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Integrating the landscape epidemiology and genetics of RNA viruses: rabies in domestic dogs as a model
Landscape epidemiology and landscape genetics combine advances in molecular techniques, spatial analyses and epidemiological models to generate a more real-world understanding of infectious disease dynamics and provide powerful new tools for the study of RNA viruses. Using dog rabies as a model we h...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526958/ https://www.ncbi.nlm.nih.gov/pubmed/22814380 http://dx.doi.org/10.1017/S003118201200090X |
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author | BRUNKER, K. HAMPSON, K. HORTON, D. L. BIEK, R. |
author_facet | BRUNKER, K. HAMPSON, K. HORTON, D. L. BIEK, R. |
author_sort | BRUNKER, K. |
collection | PubMed |
description | Landscape epidemiology and landscape genetics combine advances in molecular techniques, spatial analyses and epidemiological models to generate a more real-world understanding of infectious disease dynamics and provide powerful new tools for the study of RNA viruses. Using dog rabies as a model we have identified how key questions regarding viral spread and persistence can be addressed using a combination of these techniques. In contrast to wildlife rabies, investigations into the landscape epidemiology of domestic dog rabies requires more detailed assessment of the role of humans in disease spread, including the incorporation of anthropogenic landscape features, human movements and socio-cultural factors into spatial models. In particular, identifying and quantifying the influence of anthropogenic features on pathogen spread and measuring the permeability of dispersal barriers are important considerations for planning control strategies, and may differ according to cultural, social and geographical variation across countries or continents. Challenges for dog rabies research include the development of metapopulation models and transmission networks using genetic information to uncover potential source/sink dynamics and identify the main routes of viral dissemination. Information generated from a landscape genetics approach will facilitate spatially strategic control programmes that accommodate for heterogeneities in the landscape and therefore utilise resources in the most cost-effective way. This can include the efficient placement of vaccine barriers, surveillance points and adaptive management for large-scale control programmes. |
format | Online Article Text |
id | pubmed-3526958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35269582013-01-09 Integrating the landscape epidemiology and genetics of RNA viruses: rabies in domestic dogs as a model BRUNKER, K. HAMPSON, K. HORTON, D. L. BIEK, R. Parasitology Research Article Landscape epidemiology and landscape genetics combine advances in molecular techniques, spatial analyses and epidemiological models to generate a more real-world understanding of infectious disease dynamics and provide powerful new tools for the study of RNA viruses. Using dog rabies as a model we have identified how key questions regarding viral spread and persistence can be addressed using a combination of these techniques. In contrast to wildlife rabies, investigations into the landscape epidemiology of domestic dog rabies requires more detailed assessment of the role of humans in disease spread, including the incorporation of anthropogenic landscape features, human movements and socio-cultural factors into spatial models. In particular, identifying and quantifying the influence of anthropogenic features on pathogen spread and measuring the permeability of dispersal barriers are important considerations for planning control strategies, and may differ according to cultural, social and geographical variation across countries or continents. Challenges for dog rabies research include the development of metapopulation models and transmission networks using genetic information to uncover potential source/sink dynamics and identify the main routes of viral dissemination. Information generated from a landscape genetics approach will facilitate spatially strategic control programmes that accommodate for heterogeneities in the landscape and therefore utilise resources in the most cost-effective way. This can include the efficient placement of vaccine barriers, surveillance points and adaptive management for large-scale control programmes. Cambridge University Press 2012-12 2012-07-20 /pmc/articles/PMC3526958/ /pubmed/22814380 http://dx.doi.org/10.1017/S003118201200090X Text en Copyright © Cambridge University Press 2012 The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike licence <http://creativecommons.org/licenses/by-nc-sa/2.5/>. The written permission of Cambridge University Press must be obtained for commercial re-use. |
spellingShingle | Research Article BRUNKER, K. HAMPSON, K. HORTON, D. L. BIEK, R. Integrating the landscape epidemiology and genetics of RNA viruses: rabies in domestic dogs as a model |
title | Integrating the landscape epidemiology and genetics of RNA viruses: rabies in domestic dogs as a model |
title_full | Integrating the landscape epidemiology and genetics of RNA viruses: rabies in domestic dogs as a model |
title_fullStr | Integrating the landscape epidemiology and genetics of RNA viruses: rabies in domestic dogs as a model |
title_full_unstemmed | Integrating the landscape epidemiology and genetics of RNA viruses: rabies in domestic dogs as a model |
title_short | Integrating the landscape epidemiology and genetics of RNA viruses: rabies in domestic dogs as a model |
title_sort | integrating the landscape epidemiology and genetics of rna viruses: rabies in domestic dogs as a model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526958/ https://www.ncbi.nlm.nih.gov/pubmed/22814380 http://dx.doi.org/10.1017/S003118201200090X |
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