Improvement of disease prediction and modeling through the use of meteorological ensembles: human plague in Uganda.
Climate and weather influence the occurrence, distribution, and incidence of infectious diseases, particularly those caused by vector-borne or zoonotic pathogens. Thus, models based on meteorological data have helped predict when and where human cases are most likely to occur. Such knowledge aids in...
Guardado en:
Autores principales: | Sean M Moore, Andrew Monaghan, Kevin S Griffith, Titus Apangu, Paul S Mead, Rebecca J Eisen |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2012
|
Materias: | |
Acceso en línea: | https://doaj.org/article/3757f3f37a334bcc88f6d53047a39ab5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A Decade of Plague in Mahajanga, Madagascar: Insights into the Global Maritime Spread of Pandemic Plague
por: Amy J. Vogler, et al.
Publicado: (2013) -
Efficiency of Human Plague Vaccination in Tuvinian Natural Plague Focus
por: K. M. Korytov, et al.
Publicado: (2019) -
Predicting seismic-induced liquefaction through ensemble learning frameworks
por: Mohammad H. Alobaidi, et al.
Publicado: (2019) -
FOLK METEOROLOGY AND AN EXAMPLE OF METEOROLOGY: KOCAKARI HESABI
por: Recep DEMİR
Publicado: (2019) -
The whole is greater than its parts: ensembling improves protein contact prediction
por: Wendy M. Billings, et al.
Publicado: (2021)