title: Epidemiological Characteristics and Spatial-Temporal Clusters of Mumps in Shandong Province, China, 2005-2014.
abstract: Mumps presents a serious threat to public health in China. We conducted a descriptive analysis to identify the epidemiological characteristics of mumps in Shandong Province. Spatial autocorrelation and space-time scan analyses were utilized to detect spatial-temporal clusters. From 2005 to 2014, 115745 mumps cases were reported in Shandong, with an average male-to-female ratio of 1.94. Mumps occurred mostly in spring (32.17% of all reported cases) and in children aged 5 to 9 (40.79% of all reported cases). The Moran's I test was significant and local indicators of spatial autocorrelation (LISA) analysis revealed significant spatial clusters with high incidence. The results showed that the mid-west of Shandong Province and some coastal regions (Qingdao City and Weihai City) were high-risk areas, particularly in the center of the Jining City and the junction of Dongying City, Binzhou City and Zibo City. The results could assist local and national public health agencies in formulating better public health strategic planning and resource allocation.
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China.
authors.forename: Runzi
authors.initials: R
authors.lastname: Li
authors.affiliation: Visual Analytics and Imaging Lab, Computer Science Department, Stony Brook University, New York 10024, America.
authors.forename: Shenghui
authors.initials: S
authors.lastname: Cheng
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China.
authors.forename: Cheng
authors.initials: C
authors.lastname: Luo
authors.affiliation: School of Medicine &Centre for Environment and Population Health, Griffith University, Queensland 4218, Australia.
authors.forename: Shannon
authors.initials: S
authors.lastname: Rutherford
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China.
authors.forename: Jin
authors.initials: J
authors.lastname: Cao
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China.
authors.forename: Qinqin
authors.initials: Q
authors.lastname: Xu
authors.affiliation: Shandong Center for Disease Control and Prevention, Jinan 250012, Shandong, China.
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Liu
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China.
authors.forename: Yanxun
authors.initials: Y
authors.lastname: Liu
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China.
authors.forename: Fuzhong
authors.initials: F
authors.lastname: Xue
authors.affiliation: Shandong Center for Disease Control and Prevention, Jinan 250012, Shandong, China.
authors.forename: Qing
authors.initials: Q
authors.lastname: Xu
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China.
authors.forename: Xiujun
authors.initials: X
authors.lastname: Li
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D002675:Child, Preschool; D002681:China / Q000453:epidemiology; D016000:Cluster Analysis; D005260:Female; D006801:Humans; D015994:Incidence; D007223:Infant; D008297:Male; D008875:Middle Aged; D009107:Mumps / Q000453:epidemiology*; D011159:Population Surveillance; D016016:Proportional Hazards Models; D012621:Seasons; D062211:Spatio-Temporal Analysis; D055815:Young Adult