Rangeland condition and feed resources in Metema district, North Gondar Zone, Amhara Region, Ethiopia

The study was conducted in 2006/07 in Metema district, North Gondar Zone of Amhara region, Ethiopia, with the objectives to characterize the existing rangeland and to determine the feed resources utilization practices, to assess the natural grazing land condition based on herbaceous, woody and soil condition and to evaluate the chemical composition of major livestock feed resources of the area. A single-visit formal survey, group discussions and visual observations are used to collect the primary information and secondary sources are also used in livestock feed resources assessment of the district. A total of 140 respondents from 7 kebeles were selected for interviewing by stratified random sampling techniques. To assess the range conditions, the samples were collected by classifying the district into cotton–livestock and sesame–livestock farming systems. Within a farming system, grazing lands were further stratified into three sampling areas: communal, road side and enclosure grazing areas. In each of the range sites a sampling block of 4 km × 1 km was demarcated and this was further stratified into four sampling plots of equal size. In each of the plot, a belt transects of 50 m × 4 m was laid out randomly. Then, the parameter used for (herbaceous, soil and woody) grass species composition, basal cover, litter cover, soil erosion, soil compaction, seedling count, age distribution and woody density enumeration, canopy cover and hedging were determined. For the height classes 1–3 m, >3–4.5 m and >4.5 m was used. Feed samples were stratified by season and types and subjected to chemical analysis for determination of DM, ash, CP, ADF, ADL and IVDMD. About 83% of the inhabitants in the district practice mixed crop–livestock farming system. The mean family size is 5.31 ± 0.20 persons per household, while the average land holding is 6.78 ± 1.33 ha/household. The mean livestock holding per household is 12.52 ± 6.23 TLU, and is composed of cattle, goats, sheep, donkeys and camels. Natural pasture (55.7%), crop residues (20.7%), stubble (14.3%) and hay (9.3%) are the major feed resources for dry season whereas in the wet season only natural pasture serves as feed resource. The total estimated DM yield of grazing land and stubble is 780,750 and 51,954 t DM per annum, respectively. The total estimated available feed supply is 833,531.2 t DM per annum. Of the identified 33 herbaceous species, 14 and 19 are different grasses and non-grass species. From the non-grass species 6 legumes and 13 sedges and other species are recorded. Of the grasses, 23.07%, 38.46% and 30.77% are highly desirable, desirable and less desirable, respectively. Of the identified 20 woody species, 15%, 35%, and 50% are highly desirable, desirable and less desirable, respectively. The largest proportion of woody vegetation is contributed by different species of acacia (20%)and commbretum (10%). Trees and shrubs grouped within the height class of >1–3 m constituted 41.2% in communal grazing areas, 38.5% in road side grazing and 33.3% in enclosures. Range condition assessment factors such as basal cover, litter cover, grass species composition, woody vegetation density, canopy cover, hedging effect, age distribution and total condition score are significant (P<0.05) in communal grazing areas of the sesame–livestock than in the cotton–livestock farming system. The communal grazing areas have significantly (P< 0.05) higher values of grass species composition, basal cover, litter cover, age distribution, and woody species density score, than the road side grazing areas and lower (P<0.05) than the enclosure grazing areas. The dry matter biomass of grass, highly desirable, desirable species of grasses and legumes and others obtained in the same farming system were significantly (P<0.05) higher than the road side grazing types and lower (P<0.05) in total grass biomass, highly desirable grass, and total biomass than enclosure areas. The total dry matter biomass, dry matter biomass of grass and highly desirable grasses, and legumes are significantly (P<0.05) higher in the enclosure followed by communal grazing and the road side grazing areas. In general, there is low feed resources conservation and utilization and very poor traditional grazing land management system in Metema. The abundant feed resources in the wet season are wasted. In the dry season, grasses are turned to ash by wild and man-made fire in the process of forest honey harvesting and crop land cleaning. As a result, the livestock populations seriously suffer from the critical feed shortage during the long dry season.The rangeland, species composition and biomass production are also affected by human, livestock and natural factors (biotic and abiotic factors). The human population of the district has increased due to settlement programs, investment induced settlers, expanding crop cultivation and have increased the pressure on the rangelands and natural grazing areas. Bush encroachment and overgrazing are also serious problems. Shifting cultivation practice is also contributing to the increased bush encroachment. The seasonal movement and transhumant livestock production by highlanders in adjacent districts also increases the grazing intensity. Absence of adequate baseline information about the rangeland resources, unsynchronized seasonal availability of feed resources and cropland encroachment to the rangeland are some of the main constraints of the district, and studies on rangeland management systems and improved livestock production should be initiated

