Azage Muluken, Kumie Abera, Worku Alemayehu, Bagtzoglou Amvrossios C
Ethiopian Institute of Water Resources, Addis Ababa University, Addis Ababa, Ethiopia.
School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
PLoS One. 2015 Dec 21;10(12):e0144690. doi: 10.1371/journal.pone.0144690. eCollection 2015.
Childhood diarrhea continues to be a public health problem in developing countries, including Ethiopia. Detecting clusters and trends of childhood diarrhea is important to designing effective interventions. Therefore, this study aimed to investigate spatiotemporal clustering and seasonal variability of childhood diarrhea in northwest Ethiopia.
Retrospective record review of childhood diarrhea was conducted using quarterly reported data to the district health office for the seven years period beginning July 1, 2007. Thirty three districts were included and geo-coded in this study. Spatial, temporal and space-time scan spatial statistics were employed to identify clusters of childhood diarrhea. Smoothing using a moving average was applied to visualize the trends and seasonal pattern of childhood diarrhea. Statistical analyses were performed using Excel® and SaTScan programs. The maps were plotted using ArcGIS 10.0.
Childhood diarrhea in northwest Ethiopia exhibits statistical evidence of spatial, temporal, and spatiotemporal clustering, with seasonal patterns and decreasing temporal trends observed in the study area. A most likely purely spatial cluster was found in the East Gojjam administrative zone of Gozamin district (LLR = 7123.89, p <0.001). The most likely spatiotemporal cluster was detected in all districts of East Gojjam zone and a few districts of the West Gojjam zone (LLR = 24929.90, p<0.001), appearing from July 1, 2009 to June 30, 2011. One high risk period from July 1, 2008 to June 30, 2010 (LLR = 9655.86, p = 0.001) was observed in all districts. Peak childhood diarrhea cases showed a seasonal trend, occurring more frequently from January to March and April to June.
Childhood diarrhea did not occur at random. It has spatiotemporal variation and seasonal patterns with a decreasing temporal trend. Accounting for the spatiotemporal variation identified in the study areas is advised for the prevention and control of diarrhea.
儿童腹泻在包括埃塞俄比亚在内的发展中国家仍然是一个公共卫生问题。检测儿童腹泻的聚集情况和趋势对于设计有效的干预措施很重要。因此,本研究旨在调查埃塞俄比亚西北部儿童腹泻的时空聚集情况和季节性变化。
利用2007年7月1日开始的七年期间每季度向地区卫生办公室报告的数据,对儿童腹泻进行回顾性记录审查。本研究纳入了33个地区并进行了地理编码。采用空间、时间和时空扫描空间统计方法来识别儿童腹泻的聚集情况。使用移动平均法进行平滑处理,以可视化儿童腹泻的趋势和季节性模式。使用Excel®和SaTScan程序进行统计分析。地图使用ArcGIS 10.0绘制。
埃塞俄比亚西北部的儿童腹泻呈现出空间、时间和时空聚集的统计学证据,研究区域内观察到季节性模式和时间趋势下降。在戈扎明区的东戈贾姆行政区发现了一个最有可能的纯空间聚集区(对数似然比=7123.89,p<0.001)。在东戈贾姆区的所有地区和西戈贾姆区的一些地区检测到最有可能的时空聚集区(对数似然比=24929.90,p<0.001),出现时间为2009年7月1日至2011年6月30日。在所有地区观察到一个从2008年7月1日至2010年6月30日的高风险期(对数似然比=9655.86,p = 0.001)。儿童腹泻病例高峰呈现季节性趋势,1月至3月和4月至6月更为频繁。
儿童腹泻并非随机发生。它具有时空变化和季节性模式,且时间趋势呈下降趋势。建议在腹泻的预防和控制中考虑研究区域内确定的时空变化。