Assessment of Major Production Constraints and Common Diseases of Cattle in Selected Districts of East Wollega Zone, Western Ethiopia

This study was under taken in selected districts of east Wollega Zone of Oromia region with the objective of assessing major cattle production constraints and common cattle diseases. Questionnaire was developed and designed in a simple manner to get accurate information and pre-tested on a small group of farmers. The major cattle production constraints and common cattle diseases were identified by a pilot study and raking technique and utilized to prioritize the listed production constraints and diseases. The study districts sampled purposively whereas ‘kebeles’ or “Ganda” were selected randomly and respondents were selected using systematic random sampling techniques. Thus, a total of 90 farmers were interviewed, accordingly. A single-visit- multi-subject formal survey technique was used. Finally, the data was analyzed with SPSS statistical software and constraints were ranked and quantified using Rank Based Quotient formula. Among the six listed constraints animal feed and grazing land shortage has been assigned rank number one (82.15%) and animal health and veterinary service related problem was ranked second (81.04%).  And also among the fourteen mentioned cattle diseases, diseases that ranked first, second and third were trypanosomiasis (82.65%), blackleg (60.75%), and internal and external parasites (54.9%), respectively. In conclusion, in this study animal feed and grazing land shortage and animal diseases were the main farmer’s cattle production problems. Besides, majority of farmers were practicing poor animal husbandry that creates favorable environment for the disease multiplication and distribution in the communities. Therefore, further research has to put emphasis on this prioritized production constraints using reliable tools (laboratory finding supported) and introduction of improved forage species and strengthen the fodder development practices by providing continuous training. DOI: 10.7176/JBAH/9-11-04 Publication date:June 30th 201

Sero-prevalence of contagious bovine pleuropneumonia and its potential risk factors in selected sites of Western Oromia, Ethiopia

Contagious bovine pleuropneumonia (CBPP) is a disease of cattle caused by Mycoplasma mycoides subsp. Mycoides small colonies and it is one of the most important threats to cattle health and production in Ethiopia, such as at livestock farm of Bako Agricultural Research Center (BARC) an outbreak of contagious bovine pleuropneumonia occurred in May, 2011 and many animals were affected and died before the disease was identified. Therefore, this study was designed to determine the seroprevalence of contagious bovine pleuropneumonia in the selected districts of Western Oromia Zones as well as to assess the risk factors associated with the occurrence of the disease. Therefore, a cross-sectional study design was conducted from November 2013 to March 2014 in three selected districts from three Western Oromia Zones. A total of 386 sera were examined for the presence of specific antibodies of the disease by using competitive enzyme linked immunosorbent assay (cELISA). In this study, districts, peasant associations, age, sex, breed and body conditions were considered as risk factors. Thus, the overall seroprevalence of contagious bovine pleuropneumonia in this study was 28.5%. The seroprevalence of contagious bovine pleuropneumonia at districts level were 40.3%, 19.0 % and 5.7 % in Gobbu-Sayyo, Bako-Tibbe and Horro district, respectively. There was a statistically significant variation (p < 0.05) in prevalence of the disease among the districts. However, age, sex, breed and body condition were not significant (p > 0.05) with the serostatus of the animal. In conclusion, the present study indicated that the overall prevalence of CBPP in Western Oromia Zones was high, This warrants the need of the institute to follow appropriate preventive and control measures to stop further spread of the disease and appropriate controlling and prevention should be designed in general as a country level and further study should be done in the future to know the temporal pattern of the disease.Keywords: Seroprevalence, CBPP, Risk factors, cELISA, Western OromiaZones, Ethiopi

Self-reported race/ethnicity in the age of genomic research: its potential impact on understanding health disparities

This review explores the limitations of self-reported race, ethnicity, and genetic ancestry in biomedical research. Various terminologies are used to classify human differences in genomic research including race, ethnicity, and ancestry. Although race and ethnicity are related, race refers to a person’s physical appearance, such as skin color and eye color. Ethnicity, on the other hand, refers to communality in cultural heritage, language, social practice, traditions, and geopolitical factors. Genetic ancestry inferred using ancestry informative markers (AIMs) is based on genetic/genomic data. Phenotype-based race/ethnicity information and data computed using AIMs often disagree. For example, self-reporting African Americans can have drastically different levels of African or European ancestry. Genetic analysis of individual ancestry shows that some self-identified African Americans have up to 99% of European ancestry, whereas some self-identified European Americans have substantial admixture from African ancestry. Similarly, African ancestry in the Latino population varies between 3% in Mexican Americans to 16% in Puerto Ricans. The implication of this is that, in African American or Latino populations, self-reported ancestry may not be as accurate as direct assessment of individual genomic information in predicting treatment outcomes. To better understand human genetic variation in the context of health disparities, we suggest using “ancestry” (or biogeographical ancestry) to describe actual genetic variation, “race” to describe health disparity in societies characterized by racial categories, and “ethnicity” to describe traditions, lifestyle, diet, and values. We also suggest using ancestry informative markers for precise characterization of individuals’ biological ancestry. Understanding the sources of human genetic variation and the causes of health disparities could lead to interventions that would improve the health of all individuals