Sero-epidemiology of rubella in the urban population of Addis Ababa Ethiopia

We conducted a community-based cluster sample survey of rubella sero-epidemiology in Addis Ababa, Ethiopia in 1994. Among 4666 individuals for whom complete data were available, rubella antibody prevalence was 91% (95% confidence interval: 90, 92). On multivariable analysis, seroprevalence was lower among individuals who were resident in Addis Ababa for 1 year or less. Approx. 50% seroprevalence was attained by age 4 years, and the estimated average age at infection was 5·2 years. The highest age-specific force of infection was estimated to occur in 5- to 9-year-olds. The early age at infection corresponded with a low estimated incidence of congenital rubella syndrome (CRS) of 0·3 per 1000 live births, equivalent to nine cases of CRS in 1994. The predicted critical level of immunity for elimination of rubella via vaccination was 85–91%, requiring 89–96% coverage with a vaccine of 95% effectiveness. Unless very high coverage of rubella vaccine could be guaranteed, the introduction of childhood vaccination could increase the incidence of CRS in Addis Ababa

The prospective association between obesity and major depression in the general population:does single or recurrent episode matter?

Background: Obesity and major depressive disorder (MDD) are important public health problems. MDD is a heterogeneous disorder and the direction of its association with obesity remains unclear. Evidence grows that recurrent MDD (MDD-R) differs in etiology and prognosis from single episode MDD (MDD-S), which could affect associations with obesity. However, evidence on this differential effect is lacking. The aim of this study was to examine the direction of the association between obesity and MDD, single or recurrent episode. Methods: A longitudinal study was performed in a cohort of 1094 participants of the PREVEND study, on whom data were collected at baseline and at an average 2-year follow-up. MDD-S and MDD-R were assessed by the Composite International Diagnostic Interview (CIDI 2.1). Obesity was defined as Body Mass Index >= 30 kg/m(2). Binary logistic regression analyses were conducted to examine whether obesity predicts MDD-S/MDD-R or vice versa, adjusted for potential confounders. Results: Prospective analyses showed that BMI at baseline was associated with the onset of MDD-R (Odds ratio, OR = 1.32; 95% confidence interval, 95% CI: 1.11; 1.57) during 2-year follow-up, but not with the onset of MDD-S (OR = 0.98; 95% CI: 0.89; 1.07). Obesity at baseline was not associated with the onset of MDD-S during follow-up (OR = 0.75; 95% CI: 0.25; 2.30), but associated with the onset of MDD-R during follow-up (OR = 11.63; 95% CI: 1.05; 128.60). Neither MDD-S nor MDD-R were associated with the development of obesity during 2-year follow-up (OR = 1.67, 95% CI: 0.64; 4.29 and OR = 2.32, 95% CI: 0.82; 6.58, respectively). Conclusions: Our findings add to the available evidence that obesity might specifically be associated with the onset of multiple episodes of major depression (MDD-R). Although the reverse association was not found, MDD-R tends to be also associated with subsequent development of obesity, but larger studies are needed to fully assess this issue. The heterogeneity of MDD should be considered when examining the effect of obesity on MDD

Integrating Family Planning Training into Medical Education: A Case Study of St. Paul's Hospital Millennium Medical College (SPHMMC), Addis Ababa

https://deepblue.lib.umich.edu/bitstream/2027.42/148156/1/integrating-family-planning-into-medical-education-a-case.pdf-1Description of integrating-family-planning-into-medical-education-a-case.pdf : Case Study (PDF

The status of hygiene and sanitation practice among rural model families of the Health Extension Program (HEP) in Wolayta and Kembata Tembaro Zones of Southern Nations, Nationalities and Peoples’ Region of Ethiopia

Background: Since the Health Extension Program (HEP) started the training and graduation of model families, little is known about the status and maintenance of hygiene and sanitation practice to inform future directions and decisions.Objective: to assess the status and maintenance of hygiene and sanitation practices among rural model families of the Health Extension Program.Method: A cross-sectional comparative study was conducted from Dec.-June 2010/11 in Wolayta and Kembata Tembaro Zones of Southern Nations, Nationalities and Peoples Regional State of Ethiopia. Two types of comparisons were involved in the study; comparison of hygiene and sanitation practices of a randomly selected 690 model families and 686 non-model families, and comparison of similar practices among model families at the time of graduation, assessed in retrospective interview, versus at the time of survey. Quantitative data were collected from the two zones from Dec- Jan. 2010/11. Qualitative data were also collected in June 2011 to complement the findings of the quantitative data from a purposively selected group of women and men among model families in the study areas. Descriptive and analytics statistics were used to analyse the quantitative data using STATA version 10 while the qualitative data were analysed using Open Code version 3.6.2.0Results: The study showed that among model families, 82% of them had pit latrine, 23.1 % had solid and liquid waste disposal pits, 19.0% had shelves for storing utensils and 34.1 % had separate dwelling for people and cattle as compared to 55.6 %, 9.1%, 6% and 18.5 % of similar practices among non-model families respectively (p&lt;0.001). Latrine availability, storage of water in a narrow necked covered container, possession of shelves for storage of utensils and fuel saving stoves declined from 96.6% to 82.3%, 92.7% to 78.6%, 33.6% to 19.1% and from 6.1% to 3%, respectively among model families after graduation (p&lt;0.01). During FGDs and in-depth interviews, socio-economic and cultural reasons were mentioned as factors that hindered the maintenance of the practices.Conclusion: Generally, model families performed better in most of the hygiene and sanitation practices than nonmodel families. The study also indicated a decline in the maintenance of certain practices among some model families

