This research aimed at evaluation of a given land resource suitable for selected rain fed crops production (maltbarley, wheat and teff ) in Ambesh watershed. It also quantified suitable land and classified into the land mappingunits (LMUs), and presents a land suitability map. Land suitability assessment (LSA) made using climatic condition,topography, soil physical and chemical properties as a major factor integrated with a multi criteria decision making(MCDM) analysis in Ambesh watershed. Fourteen composite soil samples were taken by categorizing the water-shed into different land mapping units (LMUs) and analyzed in a soil laboratory. Climatic data, rainfall was obtainedfrom two meteorological stations nearby to the study area. Temperature data derived from Landsat 8 satellite ther-mal bands data. Data obtained from the soil laboratory and others were finally analyzed using ArcGIS environmentand priority estimation tool (PriEsT) software’s. Weighted Sum Overlay was implemented to investigate the final LSAmap of the watershed. Results revealed that LMUs, VRe–LPq and LPK.Pq–FLc LMUs has higher overall suitability for allthe selected rain fed crops. However, LMUs (VRe–NTu and NTu–VRe) has lower overall suitability values particularlyfor S1 suitability class (0.05% and 10.6%, respectively). The least suitable LMU is VRe–NTu with 0.05% S 1 suitability classand above 99% of the land laid under the suitability classes of moderately suitable, marginally suitable and not suit-able for the selected land utilization types. Moreover, about 219.06 ha (17.76%), 217.6 ha (17.64%), 168.9 ha (13.7%),of land are highly suitable for malt barley, teff and wheat crop production, respectively. In conclusion, during MCDM,classifying the land into closer homogeneities (LMU) an important application of LSA integrated with remote sens-ing and GIS for a better decision making. Meanwhile, majority (above two third’s) of the land in the watershedis under moderate and marginally suitable, it needs intensive land management activities to increase the land quali-ties and obtain high yields. LSA recommended before land utilization decision has to be made. It is also importantto classifying the land into LMUs to make it more homogeneous for sample taking and reducing the prestigious soillaboratory analysis costs.Keywords LMUs, Land suitability assessment, Malt Barley, RS, Teff, Weighted sum, Wheat

Executive Summary Concerns over chemical contaminants and toxins in local foods and beverages have been raised recently. These days, chronic illness is more common, and toxicants and other contaminants found in food and drink have been linked to many documented fatalities. The chemical toxicants that will be analyzed in this study include acrylamide (a processing toxicant arising from deep roasting of food samples), aflatoxin B1 (a poisonous chemical discharged by mold and fungi), pesticide residues (resulting from pesticide application to cereal, vegetable, and fruits), and methanol (a chemical toxicant produced by spontaneous fermentation of local alcoholic beverages). The acrylamide content of the food samples will be measured via LC/MS-MS. Aflatoxin analysis will be performed using high-performance liquid chromatography (HPLC), whilst pesticide residues and methanol concentrations will be assessed using a gas chromatography (GC) method equipped with computer-integrated software. This research will be undertaken in three phases. The first phase is collecting food and beverage samples (at least 30 food samples suspected of being chemically contaminated) from selected districts and assessing the toxic substances. The second phase relies on the results of the first phase; for severely contaminated foods, the sources of contamination and factors leading to the presence of chemical toxicants will be investigated. Finally, optimal processing will be investigated to remove or decrease toxic chemicals. The assessment of chemical contaminants in local foods and beverages is important as consumers become more conscious of their health and well-being. Therefore, this research aims to provide insight into the existence, concentrations, and possible health hazards associated with chemical contaminants in foods and beverages that are produced locally. It also makes actionable suggestions for resolving this pressing problem.

