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2005-2010年北京市猩红热发病时空扫描分析 被引量:39

Spatial-temporal scan statistic on scarlet fever cases in Beijing,2005-2010
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摘要 目的探讨2005-2010年北京市猩红热发病时空分布特征,掌握高发重点区域,为预防控制提供理论依据。方法利用SaTScan 9.0软件进行时空扫描分析,通过ArcGIS 9.3软件呈现猩红热时空聚集区域。结果北京市猩红热在2005年4月至2008年1月期间较其他时间高发,为最可能聚集发病的时间段(相对危险度RR=1.65,P=0.001)。单纯空间扫描分析和时空扫描分析均发现北京市西南方向的丰台区、大兴区、房山区和门头沟区,每年均存在猩红热发病异常增多,相对其他区域是一个最可能发病聚集区域(单纯空间扫描分析RR=1.78,P<0.001;时空扫描分析RR=2.07,P<0.001)。同时还发现西北方向的延庆县,昌平区较其他地区高发,为次要聚集区域(单纯空间扫描分析RR=1.50,P<0.001)。另外还发现其他一些地区存在亚聚集状态。结论时空扫描分析方法可以非常好地应用于北京市猩红热高发重点区域分析,结合地理信息系统,能够更加直观、全面地展示了发病聚集区域,为以后开展针对性的预防控制措施,提供了科学参考依据。 Objective To understand the spatial and temporal distributions and the clustering areas of scarlet fever in Beijing from 2005 to 2010,and provide evidence for the disease prevention and control.Methods The spatial-temporal scan statistic was conducted with SaTScan9.0 software and scarlet fever clusters were showed with ArcGIS9.3 software.Results The incidence of scarlet fever was high from April 2005 to January 2007 in Beijing by temporal scan statistic [relative risk(RR) =1.65,P=0.001].The most likely cluster was found in southwestern Beijing by both spatial scan statistic and spatial-temporal scan statistic with statistical significance(RR=1.78 for spatial scan statistic,P0.001,RR=2.07 for spatial-temporal scan statistic,P0.001).The secondary disease clusters were found in Yanqing and Changping counties in northwestern Beijing by spatial scan statistic(RR=1.50,P0.001).The sub-clusters were found in other areas.Conclusion Spatial-temporal scan statistic is fit to analyze the clusters of scarlet fever in Beijing.The clusters can be displayed intuitively and comprehensively by geographic information system,which could provide valuable information for the disease prevention and control.
出处 《疾病监测》 CAS 2011年第6期435-438,共4页 Disease Surveillance
基金 国家高技术研究发展计划(863)计划(No.2008AA02Z416) 北京市自然科学基金(No.7082047)~~
关键词 猩红热 时空聚类分析 时空分析 scarlet fever spatial-temporal clustering spatial-temporal statistic
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参考文献9

  • 1Kulldorff M, Athas WF, Feuer E J, et al. Evaluating cluster alarms:a space-time scan statistic and brain cancer in Los Alamos [J]. Am J Public Health, 1998,88 (9) : 1377 - 1380.
  • 2Kulldorff M. A spatial scan statistic[J]. Theory and Meth, 1997, 26(6) :1481 - 1496.
  • 3Wang XL, Zeng D, Seale H, et al. Comparing early outbreak detection algorithms based on their optimized parameter values [J]. J Biomed Inform,2010,43( 1 ) :97 - 103.
  • 4殷菲,冯子健,李晓松,马家奇.基于前瞻性时空重排扫描统计量的传染病早期预警系统[J].卫生研究,2007,36(4):455-458. 被引量:48
  • 5Kulldorff M. SaTScan user guide for version 9.0[ EB/OL ]. (2010 - 12 - 30 ) [2010 - 07 - 01 ]. http ://www. satscan, org/ techdoc, html.
  • 6Recuenco S,Eidson M, Kulldorff M, et al. Spatial and temporal patterns of enzootic rabies adjusted for multiple covariates [ J/ OL]. Int J Health Geogr,2007,6 ( 1 ) : 14. [ 2007 - 4 - 11 ]. http ://www. ij-healthgeographics, corn/content/6/1 / 14.
  • 7郭菁,周蕾,程显欣.海淀区1993~2002年猩红热流行特征分析[J].疾病监测,2005,20(9):499-499. 被引量:27
  • 8Koh EH, Kim S,Lee NY. Decrease of erythromycin resistance in group a streptococci by change of emm distribution [J]. Jpn J Infect Dis, 2008,61 (4) : 261 - 263.
  • 9Musser JM,Kapur V, Kanjilal S, et al. Geographic and temporal distribution and molecular characterization of two highly pathogenic clones of Streptococcus pyogenes expressing allelic variants of pyrogenic exotoxin A (scarlet fever toxin) [ J ]. J Infect Dis, 1993,167 ( 2 ) :337 - 346.

二级参考文献17

  • 1LOBER WB,KARRAS BT,WANGER MM,et al.Roundtable on bioterrorism detection:information system-based surveillance[J].J Am Med Inform ASSOC.2002,9:105-115.
  • 2WONG WK,MOORE A,COOPER G,Et al.WSARE:What's strange about recent events[J]?J Urban Health,2003,80:166-175.
  • 3TSUI FC,ESPINO JU,DATO VM,et al.Technical description of RODS:A real-time public health surveillance system[J].J Am Med Inform Assoc,2003,10:399-408.
  • 4KLEINMAN K,LAZARUS R,PLATT R.A generalized linear mixed models approach for detecting incident clusters of disease in small areas,with an application to biological terrorism[J].Am J Epidemiol,2004,159:217-224.
  • 5KULLDORFF M,HEFFERNAN R,HARTMAN J,et al.A space-time permutation scan statistic for the early detection of disease outbreaks[J].PLoS Med,2005,2:216-224.
  • 6KULLDORFF M.Prospective time-periodic geographical disease surveillance using a scan statistic[J].J R Slat Soc A Stat Soc,2001,164:6l-72.
  • 7KULLDORFF M.A spatial scan statistic[J].Commun Stat A Theory Methods,1997,26:1481-1496.
  • 8HUTWAGNER LC,MALONEY EK,BEAN NH,et al.Using laboratory-based surveillance data for prevention:An algorithm for detecting salmonella outbreaks[J].Emerg Infect Dis,1997,3:395-400.
  • 9SONESSON C,BOCK D.A review and discussion of prospective statistical surveillance in public health.J R Stat Soc A Slat Soc,2003,166:5-21.
  • 10KULLDORFF M,ZHANG Z,HARTMAN J,et al.Benchmark data and power calculations for evaluating disease outbreak detection methods[J].MMWR Morb Mortal Wkly Rep,2004,53:144-151.

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