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Flying Over an Infected Landscape: Distribution of Highly Pathogenic Avian Influenza H5N1 Risk in South Asia and Satellite Tracking of Wild Waterfowl
by
Natsagdorj, Tseveenmayadag
, Hogerwerf, Lenny
, Mundkur, Taej
, Prosser, Diann J
, Subba Rao, Mandava Venkata
, Loth, Leo
, Takekawa, John Y
, Xing, Zhi
, Gilbert, Marius
, Newman, Scott H
, Xiao, Xiangming
, Hou, Yuansheng
, Slingenbergh, Jan
, Biradar, Chandrashekhar
, Batbayar, Nyambayar
, Yan, Baoping
, Balachandran, Sivananinthaperumal
in
Algorithms
/ Animal Ecology
/ Animal Migration
/ Animal populations
/ Animals
/ Aquatic birds
/ Asia, Southeastern - epidemiology
/ Avian flu
/ avian influenza
/ Bangladesh
/ Bangladesh - epidemiology
/ Bird migration
/ Birds
/ Central Asia
/ chickens
/ China
/ China - epidemiology
/ Disease Outbreaks
/ Disease Vectors
/ Ducks
/ Ecosystems
/ Environmental Health
/ Environmental Health - methods
/ Environmental Health - statistics & numerical data
/ Epidemiology
/ flight
/ geese
/ human population
/ Human populations
/ Humans
/ India
/ India - epidemiology
/ Influenza A virus
/ Influenza A Virus, H5N1 Subtype
/ Influenza A Virus, H5N1 Subtype - isolation & purification
/ Influenza in Birds
/ Influenza in Birds - epidemiology
/ Influenza in Birds - transmission
/ Influenza, Human
/ Influenza, Human - epidemiology
/ Influenza, Human - transmission
/ instrumentation
/ isolation & purification
/ lakes
/ landscapes
/ Logistic Models
/ Medicine
/ Medicine & Public Health
/ methods
/ Microbiology
/ migratory behavior
/ Migratory birds
/ Mongolia
/ Original Contribution
/ people
/ Poultry
/ Public Health
/ Public Health Practice
/ Remote Sensing Technology
/ Remote Sensing Technology - instrumentation
/ Remote Sensing Technology - methods
/ risk
/ Risk analysis
/ Risk factors
/ Russia
/ South East Asia
/ Southeast Asia
/ Spacecraft
/ Spacecraft - instrumentation
/ statistics & numerical data
/ transmission
/ Water and Health
/ Waterfowl
/ wild birds
2010
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Flying Over an Infected Landscape: Distribution of Highly Pathogenic Avian Influenza H5N1 Risk in South Asia and Satellite Tracking of Wild Waterfowl
by
Natsagdorj, Tseveenmayadag
, Hogerwerf, Lenny
, Mundkur, Taej
, Prosser, Diann J
, Subba Rao, Mandava Venkata
, Loth, Leo
, Takekawa, John Y
, Xing, Zhi
, Gilbert, Marius
, Newman, Scott H
, Xiao, Xiangming
, Hou, Yuansheng
, Slingenbergh, Jan
, Biradar, Chandrashekhar
, Batbayar, Nyambayar
, Yan, Baoping
, Balachandran, Sivananinthaperumal
in
Algorithms
/ Animal Ecology
/ Animal Migration
/ Animal populations
/ Animals
/ Aquatic birds
/ Asia, Southeastern - epidemiology
/ Avian flu
/ avian influenza
/ Bangladesh
/ Bangladesh - epidemiology
/ Bird migration
/ Birds
/ Central Asia
/ chickens
/ China
/ China - epidemiology
/ Disease Outbreaks
/ Disease Vectors
/ Ducks
/ Ecosystems
/ Environmental Health
/ Environmental Health - methods
/ Environmental Health - statistics & numerical data
/ Epidemiology
/ flight
/ geese
/ human population
/ Human populations
/ Humans
/ India
/ India - epidemiology
/ Influenza A virus
/ Influenza A Virus, H5N1 Subtype
/ Influenza A Virus, H5N1 Subtype - isolation & purification
/ Influenza in Birds
/ Influenza in Birds - epidemiology
/ Influenza in Birds - transmission
/ Influenza, Human
/ Influenza, Human - epidemiology
/ Influenza, Human - transmission
/ instrumentation
/ isolation & purification
/ lakes
/ landscapes
/ Logistic Models
/ Medicine
/ Medicine & Public Health
/ methods
/ Microbiology
/ migratory behavior
/ Migratory birds
/ Mongolia
/ Original Contribution
/ people
/ Poultry
/ Public Health
/ Public Health Practice
/ Remote Sensing Technology
/ Remote Sensing Technology - instrumentation
/ Remote Sensing Technology - methods
/ risk
/ Risk analysis
/ Risk factors
/ Russia
/ South East Asia
/ Southeast Asia
/ Spacecraft
/ Spacecraft - instrumentation
/ statistics & numerical data
/ transmission
/ Water and Health
/ Waterfowl
/ wild birds
2010
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Flying Over an Infected Landscape: Distribution of Highly Pathogenic Avian Influenza H5N1 Risk in South Asia and Satellite Tracking of Wild Waterfowl
by
Natsagdorj, Tseveenmayadag
, Hogerwerf, Lenny
