Cargando…
Developing a Time Series Predictive Model for Dengue in Zhongshan, China Based on Weather and Guangzhou Dengue Surveillance Data
BACKGROUND: Dengue is a re-emerging infectious disease of humans, rapidly growing from endemic areas to dengue-free regions due to favorable conditions. In recent decades, Guangzhou has again suffered from several big outbreaks of dengue; as have its neighboring cities. This study aims to examine th...
Autores principales: | Zhang, Yingtao, Wang, Tao, Liu, Kangkang, Xia, Yao, Lu, Yi, Jing, Qinlong, Yang, Zhicong, Hu, Wenbiao, Lu, Jiahai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764515/ https://www.ncbi.nlm.nih.gov/pubmed/26894570 http://dx.doi.org/10.1371/journal.pntd.0004473 |
Ejemplares similares
-
Dynamic spatiotemporal analysis of indigenous dengue fever at street-level in Guangzhou city, China
por: Liu, Kangkang, et al.
Publicado: (2018) -
Time series analysis of dengue fever and weather in Guangzhou, China
por: Lu, Liang, et al.
Publicado: (2009) -
Using Baidu Search Index to Predict Dengue Outbreak in China
por: Liu, Kangkang, et al.
Publicado: (2016) -
New genotype invasion of dengue virus serotype 1 drove massive outbreak in Guangzhou, China
por: Ma, Mengmeng, et al.
Publicado: (2021) -
Dengue Underestimation in Guangzhou, China: Evidence of Seroprevalence in Communities With No Reported Cases Before a Large Outbreak in 2014
por: Jing, Qinlong, et al.
Publicado: (2019)