Executive Summary Concerns over chemical contaminants and toxins in local foods and beverages have been raised recently. These days, chronic illness is more common, and toxicants and other contaminants found in food and drink have been linked to many documented fatalities. The chemical toxicants that will be analyzed in this study include acrylamide (a processing toxicant arising from deep roasting of food samples), aflatoxin B1 (a poisonous chemical discharged by mold and fungi), pesticide residues (resulting from pesticide application to cereal, vegetable, and fruits), and methanol (a chemical toxicant produced by spontaneous fermentation of local alcoholic beverages). The acrylamide content of the food samples will be measured via LC/MS-MS. Aflatoxin analysis will be performed using high-performance liquid chromatography (HPLC), whilst pesticide residues and methanol concentrations will be assessed using a gas chromatography (GC) method equipped with computer-integrated software. This research will be undertaken in three phases. The first phase is collecting food and beverage samples (at least 30 food samples suspected of being chemically contaminated) from selected districts and assessing the toxic substances. The second phase relies on the results of the first phase; for severely contaminated foods, the sources of contamination and factors leading to the presence of chemical toxicants will be investigated. Finally, optimal processing will be investigated to remove or decrease toxic chemicals. The assessment of chemical contaminants in local foods and beverages is important as consumers become more conscious of their health and well-being. Therefore, this research aims to provide insight into the existence, concentrations, and possible health hazards associated with chemical contaminants in foods and beverages that are produced locally. It also makes actionable suggestions for resolving this pressing problem.

This study systematically assessed the concentrations of selected metals and the proximate composition of milk samples collected from six locations: Agerie Milk Cooperative, Andassa Livestock Research Center, Tekelehymanot Monastery, the College of Agriculture and Environmental Sciences, Bahir Dar Dairy Cooperative, and households in Keble-7, Bahir Dar city. Proximate composition, including moisture, ash, protein, and fat, was determined using the Kjeldahl digestion and Gerber methods, while metal analysis was performed using the Inductively Coupled Plasma Optical Emission Spectroscopy technique. The findings revealed significant variations (P

Objectives: This study aimed to assess the prevalence and risk factors of intestinal schistosomiasis in students atBochesa Elementary School in the wetlands of Lake Ziway.Methods: A cross-sectional study of 384 students was conducted in May 2016. Intestinal schistosomiasis wasexamined using the Kato-Katz technique. For the association between the prevalence of intestinal schistosomiasisand categorical variables, the chi-square (𝜒2 ) test was used. A binary logistic regression was applied.Results: The overall prevalence of intestinal schistosomiasis was 25.52%. Males were more infected (17.45%)than women (8.07%), and the difference was significant (𝜒2 = 17.756; P

Background
Digital health is a new health field initiative. Health professionals require security in digital places because cybercriminals target health care professionals. Therefore, millions of medical records have been breached for money. Regarding digital security, there is a gap in studies in limited-resource countries. Therefore, surveying health professionals’ attitudes toward digital health data security has a significant purpose for interventions.


Objective
This study aimed to assess the attitudes of health professionals toward digital health data security and their associated factors in a resource-limited country.


Methods
A cross-sectional study was conducted to measure health professionals’ attitudes toward digital health data security. The sample size was calculated using a single population. A pretest was conducted to measure consistency. Binary logistic regression was used to identify associated factors. For multivariable logistic analysis, a P value ≤.20 was selected using Stata software (version 16; StataCorp LP).


Results
Of the total sample, 95% (402/423) of health professionals participated in the study. Of all participants, 63.2% (254/402) were male, and the mean age of the respondents was 34.5 (SD 5.87) years. The proportion of health professionals who had a favorable attitude toward digital health data security at specialized teaching hospitals was 60.9% (95% CI 56.0%‐65.6%). Educational status (adjusted odds ratio [AOR] 3.292, 95% CI 1.16‐9.34), basic computer skills (AOR 1.807, 95% CI 1.11‐2.938), knowledge (AOR 3.238, 95% CI 2.0‐5.218), and perceived usefulness (AOR 1.965, 95% CI 1.063‐3.632) were factors associated with attitudes toward digital health data security.


Conclusions
This study aimed to assess health professionals’ attitudes toward digital health data security. Interventions on educational status, basic computer skills, knowledge, and perceived usefulness are important for improving health professionals’ attitudes. Improving the attitudes of health professionals related to digital data security is necessary for digitalization in the health care arena.

