Western Ethiopia Research Articles

Optimizing crop geometry for enhanced growth and yield of soybean [Glycine max L. (Merrill)] maturity groups in western Ethiopia

AbstractIncreasing soybean [Glycine max L. (Merrill)] productivity relies heavily on optimizing crop geometry, encompassing both inter‐ and intra‐row spacing. This crucial agronomic practice directly impacts the productivity of soybean crops, making it vital for farmers to consider soybean maturity group when determining optimal crop geometry. Hence, the study was conducted to determine the effect of inter‐ and intra‐row spacing on yield and yield components of soybean varieties and to determine appropriate plant spacing for each maturity group of soybean varieties to achieve a high yield of soybean in the study area. Two soybean varieties from each maturity group, four inter‐row spacing (30, 40, 50, and 60 cm), and two intra‐row spacing (5 and 10 cm) were arranged in factorial combinations in randomized complete block design with three replications. The results showed that days to flowering, days to maturity, plant height, number of seeds/pod, number of pods/plant, and 100‐seed weight were significantly influenced by the main effect of varieties, inter‐ and intra‐row spacing for each maturity group of soybean varieties. The highest grain yield was recorded from narrow inter‐row spacing for early and medium maturity groups regardless of intra‐row spacing while the highest grain yield was obtained from 50‐cm inter‐row spacing for late maturing groups. Thus, it can be concluded that 40‐cm inter‐row spacing is recommended for early and medium soybean varieties, while 50‐cm inter‐row spacing is recommended for late‐maturing soybean varieties for western parts of Oromia and similar agroecologies.

Improving health behaviours and attitudes around podoconiosis in Northern Western Ethiopia: Implementation and intervention effectiveness.

Assessing how interventions are implemented is essential to understanding why interventions may or may not achieve their intended outcomes. There is little evidence about how interventions against Neglected Tropical Diseases (NTDs) are being implemented. Guided by the Context and Implementation of Complex Intervention (CICI) framework, we evaluated an ongoing intervention against the NTD podoconiosis to examine the implementation process and its effectiveness in terms of improving shoe wearing practices, increasing knowledge and reducing stigmatizing attitudes towards podoconiosis in rural Ethiopia. We employed an exploratory mixed methods approach, qualitative followed by quantitative, between April and July 2022 to assess implementation agents, theory, strategy, process and outcomes of the intervention. We conducted document analysis, observations, focus group discussions, in-depth interviews and key informant interviews for the qualitative phase. We administered a survey to 369 rural residents, of whom 42 were affected by podoconiosis. The implementers utilized government healthcare centers in a bid to mainstream podoconiosis services within local healthcare structures. The implementers provided training for health professionals and the public and distributed supplies to patients over a three-month period. The intervention reached 62% of patients, but female patients were less likely to participate than male patients. Only 18% of community members had participated in health education campaigns linked to the intervention. Involvement in the intervention resulted in improved shoe wearing practice and holding fewer stigmatizing attitudes. However, internalized stigma among patients was still rife; and the plan to utilize community assets to extend the intervention activities was not effective. Implementers must monitor the fidelity and progression of programs on a constant basis to make corrections. They also need to expand health education, provide psychosocial support and design economic empowerment programs for patients to reduce stigma. They must also collaborate with policy makers and international partners to sustain program activities at intervention delivery points.

Prevalence and associated risk factors of Cryptosporidium infection in calves and hospitalized humans in Libo Kemkem, North Western Ethiopia.

Cryptosporidium infection is one of the major causes of acute gastroenteritis and diarrhoea caused by a protozoan parasite affecting vertebrates and humans. The disease is prevalent in cases of immunocompromised individuals. Despite the impact of the diseases in calf and hospitalized humans, well-documented studies are not available in the study area. The objectives of this study were to determine the prevalence of Cryptosporidium infection in calves and hospitalized humans and assess the major associated risk factors associated with Cryptosporidium infection in calves and hospitalized humans. A cross-sectional study was conducted from November 2020 to March 2021 on calf and human Cryptosporidium infection in Libo Kemkem District, North West Ethiopia. A total of 193 calves and 122 human stool samples admitted to the hospital were used for this study. Three kebeles were selected purposely, and individual calves were selected using a simple random sampling method. A number of sampled calves were allocated proportionally to the selected kebeles. Human samples were collected using a systematic random sampling method. Faecal and stool samples were examined using a modified Ziehl-Neelsen staining method. The overall prevalence of calf and human Cryptosporidium infection found in this study was 15.5% and 11.5%, respectively. Age of calf, breed, body condition, water source, faecal consistency and hygienic condition were found significantly (p<0.05) associated with Cryptosporidium infection in the calf. Similarly, the source of potable water, immunocompromisation and contact with domestic animals were found to be significantly (p<0.05) associated with Cryptosporidium infection in humans. There was a higher prevalence of Cryptosporidium infection in calves and humans in Libo Kemkem District. Therefore, the implementation of proper prevention methods of zoonotic Cryptosporidium infection between calf and human beings through significant risk factors is mandatory. Furthermore, additional studies to investigate the levels of economic importance of the disease should be conducted.

