ArticlePeerJ2017
Multi-scale immunoepidemiological modeling of within-host and between-host HIV dynamics: systematic review of mathematical models.
Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Infectious Disease Modelling of HIV Prevention Interventions: A Systematic Review and Narrative Synthesis of Compartmental Models.PharmacoEconomics · 2023Pooled it
- The contribution of community transmission to the burden of hospital-associated pathogens: A systematic scoping review of epidemiological models.One health (Amsterdam, Netherlands) · 2025Review
- The effect of model structure and data availability on Usutu virus dynamics at three biological scales.Royal Society open science · 2024Article
- Assessing potential insights of an imperfect testing strategy: Parameter estimation and practical identifiability using early COVID-19 data in India.Communications in nonlinear science & numerical simulation · 2023Article
- Quantifying Spillover Risk with an Integrated Bat-Rabies Dynamic Modeling Framework.Transboundary and emerging diseases · 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
- Article
- Testing, tracing and isolation in compartmental models.PLoS computational biology · 2021Article
- Coupling the Macroscale to the Microscale in a Spatiotemporal Context to Examine Effects of Spatial Diffusion on Disease Transmission.Bulletin of mathematical biology · 2020Article
- Linked within-host and between-host models and data for infectious diseases: a systematic review.PeerJ · 2019Article
- Diversity-Generating Machines: Genetics of Bacterial Sugar-Coating.Trends in microbiology · 2018Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveThe objective of this study is to conduct a systematic review of multi-scale HIV immunoepidemiological models to improve our understanding of the synergistic impact between the HIV viral-immune dynamics at the individual level and HIV transmission dynamics at the population level.
backgroundWhile within-host and between-host models of HIV dynamics have been well studied at a single scale, connecting the immunological and epidemiological scales through multi-scale models is an emerging method to infer the synergistic dynamics of HIV at the individual and population levels.
methodsWe reviewed nine articles using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework that focused on the synergistic dynamics of HIV immunoepidemiological models at the individual and population levels.
resultsHIV immunoepidemiological models simulate viral immune dynamics at the within-host scale and the epidemiological transmission dynamics at the between-host scale. They account for longitudinal changes in the immune viral dynamics of HIV+ individuals, and their corresponding impact on the transmission dynamics in the population. They are useful to analyze the dynamics of HIV super-infection, co-infection, drug resistance, evolution, and treatment in HIV+ individuals, and their impact on the epidemic pathways in the population. We illustrate the coupling mechanisms of the within-host and between-host scales, their mathematical implementation, and the clinical and public health problems that are appropriate for analysis using HIV immunoepidemiological models.
conclusionHIV immunoepidemiological models connect the within-host immune dynamics at the individual level and the epidemiological transmission dynamics at the population level. While multi-scale models add complexity over a single-scale model, they account for the time varying immune viral response of HIV+ individuals, and the corresponding impact on the time-varying risk of transmission of HIV+ individuals to other susceptibles in the population.
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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.