ReviewPLoS pathogens2018
Influenza interaction with cocirculating pathogens and its impact on surveillance, pathogenesis, and epidemic profile: A key role for mathematical modelling.
Review in PLoS pathogens, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.
What it found
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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
83 citing papers in PubMed, 136 citations in OpenAlex.
- Leveraging perturbations to infer the population dynamics of human rhinovirus and interaction of influenza A virus.PLoS computational biology · 2026Article
- The limitations of non-mechanistic methods for characterizing pathogen-pathogen interactions: A simulation study.PLoS computational biology · 2026Article
- Spatiotemporal instability of influenza seasonality during viral co-circulation.NPJ systems biology and applications · 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
- Article
- Leveraging perturbations to infer the population dynamics of human rhinovirus and interaction of influenza A virus.medRxiv : the preprint server for health sciences · 2026Article
- Review
- A single-center, two-year, retrospective study of epidemiological characteristics of respiratory tract infections in Changzhou, China.Frontiers in public health · 2026Article
- Shifts in epidemic patterns and age dynamics of RSV, IFV, and SARS-CoV-2 in Chinese children following COVID-19 non-pharmaceutical intervention relaxation, 2017 - 2024.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Observational
- The multipathogen profiles and co-infection characteristics obtained from comprehensive surveillance of patients with acute respiratory infections in the post-COVID-19 era in Shenzhen, China.BMC infectious diseases · 2025Article
- Insights from Atangana-Baleanu fractional derivatives modeling of influenza epidemics and sensitivity analysis.Scientific reports · 2025Article
- Interactions between zoonotic pathogens and infectious disease spread: Why understanding mechanisms and modelling matters more than ever.Biosafety and health · 2025Review
- Characterizing potential interaction between respiratory syncytial virus and seasonal influenza in the U.S.Epidemics · 2025Article
- Respiratory bacterial and viral pathogen spectrum among influenza-positive and influenza-negative patients.BMC infectious diseases · 2025Article
- Epidemiological association of the COVID-19 pandemic onBMJ open · 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
- Respiratory pathogen spectrum and epidemiological trends in Hainan Province: a retrospective analysis from 2017 to 2023.BMC infectious diseases · 2025Article
- The role of viral interaction in household transmission of symptomatic influenza and respiratory syncytial virus.Nature communications · 2025Article
- Article
- Whole-genome analysis of circulating influenza A virus (H3N2) strains in Shanghai, China from 2005 to 2023.Emerging microbes & infections · 2024Article
23 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
Evidence is mounting that influenza virus interacts with other pathogens colonising or infecting the human respiratory tract. Taking into account interactions with other pathogens may be critical to determining the real influenza burden and the full impact of public health policies targeting influenza. This is particularly true for mathematical modelling studies, which have become critical in public health decision-making. Yet models usually focus on influenza virus acquisition and infection alone, thereby making broad oversimplifications of pathogen ecology. Herein, we report evidence of influenza virus interactions with bacteria and viruses and systematically review the modelling studies that have incorporated interactions. Despite the many studies examining possible associations between influenza and Streptococcus pneumoniae, Staphylococcus aureus, Haemophilus influenzae, Neisseria meningitidis, respiratory syncytial virus (RSV), human rhinoviruses, human parainfluenza viruses, etc., very few mathematical models have integrated other pathogens alongside influenza. The notable exception is the pneumococcus-influenza interaction, for which several recent modelling studies demonstrate the power of dynamic modelling as an approach to test biological hypotheses on interaction mechanisms and estimate the strength of those interactions. We explore how different interference mechanisms may lead to unexpected incidence trends and possible misinterpretation, and we illustrate the impact of interactions on public health surveillance using simple transmission models. We demonstrate that the development of multipathogen models is essential to assessing the true public health burden of influenza and that it is needed to help improve planning and evaluation of control measures. Finally, we identify the public health, surveillance, modelling, and biological challenges and propose avenues of research for the coming years.
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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.