ArticlePeerJ2019
Linked within-host and between-host models and data for infectious diseases: a systematic review.
Article in PeerJ, 2019. 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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Who cites it
21 citing papers in PubMed.
- Multiscale modelling of birth-death processes.Journal of mathematical biology · 2026Article
- From Trait-Structured Within-Host Dynamics to SIR Models: A Multiscale Framework With Re-Exposure.Bulletin of mathematical biology · 2026Article
- VIBES: A multiscale modeling approach integrating within-host and between-hosts dynamics in epidemics.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The eight pillars of within-host tuberculosis modelling.Frontiers in immunology · 2026Review
- Attenuation of HIV severity by slightly deleterious mutations can explain the long-term trajectory of virulence evolution.PLoS computational biology · 2025Article
- Host-Microbiome Interactions as Moderators of Host Quality and Biodiversity-Disease Relationships.Integrative and comparative biology · 2025Review
- Quantifying the effects of antibiotic resistance and within-host competition on strain fitness in Streptococcus pneumoniae.PLoS biology · 2025Article
- The contribution of community transmission to the burden of hospital-associated pathogens: A systematic scoping review of epidemiological models.One health (Amsterdam, Netherlands) · 2025Review
- Review
- Trade-offs shaping transmission of sylvatic dengue and Zika viruses in monkey hosts.Nature communications · 2024Article
- Quantifying the relationship between within-host dynamics and transmission for viral diseases of livestock.Journal of the Royal Society, Interface · 2024Article
- Analysis of the risk and pre-emptive control of viral outbreaks accounting for within-host dynamics: SARS-CoV-2 as a case study.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Correlation of viral loads in disease transmission could affect early estimates of the reproduction number.Journal of the Royal Society, Interface · 2023Article
- Asexual reproductive potential trumps virulence as a predictor of competitive ability in mixed infections.Environmental microbiology · 2022Article
- A Multiscale Model of COVID-19 Dynamics.Bulletin of mathematical biology · 2022Article
- Evaluating efficacy of indoor non-pharmaceutical interventions against COVID-19 outbreaks with a coupled spatial-SIR agent-based simulation framework.Scientific reports · 2022Article
- Research perspectives on animal health in the era of artificial intelligence.Veterinary research · 2021Review
- Mathematical modelling ofFood and waterborne parasitology · 2021Review
- Cross-scale dynamics and the evolutionary emergence of infectious diseases.Virus evolution · 2021Article
- A theoretical framework for transitioning from patient-level to population-scale epidemiological dynamics: influenza A as a case study.Journal of the Royal Society, Interface · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The observed dynamics of infectious diseases are driven by processes across multiple scales. Here we focus on two: within-host, that is, how an infection progresses inside a single individual (for instance viral and immune dynamics), and between-host, that is, how the infection is transmitted between multiple individuals of a host population. The dynamics of each of these may be influenced by the other, particularly across evolutionary time. Thus understanding each of these scales, and the links between them, is necessary for a holistic understanding of the spread of infectious diseases. One approach to combining these scales is through mathematical modeling. We conducted a systematic review of the published literature on multi-scale mathematical models of disease transmission (as defined by combining within-host and between-host scales) to determine the extent to which mathematical models are being used to understand across-scale transmission, and the extent to which these models are being confronted with data. Following the PRISMA guidelines for systematic reviews, we identified 24 of 197 qualifying papers across 30 years that include both linked models at the within and between host scales and that used data to parameterize/calibrate models. We find that the approach that incorporates both modeling with data is under-utilized, if increasing. This highlights the need for better communication and collaboration between modelers and empiricists to build well-calibrated models that both improve understanding and may be used for prediction.
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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.