Multidimensional poverty, encompassing deprivations in education, health, and living standards, is a significant challenge in rural Ethiopia. Despite various development initiatives, poverty remains pervasive in the West Gojjam Zone of northern Ethiopia. This study aims to assess the extent of multidimensional poverty in this region and identify key factors contributing to the likelihood of households experiencing it.
Methods
A cross-sectional survey was conducted in the West Gojjam Zone, involving 628 rural households selected through a multi-stage sampling approach. Descriptive statistics were used to calculate the multidimensional poverty index (MPI), focusing on poverty incidence, gap, and severity. A binary logistic regression model was applied to examine the relationship between household characteristics and the likelihood of being multidimensionally poor.
Results
The study revealed that 93.95% of households in the West Gojjam Zone experience multidimensional poverty, with an intensity of 61.17% and an adjusted multidimensional headcount ratio of 57.47%. Key factors associated with a lower likelihood of multidimensional poverty include land ownership, off-farm income, year-round road access, the frequency of agricultural extension services, and access to loans. Conversely, the age of household heads is positively associated with an increased likelihood of poverty, with older household heads being more vulnerable.
Conclusions
The findings highlight that multidimensional poverty in the West Gojjam Zone is primarily driven by limited access to land, financial services, infrastructure, and agricultural support. Furthermore, older household heads are particularly at risk. To address these challenges, the study recommends policies that focus on enhancing agricultural productivity, expanding access to financial services, improving road infrastructure, and fostering non-farm income-generating activities. Strengthening agricultural extension services is essential to enhancing household resilience and reducing poverty.

Background: Big health data is a large and complex dataset that the health sector has collected andstored continuously to generate healthcare evidence for intervening the future healthcare un-certainty. However, data use for decision-making practices has been significantly low in devel-oping countries, especially in Ethiopia. Hence, it is critical to ascertain which elements influencethe health sector’s decision to adopt big health data analytics in health sectors. The aim of thisstudy was to identify the level of readiness for big health data analytics and its associated factorsin healthcare sectors.Methods: A cross-sectional study design was conducted among 845 target employees using thestructural equation modeling approach by using technological, organizational, and environ-mental (TOE) frameworks. The target population of the study was health sector managers, di-rectors, team leaders, healthcare planning officers, ICT/IT managers, and health professionals.For data analysis, exploratory factor analysis using SPSS 20.0 and structural equation modelingusing AMOS software were used.Result: 58.85 % of the study participants had big health data analytics readiness. Complexity (CX),Top management support (TMS), training (TR) and government law policies and legislation(GLAL) and government IT policies (GITP) had positive direct effect, compatibility (CT), andoptimism (OP) had negative direct effect on BD readiness (BDR)Conclusion: The technological, organizational, and environmental factors significantly contributedto big health data readiness in the healthcare sector. The Complexity, compatibility, optimism,Top management support, training (TR) and government law and IT policies (GITP) had effect onbig health data analytics readiness. Formulating efficient reform in healthcare sectors, especially
or evidence-based decision-making and jointly working with stakeholders will be more relevantfor effective implementation of big health data analytics in healthcare sectors.
Keywords: Big health data, Data analytics, Data management, Health information revolution, Health sectors, Readiness

Eucalyptus is the most preferred exotic species in diferent parts of Ethiopia, particularly in the northern part of the country,including the study area. Socioeconomic, institutional, and endowment variables are an infuence on the production of thisspecies. Te purpose of this study was to identify determinants of Eucalyptus woodlot production for producer farmers in thestudy area. Multistage sampling techniques were used in order to select the district, kebeles, and household heads to beinterviewed. Te district and the kebeles were selected purposefully based on their high potential for Eucalyptus production,whereas ninety-six (96) sampled respondent farmers were selected by using simple random sampling techniques. A multiple linearregression (OLS) model was used to run the determinants of Eucalyptus woodlot production, and descriptive statistics were usedto describe the socioeconomic characteristics of smallholder Eucalyptus producers in the form of means, frequencies, andpercentages. Te respondents use Eucalyptus products for construction and fuel wood. Rural farmers produced about 70% ofconstruction wood products and 30% of fuel wood products annually. Five variables (i.e., woodlot size, woodlot density, andmarket information) signifcantly afected woodlot production, whereas the age of farmers and market distance were negativelyafected. In order to produce better income from Eucalyptus products, the collaboration eforts of all responsible groups (i.e.,farmers, researchers, governments, and others) should be required.

