Heatwaves and dengue outbreaks in Hanoi, Vietnam: New evidence on early warning

被引:39
作者
Cheng, Jian [1 ]
Bambrick, Hilary [1 ]
Yakob, Laith [2 ]
Devine, Gregor [3 ]
Frentiu, Francesca D. [4 ]
Do Thi Thanh Toan [5 ]
Pham Quang Thai [5 ,6 ]
Xu, Zhiwei [1 ]
Hu, Wenbiao [1 ]
机构
[1] Queensland Univ Technol, Sch Publ Hlth & Social Work, Inst Hlth & Biomed Innovat, Brisbane, Qld, Australia
[2] London Sch Hyg & Trop Med, Dept Dis Control, London, England
[3] QIMR Berghofer Med Res Inst, Mosquito Control Lab, Brisbane, Qld, Australia
[4] Queensland Univ Technol, Sch Biomed Sci, Inst Hlth & Biomed Innovat, Brisbane, Qld, Australia
[5] Hanoi Med Univ, Inst Prevent Med & Publ Hlth, Hanoi, Vietnam
[6] Natl Inst Hyg & Epidemiol, Communicable Dis Control Dept, Hanoi, Vietnam
基金
英国医学研究理事会;
关键词
CLIMATE-CHANGE; INFECTIOUS-DISEASES; VIRUS OUTBREAK; IMPACT; TEMPERATURE; TRANSMISSION; MORTALITY; BURDEN; DEFINITIONS; HUMIDITY;
D O I
10.1371/journal.pntd.0007997
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background Many studies have shown associations between rising temperatures, El Nino events and dengue incidence, but the effect of sustained periods of extreme high temperatures (i.e., heatwaves) on dengue outbreaks has not yet been investigated. This study aimed to compare the short-term temperature-dengue associations during different dengue outbreak periods, estimate the dengue cases attributable to temperature, and ascertain if there was an association between heatwaves and dengue outbreaks in Hanoi, Vietnam. Methodology/Principal findings Dengue outbreaks were assigned to one of three categories (small, medium and large) based on the 50th, 75th, and 90th percentiles of distribution of weekly dengue cases during 2008-2016. Using a generalised linear regression model with a negative binomial link that controlled for temporal trends, temperature variation, rainfall and population size over time, we examined and compared associations between weekly average temperature and weekly dengue incidence for different outbreak categories. The same model using weeks with or without heatwaves as binary variables was applied to examine the potential effects of extreme heatwaves, defined as seven or more days with temperatures above the 95th percentile of daily temperature distribution during the study period. This study included 55,801 dengue cases, with an average of 119 (range: 0 to 1454) cases per week. The exposure response relationship between temperature and dengue risk was non-linear and differed with dengue category. After considering the delayed effects of temperature (one week lag), we estimated that 4.6%, 11.6%, and 21.9% of incident cases during small, medium, and large outbreaks were attributable to temperature. We found evidence of an association between heatwaves and dengue outbreaks, with longer delayed effects on large outbreaks (around 14 weeks later) than small and medium outbreaks (4 to 9 weeks later). Compared with non-heatwave years, dengue outbreaks (i.e., small, moderate and large outbreaks combined) in heatwave years had higher weekly number of dengue cases (p<0.05). Findings were robust under different sensitivity analyses. Conclusions The short-term association between temperature and dengue risk varied by the level of outbreaks and temperature seems more likely affect large outbreaks. Moreover, heatwaves may delay the timing and increase the magnitude of dengue outbreaks.
引用
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页码:1 / 15
页数:15
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