Journal of Shandong University (Health Sciences) ›› 2024, Vol. 62 ›› Issue (6): 96-101.doi: 10.6040/j.issn.1671-7554.0.2024.0082
• Public Health & Management Sciences • Previous Articles
LIANG Kemeng1, LI Shufen1, NI Zhisong1, SONG Sihao1, XI Rui1, CHENG Chuanlong1, ZUO Hui1, DUAN Yuqi1, LIU Kun2, BAI Yao3, LI Xiujun1
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[1] 郭艳立. 手足口病的流行病学及病原学特征研究进展[J]. 医疗装备, 2020, 33(10): 201-203. GUO Yanli. Research progress on epidemiology and pathogenic characteristics of hand, foot and mouth disease[J]. Medical Equipment, 2020, 33(10): 201-203. [2] 李颉, 郑步云, 王劲峰. 2008—2018年中国手足口病时空分异特征 [J].地球信息科学学报, 2021, 23(3): 419-430. LI Jie, ZHENG Buyun, WANG Jinfeng. Spatial-temporal Heterogeneity of Hand, Foot and Mouth Disease in China from 2008 to 2018 [J]. Journal of Geo-information Science, 2021, 23(3): 419-430. [3] 王小莉, 魏洪鑫, 贾蕾, 等. 我国手足口病经济负担研究概况[J]. 中华流行病学杂志, 2020, 41(2): 273-279. WANG Xiaoli, WEI Hongxin, JIA Lei, et al. Summary of research in economic burden of hand, foot, and mouth disease in China[J]. Chinese Journal of Epidemiology, 2020, 41(2): 273-279. [4] 白尧, 王戬, 杨凡, 等. 2014—2019年西安市手足口病聚集性疫情流行特征分析[J]. 预防医学情报杂志, 2020, 36(12): 1566-1571. BAI Yao, WANG Jian, YANG Fan, et al. Analysis on the epidemiological characteristics of clustered cases of hand-foot-mouth disease in Xian from 2014 to 2019[J]. Journal of Preventive Medicine Information, 2020, 36(12): 1566-1571. [5] 别芹芹, 邱冬生, 胡辉, 等. 我国手足口病时空分布特征的GIS分析[J]. 地球信息科学学报, 2010, 12(3): 380-384. BIE Qinqin, QIU Dongsheng, HU Hui, et al. Spatial and temporal distribution characteristics of hand-foot-mouth disease in China[J]. Journal of Geo-Information Science, 2010, 12(3): 380-384. [6] 陈昕, 谢玲, 刘素红, 等. 广西手足口病时空分异及其地理环境因子探测分析[J]. 世界地理研究, 2022, 31(5): 1108-1118. CHEN Xin, XIE Ling, LIU Suhong, et al. Spatio-temporal difference and geographical environment factors of hand, foot and mouth disease in Guangxi[J]. World Regional Studies, 2022, 31(5): 1108-1118. [7] 龚胜生, 王无为, 陈红缨, 等. 湖北省手足口病流行的地理特征及其影响因子[J].地理科学, 2020, 40(6): 999-1009. GONG Shengsheng, WANG Wuwei, CHEN Hongying, et al. Geographical characteristics and influencing factors of the prevalence of hand, foot and mouth disease in Hubei Province[J]. Scientia Geographica Sinica, 2020, 40(6): 999-1009. [8] 王雅婷, 朋文佳, 苏华林, 等. 2011—2018年中国手足口病发病的时空特征及影响因素研究[J]. 中华流行病学杂志, 2022, 43(10): 1562-1567. WANG Yating, PENG Wenjia, SU Hualin, et al. Spatiotemporal characteristics of hand, foot and mouth disease and influencing factors in China from 2011 to 2018[J]. Chinese Journal of Epidemiology, 2022, 43(10): 1562-1567. [9] Brunsdon C, Fotheringham AS, Charlton ME. Geographically weighted regression: a method for exploring spatial nonstationarity[J]. Geogr Anal, 1996, 28(4): 281-298. [10] Fotheringham AS, Oshan TM, Li ZQ. Multiscale Geographically Weighted Regression[M]. Boca Raton: CRC Press, 2023. doi: 10.1201/9781003435464. [11] 沈体雁, 于瀚辰, 周麟, 等. 北京市二手住宅价格影响机制: 基于多尺度地理加权回归模型(MGWR)的研究[J]. 经济地理, 2020, 40(3): 75-83. SHEN Tiyan, YU Hanchen, ZHOU Lin, et al. On hedonic price of second-hand houses in Beijing based on multi-scale geographically weighted regression: scale law of spatial heterogeneity[J]. Economic Geography, 2020, 40(3): 75-83. [12] 黄颙昊, 杨新苗, 岳锦涛. 基于多尺度地理加权回归模型的城市道路骑行流量分析[J]. 清华大学学报(自然科学版), 2022, 62(7): 1132-1141. HUANG Yonghao, YANG Xinmiao, YUE Jintao. Urban street bicycle flow analysis based on multi-scale geographically weighted regression model[J]. Journal of Tsinghua University(Science and Technology), 2022, 62(7): 1132-1141. [13] Lotfata A. Using geographically weighted models to explore obesity prevalence association with air temperature, socioeconomic factors, and unhealthy behavior in the USA[J]. J Geovisualization Spatial Anal, 2022, 6(1): 14. [14] Oshan TM, Smith JP, Fotheringham AS. Targeting the spatial context of obesity determinants via multiscale geographically weighted regression[J]. Int J Health Geogr, 2020, 19(1): 11. [15] Xu CD. Spatio-temporal pattern and risk factor analysis of hand, foot and mouth disease associated with under-five