This data release provides the predicted proportion of influenza-positive birds testing positive for H5 and H7 subtypes of IAV for each species at monthly intervals for each county centroid in the continental United States. This data supports a paired USGS publication.

This data release provides the predicted proportion of birds testing positive for IAV for each species at weekly intervals for each county centroid in the continental United States. This data supports a paired USGS publication.

These data describe the creation, execution, and results of an effort to model the risk of avian influenza transmission across the wild waterfowl - domestic poultry interface at weekly intervals for the contiguous United States.

This data layer depicts the weekly estimates of the relative risk of avian influenza transmission from wild waterfowl to domestic poultry. These data represent an early phase of ongoing model development and the inclusion of additional parameters is upcoming.

This data provides county level occurrence information for all individuals used in modelling potential exposure and spread of highly pathogenic avian influenza (HPAIv) from the 2021-2022 North American outbreak. The data set contains individual identifiers and taxa information, an indicator of exposure, exposure status (Susceptible, Exposed by HPAIv detection in the county, or Exposed by secondary contact with an exposed bird), and date of first occurrence of each individual bird and that bird's exposure status within each visited county. Herein, county refers to any county, parish, borough, census area, or geographic region identified in the associated geospatial data US_CAN_AI.shp (ESRI shapefile format). Occurrence was determined using a spatial join procedure between GPS relocations of individuals and this geospatial dataset.

This data set is comprised of four files related to the biosurveillance of low pathogenic avian influenza viruses (LPAIV) in migratory waterfowl at 20 locations in the Delmarva Peninsula in fall/winter of 2013-2014. Two files contain data related to the species, age, and AIV prevalence for all birds sampled (1 data file, 1 definitions file). The other two files contain data related to the primers and standards used in bioassays for AIVs (1 data file, 1 definitions file).

This data set is comprised of four files related to the biosurveillance of low pathogenic avian influenza viruses (LPAIV) in migratory waterfowl at 20 locations in the Delmarva Peninsula in fall/winter of 2013-2014. Two files contain data related to the species, age, and AIV prevalence for all birds sampled (1 data file, 1 definitions file). The other two files contain data related to the primers and standards used in bioassays for AIVs (1 data file, 1 definitions file).

Wild waterfowl (family Anatidae) are reported as secondary transmitters of HPAIV and primary reservoirs for low-pathogenic avian influenza viruses, yet spatial inputs for disease risk modeling for this group have been lacking. Using geographic information software and Monte Carlo simulations, we developed geospatial indices of waterfowl abundance at 1 km resolutions for the breeding and wintering seasons for China, the epicenter of H5N1. Two types of spatial layers were developed: cumulative waterfowl abundance (WAB), a measure of predicted abundance by species, and cumulative abundance weighted by H5N1 prevalence (WPR), whereby abundance for each species was adjusted based on species specific prevalence values. Spatial patterns of the model output differed between seasons, with higher WAB and WPR in the northern and western regions of China for the breeding season and in the southeast for the wintering season. Uncertainty measures indicated highest error in southeastern China for both WAB and WPR.

Wild waterfowl (family Anatidae) are reported as secondary transmitters of HPAIV and primary reservoirs for low-pathogenic avian influenza viruses, yet spatial inputs for disease risk modeling for this group have been lacking. Using geographic information software and Monte Carlo simulations, we developed geospatial indices of waterfowl abundance at 1 km resolutions for the breeding and wintering seasons for China, the epicenter of H5N1. Two types of spatial layers were developed: cumulative waterfowl abundance (WAB), a measure of predicted abundance by species, and cumulative abundance weighted by H5N1 prevalence (WPR), whereby abundance for each species was adjusted based on species specific prevalence values. Spatial patterns of the model output differed between seasons, with higher WAB and WPR in the northern and western regions of China for the breeding season and in the southeast for the wintering season. Uncertainty measures indicated highest error in southeastern China for both WAB and WPR.

This data release details the results of avian influenza sampling of dabbling ducks in Maine and Maryland. These data support an associated USGS publication.