Spatial Analysis of HFRS in Liaoning Province
● BackgroundHemorrhagic fever with renal syndrome (HFRS) is endemic in Liaoning Province, China; and this province was the most serious area affected by HFRS during 2004 to 2005. In this study, we conducted a spatial analysis of HFRS cases with the objective to determine the distribution of HFRS cases and to identify key areas for future public health planning and resource allocation in Liaoning Province.● MethodsThe annual average incidence at the county level was calculated using HFRS cases reported between 2000 and 2005 in Liaoning Province. GIS-based spatial analysis were conducted to detect spatial distribution and clustering of HFRS incidence at the county level, and the difference of relative humidity and forestation between the cluster areas and non-cluster areas was analyzed.● ResultsSpatial distribution of HFRS cases in Liaoning Province from 2000 to 2005 was mapped at the county level to show crude incidence, excess hazard, and spatial smoothed incidence. Spatial cluster analysis suggested 16 and 41 counties were at increased risk for HFRS (p＜0.01) with the maximum spatial cluster sizes at≤50％ and≤30％ of the total population, respectively; and the analysis showed relative humidity and forestation in the cluster areas were significantly higher than in other areas.● ConclusionsSome clustering of HFRS cases in Liaoning Province may be etiologically linked. There was strong evidence some HFRS cases in Liaoning Province formed clusters, but the mechanism underlying it remains unknown. In this study we found the clustering was consistent with the relative humidity and amount of forestation; and showed dataindicating there may be some significant relationships.
Hualiang Lin Qiyong Liu Junqiao Guo Jibo Zhang Jinfeng Wang Huaxin Chen
National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Contr National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Contr Liaoning Provincial Center for Disease Control and Prevention, Shenyang, China State Key Laboratory of Resources & Environmental Information System, Chinese Academy of Sciences, B
国际会议
北京国际地理信息系统学术讨论会第七届会议（7th International Workshop Geographical Information System
北京
英文
460-466
2007-09-14（万方平台首次上网日期，不代表论文的发表时间）