<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kent CM</submitter><funding>U.S. Department of Agriculture</funding><funding>U.S. Geological Survey</funding><pagination>13083</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9338306</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(1)</volume><pubmed_abstract>Avian influenza viruses can pose serious risks to agricultural production, human health, and wildlife. An understanding of viruses in wild reservoir species across time and space is important to informing surveillance programs, risk models, and potential population impacts for vulnerable species. Although it is recognized that influenza A virus prevalence peaks in reservoir waterfowl in late summer through autumn, temporal and spatial variation across species has not been fully characterized. We combined two large influenza databases for North America and applied spatiotemporal models to explore patterns in prevalence throughout the annual cycle and across the continental United States for 30 waterfowl species. Peaks in prevalence in late summer through autumn were pronounced for dabbling </pubmed_abstract><journal>Scientific reports</journal><pubmed_title>Spatiotemporal changes in influenza A virus prevalence among wild waterfowl inhabiting the continental United States throughout the annual cycle.</pubmed_title><pmcid>PMC9338306</pmcid><funding_grant_id>Cooperative Agreement 6000001762</funding_grant_id><pubmed_authors>Cline TD</pubmed_authors><pubmed_authors>Takekawa JY</pubmed_authors><pubmed_authors>Slemons RD</pubmed_authors><pubmed_authors>Bevins SN</pubmed_authors><pubmed_authors>Hill NJ</pubmed_authors><pubmed_authors>Poulson RL</pubmed_authors><pubmed_authors>Boyce WM</pubmed_authors><pubmed_authors>Cardona CJ</pubmed_authors><pubmed_authors>Mullinax JM</pubmed_authors><pubmed_authors>Casazza ML</pubmed_authors><pubmed_authors>Sullivan JD</pubmed_authors><pubmed_authors>Webster RG</pubmed_authors><pubmed_authors>Kent CM</pubmed_authors><pubmed_authors>Hall JS</pubmed_authors><pubmed_authors>Webby RJ</pubmed_authors><pubmed_authors>Ackerman JT</pubmed_authors><pubmed_authors>Nolting JM</pubmed_authors><pubmed_authors>Krauss S</pubmed_authors><pubmed_authors>Plancarte M</pubmed_authors><pubmed_authors>Stallknecht DE</pubmed_authors><pubmed_authors>Bahl J</pubmed_authors><pubmed_authors>Runstadler JA</pubmed_authors><pubmed_authors>Prosser DJ</pubmed_authors><pubmed_authors>E De La Cruz S</pubmed_authors><pubmed_authors>Bowman AS</pubmed_authors><pubmed_authors>Ramey AM</pubmed_authors><pubmed_authors>Ip HS</pubmed_authors></additional><is_claimable>false</is_claimable><name>Spatiotemporal changes in influenza A virus prevalence among wild waterfowl inhabiting the continental United States throughout the annual cycle.</name><description>Avian influenza viruses can pose serious risks to agricultural production, human health, and wildlife. An understanding of viruses in wild reservoir species across time and space is important to informing surveillance programs, risk models, and potential population impacts for vulnerable species. Although it is recognized that influenza A virus prevalence peaks in reservoir waterfowl in late summer through autumn, temporal and spatial variation across species has not been fully characterized. We combined two large influenza databases for North America and applied spatiotemporal models to explore patterns in prevalence throughout the annual cycle and across the continental United States for 30 waterfowl species. Peaks in prevalence in late summer through autumn were pronounced for dabbling </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Jul</publication><modification>2025-04-04T03:40:57.882Z</modification><creation>2025-04-04T03:40:57.882Z</creation></dates><accession>S-EPMC9338306</accession><cross_references><pubmed>35906292</pubmed><doi>10.1038/s41598-022-17396-5</doi></cross_references></HashMap>