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Modelling infectious diseases with relapse: a case study of HSV-2

BACKGROUND: Herpes Simplex Virus Type 2 (HSV-2) is one of the most common sexually transmitted diseases. Although there is still no licensed vaccine for HSV-2, a theoretical investigation of the potential effects of a vaccine is considered important and has recently been conducted by several researc...

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Autores principales: Wang, Jinliang, Yu, Xiaoqing, Tessmer, Heidi L., Kuniya, Toshikazu, Omori, Ryosuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5512781/
https://www.ncbi.nlm.nih.gov/pubmed/28716140
http://dx.doi.org/10.1186/s12976-017-0059-4
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author Wang, Jinliang
Yu, Xiaoqing
Tessmer, Heidi L.
Kuniya, Toshikazu
Omori, Ryosuke
author_facet Wang, Jinliang
Yu, Xiaoqing
Tessmer, Heidi L.
Kuniya, Toshikazu
Omori, Ryosuke
author_sort Wang, Jinliang
collection PubMed
description BACKGROUND: Herpes Simplex Virus Type 2 (HSV-2) is one of the most common sexually transmitted diseases. Although there is still no licensed vaccine for HSV-2, a theoretical investigation of the potential effects of a vaccine is considered important and has recently been conducted by several researchers. Although compartmental mathematical models were considered for each special case in the previous studies, as yet there are few global stability results. RESULTS: In this paper, we formulate a multi-group SVIRI epidemic model for HSV-2, which enables us to consider the effects of vaccination, of waning vaccine immunity, and of infection relapse. Since the number of groups is arbitrary, our model can be applied to various structures such as risk, sex, and age group structures. For our model, we define the basic reproduction number ℜ(0) and prove that if ℜ(0)≤1, then the disease-free equilibrium is globally asymptotically stable, whereas if ℜ(0)>1, then the endemic equilibrium is so. Based on this global stability result, we estimate ℜ(0) for HSV-2 by applying our model to the risk group structure and using US data from 2001 to 2014. Through sensitivity analysis, we find that ℜ(0) is approximately in the range of 2-3. Moreover, using the estimated parameters, we discuss the optimal vaccination strategy for the eradication of HSV-2. CONCLUSIONS: Through discussion of the optimal vaccination strategy, we come to the following conclusions. (1) Improving vaccine efficacy is more effective than increasing the number of vaccines. (2) Although the transmission risk in female individuals is higher than that in male individuals, distributing the available vaccines almost equally between female and male individuals is more effective than concentrating them within the female population.
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spelling pubmed-55127812017-07-19 Modelling infectious diseases with relapse: a case study of HSV-2 Wang, Jinliang Yu, Xiaoqing Tessmer, Heidi L. Kuniya, Toshikazu Omori, Ryosuke Theor Biol Med Model Research BACKGROUND: Herpes Simplex Virus Type 2 (HSV-2) is one of the most common sexually transmitted diseases. Although there is still no licensed vaccine for HSV-2, a theoretical investigation of the potential effects of a vaccine is considered important and has recently been conducted by several researchers. Although compartmental mathematical models were considered for each special case in the previous studies, as yet there are few global stability results. RESULTS: In this paper, we formulate a multi-group SVIRI epidemic model for HSV-2, which enables us to consider the effects of vaccination, of waning vaccine immunity, and of infection relapse. Since the number of groups is arbitrary, our model can be applied to various structures such as risk, sex, and age group structures. For our model, we define the basic reproduction number ℜ(0) and prove that if ℜ(0)≤1, then the disease-free equilibrium is globally asymptotically stable, whereas if ℜ(0)>1, then the endemic equilibrium is so. Based on this global stability result, we estimate ℜ(0) for HSV-2 by applying our model to the risk group structure and using US data from 2001 to 2014. Through sensitivity analysis, we find that ℜ(0) is approximately in the range of 2-3. Moreover, using the estimated parameters, we discuss the optimal vaccination strategy for the eradication of HSV-2. CONCLUSIONS: Through discussion of the optimal vaccination strategy, we come to the following conclusions. (1) Improving vaccine efficacy is more effective than increasing the number of vaccines. (2) Although the transmission risk in female individuals is higher than that in male individuals, distributing the available vaccines almost equally between female and male individuals is more effective than concentrating them within the female population. BioMed Central 2017-07-17 /pmc/articles/PMC5512781/ /pubmed/28716140 http://dx.doi.org/10.1186/s12976-017-0059-4 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Wang, Jinliang
Yu, Xiaoqing
Tessmer, Heidi L.
Kuniya, Toshikazu
Omori, Ryosuke
Modelling infectious diseases with relapse: a case study of HSV-2
title Modelling infectious diseases with relapse: a case study of HSV-2
title_full Modelling infectious diseases with relapse: a case study of HSV-2
title_fullStr Modelling infectious diseases with relapse: a case study of HSV-2
title_full_unstemmed Modelling infectious diseases with relapse: a case study of HSV-2
title_short Modelling infectious diseases with relapse: a case study of HSV-2
title_sort modelling infectious diseases with relapse: a case study of hsv-2
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5512781/
https://www.ncbi.nlm.nih.gov/pubmed/28716140
http://dx.doi.org/10.1186/s12976-017-0059-4
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