ArticleBMC infectious diseases2015
Spatio-temporal analysis of the relationship between climate and hand, foot, and mouth disease in Shandong province, China, 2008-2012.
Article in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- West-to-East transmission clusters and meteorological associations for severe hand foot and mouth disease in Shandong Province: a geospatial and GAM analysis.BMC public health · 2025Article
- Impact of meteorological factors on the incidence of hand, foot, and mouth disease caused by major enterovirus pathogens: a distributed lag nonlinear analysis in Fujian Province, China.BMC infectious diseases · 2025Article
- Spatiotemporal filtering modeling of hand, foot, and mouth disease: a case study from East China, 2009-2015.Epidemiology and infection · 2025Article
- A Novel Bayesian Spatio-Temporal Surveillance Metric to Predict Emerging Infectious Disease Areas of High Disease Risk.Statistics in medicine · 2024Article
- Exploring the spatiotemporal effects of meteorological factors on hand, foot and mouth disease: a multiscale geographically and temporally weighted regression study.BMC public health · 2024Article
- Study of the influence of meteorological factors on HFMD and prediction based on the LSTM algorithm in Fuzhou, China.BMC infectious diseases · 2023Article
- Combined impacts of environmental and socioeconomic covariates on HFMD risk in China: A spatiotemporal heterogeneous perspective.PLoS neglected tropical diseases · 2023Article
- Analysis of spatial-temporal distribution of notifiable respiratory infectious diseases in Shandong Province, China during 2005-2014.BMC public health · 2021Article
- Associations of ambient air pollutants with regional pulmonary tuberculosis incidence in the central Chinese province of Hubei: a Bayesian spatial-temporal analysis.Environmental health : a global access science source · 2020Article
- Spatial-temporal variation and risk factor analysis of hand, foot, and mouth disease in children under 5 years old in Guangxi, China.BMC public health · 2019Article
- Diarrhea Patterns and Climate: A Spatiotemporal Bayesian Hierarchical Analysis of Diarrheal Disease in Afghanistan.The American journal of tropical medicine and hygiene · 2019Article
- Spatiotemporal Distribution of Hand, Foot, and Mouth Disease in Guangdong Province, China and Potential Predictors, 2009⁻2012.International journal of environmental research and public health · 2019Article
- The study on the early warning period of varicella outbreaks based on logistic differential equation model.Epidemiology and infection · 2019Article
- Epidemiological features and spatial clusters of hand, foot, and mouth disease in Qinghai Province, China, 2009-2015.BMC infectious diseases · 2018Article
- Risk Assessment and Mapping of Hand, Foot, and Mouth Disease at the County Level in Mainland China Using Spatiotemporal Zero-Inflated Bayesian Hierarchical Models.International journal of environmental research and public health · 2018Article
- Spatio-temporal analysis of the relationship between meteorological factors and hand-foot-mouth disease in Beijing, China.BMC infectious diseases · 2018Article
- Predicting the outbreak of hand, foot, and mouth disease in Nanjing, China: a time-series model based on weather variability.International journal of biometeorology · 2018Article
- Epidemiological Characteristics and Spatial-Temporal Distribution of Hand, Foot, and Mouth Disease in Chongqing, China, 2009-2016.International journal of environmental research and public health · 2018Article
- Different responses of weather factors on hand, foot and mouth disease in three different climate areas of Gansu, China.BMC infectious diseases · 2018Article
- Association between meteorological factors and reported cases of hand, foot, and mouth disease from 2000 to 2015 in Japan.Epidemiology and infection · 2017Article
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6 authors.
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Abstract
backgroundHand, foot, and mouth disease (HFMD) is the most common communicable disease in China. Shandong Province is one of the most seriously affected areas. The distribution of HFMD had spatial heterogeneity and seasonal characteristic in this setting. The aim of this study was to explore the associations between climate and HFMD by a Bayesian approach from spatio-temporal interactions perspective.
methodsThe HFMD data of Shandong Province during 2008-2012 were derived from the China National Disease Surveillance Reporting and Management System. And six climatic indicators were obtained from the Meteorological Bureau of Shandong Province. The global spatial autocorrelation statistic (Moran's I) was used to detect the spatial autocorrelation of HFMD cases in each year. The optimal one among four Bayesian models was further adopted to estimate the relative risk of the occurrence of HFMD via Markov chain Monte Carlo.
resultsThe annual average incidence rate of HFMD was 104.40 per 100,000 in Shandong Province. Positive spatial autocorrelation appeared at county level (Moran's I≥0.30, P<0.001). The best fitting Spatio-temporal interactive model showed that annual average temperature, annual average pressure, annual average relative humidity, annual average wind speed and annual sunshine hours were significantly positive related to the occurrence of HFMD. The estimated relative risk of 36, 87, 91, 79, 65 out of 140 counties for 2008-2012 respectively were significantly more than 1.
conclusionsThere were obvious spatio-temporal heterogeneity of HFMD in Shandong Province, and the climatic indicators were associated with the epidemic of HFMD. Bayesian approach should be recommended to capture the spatial-temporal pattern of HFMD.
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