Data from: As the duck flies: estimating the dispersal of low-pathogenic avian influenza viruses by migrating mallards
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/10.5441/001/1.3fv21n7mAbstract
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
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 -