Different effects of meteorological factors on hand, foot and mouth disease in various climates: a spatial panel data model analysis

BMC Infectious Diseases

Research Article

Jin Guo¹  Kai Cao¹  Qin Xu¹  Fangfang Huang¹  Lixin Tao¹  Qi Gao¹  Xiuhua Guo¹  Chao Wang²  Yingjie Zhang³  Liqun Fang⁴  Xia Li⁵ 

[1] Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Wai Street, 100069, Beijing, Fengtai District, PR China;Beijing Municipal Key Laboratory of Clinical Epidemiology, No.10 Xitoutiao, Youanmen Wai Street, 100069, Beijing, Fengtai District, PR China;Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Wai Street, 100069, Beijing, Fengtai District, PR China;Beijing Municipal Key Laboratory of Clinical Epidemiology, No.10 Xitoutiao, Youanmen Wai Street, 100069, Beijing, Fengtai District, PR China;Department of Statistics and Information, Beijing Centers for Disease Control and Prevention, No.16, Hepingli Middle Street, 100013, Beijing, Dongcheng District, PR China;National Center for Public Health, Surveillance and Information Services, Chinese Center for Disease Control and Prevention, No. 155 Changbai Street, 102206, Beijing, Changping District, PR China;State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, No. 20 Dongda Street, 100071, Beijing, Fengtai District, PR China;The Graduate Entry Medical School, University of Limerick, Limerick, Ireland;

关键词: Hand, foot and mouth disease;    Spatial panel data model;    Meteorological factors;    Climate type;   

DOI  :  10.1186/s12879-016-1560-9

 received in 2015-10-03, accepted in 2016-05-10,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundMajor outbreaks of hand, foot and mouth disease (HFMD) have been reported in China since 2008, posing a great threat to the health of children. Although many studies have examined the effect of meteorological variables on the incidence of HFMD, the results have been inconsistent. This study aimed to quantify the relationship between meteorological factors and HFMD occurrence in different climates of mainland China using spatial panel data models.MethodsAll statistical analyses were carried out according to different climate types. We firstly conducted a descriptive analysis to summarize the epidemic characteristics of HFMD from May 2008 to November 2012 and then detected the spatial autocorrelation of HFMD using a global autocorrelation statistic (Moran’s I) in each month. Finally, the association between HFMD incidence and meteorological factors was explored by spatial panel data models.ResultsThe 353 regions were divided into 4 groups according to climate (G1: subtropical monsoon climate; G2: temperate monsoon climate; G3: temperate continental climate; G4: plateau mountain climate). The Moran’s I values were significant with high correlations in most months of group G1 and G2 and some months of group G3 and G4. This suggested the existence of a high spatial autocorrelation with HFMD. Spatial panel data models were more appropriate to describe the data than fixed effect models. The results showed that HFMD incidences were significantly associated with average atmospheric pressure (AAP), average temperature (AT), average vapor pressure (AVP), average relative humidity (ARH), monthly precipitation (MP), average wind speed (AWS), monthly total sunshine hours (MSH), mean temperature difference (MTD), rain day (RD) and average temperature distance (ATD), but the effect of meteorological factors might differ in various climate types.ConclusionsSpatial panel data models are useful and effective when longitudinal data are available and spatial autocorrelation exists. Our findings showed that meteorological factors were related to the occurrence of HFMD, which were also affected by climate type.

【 授权许可】

CC BY   
© Wang et al. 2016