ReviewJournal of mathematical biology2016
Capturing the dynamics of pathogens with many strains.
Review in Journal of mathematical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
37 citing papers in PubMed.
- From Trait-Structured Within-Host Dynamics to SIR Models: A Multiscale Framework With Re-Exposure.Bulletin of mathematical biology · 2026Article
- Understanding patterns of variant emergence and spread in an ongoing epidemic.medRxiv : the preprint server for health sciences · 2026Article
- Final-Size Solutions for SIRI Models with Vaccination.Bulletin of mathematical biology · 2026Article
- A multi-season epidemic model with random genetic drift and transmissibility.Journal of mathematical biology · 2025Article
- Using COVID-19 pandemic perturbation to model RSV-hMPV interactions and potential implications under RSV interventions.Nature communications · 2025Article
- Serodynamics: A primer and synthetic review of methods for epidemiological inference using serological data.Epidemics · 2024Review
- Evolutionary Invasion Analysis of Modern Epidemics Highlights the Context-Dependence of Virulence Evolution.Bulletin of mathematical biology · 2024Article
- Modeling viral evolution: A novel SIRSVIDE framework with application to SARS-CoV-2 dynamics.hLife · 2024Article
- How immune dynamics shape multi-season epidemics: a continuous-discrete model in one dimensional antigenic space.Journal of mathematical biology · 2024Article
- Key Challenges for Respiratory Virus Surveillance while Transitioning out of Acute Phase of COVID-19 Pandemic.Emerging infectious diseases · 2024Article
- The transmission mechanism theory of disease dynamics: Its aims, assumptions and limitations.Infectious Disease Modelling · 2023Article
- Modelling the impact of the Omicron BA.5 subvariant in New Zealand.Journal of the Royal Society, Interface · 2023Article
- Pathogen diversity in meta-population networks.Chaos, solitons, and fractals · 2023Article
- Exploring a COVID-19 Endemic Scenario: High-Resolution Agent-Based Modeling of Multiple Variants.Advanced theory and simulations · 2023Article
- Ecological and evolutionary dynamics of multi-strain RNA viruses.Nature ecology & evolution · 2022Review
- Considering humans as habitat reveals evidence of successional disease ecology among human pathogens.PLoS biology · 2022Article
- Immunity-induced criticality of the genotype network of influenza A (H3N2) hemagglutinin.PNAS nexus · 2022Article
- Multi-scale modelling reveals that early super-spreader events are a likely contributor to novel variant predominance.Journal of the Royal Society, Interface · 2022Article
- Evolution during primary HIV infection does not require adaptive immune selection.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Activity-driven network modeling and control of the spread of two concurrent epidemic strains.Applied network science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Pathogens that consist of multiple antigenic variants are a serious public health concern. These infections, which include dengue virus, influenza and malaria, generate substantial morbidity and mortality. However, there are considerable theoretical challenges involved in modelling such infections. As well as describing the interaction between strains that occurs as a result cross-immunity and evolution, models must balance biological realism with mathematical and computational tractability. Here we review different modelling approaches, and suggest a number of biological problems that are potential candidates for study with these methods. We provide a comprehensive outline of the benefits and disadvantages of available frameworks, and describe what biological information is preserved and lost under different modelling assumptions. We also consider the emergence of new disease strains, and discuss how models of pathogens with multiple strains could be developed further in future. This includes extending the flexibility and biological realism of current approaches, as well as interface with data.
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What OpenQuestion holds
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.