Background: Children on the streets are still vulnerable to early and unsafe sexual experiences. Having multiple sexual partners and the limited use of condoms were major risk factors for the spread of sexually transmitted diseases among youths in Ethiopia.
Objective: This study aimed to explore the risk factors of sexual and reproductive health problems, service utilization, and challenges among street youths in the East Gojjam Zone.
Method: A phenomenological study design was employed on street youths residing in the East Gojjam Zone. Study participants were purposively recruited from four town administrations in the East Gojjam Zone. The primary study unit was street youths who live in the zone. Eight in-depth interviews and eight focus group discussions were conducted. The data were audio recorded and analyzed using inductive thematic analysis.
Results: In this study, the risk factors that exposed street youths to sexual and reproductive health problems included low perceived susceptibility, lack of awareness of sexual and reproductive health, having multiple sexual partners, exposure to pornographic films, and utilization of alcoholic drinks and substances. Mainly, those street youths who were engaged in transactional sexual relationships were utilizing condoms consistently and had regular HIV screening tests. In addition, few street youths ever utilized maternal and child health services. The unsupportive behavior of health professionals, the absence of exact data, the health system, and lack of specific responsible organization on the sexual and reproductive health of street youths were considered major challenges.
Conclusion and recommendation: Most of the street youths were not utilizing reproductive health services. Limitation on the accessibility of sexual and reproductive health services to this segment of the population was the main contributing factor. So, the health system and policy should take front-line responsibility for the sexual and reproductive health of street youths and consider convenient reproductive health service programs for them.

Keywords: Risk factors; Sexual and reproductive health service utilization; Street youths.

Abstract The main purpose of this study is assessing the Root Causes and Possible Way Outs of the Current Armed Conflict in Amhara Region. To acquire sufficient and detail information, mixed research approach, and a descriptive research with cross sectional design had employed that intends to reckon the root causes, aggravating factors, and its way outs. The total numbers of participants were 420for survey, 42 key informants and 64 discussants. Participants were selected from the entire target population using both probability and non-probability sampling techniques. From probability sampling technique; proportional and simple random sampling methods were used to choose research participants. From the non-probability sampling technique on the other hand, purposive sampling method had employed to attain a pivotal and constructive data that pertinent to the study. The data which was obtained from survey questionnaires were analyzed through descriptive statistics (mean), while the qualitative data have been analyzed by narration and thematic methods of analyses. The study found out that the root causes of armed conflict which had happened in Amhara region are human rights violations, living Situation of Amhara‘s ethnic, disband the Amhara regional special force, kidnapping of Amhara ethnic, ethnic based attack, less political representation, identity question, hate speech by higher officials over Amhara peoples, failure of government to keep the security of its people. Due to attack innocent peoples and sexual violence committed by government forces intensified the conflict in the region. Besides, instead of disclose for negotiation, the incumbent government opted to fight Fano militants. Thereby, armed conflict exacerbated and has been endless in the region so far. The finding confirmed that federal government forces, Amhara regional forces, Fano militants, social Medias‘ activists are the actors who involved in and ignite this weapon based conflict in Amhara region. Therefore, amending the constitution, ensure fair distribution of resources and rule of law, protect human rights, give immediate answers for identity question, establish transitional government can address the problem. Key Words: Amhara, Armed conflict, Causes, Way out