Differing Land Use Strategies and Effects in Preexisting Livelihood Systems and Natural Environments of Lower Didessa Valley, Western Ethiopia

The continuous encroachment of highland cultivators into the lower Didessa River Valley in west Ethiopia since the mid-20th century has brought environmental, economic, and social changes. This study aimed to depict land use changes and their subsequent impacts on preexisting livelihoods and the environment. The travelers’ records, structured interviews with the local communities, and various documents were collected and analyzed qualitatively. The study revealed that the intensified systems of surplus production since 1950 have remarkable and distinct historical political ecology features and impacts by displacing preexisting livelihood systems and reshaping the social and environmental settings in the valley. Thus, (re)considering policies and programs is important to realize sustainable development in the valley. Moreover, further multi-disciplinary research is necessary to understand land use systems and the ecological situations of the Mecha Oromo and Nilotes when planning interventions in the valley.

Concordant fatal congenital anomaly in twin pregnancy: a case report and review of the literature

BackgroundWhen a pregnant mother finds out she has a fetus with a congenital defect, the parents feel profound worry, anxiety, and melancholy. Anomalies can happen in singleton or twin pregnancies, though they are more common in twin pregnancies. In twins, several congenital defects are typically discordant.Case summaryWe present a rare case of concordant fatal anomaly in twin pregnancy in a 22-year-old African patient primigravida mother from Western Ethiopia who presented for routine antenatal care. An obstetric ultrasound scan showed anencephaly, meningomyelocele, and severe ventriculomegaly. After receiving the counseling, the patient was admitted to the ward, and the pregnancy was terminated with the medical option. Following a successful in-patient stay, she was given folic acid supplements and instructed to get preconception counseling before getting pregnant again.ConclusionThe case demonstrates the importance of early obstetric ultrasound examination and detailed anatomic scanning, in twin pregnancies in particular. This case also calls for routine preconceptional care.

Distribution of wheat stem rust (Puccinia graminis f. sp. tritici) and its association with biophysical factors and cultivation practices in Horro Guduru Wollega highlands, Western Ethiopia

Distribution of wheat stem rust (Puccinia graminis f. sp. tritici) and its association with biophysical factors and cultivation practices in Horro Guduru Wollega highlands, Western Ethiopia

Path Analysis and Correlations Among Yield and Related Traits in Different Genotypes of Soybean (Glycine Max (L.) Merill) in the Benishangul Gumuz Region, Western Ethiopia

Soybean is a warm-climate industrial crop, thrives in low- to medium-altitude legume crops. However, its production in Ethiopia lags behind global standards due to limited improved varieties and reliance on narrow genetic base materials, resulting in low productivity. Consequently, an experiment was undertaken to evaluate the genetic variability and associations among traits in various soybean genotypes concerning grain yield and related factors. Forty-nine soybean genotypes were assessed using a simple lattice design with two replications at Assosa Agricultural Research Center during the main cropping season of 2020. The majority of the characteristics displayed positive correlations both at phenotypic and genotypic levels. Seed yield had highly significant and positive correlations, genetically and phenotypically, with the total number of seeds/ plant, number of pods/primary branch per plant, and the weight of a hundred seeds, indicating the potential for concurrent enhancement of grain yields and these associated traits. The total number of seeds/ plant had the greatest genotypic (0.94) and phenotypic (0.51) -+direct influence on seed yield, followed by the number of pods/primary branch per plant and the weight of a hundred seeds, which showed higher genotypic direct effects on seed yield. This suggests that specific emphasis should be placed on these traits for direct selection aimed at improving yield. Moreover, through examinations of genetic diversity, it has been confirmed that there exists significant variability among the evaluated genotypes. This discovery offers valuable insights for future soybean breeding programs. The identification of such variability is crucial as it allows breeders to select and develop soybean varieties with desirable traits, ultimately contributing to the improvement and advancement of soybean varieties.

