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The doubling effect of COVID-19 cases on key health indicators.
Petrof, Oana; Fajgenblat, Maxime; Neyens, Thomas; Molenberghs, Geert; Faes, Christel.
Afiliação
  • Petrof O; I-Biostat, DSI, Hasselt University, Diepenbeek, Belgium.
  • Fajgenblat M; Laboratory of Freshwater Ecology, Evolution and Conservation, KU Leuven, Leuven, Belgium.
  • Neyens T; I-Biostat, DSI, Hasselt University, Diepenbeek, Belgium.
  • Molenberghs G; Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat), KU Leuven, Leuven, Belgium.
  • Faes C; I-Biostat, DSI, Hasselt University, Diepenbeek, Belgium.
PLoS One ; 17(11): e0275523, 2022.
Article em En | MEDLINE | ID: mdl-36417418
From the beginning of the COVID-19 pandemic, researchers advised policy makers to make informed decisions towards the adoption of mitigating interventions. Key easy-to-interpret metrics applied over time can measure the public health impact of epidemic outbreaks. We propose a novel method which quantifies the effect of hospitalizations or mortality when the number of COVID-19 cases doubles. Two analyses are used, a country-by-country analysis and a multi-country approach which considers all countries simultaneously. The new measure is applied to several European countries, where the presence of different variants, vaccination rates and intervention measures taken over time leads to a different risk. Based on our results, the vaccination campaign has a clear effect for all countries analyzed, reducing the risk over time. However, the constant emergence of new variants combined with distinct intervention measures impacts differently the risk per country.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2022 Tipo de documento: Article