The study area is one of the biggest gorges in southeast Ethiopia formed by the Wabe Shebelle river. The road wasconstructed to connect Gasera to Indeto. The study aimed to map and gives some mitigation strategies forgeohazards along the road corridor in Southeast Ethiopia using a GIS with AHP & FR technique within the 3 kmbuffer zones along the road corridor. The study included field investigations and inventorying, characterizationof geological situations, assessments of the hydrogeological conditions, and identification of slope instabilityvariables. A GIS technique was used to map an LSM with the combination of two models (AHP and FR). The studyused eight factors: slope, aspect, lithology, rainfall, altitude, road proximity, river proximity, and land use/cover.The results of the study revealed that LSZ maps performed using FR and AHP were 64.5 % and 69 % and-theinventory shows high and very high LSZ respectively. Rockfalls, debris/earth slides, and rockslides arecommonly observed landslides in the area. Based on the analysis lithology (basaltic and limestone formations)showed the highest contributions for landslide in the area. Slope and aspects show the most frequent landslidehazards in >40, 30–40◦, and east, and northeast respectively. Generally, the study found that lithology, slope,and aspect were the main factors contributing to slope instability in the study area. The produced landslidesusceptibility map is very important for urban planners, agricultural studies, environmentalists, and futurelandslide hazardous prevention and mitigation strategies.
Keywords: Landslides, LSM, AHP, FR, GIS, and Southeast Ethiopia

This study was aimed to formulate formal and non-formal Geez language revitalization strategies by specifically exploring indigenous teaching strategies, analyzing pedagogical interfaces and needs, and assessing practical off-class revitalization strategies. Exploratory Mixed methods design was utilized an experiential qualitative design complemented by descriptive assessment to explore participants' lived experiences and perceptions. The research participants were traditional church teachers teaching Geʽez integrating with religious contents in Reading, Qene, and Literature schools under Ethiopian Orthodox Tewahedo Church (EOTC) education system. Qualitative data were gathered through in-depth interview and video-supported observations, which were analyzed thematically. The study made use of Geez language professionals and practitioners from Bahir Dar and Debre Markos Universities to prioritize relevant non-formal revitalization strategies. Findings revealed that indigenous teaching uses some teacher-centered and more student-centered indigenous methods that converge and diverge with traditional and innovative pedagogies of designing, implementing and assessing Geez language. Irrespective of the delayed learning of comprehension and minimal use of functional communication, the indigenous methods church teachers used were generally more practical and effective, especially in areas such as Qene and literature schools resulting in quicker and accurate mastery of the language. The analysis of linguistic necessities and wants revealed that all skills with the emphasis of vocabulary, grammar, reading and speaking were prioritized. Integration into church schools, media, cultural events, and language nests wre selected as significant language revitalization strategies selected for both inside and outside of school settings. The study concluded that the productive indigenous methods of teaching Geʽez could complement modern language teaching pedagogies, addressing gaps in both approaches. It recommended that language professionals learn from indigenous practices and suggested that Geʽez teachers adapt these practices with modern pedagogical principles. Lastly, language program designers and educators were encouraged to reconsider effective pedagogical interfaces to address challenges in all aspects language teaching: design, implementation and assessment.

Landslides are prevalent in the Ethiopian highlands, particularly in the east Gojjam zone, which is highly affectedby landslide problems. This research was carried out in the east Gojjam zone, northwestern Ethiopia. The studyarea is part of an economically important area in the country, and it is the main source of water for the GrandEthiopian Renaissance Dam (GERD). The main objective of this work was to undertake a detailed inventory ofpast landslide locations and prediction of present and future landslide hazards, as well as the preparation of alandslide zonation map in the East Gojjam zone by using the Analytical Hierarchy Process (AHP) with the GIStechnique. The parameters used for this study were slope degree, slope aspect, land use and land cover, roadproximity, rainfall, lithology, altitude, and river proximity. The various causative parameters were collected fromthe field, and suitable modifications were made to the thematic maps. Finally, the ratings for various parameterswere used as the basis to prepare the LHZ map in GIS windows. The landslide susceptibility and inventorymapping were produced in the GIS environment. The results of the study show that the main driving factors forthe landslide hazards in the area were river proximity, rainfall, and manmade activities. Validation of this LHZmap revealed that more than 80% of past landslides match within the "high hazard zone" and reasonablyaccepted the rationality of the adopted methodology. The considered parameters, as well as their evaluation ofthe production of LHZ-Map, were confirmed. The produced landslide inventory map is very important for urbanplanners, agricultural studies, environmentalists, and future landslide hazardous prevention and mitigationstrategies.
Keywords: GIS, AHP, Inventory mapping, Causative factors, Landslides