Genetic Variability and Cluster Analysis of Faba Bean (&amp;lt;i&amp;gt;Vicia faba&amp;lt;/i&amp;gt; L.) Genotypes in Debre Tabor, Northwestern Ethiopia

Faba bean, a globally important pulse, offers genetic variation for plant breeders, although information on this variability is scarce in Ethiopia. Therefore, the study was conducted to assess the genetic variability of genotypes using 49 genotypes with 7 × 7 simple lattice designs. The experiment was conducted at in Fogera National Rice Research and Training Center at Debre Tabor research site in north western Ethiopia. Analysis of variance revealed that there were highly significant differences among forty-nine genotypes for all studied traits (days to flowering, days to maturity, grain filling period, number of branch, plant height, pod per plant, biomass yield, harvest index, hundred seed weight, chocolate spot and seed yield). High GCV and PCV was observed in pod per plant and chocolate spot both at genotypic and phenotypic level including number of branch at phenotypic level. Moderate to high heritability estimates were observed in all studied traits. A high genetic advance in percent of mean was observed in the number of branches per plant, the number of pods per plant, grain yield, seed weight, and chocolate spot. In conclusion, the study found that the ET 07013-1 and ET 07005-1 genotypes are potential for future breeding programs, but further experimentation across locations and seasons is needed. It is recommended to give much attention to traits with high heritability and GAM, which include the number of branches per plant, the number of pods per plant, grain yield, hundred seed weight, and chocolate spot. The best genotypes should be included in future breeding programs to maximize yield even further. It is recommended to closely monitor traits with high heritability and high GAM.

Adoption of Coffee Technologies: A Multivariate Probit Model

The sector of agriculture in Ethiopia is a source of livelihood for over 80% population residing in rural areas. It contributes about 50% to the national value of production. The country has huge potential to increase coffee production as it endowed with suitable elevation, temperature, and soil fertility, indigenous quality plantation materials, and sufficient rainfall in coffee growing belts of the country. Adoption of improved coffee varieties and recommended coffee management practice together have a significant effect on annual coffee production. The study was aimed to see the adoption rate and intensity of coffee technologies which are improved coffee Varity and coffee management practice, determinant of adoption of coffee technologies in Jima zone south western Ethiopia. A total of 196 sampled households from three woreda in the zone and 430 plots of 196 farmers household is considered in the survey. The study develops a multivariate probit model econometric model of farmers&amp;apos; choice of combination of coffee technologies. And two primary results were found. First, adoption rate and intensity of Improved coffee variety is greater than adoption of coffee management practice. Secondly adoption of coffee technologies determined by many institutional, resource and other related factor. This implies that policy makers and other stakeholders promoting a combination of technologies can enhance coffee yield through reducing production costs and decreasing coffee vulnerability to disease.

Projected future changes in food insecurity hotspots over the IGAD region of Eastern Africa

Food insecurity is a major issue in many parts of the world, driven by conflict, economic instability, environmental challenges, and poor governance processes. Understanding the impact of future rainfall extremes on areas already experiencing food insecurity is crucial. This study investigates how food insecurity hotspots (FIH), food crisis frequency, and duration will change in the near future (2021–2050) and far future (2071–2100) under Shared Socioeconomic Pathways scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5). The study utilizes precipitation data from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and FIH data from the NASA Socioeconomic Data and Applications Center (SEDAC). To calculate future exposure and vulnerability to FIH, as well as food crisis frequency and duration, weighted sum models were used. The results indicate that arid and semi-arid areas in northeastern Kenya, most of Somalia, zones in southeastern Ethiopia, most of Djibouti, and central and northern Sudan are highly vulnerable to future extreme rainfall events, an increase in FIH cases, and longer food crisis frequency and duration in the near future (2021–2050) and far future (2071–2100) under all scenarios. On the other hand, most districts in Uganda, southern and southwestern South Sudan, counties in western Kenya, and the majority of zones in western Ethiopia are projected to have very few FIH cases, low food crisis frequency, and duration in both the near and far future under all scenarios. These findings are crucial for early warning systems, humanitarian responses, and food security interventions. We recommend harnessing projected increases in rainfall for water harvesting in Kenya, as well as promoting cash and food crop production in central and western Ethiopia, central and northern Uganda, and most of South Sudan.