Introduction: The magnitude of poor sleep quality among people with asthma is widespread and has detrimental consequences, including a higher chance of having poor work performance, an increase in the frequency of asthma attacks, an increase in the need for overnight hospitalization, and a worse health related quality of life. However, it has not been well studied, especially in low-income countries like Ethiopia. This study's objective was to assess the degree of sleep quality and related factors among people with asthma who had follow-up visits at public hospitals in the East Gojjam Zone.
Methods: An institutional-based cross-sectional study design was conducted among 406 people with asthma through consecutive sampling techniques at public hospitals in East Gojjam Zone from June 6 to July 1, 2022. Sleep quality was measured by the Pittsburgh Sleep Quality Index through a face-to-face interview, and the collected data were entered into Epi Data version 4.4.2 and exported to SPSS version 25 for analysis. Logistic regression was fitted to assess the association between dependent and independent variables. Variables with a P-value

In the absence of a recommended optimal seed rate and nitrogen-phosphorous (NP) fertilizers application for a spe-cific area, achieving maximum bread wheat productivity becomes challenging. To address this issue, this field experi-ment was conducted to evaluate the effect of seed and NP fertilizer rates on growth, yield, and yield components ofbread wheat (Triticum aestivum L.). Factorial combinations of four levels of seed rates of bread wheat (100, 120, 150, and200 kg ha−1 ) and four levels of NP fertilizers rates (64–46, 87–46, 96–69, and 119–69 kg ha−1 of N and P 2 O 5 ) werelaid down in randomized complete block design with three replications. The remaining necessary agronomic practicesand crop management activities were undertaken uniformly. The data presented in this dataset article includes pheno-logical, growth, yield, and yield component parameters that were collected timely following their standard methods andprocedures. All the collected data were subjected to analysis of variance (ANOVA) which was carried out using theSAS version 9.0 software computer program’s General Linear Model (GLM) procedure [1]. the residuals were evalu-ated, as described in Montgomery [2], to confirm the normal distribution and homogeneous variance model assump-tions on the error terms for each response variable. The independence assumption is upheld due to the randomization ofthe sixteen (16) treatment combinations within each block. In cases where a treatment effect was found to be significant,a multiple means comparison was conducted at a 5% significance level using Fisher’s LSD method to create letter group-ings. Additionally, correlation analysis was carried out using the Pearson correlation procedure in SAS. This dataset articleprovides insights into how seed rate and NP fertilizer rates impact bread wheat productivity, as well as the economic viability of optimal seed rate and NP fertilizer rates on bread wheat productivity. The information presented can serve as a valuable resource for researchers looking to examine thesupplementary data and methods in detail, potentially lead ing to new research avenues. Furthermore, it has the potential to foster collaborations and enhance the credibility of the current research data within the scientific community, making it accessible for wider use.
Keywords: Bread wheat, Burie district, Dataset, Grain yield, Seed rate, NP fertilizers, Partial budget analysis