morbidity in the beijing-Tianjin-hebei region of China[J]. Int J Environ Res Public Health, 2017, 14(4): 416. [16] Hu BS, Qiu WQ, Xu CD, et al. Integration of a Kalman filter in the geographically weighted regression for modeling the transmission of hand, foot and mouth disease[J]. BMC Public Health, 2020, 20(1): 479. [17] Ren HY, Zheng L, Li QX, et al. Exploring determinants of spatial variations in the dengue fever epidemic using geographically weighted regression model: a case study in the joint Guangzhou-foshan area, China, 2014[J]. Int J Environ Res Public Health, 2017, 14(12): 1518. [18] Yang J, Huang X. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J]. Earth Syst Sci Data, 2021, 13(8): 3907-3925. [19] Marshall RJ. Mapping disease and mortality rates using empirical Bayes estimators[J]. J R Stat Soc Ser C Appl Stat, 1991, 40(2): 283-294. [20] 林静静, 张铁威, 李秀央. 疾病时空聚集分析的研究与进展[J]. 中华流行病学杂志, 2020, 41(7): 1165-1170. LIN Jingjing, ZHANG Tiewei, LI Xiuyang. Research progress on spatiotemporal clustering of disease[J]. Chinese Journal of Epidemiology, 2020, 41(7): 1165-1170. [21] 张雷雨, 杨毅, 梁霄. 地理加权回归模型的多重共线性诊断方法[J]. 测绘与空间地理信息, 2017, 40(10): 28-31. ZHANG Leiyu, YANG Yi, LIANG Xiao. The diagnostic approach of multicollinearity in geographically weighted regression model[J]. Geomatics & Spatial Information Technology, 2017, 40(10): 28-31. [22] Wolf LJ, Oshan TM, Fotheringham AS. Single and multiscale models of process spatial heterogeneity[J]. Geogr Anal, 2018, 50(3): 223-246. [23] He XY, Dong SJ, Li LP, et al. Using a Bayesian spatiotemporal model to identify the influencing factors and high-risk areas of hand, foot and mouth disease(HFMD)in Shenzhen[J]. PLoS Negl Trop Dis, 2020, 14(3): e0008085. doi:10.1371/journal.pntd.0008085. [24] Tong MX, Hansen A, Hanson-Easey S, et al. Infectious diseases, urbanization and climate change: challenges in future China[J]. Int J Environ Res Public Health, 2015, 12(9): 11025-11036. [25] 丘文洋, 李连发, 张杰昊, 等. 利用空间聚集的贝叶斯网络评估手足口病发病风险[J]. 地球信息科学学报, 2017, 19(8): 1036-1048. QIU Wenyang, LI Lianfa, ZHANG Jiehao, et al. A Bayesian network method considering spatial cluster to evaluate health risk of hand, foot and mouth disease[J]. Journal of Geo-Information Science, 2017, 19(8): 1036-1048. [26] Li CH, Mao JJ, Wu YJ, et al. Combined impacts of environmental and socioeconomic covariates on HFMD risk in China: a spatiotemporal heterogeneous perspective[J]. PLoS Negl Trop Dis, 2023, 17(5): e0011286. doi:10.1371/journal.pntd.0011286. [27] Luan GJ, Liu SN, Zhang WY, et al. Estimating the influence of high temperature on hand, foot, and mouth disease incidence in China[J]. Environ Sci Pollut Res Int, 2023, 30(1): 1477-1484. [28] Cao CX, Li GH, Zheng S, et al. Research on the environmental impact factors of Hand-Foot-Mouth Disease in Shenzhen, China using RS and GIS technologies[C] //IEEE. 2012 IEEE International Geoscience and Remote Sensing Symposium. Munich: IEEE, 2012: 7240-7243. doi:10.1109/IGARSS.2012.6351991. [29] 罗晓风, 湛柳华, 周文, 等. 2010—2011年广州市越秀区手足口病发例数与气象因素和空气污染指数的相关性分析[J]. 中国药物经济学, 2013, 8(S3): 182-184. LUO Xiaofeng, ZHAN Liuhua, ZHOU Wen, et al. Correlation analysis between the number of cases of hand-foot-mouth disease and meteorological factors and air pollution index in Yuexiu District of Guangzhou from 2010 to 2011[J]. China Journal of Pharmaceutical Economics, 2013, 8(S3): 182-184. [30] 梁兆毅, 孟君, 张艳炜, 等. 深圳市2008—2020年手足口病流行特征及EV71疫苗接种对其发病率影响 [J].中国公共卫生, 2023, 39(2): 249-252. LIANG Zhaoyi, MENG Jun, ZHANG Yanwei, et al. Epidemiological characteristics of hand,foot and mouth disease in Shenzhen from 2008 to 2020 and effect of inactivated EV71 vaccine on disease incidence [J]. Chin J Public Health, 2023, 39(2): 249-252. [31] 吴晓娜, 孙瑛, 贾蕾, 等. 室内环境因素和手足口病暴发的相关性研究[J].中华疾病控制杂志, 2012, 16(3): 234-236. WU Xiaona, SUN Ying, JIA Lei, et al. Study on the relationship between indoor environment and outbreaks of hand-foot-mouth disease[J]. Chinese Journal of Disease Control & Prevention, 2012, 16(3): 234-236. |
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