Topography and soil variables drive the plant community distribution pattern and species richness in the Arjo-Diga forest in western Ethiopia.

Understanding plant community characteristics, distributions, and environmental relationships is crucial for sustainable forest management. Thus, this study examined the relationships between plant community composition and topographic and soil variables within the Arjo-Diga forest. Vegetation data were collected from 72 nested plots (30 × 30 m2 and 2 × 2 m2) systematically laid along nine transects spaced 300 to 700 m apart. Environmental variables, including soil properties and anthropogenic disturbance, were recorded within each main plot. Agglomerative hierarchical cluster analysis and canonical correspondence analysis (CCA) using R software were employed to identify distinct plant community types and examine their relationships with environmental factors. The Shannon‒Wiener diversity index was calculated to quantify and compare species diversity among the identified community types. The analysis revealed five distinct plant community types: 1: Maesa lanceolata-Ehretia cymosa, 2: Trichilia dregeana-Flacourtia indica, 3: Acacia abyssinica-Millettia ferruginea, 4: Combretum collinum-Croton macrostachyus, and 5: Terminalia macroptera-Piliostigma thonningii. The CCA results highlighted the significant influence (p < 0.05) of altitude, CEC, TN, and disturbance on species distribution and plant community formation. The findings indicate that variation in plant communities is closely associated with altitude, TN, and CEC, as well as with disturbance factors such as human interventions, with elevation being the most influential factor. Based on these findings, it is recommended that conservation plans consider the effects of human interventions to address the challenges in conserving forests in the future. Additionally, further research efforts should focus on mitigating disturbance factors and understanding the environmental variables that affect forests to improve their protection.

Households' willingness to pay and associated factors for the nutrition services provided to pregnant women at maternity waiting homes in East Wollega, Western Ethiopia

Households' willingness to pay and associated factors for the nutrition services provided to pregnant women at maternity waiting homes in East Wollega, Western Ethiopia

Diagnostic study on major honeybee disease, pests and predators in North Western Ethiopia.

The study was conducted in Pawe district from Benishangul-Gumuz and Jawi and Fagita Lekoma districts from the Amhara region to investigate major honeybee pests, predators and diseases. Using a purposive sampling technique, 183 households were interviewed, and 240 samples were collected for laboratory analysis of bee disease; data were analysed using descriptive statistics. The share of hive types owned by sampled respondents was 88.6%; overall, 1.1% and 10.3% were traditional, transitional and modern beehives, respectively. About 92% of the sample respondents acquired their base colonies by catching swarm bees on the apex of trees. The majority of beekeepers executed external inspections of their colony, whereas only 50% carried out internal inspections. Based on the responses of beekeepers, around 48.9%, 56.3% and 23.1% of colonies absconded every year from Pawe, Jawi and Fagita Lekoma districts, respectively. Ants, wax moths, bee lice, beetles, spiders, birds, monkeys and honey badgers were the major honeybee pests and predators discovered in study areas in decreasing order. Concerning the incidence of Varroa mites, Nosema apis and amoeba disease, 27.5%, 60% and 71.6% of samples showed positive results in study locations, respectively. From this result, we observed that ants, wax moths, bee lice, beetles, spiders, birds, monkeys and honey badgers were the major honeybee pests and predators. The prevalence of amoeba disease was comparatively higher in highland areas and in the summer season. This finding suggests the need for the alertness of beekeepers in controlling bee disease and pests and strengthening bee colonies through seasonal colony management. There should be a strict quarantine, and check-up undertaken when a new colony is purchased from one region to another is essential.

