Data from: As the duck flies: estimating the dispersal of low-pathogenic avian influenza viruses by migrating mallards

Citation
van Toor ML, Ottosson U, van der Meer T, van Hoorn S, Waldenström J. 2018. Data from: As the duck flies: estimating the dispersal of low-pathogenic avian influenza viruses by migrating mallards. Movebank Data Repository. https://doi.org/10.5441/001/1.3fv21n7m
Abstract
Many pathogens rely on the mobility of their hosts for dispersal. In order to understand and predict how a disease can rapidly sweep across entire continents, illuminating the contributions of host movements to disease spread is pivotal. While elegant proposals have been made to elucidate the spread of human infectious diseases, the direct observation of long-distance dispersal events of animal pathogens is challenging. Pathogens like avian influenza A viruses, causing only short disease in their animal hosts, have proven exceptionally hard to study. Here, we integrate comprehensive data on population and disease dynamics for low-pathogenic avian influenza viruses in one of their main hosts, the mallard, with a novel movement model trained from empirical, high-resolution tracks of mallard migrations. This allowed us to simulate individual mallard migrations from a key stopover site in the Baltic Sea for the entire population and link these movements to infection simulations. Using this novel approach, we were able to estimate the dispersal of low-pathogenic avian influenza viruses by migrating mallards throughout several autumn migratory seasons and predicted areas that are at risk of importing these viruses. We found that mallards are competent vectors and on average dispersed viruses over distances of 160 km in just three hours. Surprisingly, our simulations suggest that such dispersal events are rare even throughout the entire autumn migratory season. Our approach directly combines simulated population-level movements with local infection dynamics and offers a potential converging point for movement and disease ecology.
Keywords
Anas acuta,Anas platyrhynchos,Anas platyrhynchos,animal movement,animal tracking,avian influenza virus,avian migration,bio-logging,biotelemetry,dabbling duck,duck,mallard,Ottenby Bird Observatory,pintail,virus dispersal
Taxa
Taxon
Anas acuta
Northern Pintail
Taxon
Anas platyrhynchos
Mallard
Sensors
Sensor
GPS
Related Workflows
DOIs of related Publications
BibTex
@misc{001/1_3fv21n7m,
  title = {Data from: As the duck flies: estimating the dispersal of low-pathogenic avian influenza viruses by migrating mallards},
  author = {van, Toor, ML and Ottosson, U and van, der, Meer, T and van, Hoorn, S and Waldenström, J},
  year = {2018},
  URL = {http://dx.doi.org/10.5441/001/1.3fv21n7m},
  doi = {doi:10.5441/001/1.3fv21n7m},
  publisher = {Movebank data repository}
}
RIS
TY  - DATA
ID  - doi:10.5441/001/1.3fv21n7m
T1  - Data from: As the duck flies: estimating the dispersal of low-pathogenic avian influenza viruses by migrating mallards
AU  - van Toor, Mariëlle L.
AU  - Ottosson, Ulf
AU  - van der Meer, Tim
AU  - van Hoorn, Sita
AU  - Waldenström, Jonas
Y1  - 2018/11/26
KW  - Anas acuta
KW  - Anas acuta
KW  - Anas platyrhynchos
KW  - Anas platyrhynchos
KW  - animal movement
KW  - animal tracking
KW  - avian influenza virus
KW  - avian migration
KW  - bio-logging
KW  - biotelemetry
KW  - dabbling duck
KW  - duck
KW  - mallard
KW  - Ottenby Bird Observatory
KW  - pintail
KW  - virus dispersal
KW  - Anas acuta
KW  - Anas platyrhynchos
PB  - Movebank data repository
UR  - http://dx.doi.org/10.5441/001/1.3fv21n7m
DO  - doi:10.5441/001/1.3fv21n7m
ER  -