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Projection of healthcare demand in Germany and Switzerland urged by Omicron wave (January–March 2022)
In January 2022, after the implementation of broad vaccination programs, the Omicron wave was propagating across Europe. There was an urgent need to understand how population immunity affects the dynamics of the COVID-19 pandemic when the loss of vaccine protection was concurrent with the emergence...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011028/ https://www.ncbi.nlm.nih.gov/pubmed/36963246 http://dx.doi.org/10.1016/j.epidem.2023.100680 |
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author | Gorji, Hossein Stauffer, Noé Lunati, Ivan Caduff, Alexa Bühler, Martin Engel, Doortje Chung, Ho Ryun Loukas, Orestis Feig, Sabine Renz, Harald |
author_facet | Gorji, Hossein Stauffer, Noé Lunati, Ivan Caduff, Alexa Bühler, Martin Engel, Doortje Chung, Ho Ryun Loukas, Orestis Feig, Sabine Renz, Harald |
author_sort | Gorji, Hossein |
collection | PubMed |
description | In January 2022, after the implementation of broad vaccination programs, the Omicron wave was propagating across Europe. There was an urgent need to understand how population immunity affects the dynamics of the COVID-19 pandemic when the loss of vaccine protection was concurrent with the emergence of a new variant of concern. In particular, assessing the risk of saturation of the healthcare systems was crucial to manage the pandemic and allow a transition towards the endemic course of SARS-CoV-2 by implementing more refined mitigation strategies that shield the most vulnerable groups and protect the healthcare systems. We investigated the epidemic dynamics by means of compartmental models that describe the age-stratified social-mixing and consider vaccination status, type, and waning of the efficacy. In response to the acute situation, our model aimed at (i) providing insight into the plausible scenarios that were likely to occur in Switzerland and Germany in the midst of the Omicron wave, (ii) informing public health authorities, and (iii) helping take informed decisions to minimize negative consequences of the pandemic. Despite the unprecedented numbers of new positive cases, our results suggested that, in all plausible scenarios, the wave was unlikely to create an overwhelming healthcare demand; due to the lower hospitalization rate and the effectiveness of the vaccines in preventing a severe course of the disease. This prediction came true and the healthcare systems in Switzerland and Germany were not pushed to the limit, despite the unprecedentedly large number of infections. By retrospective comparison of the model predictions with the official reported data of the epidemic dynamic, we demonstrate the ability of the model to capture the main features of the epidemic dynamic and the corresponding healthcare demand. In a broader context, our framework can be applied also to endemic scenarios, offering quantitative support for refined public health interventions in response to recurring waves of COVID-19 or other infectious diseases. |
format | Online Article Text |
id | pubmed-10011028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100110282023-03-14 Projection of healthcare demand in Germany and Switzerland urged by Omicron wave (January–March 2022) Gorji, Hossein Stauffer, Noé Lunati, Ivan Caduff, Alexa Bühler, Martin Engel, Doortje Chung, Ho Ryun Loukas, Orestis Feig, Sabine Renz, Harald Epidemics Article In January 2022, after the implementation of broad vaccination programs, the Omicron wave was propagating across Europe. There was an urgent need to understand how population immunity affects the dynamics of the COVID-19 pandemic when the loss of vaccine protection was concurrent with the emergence of a new variant of concern. In particular, assessing the risk of saturation of the healthcare systems was crucial to manage the pandemic and allow a transition towards the endemic course of SARS-CoV-2 by implementing more refined mitigation strategies that shield the most vulnerable groups and protect the healthcare systems. We investigated the epidemic dynamics by means of compartmental models that describe the age-stratified social-mixing and consider vaccination status, type, and waning of the efficacy. In response to the acute situation, our model aimed at (i) providing insight into the plausible scenarios that were likely to occur in Switzerland and Germany in the midst of the Omicron wave, (ii) informing public health authorities, and (iii) helping take informed decisions to minimize negative consequences of the pandemic. Despite the unprecedented numbers of new positive cases, our results suggested that, in all plausible scenarios, the wave was unlikely to create an overwhelming healthcare demand; due to the lower hospitalization rate and the effectiveness of the vaccines in preventing a severe course of the disease. This prediction came true and the healthcare systems in Switzerland and Germany were not pushed to the limit, despite the unprecedentedly large number of infections. By retrospective comparison of the model predictions with the official reported data of the epidemic dynamic, we demonstrate the ability of the model to capture the main features of the epidemic dynamic and the corresponding healthcare demand. In a broader context, our framework can be applied also to endemic scenarios, offering quantitative support for refined public health interventions in response to recurring waves of COVID-19 or other infectious diseases. The Author(s). Published by Elsevier B.V. 2023-06 2023-03-14 /pmc/articles/PMC10011028/ /pubmed/36963246 http://dx.doi.org/10.1016/j.epidem.2023.100680 Text en © 2023 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Gorji, Hossein Stauffer, Noé Lunati, Ivan Caduff, Alexa Bühler, Martin Engel, Doortje Chung, Ho Ryun Loukas, Orestis Feig, Sabine Renz, Harald Projection of healthcare demand in Germany and Switzerland urged by Omicron wave (January–March 2022) |
title | Projection of healthcare demand in Germany and Switzerland urged by Omicron wave (January–March 2022) |
title_full | Projection of healthcare demand in Germany and Switzerland urged by Omicron wave (January–March 2022) |
title_fullStr | Projection of healthcare demand in Germany and Switzerland urged by Omicron wave (January–March 2022) |
title_full_unstemmed | Projection of healthcare demand in Germany and Switzerland urged by Omicron wave (January–March 2022) |
title_short | Projection of healthcare demand in Germany and Switzerland urged by Omicron wave (January–March 2022) |
title_sort | projection of healthcare demand in germany and switzerland urged by omicron wave (january–march 2022) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011028/ https://www.ncbi.nlm.nih.gov/pubmed/36963246 http://dx.doi.org/10.1016/j.epidem.2023.100680 |
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