ArticlePloS one2014
Epidemiological analysis, detection, and comparison of space-time patterns of Beijing hand-foot-mouth disease (2008-2012).
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Epidemiology of Hand, Foot and Mouth Disease in Asia: A Systematic Review and Analysis.The Pediatric infectious disease journal · 2016Pooled it
- Dynamic changes of hand, foot, and mouth disease epidemic crossing three periods in Jiangxi Province, China: a long-term epidemiology retrospective study from 2009 to 2022.BMC infectious diseases · 2026Article
- Probabilistic forecasting of hand, foot and mouth disease in Mainland China using Bayesian additive regression tree model.Scientific reports · 2025Article
- Pathogenicity and landscape of differential gene expression in mice orally infected with clinical coxsackievirus A6 (CA6).Journal of virology · 2024Article
- Spatiotemporal cluster patterns of hand, foot, and mouth disease at the province level in mainland China, 2011-2018.PloS one · 2022Article
- Identifying the space-time patterns of COVID-19 risk and their associations with different built environment features in Hong Kong.The Science of the total environment · 2021Article
- Epidemiological Characteristics of Hand, Foot, and Mouth Disease Outbreaks in Qingdao, 2009-2018.Iranian journal of public health · 2021Article
- Regional-level risk factors for severe hand-foot-and-mouth disease: an ecological study from mainland China.Environmental health and preventive medicine · 2021Article
- Early Evidence of Inactivated Enterovirus 71 Vaccine Impact Against Hand, Foot, and Mouth Disease in a Major Center of Ongoing Transmission in China, 2011-2018: A Longitudinal Surveillance Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020Article
- Potential Early Identification of a Large Campylobacter Outbreak Using Alternative Surveillance Data Sources: Autoregressive Modelling and Spatiotemporal Clustering.JMIR public health and surveillance · 2020Article
- Understanding the spatio-temporal dynamics of meningitis epidemics outside the belt: the case of the Democratic Republic of Congo (DRC).BMC infectious diseases · 2020Article
- The epidemiological risk factors of hand, foot, mouth disease among children in Singapore: A retrospective case-control study.PloS one · 2020Article
- Epidemiological characteristics and spatial-temporal clusters of hand, foot, and mouth disease in Qingdao City, China, 2013-2018.PloS one · 2020Article
- The epidemic characteristics and spatial autocorrelation analysis of hand, foot and mouth disease from 2010 to 2015 in Shantou, Guangdong, China.BMC public health · 2019Article
- Retrospect and Risk Analysis of Foot-and-Mouth Disease in China Based on Integrated Surveillance and Spatial Analysis Tools.Frontiers in veterinary science · 2019Article
- Article
- Spatio-temporal analysis of the relationship between meteorological factors and hand-foot-mouth disease in Beijing, China.BMC infectious diseases · 2018Article
- Severity and burden of hand, foot and mouth disease in Asia: a modelling study.BMJ global health · 2018Article
- Prohibitin plays a critical role in Enterovirus 71 neuropathogenesis.PLoS pathogens · 2018Article
- Spatio-temporal pattern analysis for evaluation of the spread of human infections with avian influenza A(H7N9) virus in China, 2013-2014.BMC infectious diseases · 2017Article
Corrections and comments
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6 authors.
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Abstract
backgroundHand, foot, and mouth disease (HFMD) mostly affects the health of infants and preschool children. Many studies of HFMD in different regions have been published. However, the epidemiological characteristics and space-time patterns of individual-level HFMD cases in a major city such as Beijing are unknown. The objective of this study was to investigate epidemiological features and identify high relative risk space-time HFMD clusters at a fine spatial scale.
methodsDetailed information on age, occupation, pathogen and gender was used to analyze the epidemiological features of HFMD epidemics. Data on individual-level HFMD cases were examined using Local Indicators of Spatial Association (LISA) analysis to identify the spatial autocorrelation of HFMD incidence. Spatial filtering combined with scan statistics methods were used to detect HFMD clusters.
resultsA total of 157,707 HFMD cases (60.25% were male, 39.75% were female) reported in Beijing from 2008 to 2012 included 1465 severe cases and 33 fatal cases. The annual average incidence rate was 164.3 per 100,000 (ranged from 104.2 in 2008 to 231.5 in 2010). Male incidence was higher than female incidence for the 0 to 14-year age group, and 93.88% were nursery children or lived at home. Areas at a higher relative risk were mainly located in the urban-rural transition zones (the percentage of the population at risk ranged from 33.89% in 2011 to 39.58% in 2012) showing High-High positive spatial association for HFMD incidence. The most likely space-time cluster was located in the mid-east part of the Fangshan district, southwest of Beijing.
conclusionsThe spatial-time patterns of Beijing HFMD (2008-2012) showed relatively steady. The population at risk were mainly distributed in the urban-rural transition zones. Epidemiological features of Beijing HFMD were generally consistent with the previous research. The findings generated computational insights useful for disease surveillance, risk assessment and early warning.
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