Sistema de ayuda a la toma de decisiones sanitarias. Propuesta de umbrales de riesgo epidemiológico ante SARS-CoV-2

Pérez, María Isolina Santiago; López-Vizcaíno, Esther; Ruano-Raviña, Alberto; Pérez-Ríos, Mónica

doi:10.1016/j.arbres.2020.12.036

Cited by 3 publications

(2 citation statements)

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“…In addition, incidence was observed to vary widely among the regions making up the respective EU countries ( 4 – 6 ). Some authors have sought to explain this variability by proposing a series of causes, classifiable as demographic in nature or related to public health measures.…”

Section: Introductionmentioning

confidence: 99%

“…There is little evidence on the variability of COVID-19 incidence across Europe and the reasons that may account for this phenomenon. The formal approach to its analysis is complex: some authors have focused on variability in mortality and the lethality rate ( 6 , 11 , 12 ); others have analysed how COVID-19 incidence behaves at a national level ( 5 , 13 ); and while one study has analysed variability in incidence across the European continent, it does not take into account variability between the regions of a single country ( 4 ). Nonetheless, there are relatively simple methodologies which allow for a single metric to be applied to both inter-country variability and intra-country variability by region, such as the interquartile range of variation in incidence between regions.…”

Section: Introductionmentioning

confidence: 99%

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COVID-19 Variability Within European Countries Sourced From ECDC Data. Is Variability Explained by Specific Country Policies?

Ruano-Raviña

López-Vizcaíno²,

Candal-Pedreira

et al. 2022

Front. Public Health

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BackgroundEurope 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.MethodsWe 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 29th 2020 and February 1st 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 L2 metric for functional data. We afterwards standardised this metric to a scale from 0 to 100 points. We repeated the calculations excluding island regions.ResultsThe 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.ConclusionsThese 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.

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Section: Introductionmentioning

confidence: 99%