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Ten-year projection of white-nose syndrome disease dynamics at the southern leading-edge of infection in North America.
Meierhofer, Melissa B; Lilley, Thomas M; Ruokolainen, Lasse; Johnson, Joseph S; Parratt, Steven R; Morrison, Michael L; Pierce, Brian L; Evans, Jonah W; Anttila, Jani.
Afiliação
  • Meierhofer MB; Department of Rangeland, Wildlife and Fisheries Management, Texas A&M University, 534 John Kimbrough Boulevard, College Station, TX 77843, USA.
  • Lilley TM; Natural Resources Institute, Texas A&M University, 534 John Kimbrough Boulevard, College Station, TX 77843, USA.
  • Ruokolainen L; Finnish Museum of Natural History, University of Helsinki, Pohjoinen Rautatiekatu 13, 00100 Helsinki, Finland.
  • Johnson JS; Finnish Museum of Natural History, University of Helsinki, Pohjoinen Rautatiekatu 13, 00100 Helsinki, Finland.
  • Parratt SR; Department of Biosciences, University of Helsinki, Yliopistonkatu 4, 00100 Helsinki, Finland.
  • Morrison ML; Department of Biological Sciences, Ohio University, Athens, OH 45701, USA.
  • Pierce BL; Department of Ecology and Evolution, University of Liverpool, Liverpool L69 7BE, UK.
  • Evans JW; Department of Rangeland, Wildlife and Fisheries Management, Texas A&M University, 534 John Kimbrough Boulevard, College Station, TX 77843, USA.
  • Anttila J; Natural Resources Institute, Texas A&M University, 534 John Kimbrough Boulevard, College Station, TX 77843, USA.
Proc Biol Sci ; 288(1952): 20210719, 2021 06 09.
Article em En | MEDLINE | ID: mdl-34074117
ABSTRACT
Predicting the emergence and spread of infectious diseases is critical for the effective conservation of biodiversity. White-nose syndrome (WNS), an emerging infectious disease of bats, has resulted in high mortality in eastern North America. Because the fungal causative agent Pseudogymnoascus destructans is constrained by temperature and humidity, spread dynamics may vary by geography. Environmental conditions in the southern part of the continent are different than the northeast, where disease dynamics are typically studied, making it difficult to predict how the disease will manifest. Herein, we modelled WNS pathogen spread in Texas based on cave densities and average dispersal distances of hosts, projecting these results out to 10 years. We parameterized a predictive model of WNS epidemiology and its effects on bat populations with observed cave environmental data. Our model suggests that bat populations in northern Texas will be more affected by WNS mortality than southern Texas. As such, we recommend prioritizing the preservation of large overwintering colonies of bats in north Texas through management actions. Our model illustrates that infectious disease spread and infectious disease severity can become uncoupled over a gradient of environmental variation and highlight the importance of understanding host, pathogen and environmental conditions across a breadth of environments.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Ascomicetos / Quirópteros / Doenças Transmissíveis Emergentes / Hibernação Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Revista: Proc Biol Sci Assunto da revista: BIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Ascomicetos / Quirópteros / Doenças Transmissíveis Emergentes / Hibernação Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Revista: Proc Biol Sci Assunto da revista: BIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos