Cargando…
A Predictive Risk Model for A(H7N9) Human Infections Based on Spatial-Temporal Autocorrelation and Risk Factors: China, 2013–2014
This study investigated the spatial distribution, spatial autocorrelation, temporal cluster, spatial-temporal autocorrelation and probable risk factors of H7N9 outbreaks in humans from March 2013 to December 2014 in China. The results showed that the epidemic spread with significant spatial-temporal...
Autores principales: | Dong, Wen, Yang, Kun, Xu, Quan-Li, Yang, Yu-Lian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690917/ https://www.ncbi.nlm.nih.gov/pubmed/26633446 http://dx.doi.org/10.3390/ijerph121214981 |
Ejemplares similares
-
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) -
Transmission Potential of Influenza A(H7N9) Virus, China, 2013–2014
por: Kucharski, Adam J., et al.
Publicado: (2015) -
Increased spatial and temporal autocorrelation of temperature under climate change
por: Di Cecco, Grace J., et al.
Publicado: (2018) -
Avian Influenza A(H7N9) Virus Antibodies in Close Contacts of Infected Persons, China, 2013–2014
por: Ma, Mai-Juan, et al.
Publicado: (2015) -
Spatial Autocorrelation and Temporal Convergence of PM(2.5) Concentrations in Chinese Cities
por: Wang, Huan, et al.
Publicado: (2022)