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气候、干预措施及输入性病例作为广州2014年登革热疫情决定因素的相互作用

The interplay of climate, intervention and imported cases as determinants of the 2014 dengue outbreak in Guangzhou.

作者信息

Cheng Qu, Jing Qinlong, Spear Robert C, Marshall John M, Yang Zhicong, Gong Peng

机构信息

Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, People's Republic of China.

Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, People's Republic of China.

出版信息

PLoS Negl Trop Dis. 2017 Jun 22;11(6):e0005701. doi: 10.1371/journal.pntd.0005701. eCollection 2017 Jun.

Abstract

Dengue is a fast spreading mosquito-borne disease that affects more than half of the population worldwide. An unprecedented outbreak happened in Guangzhou, China in 2014, which contributed 52 percent of all dengue cases that occurred in mainland China between 1990 and 2015. Our previous analysis, based on a deterministic model, concluded that the early timing of the first imported case that triggered local transmission and the excessive rainfall thereafter were the most important determinants of the large final epidemic size in 2014. However, the deterministic model did not allow us to explore the driving force of the early local transmission. Here, we expand the model to include stochastic elements and calculate the successful invasion rate of cases that entered Guangzhou at different times under different climate and intervention scenarios. The conclusion is that the higher number of imported cases in May and June was responsible for the early outbreak instead of climate. Although the excessive rainfall in 2014 did increase the success rate, this effect was offset by the low initial water level caused by interventions in late 2013. The success rate is strongly dependent on mosquito abundance during the recovery period of the imported case, since the first step of a successful invasion is infecting at least one local mosquito. The average final epidemic size of successful invasion decreases exponentially with introduction time, which means if an imported case in early summer initiates the infection process, the final number infected can be extremely large. Therefore, dengue outbreaks occurring in Thailand, Singapore, Malaysia and Vietnam in early summer merit greater attention, since the travel volumes between Guangzhou and these countries are large. As the climate changes, destroying mosquito breeding sites in Guangzhou can mitigate the detrimental effects of the probable increase in rainfall in spring and summer.

摘要

登革热是一种迅速传播的蚊媒疾病,全球超过一半的人口受其影响。2014年中国广州发生了前所未有的疫情,此次疫情占1990年至2015年中国大陆所有登革热病例的52%。我们之前基于确定性模型的分析得出结论,触发本地传播的首例输入病例的早期出现时间以及此后的过量降雨是2014年最终疫情规模庞大的最重要决定因素。然而,确定性模型无法让我们探究早期本地传播的驱动力。在此,我们扩展模型以纳入随机因素,并计算在不同气候和干预情景下于不同时间进入广州的病例的成功入侵率。结论是,5月和6月输入病例数量较多导致了早期疫情爆发,而非气候因素。尽管2014年的过量降雨确实提高了成功率,但这一效果被2013年末干预措施导致的低初始水位所抵消。成功率在很大程度上取决于输入病例恢复期的蚊子数量,因为成功入侵的第一步是至少感染一只本地蚊子。成功入侵的平均最终疫情规模随引入时间呈指数下降,这意味着如果初夏的一例输入病例引发感染过程,最终感染人数可能会极大。因此,初夏在泰国、新加坡、马来西亚和越南发生的登革热疫情值得更多关注,因为广州与这些国家之间的旅行量很大。随着气候变化,在广州摧毁蚊子繁殖地可以减轻春季和夏季降雨可能增加带来的不利影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155c/5507464/606254104e71/pntd.0005701.g001.jpg

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