ArticleFrontiers in microbiology2022
Epidemiological Consequences of Viral Interference: A Mathematical Modeling Study of Two Interacting Viruses.
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
21 citing papers in PubMed, 32 citations in OpenAlex.
- Leveraging perturbations to infer the population dynamics of human rhinovirus and interaction of influenza A virus.PLoS computational biology · 2026Article
- Temporal Dynamics of Innate Immune Activation and Viral Interference During Sequential Co-Infection with Influenza A Virus and SARS-CoV-2: Molecular Mechanisms, Clinical Evidence, and Therapeutic Implications.International journal of molecular sciences · 2026Review
- Delineating RSV-A and RSV-B: Epidemiological Patterns, Diagnostics, Clinical Severity, and Preventive Approaches.Journal of medical virology · 2026Review
- Leveraging perturbations to infer the population dynamics of human rhinovirus and interaction of influenza A virus.medRxiv : the preprint server for health sciences · 2026Article
- Article
- Modelling behavioural changes and vaccination in the transmission of respiratory viruses with co-infection.Journal of mathematical biology · 2025Article
- The Role of Mathematical Modelling in Predicting and Controlling Infectious Disease Outbreaks in Underserved Settings: A Systematic Review and Meta-Analysis.Public health challenges · 2025Review
- Unraveling the role of viral interference in disrupting biennial RSV epidemics in northern Stockholm.Nature communications · 2025Article
- The Role of Viral Interference in Shaping RSV Epidemics Following the 2009 H1N1 Influenza Pandemic.Influenza and other respiratory viruses · 2025Article
- Disruption of seasonal influenza circulation and evolution during the 2009 H1N1 and COVID-19 pandemics in Southeastern Asia.Nature communications · 2025Article
- Article
- Origins of the problematic E in SEIR epidemic models.Infectious Disease Modelling · 2024Article
- Wastewater Surveillance to Confirm Differences in Influenza A Infection between Michigan, USA, and Ontario, Canada, September 2022-March 2023.Emerging infectious diseases · 2024Article
- Respiratory Viral Coinfections: Insights into Epidemiology, Immune Response, Pathology, and Clinical Outcomes.Pathogens (Basel, Switzerland) · 2024Review
- Influenza and COVID-19 co-infection and vaccine effectiveness against severe cases: a mathematical modeling study.Frontiers in cellular and infection microbiology · 2024Article
- Lifting COVID-19-associated non-pharmaceutical interventions: potential impact on notifications of infectious diseases transmitted from person to person in 2022 in Bavaria, Germany.Frontiers in public health · 2024Article
- Article
- Exploring the Possible Phenomenon of Viral Interference Between the Novel Coronavirus and Common Respiratory Viruses.Journal of patient-centered research and reviews · 2023Article
- Clinical Performance Evaluation of the NeuMoDx Flu A-B/RSV/SARS-CoV-2 Vantage Assay.Diagnostics (Basel, Switzerland) · 2022Article
- Preparing for uncertainty: endemic paediatric viral illnesses after COVID-19 pandemic disruption.Lancet (London, England) · 2022Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Some viruses have the ability to block or suppress growth of other viruses when simultaneously present in the same host. This type of viral interference or viral block has been suggested as a potential interaction between some respiratory viruses including SARS-CoV-2 and other co-circulating respiratory viruses. We explore how one virus' ability to block infection with another within a single host affects spread of the viruses within a susceptible population using a compartmental epidemiological model. We find that population-level effect of viral block is a decrease in the number of people infected with the suppressed virus. This effect is most pronounced when the viruses have similar epidemiological parameters. We use the model to simulate co-circulating epidemics of SARS-CoV-2 and influenza, respiratory syncytial virus (RSV), and rhinovirus, finding that co-circulation of SARS-CoV-2 and RSV causes the most suppression of SARS-CoV-2. Paradoxically, co-circulation of SARS-CoV-2 and influenza or rhinovirus results in almost no change in the SARS-CoV-2 epidemic, but causes a shift in the timing of the influenza and rhinovirus epidemics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.