Cargando…
Inferring Plasmodium vivax Transmission Networks from Tempo-Spatial Surveillance Data
BACKGROUND: The transmission networks of Plasmodium vivax characterize how the parasite transmits from one location to another, which are informative and insightful for public health policy makers to accurately predict the patterns of its geographical spread. However, such networks are not apparent...
Autores principales: | Shi, Benyun, Liu, Jiming, Zhou, Xiao-Nong, Yang, Guo-Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3916251/ https://www.ncbi.nlm.nih.gov/pubmed/24516684 http://dx.doi.org/10.1371/journal.pntd.0002682 |
Ejemplares similares
-
Mining geographic variations of Plasmodium vivax for active surveillance: a case study in China
por: Shi, Benyun, et al.
Publicado: (2015) -
Inferring the Spatio-temporal Patterns of Dengue Transmission from Surveillance Data in Guangzhou, China
por: Zhu, Guanghu, et al.
Publicado: (2016) -
Inference and prediction of malaria transmission dynamics using time series data
por: Shi, Benyun, et al.
Publicado: (2020) -
Inferring the potential risks of H7N9 infection by spatiotemporally characterizing bird migration and poultry distribution in eastern China
por: Shi, Benyun, et al.
Publicado: (2013) -
Research priorities in modeling the transmission risks of H7N9 bird flu
por: Wiwanitkit, Viroj, et al.
Publicado: (2013)