Dirichlet process mixture models for single-cell RNA-seq clustering

Clustering of cells based on gene expression is one of the major steps in single-cell RNA-sequencing (scRNA-seq) data analysis. One key challenge in cluster analysis is the unknown number of clusters and, for this issue, there is still no comprehensive solution. To enhance the process of defining meaningful cluster resolution, we compare Bayesian latent Dirichlet allocation (LDA) method to its non-parametric counterpart, hierarchical Dirichlet process (HDP) in the context of clustering scRNA-seq data. A potential main advantage of HDP is that it does not require the number of clusters as an input parameter from the user. While LDA has been used in single-cell data analysis, it has not been compared in detail with HDP. Here, we compare the cell clustering performance of LDA and HDP using four scRNA-seq datasets (immune cells, kidney, pancreas and decidua/placenta), with a specific focus on cluster numbers. Using both intrinsic (DB-index) and extrinsic (ARI) cluster quality measures, we show that the performance of LDA and HDP is dataset dependent. We describe a case where HDP produced a more appropriate clustering compared to the best performer from a series of LDA clusterings with different numbers of clusters. However, we also observed cases where the best performing LDA cluster numbers appropriately capture the main biological features while HDP tended to inflate the number of clusters. Overall, our study highlights the importance of carefully assessing the number of clusters when analyzing scRNA-seq data.</p

Sero-Epidemiology of Foot and Mouth Disease in Domestic Ruminants in Amhara Region, Ethiopia

This study involved cross-sectional serological and questionnaire-based surveys to investigate the sero-epidemiology of foot and mouth disease (FMD) in domestic ruminants, and farmers' knowledge and practices about the disease in the Amhara region of Ethiopia. A multistage cluster sampling was carried out to select domestic ruminants for serological sampling and for the interview with farmers. A total of 1,672 sera samples were collected and tested using a 3ABC-Enzyme Linked Immunosorbent Assay, and 170 farmers were interviewed. An overall FMD apparent seroprevalence of 11.48% (95% CI: 7.52–17.14%) was recorded in the domestic ruminants. The overall true prevalence was 12.04%. The seroprevalence of FMD was higher in cattle (14.37%) than in goats (7.10%) and sheep (7.07%). The age stratified seroprevalence in the districts showed that 66.67% of the districts studied experienced a FMD outbreak within the preceding year of the study time. A mixed effect logistic regression analysis revealed that agroecology, the production system and the age of the animal was significantly associated with FMD seropositivity in cattle (P &lt; 0.05). A statistically significant (P &lt; 0.05) positive correlation (r = 0.93) was observed between cattle and small ruminant FMD seroprevalences. About 82% of the farmers interviewed knew of FMD and 85% of them had experienced the disease in their own herds before. The farmers mostly employ traditional means to control FMD. In conclusion, the findings of the study indicated that FMD is a prevalent disease in the Amhara region with more importance in the intensive production systems and the lowlands of the region. High correlation in seroprevalence between small and large ruminants indicated a possible cross transmission between these species. Therefore, small ruminants should not be overlooked in FMD control. Farmers in the region have a good level of knowledge about the disease; however, currently they heavily rely on traditional practices primarily focused on treating wounds of infected animals. This calls for extension work on available effective preventive measures of the disease, such as vaccination and movement restriction

Computational strategies for single-cell multi-omics integration

Single-cell omics technologies are currently solving biological and medical problems that earlier have remained elusive, such as discovery of new cell types, cellular differentiation trajectories and communication networks across cells and tissues. Current advances especially in single-cell multi-omics hold high potential for breakthroughs by integration of multiple different omics layers. To pair with the recent biotechnological developments, many computational approaches to process and analyze single-cell multi-omics data have been proposed. In this review, we first introduce recent developments in single-cell multi-omics in general and then focus on the available data integration strategies. The integration approaches are divided into three categories: early, intermediate, and late data integration. For each category, we describe the underlying conceptual principles and main characteristics, as well as provide examples of currently available tools and how they have been applied to analyze single-cell multi-omics data. Finally, we explore the challenges and prospective future directions of single-cell multi-omics data integration, including examples of adopting multi-view analysis approaches used in other disciplines to single-cell multi-omics.</p