Spatiotemporal prediction of infectious diseases using structured Gaussian processes with application to Crimean–Congo hemorrhagic fever

BACKGROUND: Infectious diseases are one of the primary healthcare problems worldwide, leading to millions of deaths annually. To develop effective control and prevention strategies, we need reliable computational tools to understand disease dynamics and to predict future cases. These computational t...

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Detalles Bibliográficos
Autores principales: Ak, Çiğdem, Ergönül, Önder, Şencan, İrfan, Torunoğlu, Mehmet Ali, Gönen, Mehmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114917/
https://www.ncbi.nlm.nih.gov/pubmed/30118497
http://dx.doi.org/10.1371/journal.pntd.0006737

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114917/
https://www.ncbi.nlm.nih.gov/pubmed/30118497
http://dx.doi.org/10.1371/journal.pntd.0006737

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