Maize is produced throughout the world and it is also a pri-mary staple food crop in many developing countries. Thefield experiment was conducted during the main rainy sea-son of 2018 in Burie district to study the effects of types andgrowth stages of seedlings on the growth and yield of trans-planted maize (Zea mays L.). Factorial combinations of twotypes of seedlings (bare rooted and poly bagged); five lev-els of seedling’s growth stages (seedlings of 1, 2, 3, 4, and5 true leaf/ves) and one control (direct seeded) were laiddown in randomized complete block design with three repli-cations. Data on phenological, vegetative growth and yield-related parameters were collected following standard meth-ods and procedures. All data were subjected to analysis ofvariance using SAS software, and mean separation for sig-nificant treatments was done by LSD. Both main effects af-fected the number of grains cob−1 , grain, and stover yieldhighly significantly and days to 50% silking very highly signif-
icantly. Types of seedlings affected days to 50% tasselling sig-nificantly; and days to 90% physiological maturity and plantheight highly significantly. In addition, types of seedlingsaffected the number of cobs plant−1 , cob length, numberof grains row−1 and biomass yield, very highly significantly.Seedlings’ growth stages had a very highly significant effecton days to 50% tasseling and days to 90% physiological ma-turity. The number of cobs plant−1 , cob length, number ofgrains row−1 and biomass yield were also highly significantlyaffected by seedlings’ growth stages. The interaction effectwas highly significant on the number of cobs plant−1 , grain,and stover yield and very highly significant on the harvest in-dex. The highest (10.7t ha−1 ) grain yield of maize was foundfrom the transplantation of polybagged seedlings at four trueleaf stages. Although it is difficult to conclude based on oneseason and one location research trial, transplanting of poly-bagged seedlings at four true leaf stages gave superior grainyield. This treatment combination also gave the highest netbenefit with an acceptable range of marginal rate of return.Therefore, transplanting polybagged seedlings at four trueleaf stages is economically feasible and can be recommendedtentatively for Burie District. However; it’s also advised to re-peat the study in areas having terminal moisture stress formaize production.
Keywords: Bare root, Growth stage, Polybagged, Seedling, Transplanting

ABSTRACT Food security remains a critical global challenge, with millions of people suffering from hunger and malnutrition. Agricultural Multi-Purpose Cooperatives (AMPCs) are intended to improve food security by enhancing access to inputs, markets, and services. This study examines the impact of AMPCs on rural household food security in West Gojjam using ordinal logistic regression. Out of a total sample size of 1,122 rural households, 1,068 were included in the analysis. The study employed a cross-sectional research design. The findings revealed that, out of the 1,068 households surveyed, 45.3% were food secure, 22.6% were mildly food insecure and 32.1% were food insecure. Overall, 54.7% experienced some level of food insecurity, highlighting the need for improved food access and support interventions. The multiple ordinal logistic regression analysis revealed that factors such as female-headed households, large household size, smaller landholdings, lack of livestock ownership, absence of non-farm income, limited irrigation access, lack of credit, lack of Market Access, and no use of agricultural inputs significantly increase the likelihood of rural household food insecurity. Based on the results, it is recommended to focus on supporting female-headed households, reducing household size through family planning, improving land access, increasing livestock ownership, promoting non-farm income opportunities, enhancing irrigation access, providing credit, strengthening market linkages, and ensuring the widespread use of agricultural inputs to improve food security. Keywords: Agricultural cooperatives, food security, rural households, West Gojjam, Ethiopia, ordinal logistic regression.

ABSTRACT Food security remains a critical global challenge, with millions of people suffering from hunger and malnutrition. Agricultural Multi-Purpose Cooperatives (AMPCs) are intended to improve food security by enhancing access to inputs, markets, and services. This study examines the impact of AMPCs on rural household food security in West Gojjam using ordinal logistic regression. Out of a total sample size of 1,122 rural households, 1,068 were included in the analysis. The study employed a cross-sectional research design. The findings revealed that, out of the 1,068 households surveyed, 45.3% were food secure, 22.6% were mildly food insecure and 32.1% were food insecure. Overall, 54.7% experienced some level of food insecurity, highlighting the need for improved food access and support interventions. The multiple ordinal logistic regression analysis revealed that factors such as female-headed households, large household size, smaller landholdings, lack of livestock ownership, absence of non-farm income, limited irrigation access, lack of credit, lack of Market Access, and no use of agricultural inputs significantly increase the likelihood of rural household food insecurity. Based on the results, it is recommended to focus on supporting female-headed households, reducing household size through family planning, improving land access, increasing livestock ownership, promoting non-farm income opportunities, enhancing irrigation access, providing credit, strengthening market linkages, and ensuring the widespread use of agricultural inputs to improve food security. Keywords: Agricultural cooperatives, food security, rural households, West Gojjam, Ethiopia, ordinal logistic regression.