ArticleInternational journal of environmental research and public health2011
Spatio-temporal diffusion pattern and hotspot detection of dengue in Chachoengsao province, Thailand.
Article in International journal of environmental research and public health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
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Who cites it
45 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
- Electronic data collection, management and analysis tools used for outbreak response in low- and middle-income countries: a systematic review and stakeholder survey.BMC public health · 2021Pooled it
- Characterizing spatiotemporal spread of infectious diseases using ellipse-shaped transmission hotspots: application to dengue virus outbreaks.International journal of health geographics · 2026Article
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- Public health informatics tools for dengue risk management: A systematic review.PLOS digital health · 2026Article
- Fine-scale heterogeneity and local amplification of West Nile virus in urban environments in Berlin.Nature communications · 2026Article
- Mapping landscape changes to address dengue fever risk in Laos and Thailand.Current research in parasitology & vector-borne diseases · 2026Article
- High-Resolution Geospatial Analysis of Dengue Vulnerability in Urban and Rural Areas of San Luis Potosí, Mexico.Tropical medicine and infectious disease · 2025Article
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- Efficacy Assessment of Autodissemination Using Pyriproxyfen-Treated Ovitraps in the Reduction of Dengue Incidence in Parañaque City, Philippines: A Spatial Analysis.Tropical medicine and infectious disease · 2023Article
- Influences of Differentiated Residence and Workplace Location on the Identification of Spatiotemporal Patterns of Dengue Epidemics: A Case Study in Guangzhou, China.International journal of environmental research and public health · 2022Article
- Scientometric Analysis of The Relationship between a Built Environment and Cardiovascular Disease.International journal of environmental research and public health · 2022Article
- Influence of climate variables on dengue fever occurrence in the southern region of Thailand.PLOS global public health · 2022Article
- Investigations on annual spreading of viruses infecting cucurbit crops in Uttar Pradesh State, India.Scientific reports · 2021Article
- Identifying urban hotspots of dengue, chikungunya, and Zika transmission in Mexico to support risk stratification efforts: a spatial analysis.The Lancet. Planetary health · 2021Article
- mHealth Technology Translation in a Limited Resources Community-Process, Challenges, and Lessons Learned From a Limited Resources Community of Chiang Mai Province, Thailand.IEEE journal of translational engineering in health and medicine · 2021Article
- Effects of social distancing and isolation on epidemic spreading modeled via dynamical density functional theory.Nature communications · 2020Article
- Does Bangkok have a central role in the dengue dynamics of Thailand?Parasites & vectors · 2020Article
- The burden of submicroscopic and asymptomatic malaria in India revealed from epidemiology studies at three varied transmission sites in India.Scientific reports · 2019Article
- Spatial and temporal patterns of dengue incidence in northeastern Thailand 2006-2016.BMC infectious diseases · 2019Article
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3 authors.
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Abstract
In recent years, dengue has become a major international public health concern. In Thailand it is also an important concern as several dengue outbreaks were reported in last decade. This paper presents a GIS approach to analyze the spatial and temporal dynamics of dengue epidemics. The major objective of this study was to examine spatial diffusion patterns and hotspot identification for reported dengue cases. Geospatial diffusion pattern of the 2007 dengue outbreak was investigated. Map of daily cases was generated for the 153 days of the outbreak. Epidemiological data from Chachoengsao province, Thailand (reported dengue cases for the years 1999-2007) was used for this study. To analyze the dynamic space-time pattern of dengue outbreaks, all cases were positioned in space at a village level. After a general statistical analysis (by gender and age group), data was subsequently analyzed for temporal patterns and correlation with climatic data (especially rainfall), spatial patterns and cluster analysis, and spatio-temporal patterns of hotspots during epidemics. The results revealed spatial diffusion patterns during the years 1999-2007 representing spatially clustered patterns with significant differences by village. Villages on the urban fringe reported higher incidences. The space and time of the cases showed outbreak movement and spread patterns that could be related to entomologic and epidemiologic factors. The hotspots showed the spatial trend of dengue diffusion. This study presents useful information related to the dengue outbreak patterns in space and time and may help public health departments to plan strategies to control the spread of disease. The methodology is general for space-time analysis and can be applied for other infectious diseases as well.
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