Assessment of knowledge, attitude, and practice of solid waste management system among households of Darge sub-city, east Wollega Zone, Oromia, Western Ethiopia

Background: Inappropriate solid waste management produced in the course of human activities has serious problems for the environment that adversely affect the health of the human population. Thus, towns and cities in developing countries like Ethiopia face environmental health and aesthetic problems resulting from improper management of solid waste disposal. Uncontrolled waste management may also contribute to the transmission of communicable diseases from different systems as well as encourage fly breading, which has nuisance effects in addition to disease transmission. Objective: To assess knowledge, attitude, and practice of solid waste management systems in households in Darge sub-city, East Wollega Zone, Oromia, Ethiopia. Methods: A community-based cross-sectional study was conducted using systematic random sampling techniques from February 1st to February 15th, 2022. Data was collected from 278 households using a structured interviewer-administered questionnaire. After data collection, data analysis was performed using SPSS computer software version 22.0. Results: The study showed that 67.3% had good knowledge, 65.86% had a positive attitude, and 63.3% had good practice in solid waste management (SWM). Among the households, 12.6% and 42.1% dispose of solid waste in open fields and open disposal pits, respectively. The perceived reason for improper solid waste disposal was a lack of awareness (55.4%) and a shortage of a place for solid waste disposal (30.6%). Conclusion: The knowledge, attitude, and practice of households in the study area need improvement according to standards for towns and sub-cities. Increasing knowledge, changing attitudes, and improving practice in SWM using the existing structure are recommended.

Effects of Weeding Frequency and NPS Fertilizer Rates on Barley (Hordeum vulgare L.) Yield performance, Western Ethiopia

Background: Food barley is one of the main staple crops in Ethiopia, however, its production is influenced by several factors including the effect of weeds and low soil fertility. Purpose: An experiment was conducted with the objective of investigating the combined impact of weeding frequencies and NPS fertilizer rates on barley growth and yield performance. Methodology: Three levels of weeding frequencies (designated as W1, W2, and W3 for one-time, two-time, and three-time weeding, respectively), and five levels of NPS fertilizers (50, 100, 150, and 200 kg ha-1) were applied in an RCB and replicated three times. HB1307 was used as the test material. Results: The results indicated that NPS fertilizer rates and weeding frequency had a significant (p &lt; 0.01) main influence on barley phenology. The interaction between NPS fertilizer rates and weeding frequency resulted in a highly significant (p &lt; 0.01) impact on food barley production, grain yield, and other yield component metrics. Maximum straw yield (5476 kg ha-1) was obtained from the application of 200 kg NPS ha-1 with three weeding frequencies. Moreover, the highest grain output (4726 kg ha-1) and highest net return (106,889.8 ETB (Ethiopian Birr ha-1) with a marginal rate of return (47430.8%) were achieved by applying 200kg NPS ha-1 and weeding three times. Conclusion: Barley yield performance was greatly influenced by the application of 200 kg NPS ha-1 with three times weeding, resulting in the maximum grain yield (4726 kg ha-1) and straw yield (5476 kg ha-1) that was determined to be cost-effective. However, further research is required to achieve optimum rates of treatment.

A neglected wetland in human-dominated landscape shields avifauna from seasonal harsh conditions in Gambella, western Ethiopia

To mitigate biodiversity loss, increasing the number of protected areas in terrestrial and marine habitats is becoming a pressing demand on a global scale. However, the rising human population and per capita consumption continue to limit protected area designations, especially in economically productive areas. There is a dearth of information on the potential roles of small wetland ecosystems in human-dominated landscapes in supporting biodiversity conservation efforts. Here, we assess the roles of wetland ecosystems for avifaunal diversity within Gambella National Park and in the surrounding human-dominated landscape. We used a strip transect method to collect data on bird species during the wet and dry seasons. We evaluated whether each bird species are migratory or resident based on Birdlife International category and assessed their conservation status based on IUCN Red List of Threatened Species. We recorded 114 bird species belonging to 41 families and 16 orders from the study area. Though the overall diversity of birds is significantly higher within the national park when averaged over the two seasons (p = 0.001), we recorded higher species diversity (3.78 vs. 3.09), evenness (0.85 vs. 0.77), and richness (88 vs. 56) for the wetland located within the human-dominated landscape during the wet season. The reverse was true during the dry season where we recorded higher diversity (3.29 vs. 2.31), evenness (0.75 vs. 0.55) and richness (80 vs. 66) for the wetland located within the national park. Species turnover between the two areas was higher during the wet season than during the dry season (β = 0.22 vs. 0.1), showing the avifaunal similarity shared between the two systems seasonally fluctuates. Most bird species often depend on the wetlands outside protected areas for feeding and roosting in the wet season to escape widespread flooding within the park. Our results support synergy between the two settings for sustaining avifaunal diversity, illustrating the importance of near-natural ecosystems within human-disturbed landscapes for supporting biodiversity conservation efforts. Besides focusing on protected areas alone, conservation agencies and decision makers should take into account the significances of such areas in human-dominated landscapes to ensure comprehensive and sustainable biodiversity conservation.

