Combined impacts of environmental and socioeconomic covariates on HFMD risk in China: A spatiotemporal heterogeneous perspective

Understanding geospatial impacts of multi-sourced influencing factors on the epidemic of hand-foot-and-mouth disease (HFMD) is of great significance for formulating disease control policies tailored to regional-specific needs, yet the knowledge is very limited. We aim to identify and further quantif...

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Veröffentlicht in:	PLoS neglected tropical diseases 2023-05, Vol.17 (5), p.e0011286-e0011286
Hauptverfasser:	Li, Chun-Hu, Mao, Jun-Jie, Wu, You-Jia, Zhang, Bin, Zhuang, Xun, Qin, Gang, Liu, Hong-Mei
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes Theorem Bayesian analysis Bayesian theory Binomial distribution Biology and Life Sciences Birth rate China - epidemiology Coxsackievirus infections Diagnosis Disease control Disease transmission Dynamics Earth Sciences Environmental effects Environmental impact Epidemics Evaluation Foot and mouth disease Hand, Foot and Mouth Disease - epidemiology Hand-foot-and-mouth disease Humans Incidence Infectious diseases Latitudinal variations Mathematical models Medicine and Health Sciences Normalized difference vegetative index Outbreaks People and Places Performance prediction Periodic variations Periodicity Population density Probability theory Provinces Public health Regression analysis Relative humidity Risk factors Social factors Social sciences Socioeconomic data Socioeconomic Factors Socioeconomics Spacetime Spatial distribution Spatio-Temporal Analysis Spatiotemporal data Temperature Temporal distribution Temporal variations Time series Transmission Tropical diseases Vaccines
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