Background: Healthcare-associated infections occur in patients under medical care, which is a major public health issue in hospitals worldwide. The prevalence is two to three folds higher in developing countries compared to developed countries. Inanimate objects used by healthcare professionals such as gowns, mobile phones, and stethoscopes are highly prone to bacterial contamination from the healthcare setting. In Ethiopia, there is a paucity of published data on the bacterial profile and susceptibility patterns of an isolates.
Objective: To determine the bacterial profile and antimicrobial susceptibility patterns from inanimate objects used by healthcare professionals and associated factors at Debre Markos Comprehensive Specialized Hospital, Northwest Ethiopia.
Methods: A cross-sectional study was conducted at Debre Markos Comprehensive Specialized Hospital from inanimate objects from April 10, 2023 to June 30, 2023 using simple random sampling technique with lottery method. Socio-demographic data was collected using a structured questionnaire. A swab sample from healthcare professionals' gowns, mobile phones, and stethoscopes were collected and inoculated onto blood agar, chocolate and MacConkey agar. Isolates were identified and characterized by colony morphology, Gram staining and biochemical tests. Antimicrobial susceptibility testing was performed in all isolates by the disk diffusion technique on Muller Hinton agar according to CLSI, 2022 guidelines. Data was entered into EPI-Data and analyzed using SPSS version 25. Logistic regression model was used. Variables with p-value ≤ 0.25 in bivariable logistic regression was fitted to multivariate logistic regression analysis. A p-value of ≤ 0.05 with 95%CI was considered statistically significant.
Result: A total of 376 healthcare professionals' inanimate objects were included from 191 study participants. Overall, 60.1% (226/376) (95%CI: 55.1-65) inanimate objects were contaminated. The proportion of bacterial contamination was (65.1%; 82/126), (60.3%; 76/126) and (54.8%; 68/124) for mobile phones, gowns and stethoscopes, respectively. Staphylococcus aureus was the most frequent isolate accounting (22.1%; 83/376) followed by Staphylococcus epidermidis (17.0%; 64/376), Escherichia coli (8.8%; 33/376) and Pseudomonas aeruginosa (4.9%; 18/376). Working in gynecology/ obstetrics wards (AOR: 8.69; 95%CI: 1.09-69.41, P = 0.041), did not disinfect mobile phones (AOR: 2.69; 95%CI: 1.15-6.25; P = 0.021) and stethoscopes regularly (AOR: 3.06, 95%CI: 1.23-7.59; P = 0.016), carry mobile phones with patient care materials (AOR: 2.72; 95%CI: 1.18-6.29, P = 0.019) and not taken infection prevention training (AOR:3.91; 95%CI:1.71-8.93; P = 0.001) were significantly associated with bacterial contamination.Most Gram-negative bacteria were resistant to ampicillin, trimethoprim-sulfamethoxazole and amoxacilline-clavunic acid, while Gram-positive isolates showed high level of resistant to penicillin. On the other hand, meropenem, for Gram-negative and clindamycin for Gram-positive bacteria showed lower level of resistance. Multidrug resistance among Gram-positive and Gram-negative bacteria were (62.6%; 92/147) and (75.3%; 64/85), respectively with over all MDR (67.2%, 156/232).
Conclusion: Inanimate objects commonly used by healthcare professionals are important sources of bacterial contamination. S. aureus, S. epidermidis and E. coli were the predominant isolates. Most Gram-negative bacteria were resistant to ampicillin while Gram-positive isolates showed high level of resistant to penicillin. All healthcare professionals should regularly disinfect their inanimate objects to prevent bacterial colonization and potential spread of infection.

In many regions of Ethiopia, particularly in the study area, high-quality livestock feed is scarce, particularly during the dry season.Indigenous browse species could potentially ofer alternative sources of feed, but their potential has not been fully exploited, owingto a lack of detailed information. Without detailed information on the nutritional value of indigenous browse species, it is difcultto assess their suitability as feed sources. Tis knowledge gap indicates that even if these plants are abundant, they may not be usedefectively because their nutritional benefts are not well understood. Te objective of the present study was to fll this gap bysystematically evaluating the biomass yield and nutritional content of indigenous browse species. Te mean biomass yields forvarious indigenous browse species varied signifcantly (p < 0.05) among species, with Ficus thonningii producing the highest,whereas the biomass yields of Vernonia amygdalina were the lowest. Arundinaria species exhibited the highest NDF content(68.5%), whereas V. amygdalina had the lowest NDF content (46.8%). Te crude protein content varied signifcantly (p < 0.05)among the species, with Acacia albida having the highest (20.3%), whereas the crude protein content of Carissa edulis was thelowest (13.3%). Hence, the crude protein content of all indigenous browse species is sufcient to meet the maintenance needs ofcattle, sheep, and goats because, as stated by Kearl and NRC, the crude protein levels required for maintenance in these animalsrange from 7% to 10%. Te crude protein content of indigenous browse species is sufcient to meet the milk production re-quirements of sheep and goats because the crude protein levels required for milk production for these animals range from 12% to16%. For lactating dairy cows and growing beef cattle, Kearl recommended CP values of 14%–18% and 12%–16% required,respectively. Terefore, indigenous livestock producers should incorporate these species into their production systems to enhanceproductivity. Tis approach can also help mitigate the high costs associated with concentrate feeds, which are typically expensive.Keywords: biomass; browse species; nutritional composition; species composition

