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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.
  • Krauland MG; Department of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; Public Health Dynamics Laboratory, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: mgk8@pitt.edu.
  • Galloway DD; Public Health Dynamics Laboratory, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Raviotta JM; Department of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Zimmerman RK; Department of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Roberts MS; Department of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; Public Health Dynamics Laboratory, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Am J Prev Med ; 62(4): 503-510, 2022 04.
Article in English | MEDLINE | ID: covidwho-1704724
ABSTRACT

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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Influenza Vaccines / Influenza, Human / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Child / Child, preschool / Humans Language: English Journal: Am J Prev Med Journal subject: Public Health Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Influenza Vaccines / Influenza, Human / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Child / Child, preschool / Humans Language: English Journal: Am J Prev Med Journal subject: Public Health Year: 2022 Document Type: Article