Cargando…
Epidemiological Consequences of Viral Interference: A Mathematical Modeling Study of Two Interacting Viruses
Some viruses have the ability to block or suppress growth of other viruses when simultaneously present in the same host. This type of viral interference or viral block has been suggested as a potential interaction between some respiratory viruses including SARS-CoV-2 and other co-circulating respira...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966706/ https://www.ncbi.nlm.nih.gov/pubmed/35369460 http://dx.doi.org/10.3389/fmicb.2022.830423 |
_version_ | 1784678698394320896 |
---|---|
author | Pinky, Lubna Dobrovolny, Hana M. |
author_facet | Pinky, Lubna Dobrovolny, Hana M. |
author_sort | Pinky, Lubna |
collection | PubMed |
description | Some viruses have the ability to block or suppress growth of other viruses when simultaneously present in the same host. This type of viral interference or viral block has been suggested as a potential interaction between some respiratory viruses including SARS-CoV-2 and other co-circulating respiratory viruses. We explore how one virus' ability to block infection with another within a single host affects spread of the viruses within a susceptible population using a compartmental epidemiological model. We find that population-level effect of viral block is a decrease in the number of people infected with the suppressed virus. This effect is most pronounced when the viruses have similar epidemiological parameters. We use the model to simulate co-circulating epidemics of SARS-CoV-2 and influenza, respiratory syncytial virus (RSV), and rhinovirus, finding that co-circulation of SARS-CoV-2 and RSV causes the most suppression of SARS-CoV-2. Paradoxically, co-circulation of SARS-CoV-2 and influenza or rhinovirus results in almost no change in the SARS-CoV-2 epidemic, but causes a shift in the timing of the influenza and rhinovirus epidemics. |
format | Online Article Text |
id | pubmed-8966706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89667062022-03-31 Epidemiological Consequences of Viral Interference: A Mathematical Modeling Study of Two Interacting Viruses Pinky, Lubna Dobrovolny, Hana M. Front Microbiol Microbiology Some viruses have the ability to block or suppress growth of other viruses when simultaneously present in the same host. This type of viral interference or viral block has been suggested as a potential interaction between some respiratory viruses including SARS-CoV-2 and other co-circulating respiratory viruses. We explore how one virus' ability to block infection with another within a single host affects spread of the viruses within a susceptible population using a compartmental epidemiological model. We find that population-level effect of viral block is a decrease in the number of people infected with the suppressed virus. This effect is most pronounced when the viruses have similar epidemiological parameters. We use the model to simulate co-circulating epidemics of SARS-CoV-2 and influenza, respiratory syncytial virus (RSV), and rhinovirus, finding that co-circulation of SARS-CoV-2 and RSV causes the most suppression of SARS-CoV-2. Paradoxically, co-circulation of SARS-CoV-2 and influenza or rhinovirus results in almost no change in the SARS-CoV-2 epidemic, but causes a shift in the timing of the influenza and rhinovirus epidemics. Frontiers Media S.A. 2022-03-11 /pmc/articles/PMC8966706/ /pubmed/35369460 http://dx.doi.org/10.3389/fmicb.2022.830423 Text en Copyright © 2022 Pinky and Dobrovolny. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Pinky, Lubna Dobrovolny, Hana M. Epidemiological Consequences of Viral Interference: A Mathematical Modeling Study of Two Interacting Viruses |
title | Epidemiological Consequences of Viral Interference: A Mathematical Modeling Study of Two Interacting Viruses |
title_full | Epidemiological Consequences of Viral Interference: A Mathematical Modeling Study of Two Interacting Viruses |
title_fullStr | Epidemiological Consequences of Viral Interference: A Mathematical Modeling Study of Two Interacting Viruses |
title_full_unstemmed | Epidemiological Consequences of Viral Interference: A Mathematical Modeling Study of Two Interacting Viruses |
title_short | Epidemiological Consequences of Viral Interference: A Mathematical Modeling Study of Two Interacting Viruses |
title_sort | epidemiological consequences of viral interference: a mathematical modeling study of two interacting viruses |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966706/ https://www.ncbi.nlm.nih.gov/pubmed/35369460 http://dx.doi.org/10.3389/fmicb.2022.830423 |
work_keys_str_mv | AT pinkylubna epidemiologicalconsequencesofviralinterferenceamathematicalmodelingstudyoftwointeractingviruses AT dobrovolnyhanam epidemiologicalconsequencesofviralinterferenceamathematicalmodelingstudyoftwointeractingviruses |