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Estimating SARS‐CoV‐2 infections and associated changes in COVID‐19 severity and fatality
BACKGROUND: The difficulty in identifying SARS‐CoV‐2 infections has not only been the major obstacle to control the COVID‐19 pandemic but also to quantify changes in the proportion of infections resulting in hospitalization, intensive care unit (ICU) admission, or death. METHODS: We developed a mode...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432583/ https://www.ncbi.nlm.nih.gov/pubmed/37599801 http://dx.doi.org/10.1111/irv.13181 |
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author | Marziano, Valentina Guzzetta, Giorgio Menegale, Francesco Sacco, Chiara Petrone, Daniele Mateo Urdiales, Alberto Del Manso, Martina Bella, Antonino Fabiani, Massimo Vescio, Maria Fenicia Riccardo, Flavia Poletti, Piero Manica, Mattia Zardini, Agnese d'Andrea, Valeria Trentini, Filippo Stefanelli, Paola Rezza, Giovanni Palamara, Anna Teresa Brusaferro, Silvio Ajelli, Marco Pezzotti, Patrizio Merler, Stefano |
author_facet | Marziano, Valentina Guzzetta, Giorgio Menegale, Francesco Sacco, Chiara Petrone, Daniele Mateo Urdiales, Alberto Del Manso, Martina Bella, Antonino Fabiani, Massimo Vescio, Maria Fenicia Riccardo, Flavia Poletti, Piero Manica, Mattia Zardini, Agnese d'Andrea, Valeria Trentini, Filippo Stefanelli, Paola Rezza, Giovanni Palamara, Anna Teresa Brusaferro, Silvio Ajelli, Marco Pezzotti, Patrizio Merler, Stefano |
author_sort | Marziano, Valentina |
collection | PubMed |
description | BACKGROUND: The difficulty in identifying SARS‐CoV‐2 infections has not only been the major obstacle to control the COVID‐19 pandemic but also to quantify changes in the proportion of infections resulting in hospitalization, intensive care unit (ICU) admission, or death. METHODS: We developed a model of SARS‐CoV‐2 transmission and vaccination informed by official estimates of the time‐varying reproduction number to estimate infections that occurred in Italy between February 2020 and 2022. Model outcomes were compared with the Italian National surveillance data to estimate changes in the SARS‐CoV‐2 infection ascertainment ratio (IAR), infection hospitalization ratio (IHR), infection ICU ratio (IIR), and infection fatality ratio (IFR) in five different sub‐periods associated with the dominance of the ancestral lineages and Alpha, Delta, and Omicron BA.1 variants. RESULTS: We estimate that, over the first 2 years of pandemic, the IAR ranged between 15% and 40% (range of 95%CI: 11%–61%), with a peak value in the second half of 2020. The IHR, IIR, and IFR consistently decreased throughout the pandemic with 22–44‐fold reductions between the initial phase and the Omicron period. At the end of the study period, we estimate an IHR of 0.24% (95%CI: 0.17–0.36), IIR of 0.015% (95%CI: 0.011–0.023), and IFR of 0.05% (95%CI: 0.04–0.08). CONCLUSIONS: Since 2021, changes in the dominant SARS‐CoV‐2 variant, vaccination rollout, and the shift of infection to younger ages have reduced SARS‐CoV‐2 infection ascertainment. The same factors, combined with the improvement of patient management and care, contributed to a massive reduction in the severity and fatality of COVID‐19. |
format | Online Article Text |
id | pubmed-10432583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104325832023-08-18 Estimating SARS‐CoV‐2 infections and associated changes in COVID‐19 severity and fatality Marziano, Valentina Guzzetta, Giorgio Menegale, Francesco Sacco, Chiara Petrone, Daniele Mateo Urdiales, Alberto Del Manso, Martina Bella, Antonino Fabiani, Massimo Vescio, Maria Fenicia Riccardo, Flavia Poletti, Piero Manica, Mattia Zardini, Agnese d'Andrea, Valeria Trentini, Filippo Stefanelli, Paola Rezza, Giovanni Palamara, Anna Teresa Brusaferro, Silvio Ajelli, Marco Pezzotti, Patrizio Merler, Stefano Influenza Other Respir Viruses Original Articles BACKGROUND: The difficulty in identifying SARS‐CoV‐2 infections has not only been the major obstacle to control the COVID‐19 pandemic but also to quantify changes in the proportion of infections resulting in hospitalization, intensive care unit (ICU) admission, or death. METHODS: We developed a model of SARS‐CoV‐2 transmission and vaccination informed by official estimates of the time‐varying reproduction number to estimate infections that occurred in Italy between February 2020 and 2022. Model outcomes were compared with the Italian National surveillance data to estimate changes in the SARS‐CoV‐2 infection ascertainment ratio (IAR), infection hospitalization ratio (IHR), infection ICU ratio (IIR), and infection fatality ratio (IFR) in five different sub‐periods associated with the dominance of the ancestral lineages and Alpha, Delta, and Omicron BA.1 variants. RESULTS: We estimate that, over the first 2 years of pandemic, the IAR ranged between 15% and 40% (range of 95%CI: 11%–61%), with a peak value in the second half of 2020. The IHR, IIR, and IFR consistently decreased throughout the pandemic with 22–44‐fold reductions between the initial phase and the Omicron period. At the end of the study period, we estimate an IHR of 0.24% (95%CI: 0.17–0.36), IIR of 0.015% (95%CI: 0.011–0.023), and IFR of 0.05% (95%CI: 0.04–0.08). CONCLUSIONS: Since 2021, changes in the dominant SARS‐CoV‐2 variant, vaccination rollout, and the shift of infection to younger ages have reduced SARS‐CoV‐2 infection ascertainment. The same factors, combined with the improvement of patient management and care, contributed to a massive reduction in the severity and fatality of COVID‐19. John Wiley and Sons Inc. 2023-08-16 /pmc/articles/PMC10432583/ /pubmed/37599801 http://dx.doi.org/10.1111/irv.13181 Text en © 2023 The Authors. Influenza and Other Respiratory Viruses published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Marziano, Valentina Guzzetta, Giorgio Menegale, Francesco Sacco, Chiara Petrone, Daniele Mateo Urdiales, Alberto Del Manso, Martina Bella, Antonino Fabiani, Massimo Vescio, Maria Fenicia Riccardo, Flavia Poletti, Piero Manica, Mattia Zardini, Agnese d'Andrea, Valeria Trentini, Filippo Stefanelli, Paola Rezza, Giovanni Palamara, Anna Teresa Brusaferro, Silvio Ajelli, Marco Pezzotti, Patrizio Merler, Stefano Estimating SARS‐CoV‐2 infections and associated changes in COVID‐19 severity and fatality |
title | Estimating SARS‐CoV‐2 infections and associated changes in COVID‐19 severity and fatality |
title_full | Estimating SARS‐CoV‐2 infections and associated changes in COVID‐19 severity and fatality |
title_fullStr | Estimating SARS‐CoV‐2 infections and associated changes in COVID‐19 severity and fatality |
title_full_unstemmed | Estimating SARS‐CoV‐2 infections and associated changes in COVID‐19 severity and fatality |
title_short | Estimating SARS‐CoV‐2 infections and associated changes in COVID‐19 severity and fatality |
title_sort | estimating sars‐cov‐2 infections and associated changes in covid‐19 severity and fatality |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432583/ https://www.ncbi.nlm.nih.gov/pubmed/37599801 http://dx.doi.org/10.1111/irv.13181 |
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