Productivity loss and cost of bovine tuberculosis for the dairy livestock sector in Ethiopia

Bovine tuberculosis (BTB) is endemic in Ethiopia. Although upgraded dairy cattle account for only 1% of the total cattle population, they are the backbone of the marketed milk production in the country. Supported by research data outputs from three years, we report in this paper an estimate of the productivity loss and cost of BTB to the Ethiopian dairy sector in two dairy settings, the urban production system in Central Ethiopia (model 1) and the national upgraded dairy production (model 2). Primary data sources were used (e.g. market survey; three-year longitudinal productivity survey; abattoir survey) as well as secondary data sources. A matrix population model, composed of a population vector representing the herd composition that is repeatedly multiplied with a projection matrix, was developed to simulate the livestock dairy population. The initial herd structure was simulated over 30 years to obtain an equilibrium herd-structure representing an Eigenvector of the projection matrix. We performed an incremental cost of disease analysis by comparing livestock production with and without BTB during a period of 10 years. We assumed a BTB prevalence of 40%. In year ten, the Net present value (NPV) of livestock production in terms of milk, meat and hides was estimated at 154.5 million USD for model 1 and 1.7 billion USD for model 2. Loss of NPV over 10 years was estimated at 12 million USD for model 1 and 131.7 million USD for model 2, representing roughly 7.3% loss in NPV or 219 USD per animal. This is a benchmark against which a national TB control program could be developed in the future to calculate its benefit/cost ratio

From farm to table: exploring food handling and hygiene practices of meat and milk value chain actors in Ethiopia

Livestock value chains constitute a source of livelihood for meat and milk value chain actors in Ethiopia, from dairy farmers to other associated value chain actors such as milk traders, abattoir workers, public health officials, veterinarians, butcheries selling meats, milk cooperatives, artisanal milk processors, and transporters. The development of these livestock value chains, however, is constrained by poor food safety and quality, while consumers are also exposed to public health risks due to milk and meat value chain actors’ food handling and hygiene practices. This study used Photovoice and participant observation to explore meat and milk value chain actors’ food handling and hygiene practices in suburban areas of Addis Ababa and neighbouring Oromia in Ethiopia. The results of this study reveal that milk and meat value chain actors’ food handling practices are not aligned with the recommended Ethiopian food safety and quality standards. Low compliance with food safety and quality standards reflected a combination of factors such as lack of incentives, poor road infrastructure and low enforcement of food safety standards. Participatory and visual research methods enable a researcher to collect context-aware data that can lead to the development of policies and intervention strategies that reflect local needs and priorities. The results of this study affirm the need to identify socially acceptable and economically viable policies and intervention strategies that are acceptable to all chain actors; and suggest there is an imperative to train milk and meat value chain actors on good hygiene handling practices, improve road infrastructure, and facilitate access equipment such as fridges and freezers that can contribute to maintaining food safety and quality

Adoption of dairy technologies in smallholder dairy farms in Ethiopia

The adoption of modern agricultural technologies in Ethiopia’s dairy production system remains underutilized and under-researched yet it is a promising sector to aid in reducing poverty, improving the food security situation and the welfare of rural households, and in ensuring environmental sustainability. This paper uses the Negative Binomial regression model to examine determinants of multiple agricultural technology adoption in the Addis Ababa and Oromia regions of Ethiopia. Data was collected from 159 smallholder dairy farms in Ethiopia’s Addis Ababa and Oromia regions exploring 19 technologies used by the farmers during the study period. The findings show that farm location and herd size impact adoption decisions. Increasing herd size is associated with increased uptake of multiple technologies. Further, as farmer education level increases the more likely farmers are to adopt multiple technologies. The increase in the number of female workers is positively associated with the adoption of multiple dairy technologies. In terms of farmers’/workers’ years of experience, those with no years of work experience are less likely to have adopted multiple technologies than those with more than 5 years of experience. However, this could be due to a number of factors where experience stands as a proxy value. Trust in information from government agencies was associated with a higher propensity to adopt multiple dairy technology as was farmer perception of fellow farmers as peers compared to those who perceive them as competitors. This is an important finding as it may help policymakers or institutions explore knowledge exchange and diffusion of innovation strategies tailored to specific farming and community situations. Studies have shown that farmers within a social group learn from each other more fully about the benefits and usage of new technology. These findings are of value in future technology adoption studies, particularly which factors influence the intensity of adoption of multiple technologies by smallscale producers

Effect of bovine tuberculosis on selected productivity parameters and trading in dairy cattle kept under intensive husbandry in Central Ethiopia

