Individual and temporal variation in pathogen load predicts long-term impacts of an emerging infectious disease.

Wells, Konstans; Hamede, Rodrigo K; Jones, Menna E; Hohenlohe, Paul A; Storfer, Andrew; McCallum, Hamish I

Wells, Konstans; Hamede, Rodrigo K; Jones, Menna E; Hohenlohe, Paul A; Storfer, Andrew; McCallum, Hamish I.

Afiliação

Wells K; Department of Biosciences, Swansea University, Singleton Campus, Wallace Building, Swansea, SA2 8PP, United Kingdom.
Hamede RK; Environmental Futures Research Institute, Griffith University, Brisbane, Queensland, 4111, Australia.
Jones ME; School of Biological Sciences, University of Tasmania, Hobart, Tasmania, 7001, Australia.
Hohenlohe PA; School of Biological Sciences, University of Tasmania, Hobart, Tasmania, 7001, Australia.
Storfer A; Department of Biological Sciences, Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, Idaho, 83844, USA.
McCallum HI; School of Biological Sciences, Washington State University, Pullman, Washington, 99164-4236, USA.

Ecology ; 100(3): e02613, 2019 03.

Article em En | MEDLINE | ID: mdl-30636287

Assuntos

Doenças Transmissíveis Emergentes; Neoplasias Faciais/epidemiologia; Marsupiais; Animais; Teorema de Bayes; Humanos; Estudos Retrospectivos

Palavras-chave

Tasmanian devil; disease burden; long-periodicity oscillation; population viability; transmissible cancer; wildlife health

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Faciais / Doenças Transmissíveis Emergentes / Marsupiais Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Ecology Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido

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