Introduction Nurse burnout negatively impacts patient care quality, safety, and outcomes, while harming nurses’mental health, job satisfaction, and retention. It also imposes financial burdens on healthcare organizations throughabsenteeism, reduced productivity, and higher turnover costs, highlighting the need for research to address thesechallenges. The umbrella review methodology was selected to integrate evidence from multiple systematic reviewsand meta-analyses, offering a broad and in-depth summary of existing research to guide practice and policy. Thisapproach equips stakeholders with a holistic understanding of the multifaceted impacts of nurse burnout, facilitatingthe design of effective interventions that support nurses, enhance healthcare delivery, and optimize patientoutcomes. Consequently, this umbrella review aims to evaluate the global prevalence and contributing factors ofnurse burnout.Methods This umbrella review included 14 systematic reviews and meta-analyses identified from various databases.The quality of each study was assessed using the Assessment of Multiple Systematic Reviews (AMSTAR II). Data wereextracted using Microsoft Excel and analyzed with STATA 17.0. Heterogeneity was measured using Higgin’s I2 Statistics,and summary prevalence estimates were calculated with the Der Simonian-Laird random-effects model. Meta-regression and subgroup analyses were conducted to identify the source of high heterogeneity. Publication bias wasassessed using funnel plots and Egger’s regression test, with the former providing a visual assessment of bias and thelatter offering a statistical method to detect asymmetry.Results The global prevalence of nurse burnout was evaluated in three areas: emotional exhaustion (33.45%, 95%CI 27.31–39.59), depersonalization (25.0%, 95% CI 17.17-33.00), and low personal accomplishment (33.49%, 95% CI28.43–38.55). Emotional exhaustion was most common among nurses working during the COVID-19 pandemic(39.23%, 95% CI 16.22–94.68). Oncology nurses experienced the highest rate of depersonalization (42%, 95% CI16.71–77.30), while nurses in intensive care units reported the highest rate of low personal accomplishment (46.02%,95% CI 43.83–48.28).
Conclusions Nurse burnout is prevalent worldwide, often marked by a sense of low personal accomplishment.Several factors contribute to this issue, including role conflict, negative emotions, family problems, moral distress,stress, commuting distance, predictability of work tasks, and workplace advancement.Keywords Nurse, Burnout, Determinant factors, And umbrella review

Introduction Depression and anxiety are prevalent psychological disorders that significantly affect physical,emotional, and social well-being, reducing quality of life and increasing medical costs. These issues are especiallychallenging for cancer survivors, complicating treatment management, affecting adherence, and potentiallyimpacting survival rates. Thus, this umbrella review aimed to evaluate the global prevalence of pain, depression, andanxiety, as well as their determinants among cancer patients.Method An exhaustive umbrella review was conducted to systematically assess the prevalence and determinants ofpain, depression, and anxiety among cancer survivors worldwide by analyzing systematic reviews and meta-analyses.The review involved a thorough search of multiple databases and included studies published in English up to July2024 that reported on these symptoms. The process involved screening and selecting studies based on specificcriteria, assessing the risk of bias using the AMSTAR tool, and analyzing data with statistical methods to determineoverall prevalence and identify predictors. This comprehensive approach aimed to provide a detailed understandingof these psychological issues in cancer survivors and guide future research and interventions.Result The global summary prevalence of depression among cancer survivors was 33.16% (95% CI 27.59–38.74),while anxiety had a prevalence of 30.55% (95% CI 24.04–37.06). Pain prevalence after treatment was 39.77% (95%CI 31.84–47.70). Before treatment, 65.22% (95% CI 62.86–67.57) of cancer patients reported pain, which persistedin 51.34% (95% CI 40.01–62.67) during treatment. The analysis also found that during the COVID-19 pandemic,depression and anxiety rates among cancer patients were at their highest, with prevalences of 43.25% (95% CI41.25–45.26) and 52.93% (95% CI 50.91–54.96), respectively.Conclusion The umbrella review found that depression and anxiety prevalence among cancer survivors was33.16% and 30.55%, respectively, with significantly higher rates during COVID-19 at 43.25% and 52.93%. Key factorscontributing to depression included poor social support, advanced cancer stage, and inadequate sleep, while anxietywas significantly linked to advanced cancer stage and poor sleep quality.
Clinical trial number Not applicable.Keywords Cancer, Oncology, Pain, Depression, Anxiety, Cancer survivors, Systematic review, Meta-analysis, Umbrellareview