Bovine tuberculosis (BTB) has substantial impact on fertility, milk, and meat productivity in cattle. However, these assumptions are based on outdated data. Recent global studies on the impact of BTB on cattle productivity are scarce and show sometimes inconclusive and/or contradicting results. This pilot study is the first longitudinal study performed in urban upgraded dairy cattle in Ethiopia that are kept under intensive husbandry. We assessed whether BTB has an impact on various animal productivity parameters and animal movement. Animals (N = 890) included in the study were tested for BTB at least once using the comparative intradermal tuberculin test (CIDT). Fertility, mortality, and offtake were assessed in 21 dairy farms where herd follow-ups over 3 years were performed. In addition, an independent abattoir survey was conducted to assess carcass weight and visible TB-like lesions upon meat inspection. Animal movements (purchasing and offtakes) were documented for each farm. The impact of BTB status on the intervals been birth, service, and calving times and the intercalving intervals was analyzed using a Cox proportional hazards model. The hazard ratio associated with BTB-positive animals was smaller than 1 for all fertility parameters, suggesting that BTB status increases the time between events; however, the effect was small and only statistically significant (95% level) for the time between calving and service. Offtakes included a higher percentage of reactor animals (58%) as compared with non-reactor animals (42%) (p = 0.0001). Overall, reactors were eliminated from the farms within 238.6 days after receiving test results, which was 54.9 days faster than for negative animals. The majority of owners purchased animals within their town or its surrounding. Nearly a quarter of reactors were sold directly to other farms. Animals were also sold further away, including other regions, raising the question of disease spread and the need for an animal tracing mechanism. In the abattoir survey, a total of 349 carcasses were weighed, of which 8% showed visible TB-like lesions and 53.6% had fasciolosis. Negative adult bull carcasses were 7.5 kg heavier than reactor bulls

Incidence of persistent metopic suture and extra sacral foramina in Ethiopian population

Lack of knowledge of variations in human morphology and their magnitude compared to normal anatomy may have significant clinical consequences. Accurate knowledge of anatomical variations provides important information in medico-legal issues, forensic interpretation, diagnostics, imaging and patient management including surgical procedures. Although underreported, it is believed that a significant proportion of clinical malpractice is due to suboptimal knowledge of anatomical variations. The present study aims to assess the anatomical variations of locomotor system structures in twenty-four formalin fixed cadavers used for dissection as part of Gross Anatomy course for medical students. The study was conducted in six medical schools in Ethiopia in the academic year 2015/2016. Following critical observation and careful dissection, photographs were taken accordingly. Our findings show a complete persistence of metopic suture in 4.2 % of frontal bone, incedence of five anterior and five posterior sacral foramina in 4.2 % of sacral bones and biceps brachii muscle with three heads of origin in 2.1 % of brachia. Altogether, the findings show the incidence of anatomical variants of clinical importance that need consideration during surgical procedures, diagnosis - especially in distinguishing fracture of bones - and patient management in Ethiopian population with diverse socio-economic background and geographical origin

Prevalence of depression and anxiety symptoms and their determinant factors among patients with cancer in southern Ethiopia: a cross-sectional study

ObjectiveThe study was aimed to assess the prevalence of depression and anxiety symptoms and their determinant factors among patients with cancer attending follow-up at Hawassa University Comprehensive Specialized Hospital cancer treatment centre, Ethiopia.DesignInstitution-based cross-sectional study design was implemented.SettingPatients with cancer at Hawassa University Comprehensive Specialized Hospital cancer treatment centre from October 2019 to December 2019.ParticipantsRandomly selected 415 patients with cancer who had follow-up at cancer treatment centre.Main outcome measuresAnxiety and depression symptoms were assessed using Hospital Anxiety and Depression Scale.ResultThe prevalence rates of depression and anxiety symptoms were found to be 244 (58.8%) and 249 (60.0%), respectively. Older age (&gt;50 years) (AOR (adjusted OR)=2.24, 95% CI=1.14 to 4.40), being unemployed (AOR=1.96, 95% CI=1.08 to 3.56), advanced stage of cancer such as stage III (AOR=5.37, 95% CI=1.34 to 21.45) and stage IV (AOR=4.55, 95% CI=1.12 to 18.44), comorbid psychotic symptoms (AOR=1.67, 95% CI=1.07 to 2.61) and eating problem in the past 2 weeks (AOR=6.16, 95% CI=1.98 to 19.11) were independent factors significantly associated with depressive symptoms. In addition, cancer stage such as stage II (AOR=3.92, 95% CI=1.07 to 14.36) and stage IV (AOR=5.04, 95% CI=1.44 to 17.59) and comorbid psychotic symptoms (AOR=1.73, 95% CI=1.12 to 2.66) were significantly associated with anxiety symptoms.ConclusionDepression and anxiety symptoms among patients with cancer were considerably high. Age, occupation, cancer stage, comorbid psychotic symptoms and eating problem were determinant factors of depressive symptoms among patients with cancer. Moreover, cancer stage and comorbid psychosis were determinants of anxiety symptoms. Healthcare professionals working in the oncology unity need to conduct routine screening and treatment of depression and anxiety symptoms for patients with cancer.</jats:sec

