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Determinants of Dehydration Status and Associated Risk Factors of Cholera Outbreak in Oromia, Ethiopia

机译:埃罗米亚奥罗马尼亚霍乱爆发的脱水状态和相关危险因素的决定因素

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Introductions: Cholera is a diarrheal disease caused by infection of the intestine with the gram-negative bacteria Vibrio cholera. According to updated global burden of cholera estimate 2019 in Ethiopia 68,805,272 populations are at risk of cholera with incidence rate of 4 per 1000 population and case fatality of 3.8% estimated annual number of cases 275,221. Methods: The main objective of this study is to identify the significant risk factors of dehydration status of cholera outbreak in Oromia regional state of Ethiopia. Ordinal logistic regression was used to model the data by incorporating the assumption behind this novel model. Results: The results of the study indicated that of the total 965 cholera patients, most of them 560 (58%) were severely dehydrated by cholera. The overall goodness of model (p-valu=0.07) shows that the model fits the data well. Besides, the proportional odds assumption also revealed that the slop coefficients in the model are the same across dehydration status (p-value=0.094). For those have history of travel, the odds of severely dehydrated versus the combined some dehydrated and no dehydrated was exp (1.133804)=3.11 times higher than those have no history of travel (p-value0.01). All the other factors like history of contact with other patients, other sick patients in the family, Intravenous and Antibiotics drugs are statistically significant with 5% level of significance to determine the status of dehydration. Conclusions: The ordinal logistic regression was fitted the data well and most of the included factors were significant for the dehydration status of cholera outbreak.
机译:介绍:霍乱是一种腹泻病引起的肠炎患者与革兰阴性细菌振动瘤感染。根据更新的全球霍乱估算的埃塞俄比亚估计衡量68,805,272种群有霍乱的风险,发病率为4人口每1000人,病例估计为275,221案件的3.8%。方法:本研究的主要目的是鉴定埃塞俄比亚奥罗马省区域核心爆发的霍乱爆发的显着风险因素。序数逻辑回归通过结合在这部小型模型背后的假设来模拟数据。结果:研究结果表明,总共965名霍乱患者,其中大多数560(58%)被霍乱严重脱水。模型的整体良好(P-Virs = 0.07)表明模型适合数据良好。此外,比例赔率假设还显示模型中的斜坡系数在脱水状态(p值= 0.094)中相同。对于那些有旅行历史,严重脱水的几率与组合的一些脱水和脱水是exp(1.133804)=比没有行驶历史的3.11倍(p值<0.01)。与其他患者接触的历史,家庭中其他病人,静脉内和抗生素药物的所有其他因素都具有统计学意义,具有5%的重要性,以确定脱水状态。结论:序数逻辑回归拟合数据良好,并且大多数因素对于霍乱爆发的脱水状态是显着的。

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