The use of metal nanoparticles as antibiotics for resistant pathogens has become a current topic of research. Biosyn-thesized nanoparticles are promising drugs as antibacterial agents by inhibiting bacteria from infectious diseases. Thisstudy aimed at the synthesis and characterization of silver nanoparticles (AgNPs) from AgNO 3 solution and Sida schim-periana Hochst. ex A. Rich leaves extract. The synthesized AgNPs were characterized by Fourier Transform Infrared (FTIR),Ultraviolet–Visible (UV–Vis) and X-ray diffraction (XRD) spectroscopic techniques and evaluated for antibacterial activi-ties against Gram-positive (Staphylococcus aureus and Staphylococcus epidermidis) and Gram-negative (Escherichia coliand Klebsiella Pneumonia) bacteria by the disc diffusion method. The result indicated an initial color change that wasobserved below 400 nm for the leaves extract and 429 nm for AgNPs in the UV–Vis band supporting the synthesis ofsilver nanoparticles. The FTIR peaks at 3447, 1638 and 1413 cm −1 predict the hydroxyl, carbonyl and unsaturated C–Cbonds, respectively, in the plant leaves extract. The XRD analysis showed that the synthesized AgNPs were crystalline innature and face-centered cubic (FCC) structure with an average particle size of 26.27 nm. Furthermore, the synthesizednanoparticles showed antimicrobial activity to both types of bacteria, more significant being on Gram-negative bacteria(E. coli). In conclusion, the leaves extract of Sida schimperiana Hochst. ex A. Rich plant contains bioactive molecules thatare used in the reduction and stabilization of AgNPs as potential antibacterial agents.Keywords: Biosynthesis · Phytochemicals · Antimicrobial resistance · Medicinal plant · Resistant pathogens

This study introduces a highly sensitive electrochemical method for detecting paracetamol (PCT) in pharma-ceutical tablets and human serum samples, utilizing a glassy carbon electrode modified with alizarin red S (poly(ARS)/GCE). PCT is one of the most widely used analgesic and antipyretic drugs; however, its overdose orprolonged use can lead to severe liver and kidney damage. Therefore, the development of sensitive and reliablemethods for monitoring PCT levels in pharmaceutical formulations and biological fluids is crucial for ensuringdrug safety and effective therapeutic monitoring. Characterization of the electrode confirmed that the surfacemodification with a conductive and electroactive polymer film (poly(ARS)) significantly enhanced the effectiveelectrode surface area and reduced charge transfer resistance. Compared to the unmodified electrode, themodified electrode exhibited a well-resolved, irreversible redox peak at a significantly lower potential with asixfold increase in current, highlighting the catalytic efficiency of the modifier toward PCT. The electrochemicalbehavior of PCT was analyzed via cyclic voltammetry and square wave voltammetry, revealing significantlyenhanced sensitivity and selectivity due to the conductive polymer coating. Under optimized electrode conditionsquare wave voltammetric current response of poly(ARS)/GCE showed linear dependence on concentration of0.01–250.0 μM and an ultralow detection limit of 1.0 nM in phosphate buffer solution (pH 7.0). Analyticalapplication on real samples confirmed the method's accuracy, achieving recovery rates of 98.8–100.3 % forpharmaceutical tablets and human blood serum, even in the presence of potential interferents. The developedmethod provides a cost-effective and robust alternative for PCT quantification, with superior performancecompared to previously report electrochemical approaches.
Keywords: Paracetamol, Glassy carbon electrode, Alizarin red S, Cyclic voltammetry, Square wave voltammetry

