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Predicting wildlife reservoirs and global vulnerability to zoonotic Flaviviruses

Flaviviruses continue to cause globally relevant epidemics and have emerged or re-emerged in regions that were previously unaffected. Factors determining emergence of flaviviruses and continuing circulation in sylvatic cycles are incompletely understood. Here we identify potential sylvatic reservoir...

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Autores principales: Pandit, Pranav S., Doyle, Megan M., Smart, Katrina M., Young, Cristin C. W., Drape, Gaylen W., Johnson, Christine K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303316/
https://www.ncbi.nlm.nih.gov/pubmed/30575757
http://dx.doi.org/10.1038/s41467-018-07896-2
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author Pandit, Pranav S.
Doyle, Megan M.
Smart, Katrina M.
Young, Cristin C. W.
Drape, Gaylen W.
Johnson, Christine K.
author_facet Pandit, Pranav S.
Doyle, Megan M.
Smart, Katrina M.
Young, Cristin C. W.
Drape, Gaylen W.
Johnson, Christine K.
author_sort Pandit, Pranav S.
collection PubMed
description Flaviviruses continue to cause globally relevant epidemics and have emerged or re-emerged in regions that were previously unaffected. Factors determining emergence of flaviviruses and continuing circulation in sylvatic cycles are incompletely understood. Here we identify potential sylvatic reservoirs of flaviviruses and characterize the macro-ecological traits common to known wildlife hosts to predict the risk of sylvatic flavivirus transmission among wildlife and identify regions that could be vulnerable to outbreaks. We evaluate variability in wildlife hosts for zoonotic flaviviruses and find that flaviviruses group together in distinct clusters with similar hosts. Models incorporating ecological and climatic variables as well as life history traits shared by flaviviruses predict new host species with similar host characteristics. The combination of vector distribution data with models for flavivirus hosts allows for prediction of  global vulnerability to flaviviruses and provides potential targets for disease surveillance in animals and humans.
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spelling pubmed-63033162018-12-23 Predicting wildlife reservoirs and global vulnerability to zoonotic Flaviviruses Pandit, Pranav S. Doyle, Megan M. Smart, Katrina M. Young, Cristin C. W. Drape, Gaylen W. Johnson, Christine K. Nat Commun Article Flaviviruses continue to cause globally relevant epidemics and have emerged or re-emerged in regions that were previously unaffected. Factors determining emergence of flaviviruses and continuing circulation in sylvatic cycles are incompletely understood. Here we identify potential sylvatic reservoirs of flaviviruses and characterize the macro-ecological traits common to known wildlife hosts to predict the risk of sylvatic flavivirus transmission among wildlife and identify regions that could be vulnerable to outbreaks. We evaluate variability in wildlife hosts for zoonotic flaviviruses and find that flaviviruses group together in distinct clusters with similar hosts. Models incorporating ecological and climatic variables as well as life history traits shared by flaviviruses predict new host species with similar host characteristics. The combination of vector distribution data with models for flavivirus hosts allows for prediction of  global vulnerability to flaviviruses and provides potential targets for disease surveillance in animals and humans. Nature Publishing Group UK 2018-12-21 /pmc/articles/PMC6303316/ /pubmed/30575757 http://dx.doi.org/10.1038/s41467-018-07896-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Pandit, Pranav S.
Doyle, Megan M.
Smart, Katrina M.
Young, Cristin C. W.
Drape, Gaylen W.
Johnson, Christine K.
Predicting wildlife reservoirs and global vulnerability to zoonotic Flaviviruses
title Predicting wildlife reservoirs and global vulnerability to zoonotic Flaviviruses
title_full Predicting wildlife reservoirs and global vulnerability to zoonotic Flaviviruses
title_fullStr Predicting wildlife reservoirs and global vulnerability to zoonotic Flaviviruses
title_full_unstemmed Predicting wildlife reservoirs and global vulnerability to zoonotic Flaviviruses
title_short Predicting wildlife reservoirs and global vulnerability to zoonotic Flaviviruses
title_sort predicting wildlife reservoirs and global vulnerability to zoonotic flaviviruses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303316/
https://www.ncbi.nlm.nih.gov/pubmed/30575757
http://dx.doi.org/10.1038/s41467-018-07896-2
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