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Projecting the Combined Health Care Burden of Seasonal Influenza and COVID-19 in the 2020–2021 Season

Background. In mid-2020, there was significant concern that the overlapping 2020–2021 influenza season and COVID-19 pandemic would overwhelm already stressed health care systems in the Northern Hemisphere, particularly if influenza immunization rates were low. Methods. Using a mathematical susceptib...

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Autores principales: Du, Zhanwei, Fox, Spencer J., Ingle, Tanvi, Pignone, Michael P., Meyers, Lauren Ancel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915218/
https://www.ncbi.nlm.nih.gov/pubmed/35281551
http://dx.doi.org/10.1177/23814683221084631
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author Du, Zhanwei
Fox, Spencer J.
Ingle, Tanvi
Pignone, Michael P.
Meyers, Lauren Ancel
author_facet Du, Zhanwei
Fox, Spencer J.
Ingle, Tanvi
Pignone, Michael P.
Meyers, Lauren Ancel
author_sort Du, Zhanwei
collection PubMed
description Background. In mid-2020, there was significant concern that the overlapping 2020–2021 influenza season and COVID-19 pandemic would overwhelm already stressed health care systems in the Northern Hemisphere, particularly if influenza immunization rates were low. Methods. Using a mathematical susceptible-exposed-infected-recovered (SEIR) compartmental model incorporating the age-specific viral transmission rates and disease severity of Austin, Texas, a large metropolitan region, we projected the incidence and health care burden for both COVID-19 and influenza across observed levels of SARS-CoV-2 transmission and influenza immunization rates for the 2020–2021 season. We then retrospectively compared scenario projections made in August 2020 with observed trends through June 2021. Results. Across all scenarios, we projected that the COVID-19 burden would dwarf that of influenza. In all but our lowest transmission scenarios, intensive care units were overwhelmed by COVID-19 patients, with the levels of influenza immunization having little impact on health care capacity needs. Consistent with our projections, sustained nonpharmaceutical interventions (NPIs) in Austin prevented COVID-19 from overwhelming health care systems and almost completely suppressed influenza during the 2020–2021 respiratory virus season. Limitations. The model assumed no cross-immunity between SARS-CoV-2 and influenza, which might reduce the burden or slow the transmission of 1 or both viruses. Conclusion. Before the widespread rollout of the SARS-CoV-2 vaccine, COVID-19 was projected to cause an order of magnitude more hospitalizations than seasonal influenza because of its higher transmissibility and severity. Consistent with predictions assuming strong NPIs, COVID-19 strained but did not overwhelm local health care systems in Austin, while the influenza burden was negligible. Implications. Nonspecific NPI efforts can dramatically reduce seasonal influenza burden and preserve health care capacity during respiratory virus season. HIGHLIGHTS: As the COVID-19 pandemic threatened lives worldwide, the Northern Hemisphere braced for a potential “twindemic” of seasonal influenza and COVID-19. Using a validated mathematical model of influenza and SARS-CoV-2 co-circulation in a large US city, we projected the impact of COVID-19–driven nonpharmaceutical interventions combined with influenza vaccination on health care capacity during the 2020–2021 respiratory virus season. We describe analyses conducted during summer 2020 to help US cities prepare for the 2020–2021 influenza season and provide a retrospective evaluation of the initial projections.
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spelling pubmed-89152182022-03-12 Projecting the Combined Health Care Burden of Seasonal Influenza and COVID-19 in the 2020–2021 Season Du, Zhanwei Fox, Spencer J. Ingle, Tanvi Pignone, Michael P. Meyers, Lauren Ancel MDM Policy Pract Society for Medical Decision Making COVID-19 Decision Modeling Initiative Background. In mid-2020, there was significant concern that the overlapping 2020–2021 influenza season and COVID-19 pandemic would overwhelm already stressed health care systems in the Northern Hemisphere, particularly if influenza immunization rates were low. Methods. Using a mathematical susceptible-exposed-infected-recovered (SEIR) compartmental model incorporating the age-specific viral transmission rates and disease severity of Austin, Texas, a large metropolitan region, we projected the incidence and health care burden for both COVID-19 and influenza across observed levels of SARS-CoV-2 transmission and influenza immunization rates for the 2020–2021 season. We then retrospectively compared scenario projections made in August 2020 with observed trends through June 2021. Results. Across all scenarios, we projected that the COVID-19 burden would dwarf that of influenza. In all but our lowest transmission scenarios, intensive care units were overwhelmed by COVID-19 patients, with the levels of influenza immunization having little impact on health care capacity needs. Consistent with our projections, sustained nonpharmaceutical interventions (NPIs) in Austin prevented COVID-19 from overwhelming health care systems and almost completely suppressed influenza during the 2020–2021 respiratory virus season. Limitations. The model assumed no cross-immunity between SARS-CoV-2 and influenza, which might reduce the burden or slow the transmission of 1 or both viruses. Conclusion. Before the widespread rollout of the SARS-CoV-2 vaccine, COVID-19 was projected to cause an order of magnitude more hospitalizations than seasonal influenza because of its higher transmissibility and severity. Consistent with predictions assuming strong NPIs, COVID-19 strained but did not overwhelm local health care systems in Austin, while the influenza burden was negligible. Implications. Nonspecific NPI efforts can dramatically reduce seasonal influenza burden and preserve health care capacity during respiratory virus season. HIGHLIGHTS: As the COVID-19 pandemic threatened lives worldwide, the Northern Hemisphere braced for a potential “twindemic” of seasonal influenza and COVID-19. Using a validated mathematical model of influenza and SARS-CoV-2 co-circulation in a large US city, we projected the impact of COVID-19–driven nonpharmaceutical interventions combined with influenza vaccination on health care capacity during the 2020–2021 respiratory virus season. We describe analyses conducted during summer 2020 to help US cities prepare for the 2020–2021 influenza season and provide a retrospective evaluation of the initial projections. SAGE Publications 2022-03-08 /pmc/articles/PMC8915218/ /pubmed/35281551 http://dx.doi.org/10.1177/23814683221084631 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Society for Medical Decision Making COVID-19 Decision Modeling Initiative
Du, Zhanwei
Fox, Spencer J.
Ingle, Tanvi
Pignone, Michael P.
Meyers, Lauren Ancel
Projecting the Combined Health Care Burden of Seasonal Influenza and COVID-19 in the 2020–2021 Season
title Projecting the Combined Health Care Burden of Seasonal Influenza and COVID-19 in the 2020–2021 Season
title_full Projecting the Combined Health Care Burden of Seasonal Influenza and COVID-19 in the 2020–2021 Season
title_fullStr Projecting the Combined Health Care Burden of Seasonal Influenza and COVID-19 in the 2020–2021 Season
title_full_unstemmed Projecting the Combined Health Care Burden of Seasonal Influenza and COVID-19 in the 2020–2021 Season
title_short Projecting the Combined Health Care Burden of Seasonal Influenza and COVID-19 in the 2020–2021 Season
title_sort projecting the combined health care burden of seasonal influenza and covid-19 in the 2020–2021 season
topic Society for Medical Decision Making COVID-19 Decision Modeling Initiative
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915218/
https://www.ncbi.nlm.nih.gov/pubmed/35281551
http://dx.doi.org/10.1177/23814683221084631
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