Multi-scale immunoepidemiological modeling of within-host and between-host HIV dynamics: systematic review of mathematical models
Objective The 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. Backgrou...
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| Format: | Article |
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PeerJ Inc.
2017-09-01
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| Online Access: | https://peerj.com/articles/3877.pdf |
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| author | Nargesalsadat Dorratoltaj Ryan Nikin-Beers Stanca M. Ciupe Stephen G. Eubank Kaja M. Abbas |
| author_facet | Nargesalsadat Dorratoltaj Ryan Nikin-Beers Stanca M. Ciupe Stephen G. Eubank Kaja M. Abbas |
| author_sort | Nargesalsadat Dorratoltaj |
| collection | DOAJ |
| description | Objective The 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. Background While 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. Methods We 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. Results HIV 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. Conclusion HIV 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. |
| first_indexed | 2024-03-09T06:21:59Z |
| format | Article |
| id | doaj.art-892796930a59489190660b079e8b30c7 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T06:21:59Z |
| publishDate | 2017-09-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-892796930a59489190660b079e8b30c72023-12-03T11:34:38ZengPeerJ Inc.PeerJ2167-83592017-09-015e387710.7717/peerj.3877Multi-scale immunoepidemiological modeling of within-host and between-host HIV dynamics: systematic review of mathematical modelsNargesalsadat Dorratoltaj0Ryan Nikin-Beers1Stanca M. Ciupe2Stephen G. Eubank3Kaja M. Abbas4Department of Population Health Sciences, Virginia Tech, Blacksburg, United States of AmericaDepartment of Mathematics, Virginia Tech, Blacksburg, United States of AmericaDepartment of Mathematics, Virginia Tech, Blacksburg, United States of AmericaBiocomplexity Institute, Virginia Tech, Blacksburg, United States of AmericaDepartment of Population Health Sciences, Virginia Tech, Blacksburg, United States of AmericaObjective The 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. Background While 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. Methods We 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. Results HIV 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. Conclusion HIV 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.https://peerj.com/articles/3877.pdfSuper infectionCo-infectionHIV acquisition and transmissionEvolutionImmunoepidemiologyMulti-scale model |
| spellingShingle | Nargesalsadat Dorratoltaj Ryan Nikin-Beers Stanca M. Ciupe Stephen G. Eubank Kaja M. Abbas Multi-scale immunoepidemiological modeling of within-host and between-host HIV dynamics: systematic review of mathematical models PeerJ Super infection Co-infection HIV acquisition and transmission Evolution Immunoepidemiology Multi-scale model |
| title | Multi-scale immunoepidemiological modeling of within-host and between-host HIV dynamics: systematic review of mathematical models |
| title_full | Multi-scale immunoepidemiological modeling of within-host and between-host HIV dynamics: systematic review of mathematical models |
| title_fullStr | Multi-scale immunoepidemiological modeling of within-host and between-host HIV dynamics: systematic review of mathematical models |
| title_full_unstemmed | Multi-scale immunoepidemiological modeling of within-host and between-host HIV dynamics: systematic review of mathematical models |
| title_short | Multi-scale immunoepidemiological modeling of within-host and between-host HIV dynamics: systematic review of mathematical models |
| title_sort | multi scale immunoepidemiological modeling of within host and between host hiv dynamics systematic review of mathematical models |
| topic | Super infection Co-infection HIV acquisition and transmission Evolution Immunoepidemiology Multi-scale model |
| url | https://peerj.com/articles/3877.pdf |
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