ArticleScientific reports2018
Spatial and Temporal Characteristics of 2014 Dengue Outbreak in Guangdong, China.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Leveraging geographic information system for dengue surveillance: a scoping review.Tropical medicine and health · 2025Review
- Large-scale epidemiological modelling: scanning for mosquito-borne diseases spatio-temporal patterns in Brazil.Royal Society open science · 2025Article
- Vulnerability characteristics and adaptation strategies of public health systems in different regions of China.Frontiers in public health · 2025Review
- Spatial analysis of Dengue through the reproduction numbers relating to socioeconomic features: Case studies on two Brazilian urban centers.Infectious Disease Modelling · 2024Article
- Association Between Hydrological Conditions and Dengue Fever Incidence in Coastal Southeastern China From 2013 to 2019.JAMA network open · 2023Article
- Temporal trend and spatial clustering of the dengue fever prevalence in West Java, Indonesia.Heliyon · 2022Article
- An ensemble forecast system for tracking dynamics of dengue outbreaks and its validation in China.PLoS computational biology · 2022Article
- Integrating Spatial Modelling and Space-Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives: A Case of Dengue Fever in Pakistan.International journal of environmental research and public health · 2021Article
- The association between tropical cyclones and dengue fever in the Pearl River Delta, China during 2013-2018: A time-stratified case-crossover study.PLoS neglected tropical diseases · 2021Article
- Spatial analysis of COVID-19 spread in Iran: Insights into geographical and structural transmission determinants at a province level.PLoS neglected tropical diseases · 2020Article
- Spatiotemporal analysis of the dengue outbreak in Guangdong Province, China.BMC infectious diseases · 2019Article
- Dengue Infection Spectrum in Guangzhou: A Cross-Sectional Seroepidemiology Study among Community Residents between 2013 and 2015.International journal of environmental research and public health · 2018Article
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6 authors.
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Abstract
The record-breaking number of dengue cases reported in Guangdong, China in 2014 has been topic for many studies. However, the spatial and temporal characteristics of this unexpectedly explosive outbreak are still poorly understood. We adopt an integrated approach to ascertain the spatial-temporal progression of the outbreak in each city in Guangdong as well as in each district in Guangzhou, where the majority of cases occurred. We utilize the Richards model, which determines the waves of reported cases at each location and identifies the turning point for each wave, in combination with a spatial association analysis conducted by computing the standardized G* statistic that measures the degree of spatial autocorrelation of a set of geo-referenced data from a local perspective. We found that Yuexiu district in Guangzhou was the initial hot spot for the outbreak, subsequently spreading to its neighboring districts in Guangzhou and other cities in Guangdong province. Hospital isolation of cases during early stage of outbreak in neighboring Zhongshan (in effort to prevent disease transmission to the vectors) might have played an important role in the timely mitigation of the disease. Integration of modeling approach and spatial association analysis allows us to pinpoint waves that spread the disease to communities beyond the borders of the initially affected regions.
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