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Spatial distribution of incomplete immunization among under-five children in Ethiopia: evidence from 2005, 2011, and 2016 Ethiopian Demographic and health survey data

机译:埃塞俄比亚下五名儿童不完全免疫的空间分布:从2005年,2011年和2016年埃塞俄比亚人口统计和健康调查数据的证据

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An estimate of 2–3 million children under 5 die in the world annually due to vaccine-preventable disease. In Ethiopia, incomplete immunization accounts for nearly 16% of under-five mortality, and there is spatial variation for vaccination of children in Ethiopia. Spatial variation of vaccination can create hotspot of under vaccination and delay control and elimination of vaccine preventable disease. Thus, this study aims to assess the spatial distribution of incomplete immunization among children in Ethiopia from the three consecutive Ethiopia demographic and health survey data. A cross-sectional study was employed from Ethiopia demographic and health survey (2005, 2011and 2016) data. In total, 7901mothers who have children aged (12–35) months were included in this study. ArcGIS 10.5 Software was used for global and local statistics analysis and mapping. In addition, a Bernoulli model was used to analyze the purely spatial cluster detection of incomplete immunization. GWR version 4 Software was used to model spatial relationships. The proportion of incomplete immunization was 74.6% in 2005, 71.4% in 2011, and 55.1% in 2016. The spatial distribution of incomplete immunization was clustered in all the study periods (2005, 2011, and 2016) with global Moran’s I of 0.3629, 1.0700, and 0.8796 respectively. Getis-Ord analysis pointed out high-risk regions for incomplete immunization: In 2005, hot spot (high risk) regions were detected in Kefa, Gamogofa, KembataTemibaro, and Hadya zones of SNNPR region, Jimma zone of Oromiya region. Similarly, Kefa, Gamogofa, Kembatatemibaro, Dawuro, and Hadya zones of SNNPR region; Jimma and West Arsi zones of Oromiya region were hot spot regions. In 2016, Afder, Gode, Korahe, Warder Zones of Somali region were hot spot regions. Geographically weighted regression identified different significant variables; being not educated and poor wealth index were the two common for incomplete immunization in different parts of the country in all the three surveys. Incomplete immunization was reduced overtime across the study periods. The spatial distribution of incomplete immunization was clustered and High-risk areas were identified in all the study periods. Predictors of incomplete immunization were identified in the three consecutive surveys.
机译:由于可预防疫苗的疾病,每年在世界上死亡2-300万儿童估计。在埃塞俄比亚,不完整的免疫占近五个死亡率的近16%,并且存在埃塞俄比亚儿童的空间变化。疫苗接种的空间变化可以在接种疫苗接种和延迟控制和消除疫苗可预防疾病的情况下产生热点。因此,本研究旨在评估埃塞俄比亚儿童不完全免疫的空间分布,从三个连续的埃塞俄比亚人口和健康调查数据。埃塞俄比亚人口和健康调查(2005年,2016年)数据采用了横断面研究。这项研究中有7901岁儿童(12-35)个月的7901名母亲。 ArcGIS 10.5软件用于全局和本地统计分析和映射。此外,使用Bernoulli模型来分析不完全免疫的纯粹空间簇检测。 GWR版4软件用于模拟空间关系。 2005年的不完全免疫的比例为74.6%,2011年71.4%,2016年为55.1%。在所有研究期间(2005年,2011年和2016年)聚集了不完全免疫的空间分布,其中包含0.3629的全球莫兰, 1.0700和0.8796分别。 Getis-Ord分析指出了不完整免疫的高风险区域:2005年,在Kefa,Gamogofa,Kembatatemibaro和SNNPR地区的吉米地区的Hadya区检测到热点(高风险)区域。同样,Kefa,gamogofa,kembatatemibaro,dawuro和snnpr地区的Hadya区;奥罗米亚地区的Jimma和West Arsi区是热点地区。 2016年,Abder,Gode,Korahe,索马里地区的守护区是热点地区。地理加权回归鉴定了不同的显着变量;没有受过教育,财富指数贫困是全国各地不同地区的不完整免疫的共同点。在研究期间,不完全免疫减少加班。在所有研究期间发现不完全免疫的空间分布是聚类的,并且在所有研究期间发现了高风险区域。在三次连续调查中鉴定了不完全免疫的预测因素。

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