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Dynamical footprints enable detection of disease emergence

Developing methods for anticipating the emergence or reemergence of infectious diseases is both important and timely; however, traditional model-based approaches are stymied by uncertainty surrounding the underlying drivers. Here, we demonstrate an operational, mechanism-agnostic detection algorithm...

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Detalles Bibliográficos
Autores principales: Brett, Tobias S., Rohani, Pejman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239390/
https://www.ncbi.nlm.nih.gov/pubmed/32433658
http://dx.doi.org/10.1371/journal.pbio.3000697

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