Prevalence of Salmonella Infection in Intensive Poultry Farms in Hawassa and Isolation of Salmonella species from sick and dead chickens

A bacteriological study of Salmonella Gallinarum/Pullorum was conducted in intensively managed chickens in Hawassa, Ethiopia between November 2008 and May 2009. The objectives of the study were to estimate the bacteriological prevalence of S. Gallinarum/Pullorum in apparently healthy chickens and to assess the proportional morbidity/mortality from S. Gallinarum/Pullorum in sick/dead chickens. Cloacal swabs were collected from a total of 380 randomly selected chickens from 3 poultry farms to estimate the prevalence, whereas necropsy samples of liver, spleen and ceca were collected from 31 sick/dead chickens to estimate the proportional morbidity/mortality. The prevalence of Salmonella infection (S. Gallinaum/Pullorum) was 0.8% (3/380), while isolation was possible from 16.1% (5/31) sick/dead chickens. Only S. Gallinarum was isolated from cloacal swabs. Of the 6 isolates obtained from necropsy samples 1 was S. Pullorum and the rest 5 S. Gallinarum; and, 3 were from liver, 2 from cecum and 1 from spleen. It is concluded that salmonellosis is prevalent and fowl typhoid and pullorum disease have significant role in morbidity and mortality of intensively managed chickens in Hawassa. This result may indicate the challenge that the poultry industry of the country may face from S. Gallinarum/Pullorum in the future in its intensification. Concerted efforts, therefore, should be made at national and local levels to control the diseases. Keywords ∙ Ethiopia ∙ Hawassa ∙ Isolation ∙ Prevalence ∙ Salmonella Gallinarum- Pulloru

Cactus Pear (Opuntia ficus-indica L.) a Valuable Crop for Restoration of Degraded Soils in Northern Ethiopia

Opuntia ficus-indica (L.) commonly referred to as cactus pear is a dicotyledonous angiosperm plant. It belongs to the Cactaceae family and is characterized by its remarkable adaptation to arid and semi-arid climates in tropical and subtropical regions of the globe. Opuntia species have developed phenological, physiological and structural adaptations for growth and survival in arid and semi-arid environments where severe water stress hinders the survival of other plant species. Among these adaptations, the asynchronous reproduction and CAM metabolism of cactus stands out, which combined with structural adaptations such as succulence, allow them to continue the assimilation of carbon dioxide during long periods of drought reaching acceptable productivity levels even in years of severe drought. In the present stud soil physical and chemical properties are considerably improved under the canopies of cactus pear compared to adjacent open areas. The generalized linear model showed that soil organic carbon, soil total nitrogen, soil available phosphorus, soil bulk density, soil moisture, and electric conductivity of soil samples were positively and significantly influenced by cactus pear canopy cover compared to adjacent open areas. Keywords: Cactus pear, land degradation, restoration, physical property, chemical property, northern Ethiopi

Land Cover Map for Multifunctional Landscapes of Taita Taveta County, Kenya, Based on Sentinel-1 Radar, Sentinel-2 Optical, and Topoclimatic Data

Taita Taveta County (TTC) is one of the world’s biodiversity hotspots in the highlands with some of the world’s megafaunas in the lowlands. Detailed mapping of the terrestrial ecosystem of the whole county is of global significance for biodiversity conservation. Here, we present a land cover map for 2020 based on satellite observations, a machine learning algorithm, and a reference database for accuracy assessment. For the land cover map production processing chain, temporal metrics from Sentinel-1 and Sentinel-2 (such as median, quantiles, and interquartile range), vegetation indices from Sentinel-2 (normalized difference vegetation index, tasseled cap greenness, and tasseled cap wetness), topographic metrics (elevation, slope, and aspect), and mean annual rainfall were used as predictors in the gradient tree boost classification model. Reference sample points which were collected in the field were used to guide the collection of additional reference sample points based on high spatial resolution imagery for training and validation of the model. The accuracy of the land cover map and uncertainty of area estimates at 95% confidence interval were assessed using sample-based statistical inference. The land cover map has an overall accuracy of 81 ± 2.3% and it is freely accessible for land use planners, conservation managers, and researchers

