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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/7604| Joinpoint Regression to Determine the Impact of COVID-19 on Mortality in Europe: A Longitudinal Analysis From 2000 to 2020 in 27 Countries | |
| Alessandro Rovetta | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2022.01.19.22269576 | |
| https://www.medrxiv.org/content/10.1101/2022.01.19.22269576v1 | |
| The novel coronavirus disease 2019 (COVID-19) represented the most extensive health emergency in human history. However, to date, there is still a lot of uncertainty about the exact death toll the pandemic has claimed. In particular, the number of official deaths could be vastly underestimated. Despite this, many conspirationists speculate that COVID-19 is not a dangerous disease. Therefore, in this manuscript, we use joinpoint regression analysis to estimate the impact of COVID-19 in 27 European countries by comparing annual mortality trends from 2000 to 2020. Furthermore, we provide accessible evidence even for a non-expert audience. In conclusion, our results estimate that COVID-19 increased the overall mortality in Europe by 10% (P < .001). In 16 out of 27 countries (59.3%), the excess mortality ranged from 7.4% to 18.5% (all P < .007). Comparison of the observed mortality distribution with the null counterfactual showed that the mortality increase was highly significant across Europe, even considering only the nations with minor 2020 increases (highest P = .014, lowest mean = 2.4). | |
| medRxiv and bioRxiv | |
| 21-01-2022 | |
| Preimpreso | |
| www.medrxiv.org | |
| Inglés | |
| Epidemia COVID-19 | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Artículos científicos |
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| Joinpoint Regression to Determine the Impact of COVID 19 on Mortality in Europe.pdf | 191.8 kB | Adobe PDF | Visualizar/Abrir |