Cargando…
Identifying spatio-temporal patterns of transboundary disease spread: examples using avian influenza H5N1 outbreaks
Characterizing spatio-temporal patterns among epidemics in which the mechanism of spread is uncertain is important for generating disease spread hypotheses, which may in turn inform disease control and prevention strategies. Using a dataset representing three phases of highly pathogenic avian influe...
Autores principales: | Farnsworth, Matthew L., Ward, Michael P. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
EDP Sciences
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2695035/ https://www.ncbi.nlm.nih.gov/pubmed/19210952 http://dx.doi.org/10.1051/vetres/2009003 |
Ejemplares similares
-
Spatio-temporal patterns of highly pathogenic avian influenza virus subtype H5N8 spread, France, 2016 to 2017
por: Guinat, Claire, et al.
Publicado: (2018) -
Spatio-Temporal Analysis of Highly Pathogenic Avian Influenza outbreaks in Ghana.
por: Dsani, Esther N.
Publicado: (2019) -
Spatio-Temporal Magnitude and Direction of Highly Pathogenic Avian Influenza (H5N1) Outbreaks in Bangladesh
por: Ahmed, Syed S. U., et al.
Publicado: (2011) -
Spatio-Temporal Data Comparisons for Global Highly Pathogenic Avian Influenza (HPAI) H5N1 Outbreaks
por: Zhang, Zhijie, et al.
Publicado: (2010) -
Spatio-temporal pattern analysis for evaluation of the spread of human infections with avian influenza A(H7N9) virus in China, 2013–2014
por: Dong, Wen, et al.
Publicado: (2017)