Wheat rust epidemics damage Ethiopian wheat production: A decade of field disease surveillance reveals national-scale trends in past outbreaks.

Wheat rusts are the key biological constraint to wheat production in Ethiopia-one of Africa's largest wheat producing countries. The fungal diseases cause economic losses and threaten livelihoods of smallholder farmers. While it is known that wheat rust epidemics have occurred in Ethiopia, to date no systematic long-term analysis of past outbreaks has been available. We present results from one of the most comprehensive surveillance campaigns of wheat rusts in Africa. More than 13,000 fields have been surveyed during the last 13 years. Using a combination of spatial data-analysis and visualization, statistical tools, and empirical modelling, we identify trends in the distribution of wheat stem rust (Sr), stripe rust (Yr) and leaf rust (Lr). Results show very high infection levels (mean incidence for Yr: 44%; Sr: 34%; Lr: 18%). These recurrent rust outbreaks lead to substantial economic losses, which we estimate to be of the order of 10s of millions of US-D annually. On the widely adopted wheat variety, Digalu, there is a marked increase in disease prevalence following the incursion of new rust races into Ethiopia, which indicates a pronounced boom-and-bust cycle of major gene resistance. Using spatial analyses, we identify hotspots of disease risk for all three rusts, show a linear correlation between altitude and disease prevalence, and find a pronounced north-south trend in stem rust prevalence. Temporal analyses show a sigmoidal increase in disease levels during the wheat season and strong inter-annual variations. While a simple logistic curve performs satisfactorily in predicting stem rust in some years, it cannot account for the complex outbreak patterns in other years and fails to predict the occurrence of stripe and leaf rust. The empirical insights into wheat rust epidemiology in Ethiopia presented here provide a basis for improving future surveillance and to inform the development of mechanistic models to predict disease spread

Epidemiology of Mycobacterium tuberculosis lineages and strain clustering within urban and peri-urban settings in Ethiopia

Background Previous work has shown differential predominance of certain Mycobacterium tuberculosis (M. tb) lineages and sub-lineages among different human populations in diverse geographic regions of Ethiopia. Nevertheless, how strain diversity is evolving under the ongoing rapid socio-economic and environmental changes is poorly understood. The present study investigated factors associated with M. tb lineage predominance and rate of strain clustering within urban and peri-urban settings in Ethiopia. Methods Pulmonary Tuberculosis (PTB) and Cervical tuberculous lymphadenitis (TBLN) patients who visited selected health facilities were recruited in the years of 2016 and 2017. A total of 258 M. tb isolates identified from 163 sputa and 95 fine-needle aspirates (FNA) were characterized by spoligotyping and compared with international M.tb spoligotyping patterns registered at the SITVIT2 databases. The molecular data were linked with clinical and demographic data of the patients for further statistical analysis. Results From a total of 258 M. tb isolates, 84 distinct spoligotype patterns that included 58 known Shared International Type (SIT) patterns and 26 new or orphan patterns were identified. The majority of strains belonged to two major M. tb lineages, L3 (35.7%) and L4 (61.6%). The observed high percentage of isolates with shared patterns (n = 200/258) suggested a substantial rate of overall clustering (77.5%). After adjusting for the effect of geographical variations, clustering rate was significantly lower among individuals co-infected with HIV and other concomitant chronic disease. Compared to L4, the adjusted odds ratio and 95% confidence interval (AOR; 95% CI) indicated that infections with L3 M. tb strains were more likely to be associated with TBLN [3.47 (1.45, 8.29)] and TB-HIV co-infection [2.84 (1.61, 5.55)]. Conclusion Despite the observed difference in strain diversity and geographical distribution of M. tb lineages, compared to earlier studies in Ethiopia, the overall rate of strain clustering suggests higher transmission and warrant more detailed investigations into the molecular epidemiology of TB and related factors