Assessing the current and future trends of climate extremes at Zarima subbasin North Western Ethiopia

Climate extreme events in Ethiopia have increased, impacting the country’s agriculture dependent economy. Localized studies on rainfall extremes provides valuable insights to develop mitigation measures. This study focuses on the analysis of rainfall extremes for the observed (1984–2018) and the future mid time period (2031–2065) and end time period (2066–2100) projected under RCP4.5: moderate emissions reduction scenario aiming to stabilize greenhouse gas concentrations by the mid-21st century and RCP8.5: high emissions scenario with continued increase in greenhouse gas emissions throughout the twenty-first century. Trend analysis was done using R statistical software modified Man Kendell package. The result revealed that the observed total rainfall in wet days (PRCPTOT) showed insignificant declining trend across the subbasin. Under the RCP4.5 scenario, mid time period projections indicated increasing trends in PRCPTOT at Maytsebri, Adiremet and Debarik stations while decreasing trends expected at Ketema Niguse and Zarima stations. In the RCP4.5 end time period, Debarik and Zarima stations showed increasing trends while other stations exhibited decreasing trends. Under the RCP8.5 scenario, PRCPTOT showed insignificant decreasing trend except Ketema Niguse station which showed significant increasing trend during the mid time period. The observed annual maximum 1-day rainfall (RX1day) and annual RX5day rainfall had both positive and negative trends over subbasin. The RCP4.5 scenario projected declining trends in annual RX1day rainfall, while the RCP8.5 scenario projected increasing trends, except the end time projection of Debarik station. Consecutive dry days (CDD) increased and Consecutive wet days (CWD) decreased insignificantly in majority the subbasin. Projections indicated higher CDD and decreased CWD are expected in majority of the subbasin area. These finding implied that further investigation is required on the impact of climate extremes.

Time to recovery and its predictors among under-five children admitted with severe pneumonia in East Wallaga Zone public hospitals, western Ethiopia, 2023; a retrospective cohort study

BackgroundGlobally, pneumonia is one of the leading causes of morbidity and mortality as well as hospitalization burden for under-five children. Despite significant initiatives implemented to reduce morbidity and mortality from pneumonia in under-five children, little is known regarding the time to recovery and its predictors among under-five children admitted with severe pneumonia in Ethiopia. Hence, this study intended to estimate the median time to recovery and its predictors among under-five children admitted with severe pneumonia in East Wallaga zone public hospitals, western Ethiopia; 2023.MethodsAn institution-based retrospective cohort study was conducted among 383 under-five children who were admitted with severe pneumonia in East Wallaga zone public hospitals from January 2017 to December 2022. A systematic sampling method was used to select eligible medical records. EpiData Version 4.6 was used to enter the data and analyzed using STATA Version 17.0. Cox-proportional hazard assumption test and model fitness were checked. Variables with P-value ˂ 0.25 at bivariable Cox regression analysis were selected for the multivariable Cox proportional model. A multivariable Cox regression model with 95% CI and Adjusted Hazard Ratio (AHR) was used to identify a significant predictor of time to recovery from severe pneumonia at a P-value < 0.05.ResultsAt the end of the follow-up, 356 observations were developed an event (recovered) with the median time to recovery of 4 days with IQR of 3–5 days. The overall incidence rate of recovery was 22.26 per 100 (95% CI: 20.07–24.70) person-days observations. Being rural residency (AHR: 0.75, 95% CI: 0.60–0.93), late presenters for seeking care (AHR = 0.70, 95% CI: 0.53–0.93), presence of danger sign at admission (AHR = 1.46, 95% CI: 1.15–1.83), and presence of comorbidity (AHR = 1.63, 95% CI, 1.31–2.04) were found to have a statistically significant association with prolonged recovery time.ConclusionThe median time to recovery from severe pneumonia was long, and factors such as Residence, co-morbidity, presence of danger signs, and duration prior to seeking care were statistically significant predictors of recovery time from severe pneumonia. Hence, due attention has to be given to increasing the community’s health-seeking behavior to visit health facility early and especial attention should be given for children with danger signs and comorbidity.

