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Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2

As in past pandemics, co-circulating pathogens may play a role in the epidemiology of coronavirus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In particular, experimental evidence indicates that influenza infection can up-regulate the exp...

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Autores principales: Domenech de Cellès, Matthieu, Casalegno, Jean-Sebastien, Lina, Bruno, Opatowski, Lulla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647717/
https://www.ncbi.nlm.nih.gov/pubmed/34950537
http://dx.doi.org/10.7717/peerj.12566
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author Domenech de Cellès, Matthieu
Casalegno, Jean-Sebastien
Lina, Bruno
Opatowski, Lulla
author_facet Domenech de Cellès, Matthieu
Casalegno, Jean-Sebastien
Lina, Bruno
Opatowski, Lulla
author_sort Domenech de Cellès, Matthieu
collection PubMed
description As in past pandemics, co-circulating pathogens may play a role in the epidemiology of coronavirus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In particular, experimental evidence indicates that influenza infection can up-regulate the expression of ACE2—the receptor of SARS-CoV-2 in human cells—and facilitate SARS-CoV-2 infection. Here we hypothesized that influenza impacted the epidemiology of SARS-CoV-2 during the early 2020 epidemic of COVID-19 in Europe. To test this hypothesis, we developed a population-based model of SARS-CoV-2 transmission and of COVID-19 mortality, which simultaneously incorporated the impact of non-pharmaceutical control measures and of influenza on the epidemiological dynamics of SARS-CoV-2. Using statistical inference methods based on iterated filtering, we confronted this model with mortality incidence data in four European countries (Belgium, Italy, Norway, and Spain) to systematically test a range of assumptions about the impact of influenza. We found consistent evidence for a 1.8–3.4-fold (uncertainty range across countries: 1.1 to 5.0) average population-level increase in SARS-CoV-2 transmission associated with influenza during the period of co-circulation. These estimates remained robust to a variety of alternative assumptions regarding the epidemiological traits of SARS-CoV-2 and the modeled impact of control measures. Although further confirmatory evidence is required, our results suggest that influenza could facilitate the spread and hamper effective control of SARS-CoV-2. More generally, they highlight the possible role of co-circulating pathogens in the epidemiology of COVID-19.
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spelling pubmed-86477172021-12-22 Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2 Domenech de Cellès, Matthieu Casalegno, Jean-Sebastien Lina, Bruno Opatowski, Lulla PeerJ Mathematical Biology As in past pandemics, co-circulating pathogens may play a role in the epidemiology of coronavirus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In particular, experimental evidence indicates that influenza infection can up-regulate the expression of ACE2—the receptor of SARS-CoV-2 in human cells—and facilitate SARS-CoV-2 infection. Here we hypothesized that influenza impacted the epidemiology of SARS-CoV-2 during the early 2020 epidemic of COVID-19 in Europe. To test this hypothesis, we developed a population-based model of SARS-CoV-2 transmission and of COVID-19 mortality, which simultaneously incorporated the impact of non-pharmaceutical control measures and of influenza on the epidemiological dynamics of SARS-CoV-2. Using statistical inference methods based on iterated filtering, we confronted this model with mortality incidence data in four European countries (Belgium, Italy, Norway, and Spain) to systematically test a range of assumptions about the impact of influenza. We found consistent evidence for a 1.8–3.4-fold (uncertainty range across countries: 1.1 to 5.0) average population-level increase in SARS-CoV-2 transmission associated with influenza during the period of co-circulation. These estimates remained robust to a variety of alternative assumptions regarding the epidemiological traits of SARS-CoV-2 and the modeled impact of control measures. Although further confirmatory evidence is required, our results suggest that influenza could facilitate the spread and hamper effective control of SARS-CoV-2. More generally, they highlight the possible role of co-circulating pathogens in the epidemiology of COVID-19. PeerJ Inc. 2021-12-03 /pmc/articles/PMC8647717/ /pubmed/34950537 http://dx.doi.org/10.7717/peerj.12566 Text en ©2021 Domenech de Cellès et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Mathematical Biology
Domenech de Cellès, Matthieu
Casalegno, Jean-Sebastien
Lina, Bruno
Opatowski, Lulla
Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2
title Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2
title_full Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2
title_fullStr Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2
title_full_unstemmed Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2
title_short Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2
title_sort estimating the impact of influenza on the epidemiological dynamics of sars-cov-2
topic Mathematical Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647717/
https://www.ncbi.nlm.nih.gov/pubmed/34950537
http://dx.doi.org/10.7717/peerj.12566
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