Ancestry specific associations of a genetic risk score, dietary patterns and metabolic syndrome: A longitudinal ARIC study

BACKGROUND: Associations have been observed among genetic variants, dietary patterns, and metabolic syndrome (MetS). A gap in knowledge is whether a genetic risk score (GRS) and dietary patterns interact to increase MetS risk among African Americans. We investigated whether MetS risk was influenced by interaction between a GRS and dietary patterns among Whites and African Americans. A secondary aim examined if molecular genetic clusterings differed by racial ancestry. METHODS: We used longitudinal data over 4-visits (1987-1998) that included 10,681 participants aged 45-64y at baseline from the Atherosclerosis Risk in Communities study (8451 Whites and 2230 African Americans). We constructed a simple-count GRS as the linear weighted sum of high-risk alleles (0, 1, 2) from cardiovascular disease polymorphisms from the genome-wide association studies catalog associated with MetS risk. Three dietary patterns were determined by factor analysis of food frequency questionnaire data: Western, healthy, and high-fat dairy. MetS was defined according to the 2016 National Cholesterol Education Program Adult Treatment Panel III criteria but used 2017 American Heart Association/American College of Cardiology criteria for elevated blood pressure. Analyses included generalized linear model risk ratios (RR), 95% confidence intervals (CI), and Bonferroni correction for multiple testing. RESULTS: The Western dietary pattern was associated with higher risk for MetS across increasing GRS tertiles among Whites (p \u3c 0.017). The high-fat dairy pattern was protective against MetS, but its impact was most effective in the lowest GRS tertile in Whites (RR = 0.62; CI: 0.52-0.74) and African Americans (RR = 0.67; CI: 0.49-0.91). Among each racial group within GRS tertiles, the Western dietary pattern was associated with development and cycling of MetS status between visits, and the high-fat dairy pattern with being free from MetS (p \u3c 0.017). The healthy dietary pattern was associated with higher risk of MetS among African Americans which may be explained by higher sucrose intake (p \u3c 0.0001). Fewer genes, but more metabolic pathways for obesity, body fat distribution, and lipid and carbohydrate metabolism were identified in African Americans than Whites. Some polymorphisms were linked to the Western and high-fat dairy patterns. CONCLUSION: The influence of dietary patterns on MetS risk appears to differ by genetic predisposition and racial ancestry

Preliminary Review of Spine Tumor Radiologic, Intra-Operative and Histopathology Findings, Addis Ababa, Ethiopia

BACKGROUND: Spinal tumors constitute 10-32% of all primary central nervous system tumors. Accurate radiologic and histopathology diagnosis is crucial in the management and prognosis. The aim of the study was to describe the imaging patterns and to determine the agreement of imaging pattern of spinal tumors with intra-operative and histopathology findings. METHODS: A retrospective cross-sectional study of 47 patients with spinal tumor done from May 2018 to October 2020. Medical records were reviewed for clinical data, history, physical examination, magnetic resonance imaging (MRI), intraoperative findings and histopathology reports. The agreement between imaging, intraoperative finding and histopathology diagnosis was analyzed. RESULTS: Intradural extramedullary tumors constituted 37 (78%) cases followed by six (12.8 %) extradural tumors and four (9.2%) intramedullary tumors. Schwannoma accounted for 13 (27.7%) cases followed by meningioma, 12 (25.5%) cases. Twenty-seven (57.4%) cases were thoracic level and cervical level were nine (19.1%) cases. Twelve (25.5%) cases did not have a definite intraoperative diagnosis. Imaging and intraoperative diagnosis was in agreement in 21 (44.6 %) cases and disagreed in 14 (29.7%) cases. For the imaging diagnosis and histopathology, 29 (61.7%) were in agreement and 18 (38.3 %) were in disagreement. CONCLUSION: In conclusion, the commonest site to be involved was the thoracic spine and schwannoma was the commonest tumor. The low agreement between imaging and histopathology could have been improved by optimizing the imaging reports and techniques

Community Perception and Attitude towards people with Depression among Adults Residing in Arba Minch Health and Demographic Surveillance Site (AM-HDSS), Southern Ethiopia

BACKGROUND: Negative perception and attitude of community prevents many people with depression and their caregivers from seeking help and receiving adequate treatment due to fear of social reaction and may try to hide the illness. The reasons for negative attitudes are not consistent across communities or cultures. Therefore, understanding the level of community perception and attitude towards people with depression is important to develop an intervention to reduce the impact of mental illness.METHODS: A community-based cross-sectional study was conducted among 617 randomly selected adults. The data was collected using structured, pre-tested, and interviewer-administered questionnaires. Descriptive statistics like frequency, mean, and median were performed. Bi-variable and multivariable logistic regression analyses were performed to identify the factors that affect the community attitude towards people with depression.RESULTS: Of the study population, 325(52.7%) had a good perception and 246(39.9%) had a positive attitude towards people with depression. The majority of study participants frequently identified as the perceived cause of depression was substance misuse, loss of loved one, and conflict within a family. In addition, psychosocial treatment was the most preferred treatment for people with depression in the study area. Marital status and educational status were significantly associated with the community attitude towards people with depressionCONCLUSION: Giving special attention to people with substance misuse, loss of loved one, and conflict within a family is very vital for the prevention of depression. In addition, future mental health promotion activities should focus on cause and common manifestation of depression to improve the attitude toward people with depression.&nbsp