Study region: The study area is located in the East Gojjam zone, Amhara, Ethiopia; the area coversthe Choke Mount and is surrounded by the Abbay River.Study focus: The primary focus of the study was assessing the possible groundwater sites in theselected area using the Analytical Hierarchy Process (AHP) with the Geographic InformationSystem (GIS) approach for groundwater exploration and investigation.New hydrological insights for the region: Water is a very important resource used to the day-to-dayactivities in our life, which is found naturally on the surface and subsurface of the Earth. Thestudy area is a part of a nation-wide economically significant region in Ethiopia and the Horn. Thearea is the primary water supply (Choke Mountain) for the Ethiopian Grand Ethiopian Renais-sance Dam (GERD) receives the highest water supply from this region. The results of the studyshow that the groundwater potential zones in the area are mapped as poor, moderate, high, andvery high groundwater potential areas. The Validations of the results were made using theborehole log data, and reasonably accepted the rationality of the adopted methodology. Theconsidered parameters, as well as their evaluation of the production of the groundwater potentialMap, were confirmed. The produced Groundwater potential map is very important for IrrigationEngineers, domestic water supply studies, agricultural studies, environmentalists, and futuregroundwater conservation strategies.
Keywords: GIS, AHP, Groundwater potentials, East Gojjam, Ethiopia

Introduction: Growth monitoring and promotion services are strategies to promote child health and reduce child mortality. Even though Ethiopia is attempting different strategies to cope with the low rate of GMP utilization, the problem is still unresolved.
Objective: Determine the pooled proportion of GMP utilization and its contributing factors among children less than two years in Ethiopia.
Method: The review protocol was registered with PROSPERO, number CRD42023472746. The PRISMA-2020 statement guided the conduct of this review. Electronic databases and grey literature were used. Heterogeneity was evaluated using I2. Subgroup analysis was conducted. The random effect model was used to summarize the pooled effect sizes with their respective 95% CI with STATA version 17. To test the small study effect, the funnel plot and Egger’s test were applied.
Result: A total of seven (7) studies with 4027 participants were considered in this meta-analysis. The pooled proportion of GMP utilization reported by seven studies was 25.71% (95%CI: 24.39, 27.04). ANC follow-up (AOR = 2.11; 95% CI: 1.47, 2.76), PNC follow-up (AOR = 1.96; 95% CI: 1.44, 2.49), counseling (AOR = 2.88; 95% CI: 2.09, 3.68), maternal education (AOR = 2.89; 95% CI: 1.66, 4.13), paternal education (AOR = 3.78; 95% CI: 2.25, 5.32), family health card (AOR = 2.31; 95% CI: 1.67, 2.96), and mothers good knowledge towards GMP (AOR = 2.90; 95% CI: 1.72, 4.07) variables were positively associated with GMP service utilization.
Conclusion and recommendation: The pooled proportion of GMP remains low in Ethiopia. ANC and PNC follow-up, counseling, maternal and paternal education, family health cards, maternal knowledge towards GMP were significantly associated. Findings are essential for evidence-based policy making, intervention, and input for ongoing research.

Background: Digital health data hubs contribute significantly to finding the right solutions to health problems, which forms the basis for achieving sustainable development goals. However, in Ethiopia, the health system has been coming to one central hub for all data, there is limited evidence of health professionals' intentions to use these systems. Understanding their intentions is crucial, as this can significantly improve the advancement of digital health in healthcare organizations. This study assessed health professionals' intention to use digital health data hubs in hospitals in East Gojjam, northwest Ethiopia, in 2024.
Methods: A cross-sectional study design was used to conduct the study. Eleven hospitals were included in the study area. Using an a priori structural equation modeling sample size calculator, the total sample size was 616. Stratified proportional allocation sampling was performed. The study participants were selected using a systematic sample. Structural equation modeling (SEM) was used for the analysis. Because it is a more powerful multivariate technique for testing and evaluating multivariate causal relationships. The assumptions of SEM-like normality, average variance extracted (AVE), composite reliability (CR), Cronbach's alpha, confirmatory factor analysis (CFA), and model specifications were checked using Amos and Stata version 16.
Results: This study was conducted with a sample size of 616 healthcare professionals; 591 (95.94%) responded to the survey. The results showed that 57.69% (n = 341) of the healthcare professionals intended to use the digital health data hub. Further analysis showed that perceived usefulness (PU: β = 0.576, p = 0.000), perceived trust (PT: β = 0.116, p = 0.022), and attitude (β = 0.143, p = 0.043) significantly and positively influenced health professionals' intention to use digital health data hubs.
Conclusion: Overall, the findings showed that 42.31% of health professionals have low intention to use digital health data hubs. These shall be needed to improve their intentions to use digital health data hubs through targeted interventions. Therefore, focusing on critical factors, such as perceived usefulness, trust, and attitude are crucial factors to reinforce their intention to use the system. Additionally, overcoming implementation challenges and building trust is critical to the successful integration and use of digital health data hubs.