ArticleInternational journal of environmental research and public health2016
Spatiotemporal Pattern Analysis of Scarlet Fever Incidence in Beijing, China, 2005-2014.
Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 33 citations in OpenAlex.
- Epidemiological characteristics and spatiotemporal analysis of scarlet fever in Guangzhou, China: the surveillance of 20 years.BMC infectious diseases · 2026Article
- Trends and Spatial Pattern Analysis of Typhoid and Paratyphoid Fever Incidence - Yunnan Province, China, 1989-2022.China CDC weekly · 2024Article
- Epidemiological changes of scarlet fever before, during and after the COVID-19 pandemic in Chongqing, China: a 19-year surveillance and prediction study.BMC public health · 2024Article
- Epidemiological Characteristics and Trends of Scarlet Fever in Zhejiang Province of China: Population-Based Surveillance during 2004-2022.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2024Article
- Patterns in the Incidence of Scarlet Fever Among Children Aged 0-9 Years - China, 2010-2019.China CDC weekly · 2023Article
- [Spatial clustering analysis of scarlet fever incidence in China from 2016 to 2020].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023Article
- Forecasting the monthly incidence of scarlet fever in Chongqing, China using the SARIMA model.Epidemiology and infection · 2022Article
- Demographic and ecogeographic factors limit wild grapevine spread at the southern edge of its distribution range.Ecology and evolution · 2021Article
- Spatial pattern and associated factors of HIV testing and counselling among youths (15-24 years) in Ethiopia.BMC public health · 2021Article
- Epidemiological study of scarlet fever in Shenyang, China.BMC infectious diseases · 2019Article
- Analysis of Epidemiological Characteristics of Scarlet Fever in Zhejiang Province, China, 2004-2018.International journal of environmental research and public health · 2019Article
- Incidence of Scarlet Fever in Children in Jeju Province, Korea, 2002-2016: An Age-period-cohort Analysis.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2019Article
- Detecting spatio-temporal hotspots of scarlet fever in Taiwan with spatio-temporal Gi* statistic.PloS one · 2019Article
- Spatial and temporal clustering analysis of tuberculosis in the mainland of China at the prefecture level, 2005-2015.Infectious diseases of poverty · 2018Article
- Spatiotemporal epidemiology of scarlet fever in Jiangsu Province, China, 2005-2015.BMC infectious diseases · 2017Article
- The Association between Environmental Factors and Scarlet Fever Incidence in Beijing Region: Using GIS and Spatial Regression Models.International journal of environmental research and public health · 2016Article
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Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo probe the spatiotemporal patterns of the incidence of scarlet fever in Beijing, China, from 2005 to 2014.
methodsA spatiotemporal analysis was conducted at the district/county level in the Beijing region based on the reported cases of scarlet fever during the study period. Moran's autocorrelation coefficient was used to examine the spatial autocorrelation of scarlet fever, whereas the Getis-Ord Gi* statistic was used to determine the hotspot incidence of scarlet fever. Likewise, the space-time scan statistic was used to detect the space-time clusters, including the relative risk of scarlet fever incidence across all settings.
resultsA total of 26,860 scarlet fever cases were reported in Beijing during the study period (2005-2014). The average annual incidence of scarlet fever was 14.25 per 100,000 population (range, 6.76 to 32.03 per 100,000). The incidence among males was higher than that among females, and more than two-thirds of scarlet fever cases (83.8%) were among children 3-8 years old. The seasonal incidence peaks occurred from March to July. A higher relative risk area was mainly in the city and urban districts of Beijing. The most likely space-time clusters and secondary clusters were detected to be diversely distributed in every study year.
conclusionsThe spatiotemporal patterns of scarlet fever were relatively unsteady in Beijing from 2005 to 2014. The at-risk population was mainly scattered in urban settings and dense districts with high population, indicating a positive relationship between population density and increased risk of scarlet fever exposure. Children under 15 years of age were the most susceptible to scarlet fever.
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