Abstract: Diarrheagenic Escherichia coli (DEC) are the leading cause of infectious diarrhea and posea significant global, regional, and national burden of disease. This study aimed to investigate theprevalence of six DEC pathotypes in children with diarrhea and determine their antibiotic resistancepatterns. Samples from 107 diarrheagenic children were collected and processed for Escherichiacoli (E. coli). Single-plex PCR was used to detect target virulence genes as well as characterize andcategorize DEC pathotypes. Antibiotic resistance patterns were determined by the Kirby–Bauerdisk diffusion method. E. coli was detected in 79 diarrheal stool samples, accounting for 73.8% ofthe samples collected. Additionally, 49.4% (39 out of 79) of the isolates harbored various typicalvirulence factors. Results revealed six pathotypes of virulence: enterotoxigenic E. coli (ETEC) (53.8%),enteropathogenic E. coli (EPEC) (12.8%), enteroaggregative E. coli (EAEC) (10.3%), Heteropathotypes(7.8%), Shiga toxin-producing E. coli (STEC), and enterohemorrhagic E. coli (EHEC) (7.7% each).The isolates exhibited high antibiotic resistance against trimethoprim/sulfamethoxazole (82.1%),amoxicillin (79.5%), ampicillin (74.4%), gentamicin (69.2%), and streptomycin (64.1%). An overalloccurrence of 84.6% of multiple-drug resistance was observed in the isolates, with resistance rangingfrom three to four antibiotic classes. Our findings revealed a high level of pathogenic E. coli that werehighly resistant to multiple categories of antibiotics among children in the Awi zone. These findingshighlight the potential role of pathogenic E. coli in childhood diarrhea in tropical low-resourcesettings and underscore the need for continued research on the characteristics of pathogenic andantibiotic-resistant strains.Keywords: children; diarrheagenic Escherichia coli; resistance; virulent genes; Awi zone

Background: Developmental delay is a group of disorders that cause commondeficits of adaptive and intellectual function in children. It happens when achild fails to achieve one aspect of developmental skills. Limited informationis available regarding the prevalence of developmental delay among childrenaged 12–59 months in the study area. Therefore, this study aimed to assessthe prevalence of developmental delay and its associated factors among thispopulation.Methods: A community-based cross-sectional study was conducted inDembecha district among 702 children aged 12–59 months. Data were gatheredthrough face-to-face interviews, and by taking anthropometric measurementsusing a pretested structured questionnaire. Data were entered into Epi Dataversion 4.2 software and exported into Statistical Package for Social Science(SPSS) version 25 software for analysis. The WHO Anthro software was used toanalyze anthropometric-related data. Bivariable and multivariable binary logisticregression analyses were done to identify factors associated with developmentaldelay. The odds ratio with a 95% Confidence Interval (CI) was estimated todetermine the strength of the association.Results: The prevalence of developmental delay among children was 26.7%(95% CI: 23.5, 30.2). Toddler child age (AOR = 2.60; 95% CI: 1.42, 4.87), lowbirth weight (LBW; AOR =4.90; 95% CI: 2.14, 11.48), cesarean section mode ofdelivery (AOR = 8.60; 95% CI: 3.93, 18.65), preterm delivery (AOR = 2.5; 95% CI:1.28, 4.74), early initiation of complementary feeding (AOR = 8.40; 95% CI: 3.61,19.63), stunting (AOR = 2.90; 95% CI: 1.67, 5.22) inadequate meal frequency(AOR = 3.20; 95% CI: 1.74, 5.94), and inadequate dietary diversity (AOR = 3.10;95% CI: 1.68, 5.85) were significantly associated with child developmental delay.Conclusion: The prevalence of developmental delay among children was highin Dembecha district compared to the global prevalence. Child developmentaldelay was associated with toddler child age, LBW, cesarean section mode of