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

Endale Alemayehu, T. Tilahun, Eshetu Mebrate
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引用次数: 1

Abstract

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-value<0.01). 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.
埃塞俄比亚奥罗米亚地区霍乱暴发的脱水状况决定因素及相关危险因素
霍乱是一种由革兰氏阴性菌霍乱弧菌感染肠道引起的腹泻疾病。根据最新的2019年全球霍乱负担估计,埃塞俄比亚有68,805,272人面临霍乱风险,发病率为每千人4人,病死率为3.8%,估计年病例数为275,221例。方法:本研究的主要目的是确定埃塞俄比亚奥罗米亚州地区霍乱暴发脱水状态的重要危险因素。序贯逻辑回归被用来对数据进行建模,并纳入了这个新模型背后的假设。结果:965例霍乱患者中,有560例(58%)为严重脱水。模型总体优度(p值=0.07)表明模型与数据拟合较好。此外,比例赔率假设还揭示了模型中的斜率系数在不同脱水状态下相同(p值=0.094)。有旅行史者发生严重脱水与部分脱水与未脱水相结合的几率是无旅行史者的exp(1.133804)=3.11倍(p值<0.01)。其他因素如与其他患者的接触史、家庭中其他患者、静脉注射和抗生素药物均有统计学意义,5%的显著性水平判断脱水状态。结论:有序logistic回归拟合效果良好,大部分因素对霍乱暴发脱水状况有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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