Developing a Time Series Predictive Model for Dengue in Zhongshan, China Based on Weather and Guangzhou Dengue Surveillance Data.

• Published in: PLOS Neglected Tropical Diseases
• Main Authors: Yingtao Zhang, Tao Wang, Kangkang Liu, Yao Xia, Yi Lu, Qinlong Jing, Zhicong Yang, Wenbiao Hu, Jiahai Lu
• Format: Article in Journal/Newspaper
• Language: English
• Published: Public Library of Science (PLoS) 2016
• Subjects: Arctic medicine. Tropical medicine; RC955-962; Public aspects of medicine; RA1-1270; Arctic; Zhongshan
• Online Access: https://doi.org/10.1371/journal.pntd.0004473; https://doaj.org/article/4eb25627d77c478196488bd526b7aa60

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 the...