Global analysis of respiratory viral circulation and timing of epidemics in the pre-COVID-19 and COVID-19 pandemic eras, based on data from the Global Influenza Surveillance and Response System (GISRS).

COVID-19 pandemic Influenza RSV duration of epidemics epidemiology respiratory viruses timing of epidemics

Journal

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
ISSN: 1878-3511
Titre abrégé: Int J Infect Dis
Pays: Canada
ID NLM: 9610933

Informations de publication

Date de publication:
16 Apr 2024
Historique:
received: 17 01 2024
revised: 30 03 2024
accepted: 09 04 2024
medline: 19 4 2024
pubmed: 19 4 2024
entrez: 18 4 2024
Statut: aheadofprint

Résumé

The COVID-19 pandemic significantly changed respiratory viruses' epidemiology due to non-pharmaceutical interventions and possible viral interactions. This study investigates whether the circulation patterns of respiratory viruses have returned to pre-pandemic norms by comparing their peak timing and duration during the first three SARS-CoV-2 seasons to pre-pandemic times. GISRS data from 194 countries (2014-2023) was analyzed for epidemic peak timing and duration, focusing on pre-pandemic and pandemic periods across both hemispheres and the intertropical belt. Analysis was restricted to countries meeting specific data thresholds to ensure robustness. In 2022/23, the Northern hemisphere experienced earlier influenza and RSV peaks by 1.9 months (p<0.001). The duration of influenza epidemics increased by 2.2 weeks (p<0.001), with RSV showing a similar trend. The Southern hemisphere's influenza peak shift was not significant (p=0.437). Intertropical regions presented no substantial change in peak timing but experienced a significant reduction in duration for hMPV and adenovirus (7.2 and 6.5 weeks shorter, p<0.001). The pandemic altered the typical patterns of influenza and RSV, with earlier peaks in 2022 in temperate areas. These findings highlight the importance of robust surveillance data to inform public health strategies on evolving viral dynamics in the years to come.

Identifiants

pubmed: 38636684
pii: S1201-9712(24)00122-X
doi: 10.1016/j.ijid.2024.107052
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107052

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest MH and ImG are employees of CSL Seqirus and may hold shares. JP declares that Nivel has received research grants which concern the epidemiology of influenza and vaccination against influenza from WHO, Sanofi and the Foundation for Influenza Epidemiology. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Marco Del Riccio (MD)

Department of Health Sciences, University of Florence, 50134 Florence, Italy; Department of Primary and Community Care, Radboud University Medical Centre, 6500 HB Nijmegen, The Netherlands.

Saverio Caini (S)

Netherlands Institute for Health Services Research, 3513 CR Utrecht, The Netherlands. Electronic address: s.caini@nivel.nl.

Guglielmo Bonaccorsi (G)

Department of Health Sciences, University of Florence, 50134 Florence, Italy.

Chiara Lorini (C)

Department of Health Sciences, University of Florence, 50134 Florence, Italy.

John Paget (J)

Netherlands Institute for Health Services Research, 3513 CR Utrecht, The Netherlands.

Koos van der Velden (K)

Department of Primary and Community Care, Radboud University Medical Centre, 6500 HB Nijmegen, The Netherlands.

Adam Meijer (A)

National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands.

Mendel Haag (M)

CSL Seqirus, 1101 CL Amsterdam, The Netherlands.

Ian McGovern (I)

Center for Outcomes Research and Epidemiology, Seqirus Inc, Cambridge, Massachusetts, USA.

Patrizio Zanobini (P)

Department of Health Sciences, University of Florence, 50134 Florence, Italy.

Classifications MeSH