ArticleNature communications2024
Characterizing the interactions between influenza and respiratory syncytial viruses and their implications for epidemic control.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- The limitations of non-mechanistic methods for characterizing pathogen-pathogen interactions: A simulation study.PLoS computational biology · 2026Article
- Double trouble: how co- and superinfections shape viral dynamics and host responses.Journal of virology · 2026Review
- Diagnosis of Respiratory Infections Using Syndromic Panels: A Ct-Based Approach Beyond Qualitative Detection.Microorganisms · 2026Article
- Innate airway responses shape permissiveness to human respiratory syncytial virus.Virus research · 2026Article
- Infection History Shapes Co-Epidemic Dynamics: A Transmission Source-Pathway Decomposition for COVID-19 and Influenza.Microorganisms · 2026Article
- Structural and temporal dynamics of pediatric influenza prevention and treatment: a comprehensive bibliometric analysis of historical evolution and emerging trends.Translational pediatrics · 2026Article
- Interactions of SARS-CoV-2, influenza and respiratory syncytial virus influence epidemic timing and risk.Communications medicine · 2026Article
- Epidemiological characteristics of six respiratory pathogens in respiratory infections in Fuzhou, China.Respiratory research · 2026Article
- Disruption of winter influenza activity in Wuxi, China during and after the COVID-19 pandemic (2013-2025): a counterfactual time-series analysis.Frontiers in public health · 2026Article
- Analysis of influenza surveillance results in Sichuan Province in China, 2023-2025.Frontiers in medicine · 2026Article
- A multi-omics case-control study identifying oropharyngeal microbiome-metabolite patterns that characterize secondary bacterial pneumonia among influenza patients.Frontiers in microbiology · 2026Article
- Impact of RSV Infection in Transplant and Immunocompromised Population: Incidence and Co-Infections: Retrospective Analysis of a Single Centre.Journal of clinical medicine · 2025Article
- The Role of Viral Interference in Shaping RSV Epidemics Following the 2009 H1N1 Influenza Pandemic.Influenza and other respiratory viruses · 2025Article
- Prospective cohort study of fatigue before and after SARS-CoV-2 infection in the Netherlands.Nature communications · 2025Article
- Impact of meteorological factors on transmission of respiratory viruses across all age groups in the hot arid climate in Qatar.Frontiers in public health · 2025Article
- Characterizing the interactions between influenza and respiratory syncytial viruses and their implications for epidemic control.Nature communications · 2024Article
- RSV vaccination as the optimal prevention strategy for older adults.Le infezioni in medicina · 2024Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pathogen-pathogen interactions represent a critical but little-understood feature of infectious disease dynamics. In particular, experimental evidence suggests that influenza virus and respiratory syncytial virus (RSV) compete with each other, such that infection with one confers temporary protection against the other. However, such interactions are challenging to study using common epidemiologic methods. Here, we use a mathematical modeling approach, in conjunction with detailed surveillance data from Hong Kong and Canada, to infer the strength and duration of the interaction between influenza and RSV. Based on our estimates, we further utilize our model to evaluate the potential conflicting effects of live attenuated influenza vaccines (LAIV) on RSV burden. We find evidence of a moderate to strong, negative, bidirectional interaction, such that infection with either virus yields 40-100% protection against infection with the other for one to five months. Assuming that LAIV reduces RSV susceptibility in a similar manner, we predict that the impact of such a vaccine at the population level would likely depend greatly on underlying viral circulation patterns. More broadly, we highlight the utility of mathematical models as a tool to characterize pathogen-pathogen interactions.
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