Factors Affecting Fruit Supply in the Market: The Case of Habru Woerda, North Wollo, Ethiopia Regional State, Ethiopia

This research has analyzed the factors influencing fruit market supply in the study area of fruit for Habru Woreda, North Wollo Zone, Amhara National Regional State. The specific objectives of the study were factors influencing fruit market supply in the study area.  A multi-stage sampling technique was used to select sample fruit farmers .from the woreda, 4 kebeles producing fruit were selected purposively and the total population that produces fruit with cereal farming system were772 and 263 farmer sample size were selected using proportional stratified sampling technique. Finally based on the sampling frame from each kebele, random sampling technique was used to select the sample fruit producing farmers. The data were collected by semi structured questionnaires, and observation. Econometrics analyses were consistently used in this study. Based on regression model, the study has identified the main determinants of fruit quantity supply to the market. Education level of house hold head, market information, access to extension services, quantity of fruit produced, are factors that significantly affect quantity of fruit supplied to the market positively at 5%, 5%, 1% , and 1% confidence level respectively while distance to market affects the supply negatively at 1% confidence level. Keywords: supply chain, fruit market supply,quantity supplied market information Habru Wored

Factors Affecting Fruit Supply in the Market: The Case of Habru Woerda, North Wollo, Ethiopia

This research has analyzed the factors influencing fruit market supply in the study area of fruit for Habru Woreda, North Wollo Zone, Amhara National Regional State. The specific objectives of the study were factors influencing fruit market supply in the study area.  A multi-stage sampling technique was used to select sample fruit farmers .from the woreda, 4 kebeles producing fruit were selected purposively and the total population that produces fruit with cereal farming system were772 and 263 farmer sample size were selected using proportional stratified sampling technique. Finally based on the sampling frame from each kebele, random sampling technique was used to select the sample fruit producing farmers. The data were collected by semi structured questionnaires, and observation. Econometrics analyses were consistently used in this study. Based on regression model, the study has identified the main determinants of fruit quantity supply to the market. Education level of house hold head, market information, access to extension services, quantity of fruit produced, are factors that significantly affect quantity of fruit supplied to the market positively at 5%, 5%, 1% , and 1% confidence level respectively while distance to market affects the supply negatively at 1% confidence level. Keywords: supply chain, fruit market supply,quantity supplied market information Habru Wored

Structure, Conduct, and Performance (SCP) of Fruit Marketing in Ethiopia

This article has analyzed the structure, conduct and performance (SCP) of fruits marketing in Ethiopia. The specific objectives of the study were to identify the major fruit marketing channels and evaluate the market margins for key fruit marketing channels in the study area. A multi-stage sampling technique was used to select sample fruit farmers. The data were collected by semi structured questionnaires, and rapid market appraisal. Results from the descriptive analysis shows that local collectors and retailers are the most important buyers of fruit from producers. The market actors in the survey period were producers, rural assemblers, retailers, wholesalers and consumers. Fruit  production was constrained by lack of market to absorb the production; large number of middlemen in the marketing system, absence (weakness) of marketing institutions safeguarding farmers' interest and rights over their marketable produces (e.g. cooperatives); lack of coordination among producers to increase their bargaining power. The contribution of this study provides additional evidence to the existing body of knowledge in marketing research by researching the significance of SCP in the fruit marketing chain analysis in Ethiopia. Besides, this investigation adds to the literature to better understand why some marketing chain succeeds and others fail, and it underpins the structure, conduct and performance model to be context specific. Keywords: Marketing System, Structure, Conduct and Performance, fruit, Ethiopia DOI: 10.7176/JMCR/68-01 Publication date:May 31st 202

Challenges of Doing Business in South Wollo Zone

The objective of this study is to analysis the challenges of doing business in case of Dessie City, South Wollo and Oromiya special zones. The study covers to challenges of doing business with respect to the role of Government, Business and consumer, and pinpoint the major sources of challenges and problems that hinder enabling business environment. To achieve the objective, study has adopted both qualitative and quantitative method of research approaches. Specifically, the study employed descriptive research designs and questionnaire was used the data collection instruments. To do so, 357 samples have been taken from target population based on sample size determination formula with stratified sampling techniques.  Descriptive statistics, narrative analysis, have used as data analysis techniques the study. The study found that documentary requirements, infrastructure, public service, rules and regulations were the major challenges doing business in case of Dessie City, South Wollo and Oromiya special zones. The study concludes that most of problems are caused by government’s legal, administrative and institutional inefficiency and lack of strong associations and absence of consumer right advocacy group to expose illegal trade practice are among the mentioned problems. Accordingly, the study recommended that government should have to take Lions share through legal, technological and institutional reform to improve all aspects of doing business and consumers have had their own role in improving endeavor of current business problems in the study areas. Keywords: Doing Business, Challenges, South Wollo Zone DOI: 10.7176/JESD/13-19-03 Publication date:October 31st 202

Fore-Stomach Foreign Bodies: prevalence, associated risk factors and types affecting cattle slaughtered at Gondar ELFORA abattoir, northwest Ethiopia

