scholarly journals Livestock Market Chain Analysis: The Case of Live Cattle in Hadiya Zone of Southern Ethiopia

2021 ◽  
Heliyon ◽  
2021 ◽  
pp. e07597
Author(s):  
Assefa Ayele ◽  
Tessema Erchafo ◽  
Alemayehu Bashe ◽  
Seyfu Tesfeyohannes

2021 ◽  
Author(s):  
Abera Lambebo ◽  
Desselegn Temiru ◽  
Tefera Belachew

Abstract Back ground: In developing countries including Ethiopia, children under five years old are likely to suffer from repeated bouts of SAM. There is lack of study that documented time to relapse of SAM and its determinants. Objective: This study aimed to identify time of relapse and its determinants among children discharged after treatment for SAM in health facilities of Hadiya Zone, South, Ethiopia Methods: An institution based retrospective cohort study was carried out from data spanning from 2014/2015 to 2019/2020. After checking all the assumptions, multivariable CPH model was fitted to isolate independent determinants of time to relapse. All tests were two sided and statistical significance at P values <0.05. Result: The mean(±SD) time for relapse of SAM among under five children was 22(±9.9) weeks from discharge to relapse time. On multivariable CPH model, the hazard of relapse for SAM was significantly higher for children who had edema (AHR =2.02 ,95%, CI: 1.17-3.50), age of 6-11 months (AHR = 5.2, 95%, CI:1.95-13.87), had discharge low MUAC (AHR = 12,95%, CI: 7.90-19.52)Concussion: The finding showed that children discharged from SAM are likely to have relapse in 3 weeks.


Author(s):  
Birhannu Jikamo ◽  
Temesegen Woelamo ◽  
Mekonen Samuel

Abstract Abstract Background: In 2009, in Hadiya zone reported that establishment of Urban Health Extension Program (UHEP) which is subsequent declaration of after the country of Ethiopia. Major contribution of the declared UHEP is to provide accessible service to the potentially vulnerable groups of <5children pregnant women. Therefore, the aim of this study was to assess the utilization and associated factors of the urban health extension program services in Hossana Town, Hadiya Zone, southern Ethiopia, 2018 Methods: we conducted community based cross-sectional study in Hossana town, Hadiya Zone southern Ethiopia. Households were recruited by using systematic random sampling technique and study participants also by using random sampling techniques. A total of 403 study participants were participated in this study. Strength of measure of association between explanatory variables with outcome variable reported using the Odds Ratio (OR) with 95% confidence interval. Bivariate and multivariate binary logistic regression analysis was performed to identify predictors. P-value < 0.05 used to identify factors significantly associated with outcome variable. Results: Out of 403 households, 397(98.5%) of response rate obtained. The mean score of community knowledge about the utilization of urban health extension program service (UHEP) was 2.352 (SD ±1.156. Regarding knowledge towards UHEP, of 166 (42%) of the respondents had good knowledge towards UHEP service while 231 (58%) had poor knowledge towards UHEP service utilization. The total number of households which graduated as a model family was 79 (19.9%). In the adjusted multivariate model, those respondents in the age group of 36-45 year were 3.73 times(AOR = 3.73; 95% CI:1.04-3.37) more likely to be utilized health extension program services as compared with those respondents in the age group of 18-24year. Those households which graduated as a model family were 2.2 times (AOR = 2.18; 95% CI: 1.36- 3.51) higher odds of utilized health extension program service as compared with those households which didn’t graduated as a model family. Conclusions: The coverage of utilization of urban health extension program service was low in the study setting compared with previous study. There were also identified predictors that were associated with utilization of urban health extension program service.


2020 ◽  
Vol Volume 11 ◽  
pp. 399-407
Author(s):  
Binyam Gintamo ◽  
Mohammed Azhar Khan ◽  
Henok Gulilat ◽  
Zeleke Mekonnen ◽  
Rakesh Kumar Shukla ◽  
...  

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