#19,086
Since the introduction of the SARS-CoV-2 virus in 2020 there have been perennial concerns we could see a devastating `twin-demic' of influenza A and COVID. While some co-circulation has occurred, for the most part, each virus has peaked while the other was in retreat.
This is not a new observation; 17 years ago (during the 2009 H1N1 pandemic) some European countries that reported rampant rhinovirus outbreaks in the fall saw far less H1N1 activity than expected (see 2009 New Scientist article Common cold may hold off swine flu).While the exact mechanism behind this blocking of competing viruses is only partially understood, many researchers believe that exposure to one virus activates not only a targeted immune response - but also the body's innate immune response - essentially temporarily raising `shields' against other possible viral invaders.
Note: they did not study the reverse (and admittedly far more complex) COVID -> Flu scenario.Today we've another study from Beijing, that finds that influenza A infection briefly reduces susceptibility to COVID infection, but that protective effect lasts only about 5 weeks post infection.
They do, however, report finding a slight increase in susceptibility to IAV following COVID infection. RSV showed no impact on COVID.
Open access
Published: 14 March 2026
Interactions of SARS-CoV-2, influenza and respiratory syncytial virus influence epidemic timing and riskYonghong Liu, Xiaoli Wang, Mengyao Li, Eimear Cleary, Zhifeng Cheng, Wenbin Zhang, Ying Shen, Hui Yao, Jiatong Han, Nick W. Ruktanonchai, Andrew J. Tatem, Shengjie Lai, Quanyi Wang & Peng Yang
Communications Medicine , Article number: (2026) Cite this article
We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.
Abstract
Background
Interactions between SARS-CoV-2, influenza virus, and respiratory syncytial virus (RSV) at the population level remain poorly understood. This study aimed to quantify potential interactions among these viruses and assess their influence on transmission dynamics.
Methods
We analyzed weekly surveillance data on SARS-CoV-2, influenza A and B viruses (IAV and IBV), and RSV from seven regions from October 2021 to May 2024. Distributed lag nonlinear models within a spatiotemporal Bayesian hierarchical framework were used to assess the exposure-lag-response associations among virus pairs. Additionally, we developed a two-pathogen, meta-population mechanistic transmission model to capture the co-epidemic dynamics of IAV and SARS-CoV-2, and to quantify the strength and duration of their bidirectional interactions.
Results
Among all virus pairs examined, a statistically significant association is identified only between IAV positivity and subsequent SARS-CoV-2 risk. When IAV positive rate percentile is between the 52nd and 88th percentiles, the relative risk (RR) of SARS-CoV-2 infection is significantly reduced. The lowest RR for SARS-CoV-2 (0.58, 95% CrI: 0.40-0.85) occurs at a 5-week lag when IAV positivity reaches the 70th percentile.
The fitted mechanistic model using incidence data in Beijing shows that IAV infection substantially reduces infection to SARS-CoV-2 by 94.24% (95% CrI: 88.50%–99.24%), with the protective effect lasting 38.24 days (95% CrI: 35.50–41.29 days). Conversely, SARS-CoV-2 infection is associated with a slight increase in infection to IAV.
Conclusions
Our findings indicate that IAV circulation may transiently reduce population-level infection to SARS-CoV-2, potential through ecological or immunological mechanisms.
Plain language summary
This study looks at how three common respiratory viruses - SARS-CoV-2, influenza, and RSV, which cause COVID-19, flu and common colds - affect one another when they spread in communities. We used two complementary approaches: advanced statistical model, which identify patterns in real-world data, and mechanistic transmission model, which simulates how viruses spread from person to person. Together, these methods allowed us to measure how strong these interactions are and how long their effects last.The data came from three years of virus activity across seven countries and regions, providing us a broad view across time and places. We found that increases in flu activity, especially influenza A, may reduce the risk of COVID-19 spread in the weeks that follow. However, these virus interactions are complex. They change over time and depend on how much of each virus is circulating.This means that viruses do not spread in isolation, and one can potentially influence the timing and size of another epidemic. Our study shows why it is important to consider interactions between viruses when forecasting future outbreaks and planning public health interventions, especially since many respiratory viruses tend to circulate at the same time of year.
In 2017's PLoS Comp. Bio.: Spring & Early Summer Most Likely Time For A Pandemic, researchers used `viral interference' and/or temporary immunity to help explain why pandemics typically emerge in the spring or early summer; after the end of regular flu season.
Of course, COVID was an exception to this pattern, as it emerged in mid-winter in China and spread globally in a matter of weeks.
All of which is a reminder that while these viruses don't act in a vacuum, there is still much we don't know about how they may impact one another, or any new ones that may appear in the future.
