Author
Listed:
- Chenkai Zhao
(Nanjing Medical University)
- Tiantian Zhang
(Nanjing Medical University)
- Ling Guo
(Nanjing Medical University)
- Shiqi Sun
(Nanjing Medical University)
- Yumeng Miao
(Nanjing Medical University)
- Chee Fu Yung
(KK Women’s and Children’s Hospital
Duke-NUS Medical School
Nanyang Technological University)
- Jane Tomlinson
(The Royal Children’s Hospital Melbourne)
- Kirill Stolyarov
(Smorodintsev Research Institute of Influenza)
- Zakhar Shchomak
(Hospital Santa Maria, Centro Hospitalar Universitário Lisboa Norte)
- Yong Poovorawan
(Chulalongkorn University)
- David James Nokes
(KEMRI-Wellcome Trust Research Programme)
- Carmen Muñoz-Almagro
(Institut de Recerca Sant Joan de Déu-Hospital Sant Joan de Deu
CIBER Epidemiology and Public Health (CIBERESP)
Universitat Internacional de Catalunya)
- Michal Mandelboim
(Central Virology Laboratory, Ministry of Health
Tel Aviv University)
- James W. Keck
(Alaska Native Tribal Health Consortium)
- Joanne Marie Langley
(Dalhousie University
Dalhousie University)
- Terho Heikkinen
(University of Turku
Turku University Hospital)
- Jikui Deng
(Shenzhen children’s hospital)
- Philippe Colson
(IHU Méditerranée Infection
Aix-Marseille University
Assistance Publique-Hôpitaux de Marseille (AP-HM))
- Giorgi Chakhunashvili
(National Center for Disease Control and Public Health)
- Mauricio T. Caballero
(Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)
Centro Infant de Medicina de Traslacional (CIMeT), Escuela de Bio y Nanotecnología (EByN) Universidad Nacional de San Martín, San Martín)
- Louis Bont
(University Medical Center Utrecht
ReSViNET Foundation
Yale University)
- Daniel R. Feikin
(World Health Organization)
- Harish Nair
(Nanjing Medical University
University of Edinburgh)
- Xin Wang
(University of Edinburgh
Nanjing Medical University)
- You Li
(Nanjing Medical University
University of Edinburgh
Nanjing Medical University)
Abstract
The COVID-19 pandemic and relevant non-pharmaceutical interventions (NPIs) interrupted the circulation of common respiratory viruses. These viruses demonstrated an unprecedented asynchronous resurgence as NPIs were relaxed. We compiled a global dataset from a systematic review, online surveillance reports and unpublished data from Respiratory Virus Global Epidemiology Network, encompassing 92 sites. We compared the resurgence timings of respiratory viruses within each site and synthesised differences in timings across sites, using a generalised linear mixed-effects model. We revealed a distinct sequential timing in the first post-pandemic resurgence: rhinovirus resurged the earliest, followed by seasonal coronavirus, parainfluenza virus, respiratory syncytial virus, adenovirus, metapneumovirus and influenza A virus, with influenza B virus exhibiting the latest resurgence. Similar sequential timing was observed in the second resurgence except influenza A virus caught up with metapneumovirus. The consistent asynchrony across geographical regions suggests that virus-specific characteristics, rather than location-specific factors, determining the relative timing of resurgence.
Suggested Citation
Chenkai Zhao & Tiantian Zhang & Ling Guo & Shiqi Sun & Yumeng Miao & Chee Fu Yung & Jane Tomlinson & Kirill Stolyarov & Zakhar Shchomak & Yong Poovorawan & David James Nokes & Carmen Muñoz-Almagro & M, 2025.
"Characterising the asynchronous resurgence of common respiratory viruses following the COVID-19 pandemic,"
Nature Communications, Nature, vol. 16(1), pages 1-11, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56776-z
DOI: 10.1038/s41467-025-56776-z
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