, Mundkur, Taej
, Prosser, Diann J
, Subba Rao, Mandava Venkata
, Loth, Leo
, Takekawa, John Y
, Xing, Zhi
, Gilbert, Marius
, Newman, Scott H
, Xiao, Xiangming
, Hou, Yuansheng
, Slingenbergh, Jan
, Biradar, Chandrashekhar
, Batbayar, Nyambayar
, Yan, Baoping
, Balachandran, Sivananinthaperumal
in
Algorithms
/ Animal Ecology
/ Animal Migration
/ Animal populations
/ Animals
/ Aquatic birds
/ Asia, Southeastern - epidemiology
/ Avian flu
/ avian influenza
/ Bangladesh
/ Bangladesh - epidemiology
/ Bird migration
/ Birds
/ Central Asia
/ chickens
/ China
/ China - epidemiology
/ Disease Outbreaks
/ Disease Vectors
/ Ducks
/ Ecosystems
/ Environmental Health
/ Environmental Health - methods
/ Environmental Health - statistics & numerical data
/ Epidemiology
/ flight
/ geese
/ human population
/ Human populations
/ Humans
/ India
/ India - epidemiology
/ Influenza A virus
/ Influenza A Virus, H5N1 Subtype
/ Influenza A Virus, H5N1 Subtype - isolation & purification
/ Influenza in Birds
/ Influenza in Birds - epidemiology
/ Influenza in Birds - transmission
/ Influenza, Human
/ Influenza, Human - epidemiology
/ Influenza, Human - transmission
/ instrumentation
/ isolation & purification
/ lakes
/ landscapes
/ Logistic Models
/ Medicine
/ Medicine & Public Health
/ methods
/ Microbiology
/ migratory behavior
/ Migratory birds
/ Mongolia
/ Original Contribution
/ people
/ Poultry
/ Public Health
/ Public Health Practice
/ Remote Sensing Technology
/ Remote Sensing Technology - instrumentation
/ Remote Sensing Technology - methods
/ risk
/ Risk analysis
/ Risk factors
/ Russia
/ South East Asia
/ Southeast Asia
/ Spacecraft
/ Spacecraft - instrumentation
/ statistics & numerical data
/ transmission
/ Water and Health
/ Waterfowl
/ wild birds
2010
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Flying Over an Infected Landscape: Distribution of Highly Pathogenic Avian Influenza H5N1 Risk in South Asia and Satellite Tracking of Wild Waterfowl
Journal Article
Flying Over an Infected Landscape: Distribution of Highly Pathogenic Avian Influenza H5N1 Risk in South Asia and Satellite Tracking of Wild Waterfowl
2010
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Overview
Highly pathogenic avian influenza (HPAI) H5N1 virus persists in Asia, posing a threat to poultry, wild birds, and humans. Previous work in Southeast Asia demonstrated that HPAI H5N1 risk is related to domestic ducks and people. Other studies discussed the role of migratory birds in the long distance spread of HPAI H5N1. However, the interplay between local persistence and long-distance dispersal has never been studied. We expand previous geospatial risk analysis to include South and Southeast Asia, and integrate the analysis with migration data of satellite-tracked wild waterfowl along the Central Asia flyway. We find that the population of domestic duck is the main factor delineating areas at risk of HPAI H5N1 spread in domestic poultry in South Asia, and that other risk factors, such as human population and chicken density, are associated with HPAI H5N1 risk within those areas. We also find that satellite tracked birds (Ruddy Shelduck and two Bar-headed Geese) reveal a direct spatio-temporal link between the HPAI H5N1 hot-spots identified in India and Bangladesh through our risk model, and the wild bird outbreaks in May–June–July 2009 in China (Qinghai Lake), Mongolia, and Russia. This suggests that the continental-scale dynamics of HPAI H5N1 are structured as a number of persistence areas delineated by domestic ducks, connected by rare transmission through migratory waterfowl.
Publisher
Springer-Verlag,Springer Nature B.V
Subject
/ Animals
/ Asia, Southeastern - epidemiology
/ Birds
/ chickens
/ China
/ Ducks
/ Environmental Health - methods
/ Environmental Health - statistics & numerical data
/ flight
/ geese
/ Humans
/ India
/ Influenza A Virus, H5N1 Subtype
/ Influenza A Virus, H5N1 Subtype - isolation & purification
/ Influenza in Birds - epidemiology
/ Influenza in Birds - transmission
/ Influenza, Human - epidemiology
/ Influenza, Human - transmission
/ lakes
/ Medicine
/ methods
/ Mongolia
/ people
/ Poultry
/ Remote Sensing Technology - instrumentation
/ Remote Sensing Technology - methods
/ risk
/ Russia
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