[Pattern analysis of tempo-spatial distribution of schistosomiasis in marshland epidemic areas in stage of transmission control]

Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2016 Dec 7;28(6):624-629. doi: 10.16250/j.32.1374.2016201.
[Article in Chinese]

Abstract

Objective: To investigate the tempo-spatial patterns of schistosomiasis in Jiangling County, Hubei Province, so as to identify the risk areas and provide the scientific evidence in following intervention plans for marshland epidemic areas in the stage of transmission control.

Methods: The schistosomiasis epidemiological data in Jiangling County from 2009 to 2013 together with the related geographical information were collected and analyzed. The tempo-spatial distribution patterns were analyzed by the spatial autocorrelation analysis and spatial clustering analysis.

Results: The human infection rate was decreased from 2.15% in 2009 to 0.63% in 2013, which was the historically low level. The results of tempo-spatial analysis showed that there were spatial clustering effects in human schistosomiasis infection for each of the years. The values of spatial autocorrelation index Moran's I were statistically significant. Eighteen and thirty-five clusters were detected by using SatScan and FlexScan software, respectively.

Conclusions: From 2009 to 2013, the schistosomiasis endemic situation in Jiangling County presented a decline trend and reached the historical low level. The identified spatial clustering areas should be targeted as the prioritized areas for schistosomiasis control.

[摘要]目的 了解湖北省江陵县血吸虫病疫情的时空分布特征, 识别风险区域, 为湖沼型流行区在传播控制阶段防治 血吸虫病提供科学依据。 方法 收集2009-2013年江陵县的血吸虫病疫情资料, 结合空间位置信息构建数据库, 进行空 间分析。 结果 江陵县血吸虫病居民感染率由2009年的2.15%下降至2013年的0.63%, 疫情降至历史最低水平。空间 分析结果显示居民血吸虫感染率在空间分布上具有聚集性, 在不同年份全局空间自相关指标Moran’s I 值具有统计学意 义。SaTScan和FleXScan两种时空扫描分析方法分别探测出18个和35个聚集区域。 结论 湖北省江陵县2009-2013年 血吸虫病居民感染率呈逐年稳中下降趋势, 疫情存在空间聚集性, 可根据血吸虫病疫情空间分布特征因地制宜采取防控 策略和措施。.

Keywords: Clustering analysis; Hotspot analysis; Jiangling County; Schistosomiasis; Temporal-spatial distribution.

MeSH terms

  • China
  • Cluster Analysis
  • Epidemics
  • Geography
  • Humans
  • Schistosomiasis / epidemiology*
  • Schistosomiasis / prevention & control
  • Spatio-Temporal Analysis*
  • Wetlands