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陈思秇, 孙立梅, 马文军, 肖建鹏, 刘涛, 祝光湖, 张兵, 吴为. 基于贝叶斯时空模型广州市手足口病精细时空尺度下发病影响因素分析[J]. 中国公共卫生, 2020, 36(8): 1171-1176. DOI: 10.11847/zgggws1121488
引用本文: 陈思秇, 孙立梅, 马文军, 肖建鹏, 刘涛, 祝光湖, 张兵, 吴为. 基于贝叶斯时空模型广州市手足口病精细时空尺度下发病影响因素分析[J]. 中国公共卫生, 2020, 36(8): 1171-1176. DOI: 10.11847/zgggws1121488
Si-yi CHEN, Li-mei SUN, Wen-jun MA, . Risk factors of hand, foot, and mouth disease in Guangzhou city, 2010 – 2014: a Bayesian fine-scale spatio-temporal modeling analysis[J]. Chinese Journal of Public Health, 2020, 36(8): 1171-1176. DOI: 10.11847/zgggws1121488
Citation: Si-yi CHEN, Li-mei SUN, Wen-jun MA, . Risk factors of hand, foot, and mouth disease in Guangzhou city, 2010 – 2014: a Bayesian fine-scale spatio-temporal modeling analysis[J]. Chinese Journal of Public Health, 2020, 36(8): 1171-1176. DOI: 10.11847/zgggws1121488

基于贝叶斯时空模型广州市手足口病精细时空尺度下发病影响因素分析

Risk factors of hand, foot, and mouth disease in Guangzhou city, 2010 – 2014: a Bayesian fine-scale spatio-temporal modeling analysis

  • 摘要:
      目的  了解广东省广州市手足口病的流行特征及其发病影响因素,为开展手足口病的综合防控提供科学依据。
      方法  收集广州市2010 — 2014年手足口病病例数据、气象数据和社会经济人口数据,应用描述性统计分析方法和贝叶斯时空模型分析手足口病的流行特征及其发病的影响因素。
      结果  广州市2010 — 2014年共报告手足口病发病289 216例,其中2010、2011、2012、2013和2014年分别发病35 416、46 277、55 015、71 905和80 603例,发病率分别为319.53/10万、364.36/10万、431.44/10万、560.05/10万和626.23/10万,广州市手足口病发病率呈逐年上升趋势(χ2趋势 = 17 406.20,P < 0.001)。广州市2010 — 2014年男性手足口病发病率(556.60/10万)高于女性手足口病发病率(364.58/10万),差异有统计学意义(χ2 = 12 383.86,P < 0.001);年龄 ≤ 5岁儿童手足口病发病最多,占总发病数的95.06 %;手足口病发病以散居儿童为最多,占总发病数的74.80 %;手足口病发病数从3月份开始增加,全年有4 — 7月和9 — 10月2个发病高峰;发病率较高的区域主要集中在城乡结合地区、流动人口较多的地区及远郊地区,其中大石街、黄村街、凤凰街、新华街、沙面街、大沙街发病率较高。贝叶斯时空模型结果显示,城中村比例增加和人均国内生产总值增加是广州市手足口病发病的危险因素,后验估计相对风险分别为2.657(95 % CI = 2.019~3.481)和1.012(95 % CI = 1.007~1.017);周平均气温上升和公交车站数目增加是广州市手足口病发病的保护因素,后验估计相对风险分别为0.995(95 % CI = 0.993~0.997)和0.996(95 % CI = 0.995~0.997)。
      结论  城中村比例、人均国内生产总值、周平均气温和公交车站数目是广州市手足口病发病的主要影响因素,减少该病的发生需要采取综合的防控措施。

     

    Abstract:
      Objective  To examine incidence characteristics and the risk factors of hand, foot, and mouth disease (HFMD) in Guangzhou city, Guangdong province, and to provide evidences for prevention and control of the disease.
      Methods  Data on reported HFMD incidences in Gurangzhou city from January 2010 through 2014 were collected from National Information System for Disease Control and Prevention; relevant socio-economic and meteorological data for the period were also retrieved. Descriptive statistics were performed to describe the incidence characteristics and Bayesian spatio-temporal model was applied to explore risk factors of the disease.
      Results  During the 5-year in the city, totally 289 216 HFMD incidents were reported, with the yearly case number (incidence rate) of 35 416 (319.53/100 000), 46 277 (364.36/100 000), 55 015 (431.44/100 000), 71 905 (560.05/100 000), and 80 603 (626.23/100 000) in 2010, 2011, 2012, 2013, and 2014, respectively, and a significantly increasing trend (χ2 = 17 406.20, P < 0.001) . In the period, the HFMD incidence rate was significantly higher among the male residents than among the female residents (556.60/100 000 vs. 364.58/100 000; χ2 = 12 383.86, P < 0.001) . The age-specific incidence rate was the highest for children aged ≤ 5 years and the HFMD cases of the age group accounted for 95.06% of the all the cases, of which, 74.80% were scattered living children. An obvious increase in reported HFMD incidents and two seasonal epidemic peaks from April to July and from September to October in a year were observed. The incidence rate was higher in urban-rural fringe zones, residential areas of with more migrant people, and outer suburbs, and 6 communities with much higher incidence rate were identified in these areas. The results of Bayesian spatio-temporal model analysis indicated that the increases in the number of urban village and the amount gross domestic production (GDP) per capita were risk factors of HFMD incidence in Guangzhou city, with the posterior median of relative risk of 2.657 (95% confidence interval 95% CI: 2.019 – 3.481) and 1.012 (95% CI: 1.007 – 1.017) ; while, the increases in the average weekly temperature and the number of bus station were protective factors against HFMD, and with the posterior median of relative risk of 0.995 (95% CI: 0.993 – 0.997) and 0.996 (95% CI: 0.995 – 0.997), respectively.
      Conclusion  The proportion of urban village, GDP per capita, average weekly temperature, and the number of bus station are main impact factors for HFMD epidemic and comprehensive countermeasures should be taken to control the incidence of the disease in Guangzhou city.

     

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