Mapping avian influenza transmission risk at the interface of domestic poultry and wild birds
Emergence of avian influenza viruses with high lethality to humans, such as the currently circulating highly pathogenic A(H5N1) (emerged in 1996) and A(H7N9) cause serious concern for the global economic and public health sectors. Understanding the spatial and temporal interface between wild and do...
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doaj-fbac6af4490247da87c695bfaea853662020-11-24T21:21:07ZengFrontiers Media S.A.Frontiers in Public Health2296-25652013-08-01110.3389/fpubh.2013.0002856291Mapping avian influenza transmission risk at the interface of domestic poultry and wild birdsDiann eProsser0Diann eProsser1Laura eHungerford2R. Michael Erwin3R. Michael Erwin4Mary Ann eOttinger5John Y Takekawa6Erle eEllis7USGS Patuxent Wildlife Research CenterMarine Estuarine Environmental Sciences, University of MarylandUniversity of MarylandUSGS Patuxent Wildlife Research CenterUniversity of VirginiaUniversity of MarylandUSGS Western Ecological Research CenterUniversity of Maryland Baltimore CountyEmergence of avian influenza viruses with high lethality to humans, such as the currently circulating highly pathogenic A(H5N1) (emerged in 1996) and A(H7N9) cause serious concern for the global economic and public health sectors. Understanding the spatial and temporal interface between wild and domestic populations, from which these viruses emerge, is fundamental to taking action. This information, however, is rarely considered in influenza risk models, partly due to a lack of data. We aim to identify areas of high transmission risk between domestic poultry and wild waterfowl in China, the epicenter of both viruses. Two levels of models were developed: one that predicts hotspots of novel virus emergence between domestic and wild birds, and one that incorporates H5N1 risk factors, for which input data exists. Models were produced at 1 km and 30 km spatial resolution, and two temporal seasons. Patterns of risk varied between seasons with higher risk in the northeast, central-east, and western regions of China during spring and summer, and in the central and southeastern regions during winter. Monte-Carlo uncertainty analyses indicated varying levels of model confidence, with lowest errors in the densely populated regions of eastern and southern China. Applications and limitations of the models are discussed.http://journal.frontiersin.org/Journal/10.3389/fpubh.2013.00028/fullChinaPoultryuncertaintyH5N1avian influenzaspatial modeling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Diann eProsser Diann eProsser Laura eHungerford R. Michael Erwin R. Michael Erwin Mary Ann eOttinger John Y Takekawa Erle eEllis |
spellingShingle |
Diann eProsser Diann eProsser Laura eHungerford R. Michael Erwin R. Michael Erwin Mary Ann eOttinger John Y Takekawa Erle eEllis Mapping avian influenza transmission risk at the interface of domestic poultry and wild birds Frontiers in Public Health China Poultry uncertainty H5N1 avian influenza spatial modeling |
author_facet |
Diann eProsser Diann eProsser Laura eHungerford R. Michael Erwin R. Michael Erwin Mary Ann eOttinger John Y Takekawa Erle eEllis |
author_sort |
Diann eProsser |
title |
Mapping avian influenza transmission risk at the interface of domestic poultry and wild birds |
title_short |
Mapping avian influenza transmission risk at the interface of domestic poultry and wild birds |
title_full |
Mapping avian influenza transmission risk at the interface of domestic poultry and wild birds |
title_fullStr |
Mapping avian influenza transmission risk at the interface of domestic poultry and wild birds |
title_full_unstemmed |
Mapping avian influenza transmission risk at the interface of domestic poultry and wild birds |
title_sort |
mapping avian influenza transmission risk at the interface of domestic poultry and wild birds |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Public Health |
issn |
2296-2565 |
publishDate |
2013-08-01 |
description |
Emergence of avian influenza viruses with high lethality to humans, such as the currently circulating highly pathogenic A(H5N1) (emerged in 1996) and A(H7N9) cause serious concern for the global economic and public health sectors. Understanding the spatial and temporal interface between wild and domestic populations, from which these viruses emerge, is fundamental to taking action. This information, however, is rarely considered in influenza risk models, partly due to a lack of data. We aim to identify areas of high transmission risk between domestic poultry and wild waterfowl in China, the epicenter of both viruses. Two levels of models were developed: one that predicts hotspots of novel virus emergence between domestic and wild birds, and one that incorporates H5N1 risk factors, for which input data exists. Models were produced at 1 km and 30 km spatial resolution, and two temporal seasons. Patterns of risk varied between seasons with higher risk in the northeast, central-east, and western regions of China during spring and summer, and in the central and southeastern regions during winter. Monte-Carlo uncertainty analyses indicated varying levels of model confidence, with lowest errors in the densely populated regions of eastern and southern China. Applications and limitations of the models are discussed. |
topic |
China Poultry uncertainty H5N1 avian influenza spatial modeling |
url |
http://journal.frontiersin.org/Journal/10.3389/fpubh.2013.00028/full |
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