In Ethiopia, recurrent drought and feed shortage coupling with high level of environmental pollution predispose the animals to foreign body  ingestion. A cross-sectional study with systematic random sampling approach was employed from November 2018 to April, 2019 with the objectives of estimating the prevalence; identify associated risk factors and to categorize the types of foreign body in cattle slaughtered at Gondar ELFORA Abattoir. Ante-mortem and postmortem examinations were used to collect the data. From the total of 384 animals examined, the overall prevalence of foreign body was 83(21.61%). Adult and old animals were 4.33 (95% CI=0.98, 19.00, p=0.052) and 4.54 (95% CI=1.03, 19.96, p=0.045) times more likely to have a chance of getting foreign body than young animals by keeping another factors constant, respectively. However, the difference is not statistically significant for adult cattle. Moreover, poor and medium body conditioned animals were 2.19 (95% CI=1.04, 4.56, p=0.037) and 1.51 (95% CI=0.72, 3.13, p=0.273) times more likely to acquire foreign bodies than good body conditioned animals by keeping another factors constant. In the positive cases (N=83), 41(49.40%), 34(40.96%), 8(9.64%) and 0(0%) of the foreign bodies were found in the rumen, reticulum, both rumen and reticulum, and omasum, respectively. Majority of foreign bodies identified (79.51%) were non-metallic in nature, including clothes, plastics, rope,  sand and stone. Designing and implementation of appropriate solid waste disposal and management practices are strongly recommended to reduce the risk of ingestion of indigestible foreign bodies. Keyword: Abattoir; Cattle; Foreign body; Fore stomach; Prevalenc

Assessment of Midwifery and Nursing Students’ Nutrition Competence in Ethiopia: A Cross Sectional Study

Background: Malnutrition is a major public health problem in Ethiopia contributing to half of infant and child mortality. The 2014 mini Ethiopian Demographic and Health Survey revealed that four out of ten children under five are stunted, nearly one out of ten are wasted, and a quarter are underweight. One of the factors that contributed to the high stunting rate is the shortage of capable providers who are competent to provide nutrition services. The purpose of this study was to assess graduating midwifery and nursing students’ nutrition competence and explore the factors that influence their competence. Methods: A cross-sectional survey was employed in June 2015. Students’ knowledge was assessed using objective written assessment questions; and their skills were assessed using a five-station objectively structured clinical examination. Students’ perception of the nutrition learning environment and their learning experience was obtained by administering a structured questionnaire using interviews. Bivariate and multivariable analysis, including Chi-square test and independent sample t-test, were used to detect statistically significant associations or differences. Results: A total of 113 students from four public universities in Ethiopia participated in the study. Only 38.1% of students demonstrated adequate competency in nutrition. The mean percentage score for nutrition knowledge and skills were 63.8% and 46.6% respectively. There was no statistically significant difference between midwifery and nursing students’ nutrition competence (P\u3e0.05). Both cadres scored a mean value above 50% in the knowledge assessment, except in the competency areas of nutrition and HIV. However, both showed lesser competence in performing basic nutrition skills such as anthropometry. Midwives scored higher than nurses on counseling mothers on optimal breast feeding (p=0.001). The majority (98.2%) of students reported that they had no access to nutrition skills laboratory when they took the nutrition course. In multivariable analysis, students who perceived the practice sites as conducive for nutrition skills learning achieved higher levels of competence. Conclusions: The target students were deficient in nutrition competencies. The study suggests revision of midwifery and nursing curricula for adequacy and relevance of nutrition contents, learning and assessment techniques. Nutrition skills learning both in skills lab and at clinical and practical settings need to be strengthened

Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017

Background: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment. Methods: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2\ub75th percentile and 100 as the 97\ub75th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings: The global median health-related SDG index in 2017 was 59\ub74 (IQR 35\ub74–67\ub73), ranging from a low of 11\ub76 (95% uncertainty interval 9\ub76–14\ub70) to a high of 84\ub79 (83\ub71–86\ub77). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation: The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains—curative interventions in the case of NCDs—towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions—or inaction—today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030

Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Background: Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods: We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10–54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10–14 years and 50–54 years was estimated from data on fertility in women aged 15–19 years and 45–49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. Findings: From 1950 to 2017, TFRs decreased by 49·4% (95% uncertainty interval [UI] 46·4–52·0). The TFR decreased from 4·7 livebirths (4·5–4·9) to 2·4 livebirths (2·2–2·5), and the ASFR of mothers aged 10–19 years decreased from 37 livebirths (34–40) to 22 livebirths (19–24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83·8 million people per year since 1985. The global population increased by 197·2% (193·3–200·8) since 1950, from 2·6 billion (2·5–2·6) to 7·6 billion (7·4–7·9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2·0%; this rate then remained nearly constant until 1970 and then decreased to 1·1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2·5% in 1963 to 0·7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2·7%. The global average age increased from 26·6 years in 1950 to 32·1 years in 2017, and the proportion of the population that is of working age (age 15–64 years) increased from 59·9% to 65·3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1·0 livebirths (95% UI 0·9–1·2) in Cyprus to a high of 7·1 livebirths (6·8–7·4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0·08 livebirths (0·07–0·09) in South Korea to 2·4 livebirths (2·2–2·6) in Niger, and the TFR over age 30 years (TFO30; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0·3 livebirths (0·3–0·4) in Puerto Rico to a high of 3·1 livebirths (3·0–3·2) in Niger. TFO30 was higher than TFU25 in 145 countries and territories in 2017. 33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2·0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. Interpretation: Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress

Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017.

BACKGROUND: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of 'leaving no one behind', it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990-2017, projected indicators to 2030, and analysed global attainment. METHODS: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0-100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator

Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.

The Global Burden of Diseases, Injuries and Risk Factors 2017 includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data. METHODS: We estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting