Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Krauland, Mary G., Galloway, David D., Raviotta, Jonathan M., Zimmerman, Richard K., Roberts, Mark S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal of Preventive Medicine. Published by Elsevier Inc. 2022
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
_version_ 1784655776577486848
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
work_keys_str_mv AT kraulandmaryg impactoflowratesofinfluenzaonnextseasoninfluenzainfections
AT gallowaydavidd impactoflowratesofinfluenzaonnextseasoninfluenzainfections
AT raviottajonathanm impactoflowratesofinfluenzaonnextseasoninfluenzainfections
AT zimmermanrichardk impactoflowratesofinfluenzaonnextseasoninfluenzainfections
AT robertsmarks impactoflowratesofinfluenzaonnextseasoninfluenzainfections