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R(0): Host Longevity Matters
The basic reproduction ratio, R(0), is a fundamental concept in epidemiology. It is defined as the total number of secondary infections brought on by a single primary infection, in a totally susceptible population. The value of R(0) indicates whether a starting epidemic reaches a considerable part o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874282/ https://www.ncbi.nlm.nih.gov/pubmed/29460099 http://dx.doi.org/10.1007/s10441-018-9315-1 |
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author | Viljoen, L. M. Hemerik, L. Molenaar, J. |
author_facet | Viljoen, L. M. Hemerik, L. Molenaar, J. |
author_sort | Viljoen, L. M. |
collection | PubMed |
description | The basic reproduction ratio, R(0), is a fundamental concept in epidemiology. It is defined as the total number of secondary infections brought on by a single primary infection, in a totally susceptible population. The value of R(0) indicates whether a starting epidemic reaches a considerable part of the population and causes a lot of damage, or whether it remains restricted to a relatively small number of individuals. To calculate R(0) one has to evaluate an integral that ranges over the duration of the infection of the host. This duration is, of course, limited by remaining host longevity. So, R(0) depends on remaining host longevity and in this paper we show that for long-lived hosts this aspect may not be ignored for long-lasting infections. We investigate in particular how this epidemiological measure of pathogen fitness depends on host longevity. For our analyses we adopt and combine a generic within- and between-host model from the literature. To find the optimal strategy for a pathogen from an evolutionary point of view, we focus on the indicator [Formula: see text] , i.e., the optimum of R(0) as a function of its replication and mutation rates. These are the within-host parameters that the pathogen has at its disposal to optimize its strategy. We show that [Formula: see text] is highly influenced by remaining host longevity in combination with the contact rate between hosts in a susceptible population. In addition, these two parameters determine whether a killer-like or a milker-like strategy is optimal for a given pathogen. In the killer-like strategy the pathogen has a high rate of reproduction within the host in a short time span causing a relatively short disease, whereas in the milker-like strategy the pathogen multiplies relatively slowly, producing a continuous small amount of offspring over time with a small effect on host health. The present research allows for the determination of a bifurcation line in the plane of host longevity versus contact rate that forms the boundary between the milker-like and killer-like regions. This plot shows that for short remaining host longevities the killer-like strategy is optimal, whereas for very long remaining host longevities the milker-like strategy is advantageous. For in-between values of host longevity, the contact rate determines which of both strategies is optimal. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10441-018-9315-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5874282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-58742822018-03-30 R(0): Host Longevity Matters Viljoen, L. M. Hemerik, L. Molenaar, J. Acta Biotheor Regular Article The basic reproduction ratio, R(0), is a fundamental concept in epidemiology. It is defined as the total number of secondary infections brought on by a single primary infection, in a totally susceptible population. The value of R(0) indicates whether a starting epidemic reaches a considerable part of the population and causes a lot of damage, or whether it remains restricted to a relatively small number of individuals. To calculate R(0) one has to evaluate an integral that ranges over the duration of the infection of the host. This duration is, of course, limited by remaining host longevity. So, R(0) depends on remaining host longevity and in this paper we show that for long-lived hosts this aspect may not be ignored for long-lasting infections. We investigate in particular how this epidemiological measure of pathogen fitness depends on host longevity. For our analyses we adopt and combine a generic within- and between-host model from the literature. To find the optimal strategy for a pathogen from an evolutionary point of view, we focus on the indicator [Formula: see text] , i.e., the optimum of R(0) as a function of its replication and mutation rates. These are the within-host parameters that the pathogen has at its disposal to optimize its strategy. We show that [Formula: see text] is highly influenced by remaining host longevity in combination with the contact rate between hosts in a susceptible population. In addition, these two parameters determine whether a killer-like or a milker-like strategy is optimal for a given pathogen. In the killer-like strategy the pathogen has a high rate of reproduction within the host in a short time span causing a relatively short disease, whereas in the milker-like strategy the pathogen multiplies relatively slowly, producing a continuous small amount of offspring over time with a small effect on host health. The present research allows for the determination of a bifurcation line in the plane of host longevity versus contact rate that forms the boundary between the milker-like and killer-like regions. This plot shows that for short remaining host longevities the killer-like strategy is optimal, whereas for very long remaining host longevities the milker-like strategy is advantageous. For in-between values of host longevity, the contact rate determines which of both strategies is optimal. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10441-018-9315-1) contains supplementary material, which is available to authorized users. Springer Netherlands 2018-02-19 2018 /pmc/articles/PMC5874282/ /pubmed/29460099 http://dx.doi.org/10.1007/s10441-018-9315-1 Text en © The Author(s) 2018 Open AccessThis 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. |
spellingShingle | Regular Article Viljoen, L. M. Hemerik, L. Molenaar, J. R(0): Host Longevity Matters |
title | R(0): Host Longevity Matters |
title_full | R(0): Host Longevity Matters |
title_fullStr | R(0): Host Longevity Matters |
title_full_unstemmed | R(0): Host Longevity Matters |
title_short | R(0): Host Longevity Matters |
title_sort | r(0): host longevity matters |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874282/ https://www.ncbi.nlm.nih.gov/pubmed/29460099 http://dx.doi.org/10.1007/s10441-018-9315-1 |
work_keys_str_mv | AT viljoenlm r0hostlongevitymatters AT hemerikl r0hostlongevitymatters AT molenaarj r0hostlongevitymatters |