Active trachoma and associated factors in children aged 1 to 9 years living in Sasiga rural districts, East Wallaga Zone, Ethiopia, in 2022: a community- based cross-sectional study

BackgroundTrachoma, caused by the bacteria Chlamydia trachomatous, is a contagious eye condition that frequently affects children and quickly spreads from child to child and from child to caregiver. The study aimed to assess the distribution of active trachoma and its associated risk factors among children 1–9 years aged in Households of Sasiga Rural District, Western Ethiopia, in 2022.MethodsA community-based cross-sectional study was conducted among 577 randomly selected children from March to May 2022. A multistage sampling technique was used. Data was collected through an interviewer-based questionnaire, physical observation, and clinical eye examinations. Epi Data 3.1 was used for data entry. The data were analyzed with SPSS version 24. Bivariate and multivariate binary logistic regressions were performed. In multivariable logistic regression analysis, the adjusted odds ratio with a 95% confidence interval was used to identify factors associated with active trachoma. A P-value of 0.05 was considered statistically significant.ResultsThe distribution of Active Trachoma among children 1–9 years aged in Households of the study area was 9.5%(95%CI:7.11,11.89). Being from a low-income household with a monthly income of less than 1500 ETB [AOR = 3.49, 95% CI: 1.39, 8.75], Households where the nearest water supply is more than 30 min away [AOR = 8.34, 95%CI: 1.89, 36.73], households with only one room [AOR = 2.98, 95%CI: 1.027, 8.68], and presence of feces in the compound of the households [AOR = 3.08, 95%CI: 1.41, 6.75] were associated with active trachoma in 1–9 years aged children living in the study setting.ConclusionThe distribution of Active Trachoma among children 1–9 years aged in Households of the study area was found to be high. Monthly income, the time it took to get water for home use, and the presence of feces in household compounds were all linked to active trachoma in children living in the study area. As a result, continuous sanitary education on trachoma transmission and prevention should be strengthened in the district.

Covid-19 vaccine hesitancy and its predictors among diabetic patients on follow-up at public hospitals in Nekemte Town, Western Ethiopia.

Understanding and addressing the concerns of vaccine-hesitant individuals, including those with chronic diseases, is key to increasing vaccine acceptance and uptake. However, in Ethiopia, there is limited evidence on the COVID-19 vaccine hesitancy and predictor variables among diabetic patients. Hence, the study aimed to assess Covid-19 Vaccine Hesitancy and Predictor variables among Diabetic Patients on Follow-Up at Public Hospitals in Nekemte Town, Western Ethiopia. Facility based cross sectional study was conducted among 422 diabetic patients attending public hospitals at Nekemte Town, Western Ethiopia between January, to February, 2023. Study participants were recruited by systematic random sampling. The data were collected interviewee administered pre-tested structured survey questioner. The collected data were entered and cleaned using Epi-Data software 4.6 version. The cleaned data were analyzed using SPSS. 25.0 Statical software. Descriptive statistics like frequency, mean and percentage, and binary logistic regression was applied to identify independent predictors of Covid-19 vaccine hesitancy and association between variables were declared at p-value of 0.05. The overall magnitude of COVID-19 vaccine hesitancy was 15.2% (95% CI: 11.6-18.7). The top three listed reasons for the COVID-19 vaccine hesitancy were: negative information about the vaccine (32.90%), lack of enough information (21.80%), and vaccine safety concern (19.40%). The hesitancy of the COVID-19 vaccination uptake among diabetes patients was independently influenced by age between 40-49 (Adjusted Odd Ratio [AOR] = 4.52(1.04-19.66)), having vaccine awareness (AOR = 0.029(0.001-0.86)), having a great deal of trust on vaccine development (AOR = 0.028(0.002-0.52)), and a fear amount trust (AOR = 0.05(0.003-0.79)) on the vaccine preparation, vaccinated for COVID-19 (AOR = 0.13(0.04-0.51)), perceived exposure to COVID-19 infection after having the vaccine as strongly agree/agree (AOR = 0.03(0.01-0.17))and neither agree nor disagree (AOR = 0.07(0.02-0.30)). COVID-19 vaccine hesitancy among diabetic patients was relatively low. The identified independent predictors were age, vaccine awareness, COVID-19 vaccination history, awareness on vaccine preparation and exposure status to COVID-19 infection. The relevant agency should focus on efforts to translating these high levels of vaccine acceptance into actual uptake, through targeting identifying predictor variables and vaccine availability for a high-risk diabetes patient.