ReviewImmunological reviews2018
Host-pathogen kinetics during influenza infection and coinfection: insights from predictive modeling.
Review in Immunological reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed.
- Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control.Proceedings of the National Academy of Sciences of the United States of America · 2021Trial
- Ordinary differential equation models of SARS-CoV-2 replication dynamics and antiviral drug efficacies.Npj viruses · 2026Review
- A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models.Bulletin of mathematical biology · 2026Article
- Molecular mechanisms of co-infections.EMBO reports · 2025Review
- Inhibition of Human Coronavirus 229E by Lactoferrin-Derived Peptidomimetics.Pharmaceutics · 2025Article
- Estimating the distribution of parameters in differential equations with repeated cross-sectional data.PLoS computational biology · 2024Article
- Mammalian adaptation risk in HPAI H5N8: a comprehensive model bridging experimental data with mathematical insights.Emerging microbes & infections · 2024Article
- In-host modeling of dengue virus and non-structural protein 1 and the effects of ivermectin in patients with acute dengue fever.CPT: pharmacometrics & systems pharmacology · 2024Article
- Quantitatively Mapping Immune Control during Influenza.Current opinion in systems biology · 2024Article
- Decoding immune kinetics: unveiling secrets using custom-built mathematical models.Nature methods · 2024Article
- How robust are estimates of key parameters in standard viral dynamic models?PLoS computational biology · 2024Article
- NIAID/SMB Workshop on Multiscale Modeling of Infectious and Immune-Mediated Diseases.Bulletin of mathematical biology · 2024Article
- Quantifying the relationship between within-host dynamics and transmission for viral diseases of livestock.Journal of the Royal Society, Interface · 2024Article
- Predicting airway immune responses and protection from immune parameters in blood following immunization in a pig influenza model.Frontiers in immunology · 2024Article
- Article
- Potential co-infection of influenza A, influenza B, respiratory syncytial virus, andFrontiers in medicine · 2023Article
- Plasma SARS-CoV-2 RNA elimination and RAGE kinetics distinguish COVID-19 severity.Clinical & translational immunology · 2023Article
- Predicting Influenza A Virus Infection in the Lung from Hematological Data with Machine Learning.mSystems · 2022Article
- Analysis of severe human adenovirus infection outbreak in Guangdong Province, southern China in 2019.Virologica Sinica · 2022Article
- Modeling suggests that multiple immunizations or infections will reveal the benefits of updating SARS-CoV-2 vaccines.bioRxiv : the preprint server for biology · 2022Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Influenza virus infections are a leading cause of morbidity and mortality worldwide. This is due in part to the continual emergence of new viral variants and to synergistic interactions with other viruses and bacteria. There is a lack of understanding about how host responses work to control the infection and how other pathogens capitalize on the altered immune state. The complexity of multi-pathogen infections makes dissecting contributing mechanisms, which may be non-linear and occur on different time scales, challenging. Fortunately, mathematical models have been able to uncover infection control mechanisms, establish regulatory feedbacks, connect mechanisms across time scales, and determine the processes that dictate different disease outcomes. These models have tested existing hypotheses and generated new hypotheses, some of which have been subsequently tested and validated in the laboratory. They have been particularly a key in studying influenza-bacteria coinfections and will be undoubtedly be useful in examining the interplay between influenza virus and other viruses. Here, I review recent advances in modeling influenza-related infections, the novel biological insight that has been gained through modeling, the importance of model-driven experimental design, and future directions of the field.
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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.