ArticleMicrobiology spectrum2023
Statistical Analysis of Common Respiratory Viruses Reveals the Binary of Virus-Virus Interaction.
Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 13 citations in OpenAlex.
- Epidemiology ofEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026Article
- Long-term sero-epidemiological trends of Nine respiratory pathogens in a predominantly pediatric population in Southwest China: a multicenter retrospective study (2019-2023).BMC infectious diseases · 2026Article
- Epidemiological Characteristics and Co-Detection Patterns of Rhinovirus (A/B/C) and Influenza A Virus in a Regional Respiratory Cohort in Hunan, China.The clinical respiratory journal · 2026Article
- Interaction analysis of non-bacterial respiratory pathogens during and after the coronavirus disease 2019 pandemic in two cities along the eastern coast of China.Pediatric investigation · 2026Article
- Using COVID-19 pandemic perturbation to model RSV-hMPV interactions and potential implications under RSV interventions.Nature communications · 2025Article
- Epidemiological characteristics of acute respiratory infectious diseases in the first year after COVID-19 pandemic in Guangdong Province, China.Respiratory research · 2025Article
- Influenza A virus interferes with respiratory syncytial virus in mice and reconstituted human airway epithelium.Microbiology spectrum · 2025Article
- Population-level respiratory virus-virus interactions, Puerto Rico, 2013-2023.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025Article
- Enteroviruses Activate Cellular Innate Immune Responses Prior to Adaptive Immunity and Tropism Contributes to Severe Viral Pathogenesis.Microorganisms · 2025Review
- Clinical characterisation of human metapneumovirus infection in 525 patients with respiratory tract infections in Jilin province.Frontiers in cellular and infection microbiology · 2025Article
- Article
- Intensity and drivers of subtypes interference between seasonal influenza viruses in mainland China: A modeling study.iScience · 2024Article
- Interactions among acute respiratory viruses in Beijing, Chongqing, Guangzhou, and Shanghai, China, 2009-2019.Influenza and other respiratory viruses · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Respiratory viruses may interfere with each other and affect the epidemic trend of the virus. However, the understanding of the interactions between respiratory viruses at the population level is still very limited. We here conducted a prospective laboratory-based etiological study by enrolling 14,426 patients suffered from acute respiratory infection (ARI) in Beijing, China during 2005 to 2015. All 18 respiratory viruses were simultaneously tested for each nasal and throat swabs collected from enrolled patients using molecular tests. The virus correlations were quantitatively evaluated, and the respiratory viruses could be divided into two panels according to the positive and negative correlations. One included influenza viruses (IFVs) A, B, and respiratory syncytial virus (RSV), while the other included human parainfluenza viruses (HPIVs) 1/3, 2/4, adenovirus (Adv), human metapneumovirus (hMPV), and enterovirus (including rhinovirus, named picoRNA), α and β human coronaviruses (HCoVs). The viruses were positive-correlated in each panel, while negative-correlated between panels. After adjusting the confounding factors by vector autoregressive model, positive interaction between IFV-A and RSV and negative interaction between IFV-A and picoRNA are still be observed. The asynchronous interference of IFV-A significantly delayed the peak of β human coronaviruses epidemic. The binary property of the respiratory virus interactions provides new insights into the viral epidemic dynamics in human population, facilitating the development of infectious disease control and prevention strategies.
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