolicies AT lopezvizcainoesther covid19variabilitywithineuropeancountriessourcedfromecdcdataisvariabilityexplainedbyspecificcountrypolicies AT candalpedreiracristina covid19variabilitywithineuropeancountriessourcedfromecdcdataisvariabilityexplainedbyspecificcountrypolicies AT santiagoperezmariaisolina covid19variabilitywithineuropeancountriessourcedfromecdcdataisvariabilityexplainedbyspecificcountrypolicies AT perezriosmonica covid19variabilitywithineuropeancountriessourcedfromecdcdataisvariabilityexplainedbyspecificcountrypolicies |