title: The Driving Force for 2014 Dengue Outbreak in Guangdong, China.
abstract: Dengue fever has rapidly spread in recent decades to become the most globally expansive viral vector-borne disease. In mainland China, a number of dengue outbreaks have been reported since 1978, but the worst epidemic in decades, involving 45230 cases and 76 imported cases, resulting in six deaths in Guangdong province, emerged in 2014. Reasons for this ongoing surge in dengue, both imported and autochthonous, are currently unclear and demand urgent investigation. Here, a seasonally-driven dynamic epidemiological model was used to simulate dengue transmission data recorded from the unprecedented outbreak. Sensitivity analysis demonstrate that delayed mosquito control, the continuous importations between the end of April to the early of July, the transmission of asymptomatic dengue infections, and the abnormally high precipitation from May to August might be the causal factors for the unprecedented outbreak. Our results suggested that the earlier and more frequent control measures in targeting immature and adult mosquitoes were effective in preventing larger outbreaks, and enhanced frontier health and quarantine from the end of April to the early of July for international communications and travelers.
authors.affiliation: Complex Systems Research Center, Shanxi University, Taiyuan, Shan'xi, People's Republic of China.|School of Computer and Information Technology, Shanxi University, Taiyuan, Shan'xi, People's Republic of China.
authors.forename: Ming-Tao
authors.initials: MT
authors.lastname: Li
authors.affiliation: Complex Systems Research Center, Shanxi University, Taiyuan, Shan'xi, People's Republic of China.
authors.forename: Gui-Quan
authors.initials: GQ
authors.lastname: Sun
authors.affiliation: Department of Disease Control, London School of Hygiene and Tropical Medicine, London, United Kingdom.
authors.forename: Laith
authors.initials: L
authors.lastname: Yakob
authors.affiliation: Complex Systems Research Center, Shanxi University, Taiyuan, Shan'xi, People's Republic of China.|LAMPS and Department of Mathematics and Statistics, York University, Toronto, Canada.
authors.forename: Huai-Ping
authors.initials: HP
authors.lastname: Zhu
authors.affiliation: Complex Systems Research Center, Shanxi University, Taiyuan, Shan'xi, People's Republic of China.
authors.forename: Zhen
authors.initials: Z
authors.lastname: Jin
authors.affiliation: Institute of Disease Control and Prevention, Academy of Military Medical Science, Beijing, People's Republic of China.
authors.forename: Wen-Yi
authors.initials: WY
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D000818:Animals; D002681:China / Q000453:epidemiology; D002980:Climate; D009033:Culicidae / Q000821:virology; D003715:Dengue / Q000453:epidemiology* / Q000266:history / Q000401:mortality / Q000635:transmission; D003716:Dengue Virus; D004196:Disease Outbreaks; D049674:History, 21st Century; D006801:Humans; D015994:Incidence; D055256:Infectious Disease Incubation Period; D008962:Models, Theoretical; D011159:Population Surveillance; D012621:Seasons