ArticlePloS one2015
Visualized Exploratory Spatiotemporal Analysis of Hand-Foot-Mouth Disease in Southern China.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Spatiotemporal Changes and Influencing Factors of Hand, Foot, and Mouth Disease in Guangzhou, China, From 2013 to 2022: Retrospective Analysis.JMIR public health and surveillance · 2024Article
- Spatiotemporal patterns and risk mapping of provincial hand, foot, and mouth disease in mainland China, 2014-2017.Frontiers in public health · 2024Article
- Combined impacts of environmental and socioeconomic covariates on HFMD risk in China: A spatiotemporal heterogeneous perspective.PLoS neglected tropical diseases · 2023Article
- Identification of Emerging Roadkill Hotspots on Korean Expressways Using Space-Time Cubes.International journal of environmental research and public health · 2023Article
- Spatial-temporal evolution of the allometric growth between economic scale and carbon emissions in China's cities and its driving mechanism.Environment, development and sustainability · 2022Article
- Spatiotemporal cluster patterns of hand, foot, and mouth disease at the province level in mainland China, 2011-2018.PloS one · 2022Article
- Spatial and Temporal Characteristics of Hand-Foot-and-Mouth Disease and Their Influencing Factors in Urumqi, China.International journal of environmental research and public health · 2021Article
- Visual analytics of COVID-19 dissemination in São Paulo state, Brazil.Journal of biomedical informatics · 2021Article
- Analyzing hemorrhagic fever with renal syndrome in Hubei Province, China: a space-time cube-based approach.The Journal of international medical research · 2019Article
- Spatio-temporal clustering analysis and its determinants of hand, foot and mouth disease in Hunan, China, 2009-2015.BMC infectious diseases · 2017Article
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6 authors.
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Abstract
objectivesIn epidemiological research, major studies have focused on theoretical models; however, few methods of visual analysis have been used to display the patterns of disease distribution.
designFor this study, a method combining the space-time cube (STC) with space-time scan statistics (STSS) was used to analyze the pattern of incidence of hand-foot-mouth disease (HFMD) in Guangdong Province from May 2008 to March 2009. In this research, STC was used to display the spatiotemporal pattern of incidence of HFMD, and STSS were used to detect the local aggregations of the disease.
settingThe hand-foot-mouth disease data were obtained from Guangdong Province from May 2008 to March 2009, with a total of 68,130 cases.
resultsThe STC analysis revealed a differential pattern of HFMD incidence among different months and cities and also showed that the population density and average precipitation are correlated with the incidence of HFMD. The STSS analysis revealed that the most likely aggregation includes the Shenzhen, Foshan and Dongguan populations, which are the most developed regions in Guangdong Province.
conclusionBoth STC and STSS are efficient tools for the exploratory data analysis of disease transmission. STC clearly displays the spatiotemporal patterns of disease. Using the maximum likelihood ratio, the STSS model precisely locates the most likely aggregation.
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