ArticleBMJ open2019
Epidemiology of dengue and the effect of seasonal climate variation on its dynamics: a spatio-temporal descriptive analysis in the Chao-Shan area on China's southeastern coast.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Epidemiological characteristics and transmission dynamics of the early stage Chikungunya fever outbreak in Foshan City, Guangdong Province, China in 2025.Infectious diseases of poverty · 2025Article
- Global dengue fever management in health systems: identifying strategies, challenges and solutions - a scoping review protocol.BMJ open · 2025Article
- Climate change and Aedes albopictus risks in China: current impact and future projection.Infectious diseases of poverty · 2023Article
- Epidemiology of Indigenous Dengue Cases in Zhejiang Province, Southeast China.Frontiers in public health · 2022Article
- Temperature, traveling, slums, and housing drive dengue transmission in a non-endemic metropolis.PLoS neglected tropical diseases · 2021Article
- A serological framework to investigate acute primary and post-primary dengue cases reporting across the Philippines.BMC medicine · 2020Article
- Epidemiological characteristics of dengue in mainland China from 1990 to 2019: A descriptive analysis.Medicine · 2020Article
- Assessing temporal causal effects of climate on dengue incidence in Peninsular Malaysia.The journal of climate change and healthArticle
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7 authors.
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Abstract
objectiveDengue is a mosquito-transmitted virus infection that remains rampant across the tropical and subtropical areas worldwide. However, the spatial and temporal dynamics of dengue transmission are poorly understood in Chao-Shan area, one of the most densely populated regions on China's southeastern coast, limiting disease control efforts. We aimed to characterise the epidemiology of dengue and assessed the effect of seasonal climate variation on its dynamics in the area.
designA spatio-temporal descriptive analysis was performed in three cities including Shantou, Chaozhou and Jieyang in Chao-Shan area during the period of 2014-2017.
settingData of dengue cases of three cities including Shantou, Chaozhou and Jieyang in Chao-Shan area during 2014-2017 were extracted. Data for climatic variables including mean temperature, relative humidity and rainfall were also compiled. METHODOLOGY: The epidemiology and dynamics of dengue were initially depicted, and then the temporal dynamics related to climatic drivers was assessed by a wavelet analysis method. Furthermore, a generalised additive model for location, scale and shape model was performed to study the relationship between seasonal dynamics of dengue and climatic drivers.
resultsAmong the cities, the number of notified dengue cases in Chaozhou was greatest, accounting for 78.3%. The median age for the notified cases was 43 years (IQR: 27.0-58.0 years). Two main regions located in Xixin and Chengxi streets of Chaozhou with a high risk of infection were observed, indicating that there was substantial spatial heterogeneity in intensity. We found an annual peak incidence occurred in autumn across the region, most markedly in 2015. This study reveals that periods of elevated temperatures can drive the occurrence of dengue epidemics across the region, and the risk of transmission is highest when the temperature is between 25°C and 28°C.
conclusionOur study contributes to a better understanding of dengue dynamics in Chao-Shan area.
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