A Roadmap for Building Data Science Capacity for Health Discovery and Innovation in Africa

Technological advances now make it possible to generate diverse, complex and varying sizes of data in a wide range of applications from business to engineering to medicine. In the health sciences, in particular, data are being produced at an unprecedented rate across the full spectrum of scientific inquiry spanning basic biology, clinical medicine, public health and health care systems. Leveraging these data can accelerate scientific advances, health discovery and innovations. However, data are just the raw material required to generate new knowledge, not knowledge on its own, as a pile of bricks would not be mistaken for a building. In order to solve complex scientific problems, appropriate methods, tools and technologies must be integrated with domain knowledge expertise to generate and analyze big data. This integrated interdisciplinary approach is what has become to be widely known as data science. Although the discipline of data science has been rapidly evolving over the past couple of decades in resource-rich countries, the situation is bleak in resource-limited settings such as most countries in Africa primarily due to lack of well-trained data scientists. In this paper, we highlight a roadmap for building capacity in health data science in Africa to help spur health discovery and innovation, and propose a sustainable potential solution consisting of three key activities: a graduate-level training, faculty development, and stakeholder engagement. We also outline potential challenges and mitigating strategies

Knowledge, attitudes and practices of health professionals towards people living with lymphoedema caused by lymphatic filariasis, podoconiosis and leprosy in northern Ethiopia

BACKGROUND: Podoconiosis, lymphatic filariasis and leprosy are highly stigmatised neglected tropical diseases that cause lymphoedema. Their enormous impacts on health-related quality of life, mental health and economic productivity can be significantly reduced by morbidity management and disability prevention (MMDP) services, but to deliver such services requires appropriate training of healthcare professionals. The aim of this study was to assess the knowledge, attitudes and practices (KAP) of rural Ethiopian healthcare professionals towards people with lymphoedema as a way to assess training needs. METHODS: This study used questionnaires to quantitatively assess KAP towards people with lymphoedema among rural healthcare professionals in northwest Ethiopia before and 12 months after a short training intervention. RESULTS: Questionnaires were administered to 14 health professionals at baseline and 21 at follow-up. At baseline, 71% (10/14) were found to hold at least one stigmatising attitude towards lymphoedema patients, compared with 66% (14/21) at follow-up. Large gaps in knowledge were noted, with many unable to identify ways of treating/preventing the diseases. CONCLUSIONS: This study showed high proportions of healthcare workers holding stigmatising views and lacking essential knowledge about lymphoedema. To maximise the impact of MMDP interventions, further research is urgently needed to understand how to address these issues

Leveraging Multilayered “Omics” Data for Atopic Dermatitis: A Road Map to Precision Medicine

Atopic dermatitis (AD) is a complex multifactorial inflammatory skin disease that affects ~280 million people worldwide. About 85% of AD cases begin in childhood, a significant portion of which can persist into adulthood. Moreover, a typical progression of children with AD to food allergy, asthma or allergic rhinitis has been reported (“allergic march” or “atopic march”). AD comprises highly heterogeneous sub-phenotypes/endotypes resulting from complex interplay between intrinsic and extrinsic factors, such as environmental stimuli, and genetic factors regulating cutaneous functions (impaired barrier function, epidermal lipid, and protease abnormalities), immune functions and the microbiome. Though the roles of high-throughput “omics” integrations in defining endotypes are recognized, current analyses are primarily based on individual omics data and using binary clinical outcomes. Although individual omics analysis, such as genome-wide association studies (GWAS), can effectively map variants correlated with AD, the majority of the heritability and the functional relevance of discovered variants are not explained or known by the identified variants. The limited success of singular approaches underscores the need for holistic and integrated approaches to investigate complex phenotypes using trans-omics data integration strategies. Integrating omics layers (e.g., genome, epigenome, transcriptome, proteome, metabolome, lipidome, exposome, microbiome), which often have complementary and synergistic effects, might provide the opportunity to capture the flow of information underlying AD disease manifestation. Overlapping genes/candidates derived from multiple omics types include FLG, SPINK5, S100A8, and SERPINB3 in AD pathogenesis. Overlapping pathways include macrophage, endothelial cell and fibroblast activation pathways, in addition to well-known Th1/Th2 and NFkB activation pathways. Interestingly, there was more multi-omics overlap at the pathway level than gene level. Further analysis of multi-omics overlap at the tissue level showed that among 30 tissue types from the GTEx database, skin and esophagus were significantly enriched, indicating the biological interconnection between AD and food allergy. The present work explores multi-omics integration and provides new biological insights to better define the biological basis of AD etiology and confirm previously reported AD genes/pathways. In this context, we also discuss opportunities and challenges introduced by “big omics data” and their integration