Land Cover Map for Multifunctional Landscapes of Taita Taveta County, Kenya, Based on Sentinel-1 Radar, Sentinel-2 Optical, and Topoclimatic Data

Taita Taveta County (TTC) is one of the world’s biodiversity hotspots in the highlands with some of the world’s megafaunas in the lowlands. Detailed mapping of the terrestrial ecosystem of the whole county is of global significance for biodiversity conservation. Here, we present a land cover map for 2020 based on satellite observations, a machine learning algorithm, and a reference database for accuracy assessment. For the land cover map production processing chain, temporal metrics from Sentinel-1 and Sentinel-2 (such as median, quantiles, and interquartile range), vegetation indices from Sentinel-2 (normalized difference vegetation index, tasseled cap greenness, and tasseled cap wetness), topographic metrics (elevation, slope, and aspect), and mean annual rainfall were used as predictors in the gradient tree boost classification model. Reference sample points which were collected in the field were used to guide the collection of additional reference sample points based on high spatial resolution imagery for training and validation of the model. The accuracy of the land cover map and uncertainty of area estimates at 95% confidence interval were assessed using sample-based statistical inference. The land cover map has an overall accuracy of 81 ± 2.3% and it is freely accessible for land use planners, conservation managers, and researchers

Stress and resilience during pregnancy:A comparative study between pregnant and non-pregnant women in Ethiopia

BackgroundStress during pregnancy is associated with perturbances in maternal psychology and physiology,and results in adverse pregnancy and birth outcomes. However, little attention hasbeen given to understand maternal stress and its potential negative consequences in manylow- and middle-income countries. We aimed to investigate whether pregnancy is associatedwith greater stress and lower psychological resilience among women living in Jimma,Southwest Ethiopia.MethodAn institution-based comparative cross-sectional study design was implemented in JimmaUniversity Medical Center and Jimma health centers from 15 September to 30 November2021. Women attending antenatal care and family planning services were invited to participatein the study. Participants were interviewed using the Perceived Stress Scale (PSS-10),Brief Resilience Scale (BRS), distress questionnaire-5, and the Household Food InsecurityAccess Scale (HFIAS). Linear regression analysis was used to test associations betweenpregnancy (exposure) and outcomes of interest (stress and resilience scores), while adjustingfor potential confounders. Stress and resilience were mutually adjusted for one anotherin the final model.ResultsA total of 166 pregnant and 154 non-pregnant women participated, with mean age of 27.0SD 5.0 and 29.5 SD 5.3 years respectively. Pregnancy was associated with increasedstress score by 4.1 points (β = 4.1; 95% CI: 3.0, 5.2), and with reduced resilience by 3.3 points (β = -3.3; 95% CI: -4.5, -2.2) in a fully adjusted model. In mutually-adjusted models,pregnancy was independently associated with greater stress (β = 2.9, 95% CI 1.8, 3.9) andlower resilience (β = -1.3, 95% CI: -2.5, -0.2) compared to non-pregnant women.ConclusionIn this low income setting, pregnancy is associated with greater vulnerability in the mentalhealth of women, characterized by greater perceived stress and diminished resilience. Context-relevant interventions to improve resilience and reduce stress could help improve thehealth and wellbeing of mothers, with potential benefits for their offspring

Effects of relaxation interventions during pregnancy on maternal mental health, and pregnancy and newborn outcomes:A systematic review and meta-analysis

