ArticlePLoS neglected tropical diseases2017
The interplay of climate, intervention and imported cases as determinants of the 2014 dengue outbreak in Guangzhou.
Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Land use and land cover change and its impacts on dengue dynamics in China: A systematic review.PLoS neglected tropical diseases · 2021Pooled it
- The use and reporting of airline passenger data for infectious disease modelling: a systematic review.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019Pooled it
- The role of tropical cyclones in accelerating dengue transmission: insights from field experiments and dynamical modelling.BMJ global health · 2026Article
- Epidemiological characteristics and temporal-spatial analysis of overseas imported dengue fever cases in outbreak provinces of China, 2005-2019.Infectious diseases of poverty · 2022Article
- Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2022Article
- Virome in adult Aedes albopictus captured during different seasons in Guangzhou City, China.Parasites & vectors · 2021Article
- Extreme weather events and dengue outbreaks in Guangzhou, China: a time-series quasi-binomial distributed lag non-linear model.International journal of biometeorology · 2021Article
- Assessing the suitability for Aedes albopictus and dengue transmission risk in China with a delay differential equation model.PLoS neglected tropical diseases · 2021Article
- Weekly dengue forecasts in Iquitos, Peru; San Juan, Puerto Rico; and Singapore.PLoS neglected tropical diseases · 2020Article
- Epidemiological characteristics of dengue in mainland China from 1990 to 2019: A descriptive analysis.Medicine · 2020Article
- The driver of dengue fever incidence in two high-risk areas of China: A comparative study.Scientific reports · 2019Article
- A field-based modeling study on ecological characterization of hourly host-seeking behavior and its associated climatic variables in Aedes albopictus.Parasites & vectors · 2019Article
- Neglected tropical diseases in the People's Republic of China: progress towards elimination.Infectious diseases of poverty · 2019Review
- Inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China.Nature communications · 2019Article
- A combination of climatic conditions determines major within-season dengue outbreaks in Guangdong Province, China.Parasites & vectors · 2019Article
- Molecular epidemiological characteristics of dengue virus carried by 34 patients in Guangzhou in 2018.PloS one · 2019Article
- Development of a mechanistic dengue simulation model for Guangzhou.Epidemiology and infection · 2019Article
- Photoperiodic diapause in a subtropical population of Aedes albopictus in Guangzhou, China: optimized field-laboratory-based study and statistical models for comprehensive characterization.Infectious diseases of poverty · 2018Article
- The Tsinghua-Lancet Commission on Healthy Cities in China: unlocking the power of cities for a healthy China.Lancet (London, England) · 2018Review
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6 authors.
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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.
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