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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.
  • 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 in English | MEDLINE | ID: covidwho-2140575
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0275523

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0275523