BACKGROUND: Stress during pregnancy is detrimental to maternal health, pregnancy and birth outcomes and various preventive relaxation interventions have been developed. This systematic review and meta-analysis aimed to evaluate their effectiveness in terms of maternal mental health, pregnancy and birth outcomes.METHOD: The protocol for this review is published on PROSPERO with registration number CRD42020187443. A systematic search of major databases was conducted. Primary outcomes were maternal mental health problems (stress, anxiety, depression), and pregnancy (gestational age, labour duration, delivery mode) and birth outcomes (birth weight, Apgar score, preterm birth). Randomized controlled trials or quasi-experimental studies were eligible. Meta-analyses using a random-effects model was conducted for outcomes with sufficient data. For other outcomes a narrative review was undertaken.RESULT: We reviewed 32 studies comprising 3,979 pregnant women aged 18 to 40 years. Relaxation interventions included yoga, music, Benson relaxation, progressive muscle relaxation (PMR), deep breathing relaxation (BR), guided imagery, mindfulness and hypnosis. Intervention duration ranged from brief experiment (~10 minutes) to 6 months of daily relaxation. Meta-analyses showed relaxation therapy reduced maternal stress (-4.1 points; 95% Confidence Interval (CI): -7.4, -0.9; 9 trials; 1113 participants), anxiety (-5.04 points; 95% CI: -8.2, -1.9; 10 trials; 1965 participants) and depressive symptoms (-2.3 points; 95% CI: -3.4, -1.3; 7 trials; 733 participants). Relaxation has also increased offspring birth weight (80 g, 95% CI: 1, 157; 8 trials; 1239 participants), explained by PMR (165g, 95% CI: 100, 231; 4 trials; 587 participants) in sub-group analysis. In five trials evaluating maternal physiological responses, relaxation therapy optimized blood pressure, heart rate and respiratory rate. Four trials showed relaxation therapy reduced duration of labour. Apgar score only improved significantly in two of six trials. One of three trials showed a significant increase in birth length, and one of three trials showed a significant increase in gestational age. Two of six trials examining delivery mode showed significantly increased spontaneous vaginal delivery and decreased instrumental delivery or cesarean section following a relaxation intervention.DISCUSSION: We found consistent evidence for beneficial effects of relaxation interventions in reducing maternal stress, improving mental health, and some evidence for improved maternal physiological outcomes. In addition, we found a positive effect of relaxation interventions on birth weight and inconsistent effects on other pregnancy or birth outcomes. High quality adequately powered trials are needed to examine impacts of relaxation interventions on newborns and offspring health outcomes.CONCLUSION: In addition to benefits for mothers, relaxation interventions provided during pregnancy improved birth weight and hold some promise for improving newborn outcomes; therefore, this approach strongly merits further research

Body mass index trajectories in early childhood in relation to cardiometabolic risk profile and body composition at 5 years of age

BACKGROUND: Both impaired and accelerated postnatal growth have been associated with adult risks of obesity and cardiometabolic diseases, like type 2 diabetes and cardiovascular disease. However, the timing of the onset of cardiometabolic changes and the specific growth trajectories linking early growth with later disease risks are not well understood. OBJECTIVES: The aim of this study was to identify distinct trajectories of BMI growth from 0 to 5 y and examine their associations with body composition and markers of cardiometabolic risk at age 5 y. METHODS: In a prospective birth cohort study of 453 healthy and term Ethiopian children with BMIs assessed a median of 9 times during follow-up, we identified subgroups of distinct BMI trajectories in early childhood using latent class trajectory modeling. Associations of the identified growth trajectories with cardiometabolic markers and body composition at 5 y were analyzed using multiple linear regression analyses in 4 adjustment models for each outcome. RESULTS: We identified 4 heterogeneous BMI growth trajectories: stable low BMI (19.2%), normal BMI (48.8%), rapid catch-up to high BMI (17.9%), and slow catch-up to high BMI (14.1%). Compared with the normal BMI trajectory, children in the rapid catch-up to high BMI trajectory had higher triglycerides (TGs) (range of β-coefficients in Models 1-4: 19-21%), C-peptides (23-25%), fat masses (0.48-0.60 kg), and fat-free masses (0.50-0.77 kg) across the 4 adjustment models. Children in the stable low BMI trajectory had lower LDL cholesterol concentrations (0.14-0.17 mmol/L), HDL cholesterol concentrations (0.05-0.09 mmol/L), fat masses (0.60-0.64 kg), and fat-free masses (0.35-0.49 kg), but higher TGs (11-13%). CONCLUSIONS: The development of obesity and cardiometabolic risks may be established already in early childhood; thus, our data provide a further basis for timely interventions targeted at young children from low-income countries with unfavorable growth patterns. The birth cohort was registered at ISRCTN as ISRCTN46718296