Using a Bayesian spatiotemporal model to identify the influencing factors and high-risk areas of hand, foot and mouth disease (HFMD) in Shenzhen

The epidemic of hand, foot, and mouth disease (HFMD) has become a severe public health problem in the world and has also brought a high economic and health burden. Furthermore, the prevalence of HFMD varies significantly among different locations. However, there have been few investigations of the e...

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Veröffentlicht in:	PLoS neglected tropical diseases 2020-03, Vol.14 (3), p.e0008085
Hauptverfasser:	He, Xiaoyi, Dong, Shengjie, Li, Liping, Liu, Xiaojian, Wu, Yongsheng, Zhang, Zhen, Mei, Shujiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Air Pollution Bayes Theorem Bayesian analysis Biology and Life Sciences Child Child, Preschool China - epidemiology Coxsackievirus infections Data collection Disease control Disease prevention Disease transmission Early warning systems Earth Sciences Ecology and Environmental Sciences Economics Environmental Exposure Epidemics Ethics Female GDP Gross Domestic Product Hand, Foot and Mouth Disease - epidemiology Hand-foot-and-mouth disease Humans Incidence Infant Infectious diseases Information systems Kindergarten Male Medicine and Health Sciences Nitrogen dioxide Outdoor air quality Particulate matter People and Places Physical Sciences Pollution effects Population density Probability theory Public health Random variables Risk analysis Risk Assessment Risk factors Social factors Social Sciences Socioeconomic data Socioeconomic Factors Socioeconomics Software Spatio-Temporal Analysis Studies Sulfur dioxide Tropical diseases Vaccines Warning systems
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