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Impact of Low Rates of Influenza on Next-Season Influenza Infections
INTRODUCTION: Interventions to curb the spread of COVID-19 during the 2020–2021 influenza season essentially eliminated influenza during that season. Given waning antibody titers over time, future residual population immunity against influenza will be reduced. The implication for the subsequent 2021...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal of Preventive Medicine. Published by Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866158/ https://www.ncbi.nlm.nih.gov/pubmed/35305778 http://dx.doi.org/10.1016/j.amepre.2021.11.007 |
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author | Krauland, Mary G. Galloway, David D. Raviotta, Jonathan M. Zimmerman, Richard K. Roberts, Mark S. |
author_facet | Krauland, Mary G. Galloway, David D. Raviotta, Jonathan M. Zimmerman, Richard K. Roberts, Mark S. |
author_sort | Krauland, Mary G. |
collection | PubMed |
description | INTRODUCTION: Interventions to curb the spread of COVID-19 during the 2020–2021 influenza season essentially eliminated influenza during that season. Given waning antibody titers over time, future residual population immunity against influenza will be reduced. The implication for the subsequent 2021–2022 influenza season is unknown. METHODS: An agent-based model of influenza implemented in the Framework for Reconstructing Epidemiological Dynamics simulation platform was used to estimate cases and hospitalizations over 2 successive influenza seasons. The impact of reduced residual immunity owing to protective measures in the first season was estimated over varying levels of similarity (cross-immunity) between influenza strains over the seasons. RESULTS: When cross-immunity between first- and second-season strains was low, a decreased first season had limited impact on second-season cases. High levels of cross-immunity resulted in a greater impact on the second season. This impact was modified by the transmissibility of strains in the 2 seasons. The model estimated a possible increase of 13.52%–46.95% in cases relative to that in a normal season when strains have the same transmissibility and 40%–50% cross-immunity in a season after a very low one. CONCLUSIONS: Given the light 2020–2021 influenza season, cases may increase by as much as 50% in 2021–2022, although the increase could be much less, depending on cross-immunity from past infection and transmissibility of strains. Enhanced vaccine coverage or continued interventions to reduce transmission could reduce this high season. Young children may have a higher risk in 2021–2022 owing to limited exposure to infection in the previous year. |
format | Online Article Text |
id | pubmed-8866158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Journal of Preventive Medicine. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88661582022-02-24 Impact of Low Rates of Influenza on Next-Season Influenza Infections Krauland, Mary G. Galloway, David D. Raviotta, Jonathan M. Zimmerman, Richard K. Roberts, Mark S. Am J Prev Med Research Article INTRODUCTION: Interventions to curb the spread of COVID-19 during the 2020–2021 influenza season essentially eliminated influenza during that season. Given waning antibody titers over time, future residual population immunity against influenza will be reduced. The implication for the subsequent 2021–2022 influenza season is unknown. METHODS: An agent-based model of influenza implemented in the Framework for Reconstructing Epidemiological Dynamics simulation platform was used to estimate cases and hospitalizations over 2 successive influenza seasons. The impact of reduced residual immunity owing to protective measures in the first season was estimated over varying levels of similarity (cross-immunity) between influenza strains over the seasons. RESULTS: When cross-immunity between first- and second-season strains was low, a decreased first season had limited impact on second-season cases. High levels of cross-immunity resulted in a greater impact on the second season. This impact was modified by the transmissibility of strains in the 2 seasons. The model estimated a possible increase of 13.52%–46.95% in cases relative to that in a normal season when strains have the same transmissibility and 40%–50% cross-immunity in a season after a very low one. CONCLUSIONS: Given the light 2020–2021 influenza season, cases may increase by as much as 50% in 2021–2022, although the increase could be much less, depending on cross-immunity from past infection and transmissibility of strains. Enhanced vaccine coverage or continued interventions to reduce transmission could reduce this high season. Young children may have a higher risk in 2021–2022 owing to limited exposure to infection in the previous year. American Journal of Preventive Medicine. Published by Elsevier Inc. 2022-04 2022-02-24 /pmc/articles/PMC8866158/ /pubmed/35305778 http://dx.doi.org/10.1016/j.amepre.2021.11.007 Text en © 2021 American Journal of Preventive Medicine. Published by Elsevier Inc. 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 | Research Article Krauland, Mary G. Galloway, David D. Raviotta, Jonathan M. Zimmerman, Richard K. Roberts, Mark S. Impact of Low Rates of Influenza on Next-Season Influenza Infections |
title | Impact of Low Rates of Influenza on Next-Season Influenza Infections |
title_full | Impact of Low Rates of Influenza on Next-Season Influenza Infections |
title_fullStr | Impact of Low Rates of Influenza on Next-Season Influenza Infections |
title_full_unstemmed | Impact of Low Rates of Influenza on Next-Season Influenza Infections |
title_short | Impact of Low Rates of Influenza on Next-Season Influenza Infections |
title_sort | impact of low rates of influenza on next-season influenza infections |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866158/ https://www.ncbi.nlm.nih.gov/pubmed/35305778 http://dx.doi.org/10.1016/j.amepre.2021.11.007 |
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