Rethinking COVID-19 seasonality: A summer respiratory virus in the tropics, contrast to influenza
Year: 2026
Type: article
Abstract: This opinion challenges the conventional view that coronavirus disease 2019 behaves as a uniformly winter-dominant respiratory infection. Analysis of multi-year surveillance data across hemispheres reveals that severe acute respiratory syndrome coronavirus-2 exhibits seasonal divergence, with consistent summer surges in tropical regions, such as India, and winter peaks in temperate climates. We propose that this pattern arises primarily from human (host) behavioural responses to multi-animal tropism to climatic (environment) extremes, which recreate high-risk indoor transmission settings under both heat and cold. Unlike influenza, severe acute respiratory syndrome coronavirus-2 (agent) combines thermal resilience, broad tissue tropism, and efficient pre-symptomatic transmission, allowing persistence beyond classical winter bounds. Recognizing coronavirus disease 2019 as a behaviourally modulated (through agent-host-environment triad) seasonal virus may help tailor regional surveillance, ventilation, and vaccination strategies in an era of accelerating climatic change.
Source: World Journal of Virology
Authors: Prasan Kumar Panda, Rahul Garg
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
Funders: Bill and Melinda Gates Foundation, Univerzita Karlova v Praze, UK Research and Innovation, DeepMind, National Institute for Health Research Health Protection Research Unit, Cancer Research UK, National Institute for Health and Care Research, Imperial College London, Imperial College Healthcare NHS Trust, University of Oxford, European Commission, Novo Nordisk, Foreign, Commonwealth and Development Office, Medical Research Council, Engineering and Physical Sciences Research Council
Awards: G2347075150, G2366428187, MRC Centre for Global Infectious Disease Analysis, G3112244512, G3122335838, G31554954, G3166327464, G3363401584, G3644606522, G393184570, G4336306655, G4926557987, G49701852, Multiresolution predictive dynamics of COVID-19 risk and intervention effects, EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems, UKRI Centre for Doctoral Training in Interactive Artificial Intelligence, G6452394617, G6554525099, G8537180282
OpenAlex ID: W7135168358
