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Invasion and Persistence of Infectious Agents in Fragmented Host Populations
One of the important questions in understanding infectious diseases and their prevention and control is how infectious agents can invade and become endemic in a host population. A ubiquitous feature of natural populations is that they are spatially fragmented, resulting in relatively homogeneous loc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3184079/ https://www.ncbi.nlm.nih.gov/pubmed/21980339 http://dx.doi.org/10.1371/journal.pone.0024006 |
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author | Jesse, Marieke Mazzucco, Rupert Dieckmann, Ulf Heesterbeek, Hans Metz, Johan A. J. |
author_facet | Jesse, Marieke Mazzucco, Rupert Dieckmann, Ulf Heesterbeek, Hans Metz, Johan A. J. |
author_sort | Jesse, Marieke |
collection | PubMed |
description | One of the important questions in understanding infectious diseases and their prevention and control is how infectious agents can invade and become endemic in a host population. A ubiquitous feature of natural populations is that they are spatially fragmented, resulting in relatively homogeneous local populations inhabiting patches connected by the migration of hosts. Such fragmented population structures are studied extensively with metapopulation models. Being able to define and calculate an indicator for the success of invasion and persistence of an infectious agent is essential for obtaining general qualitative insights into infection dynamics, for the comparison of prevention and control scenarios, and for quantitative insights into specific systems. For homogeneous populations, the basic reproduction ratio [Image: see text] plays this role. For metapopulations, defining such an ‘invasion indicator’ is not straightforward. Some indicators have been defined for specific situations, e.g., the household reproduction number [Image: see text]. However, these existing indicators often fail to account for host demography and especially host migration. Here we show how to calculate a more broadly applicable indicator [Image: see text] for the invasion and persistence of infectious agents in a host metapopulation of equally connected patches, for a wide range of possible epidemiological models. A strong feature of our method is that it explicitly accounts for host demography and host migration. Using a simple compartmental system as an example, we illustrate how [Image: see text] can be calculated and expressed in terms of the key determinants of epidemiological dynamics. |
format | Online Article Text |
id | pubmed-3184079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-31840792011-10-06 Invasion and Persistence of Infectious Agents in Fragmented Host Populations Jesse, Marieke Mazzucco, Rupert Dieckmann, Ulf Heesterbeek, Hans Metz, Johan A. J. PLoS One Research Article One of the important questions in understanding infectious diseases and their prevention and control is how infectious agents can invade and become endemic in a host population. A ubiquitous feature of natural populations is that they are spatially fragmented, resulting in relatively homogeneous local populations inhabiting patches connected by the migration of hosts. Such fragmented population structures are studied extensively with metapopulation models. Being able to define and calculate an indicator for the success of invasion and persistence of an infectious agent is essential for obtaining general qualitative insights into infection dynamics, for the comparison of prevention and control scenarios, and for quantitative insights into specific systems. For homogeneous populations, the basic reproduction ratio [Image: see text] plays this role. For metapopulations, defining such an ‘invasion indicator’ is not straightforward. Some indicators have been defined for specific situations, e.g., the household reproduction number [Image: see text]. However, these existing indicators often fail to account for host demography and especially host migration. Here we show how to calculate a more broadly applicable indicator [Image: see text] for the invasion and persistence of infectious agents in a host metapopulation of equally connected patches, for a wide range of possible epidemiological models. A strong feature of our method is that it explicitly accounts for host demography and host migration. Using a simple compartmental system as an example, we illustrate how [Image: see text] can be calculated and expressed in terms of the key determinants of epidemiological dynamics. Public Library of Science 2011-09-30 /pmc/articles/PMC3184079/ /pubmed/21980339 http://dx.doi.org/10.1371/journal.pone.0024006 Text en Jesse et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Jesse, Marieke Mazzucco, Rupert Dieckmann, Ulf Heesterbeek, Hans Metz, Johan A. J. Invasion and Persistence of Infectious Agents in Fragmented Host Populations |
title | Invasion and Persistence of Infectious Agents in Fragmented Host Populations |
title_full | Invasion and Persistence of Infectious Agents in Fragmented Host Populations |
title_fullStr | Invasion and Persistence of Infectious Agents in Fragmented Host Populations |
title_full_unstemmed | Invasion and Persistence of Infectious Agents in Fragmented Host Populations |
title_short | Invasion and Persistence of Infectious Agents in Fragmented Host Populations |
title_sort | invasion and persistence of infectious agents in fragmented host populations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3184079/ https://www.ncbi.nlm.nih.gov/pubmed/21980339 http://dx.doi.org/10.1371/journal.pone.0024006 |
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