Poverty Analysis of Children in Child Headed Households in Addis Ababa

This study attempts to analyse the economic and social situation of children living in child‐headed households using a poverty analysis framework. The study used family of indexes developed by Foster, Greer and Thorbecke (1984) commonly known as FGT measures to measure aggregate poverty and micro‐econometric method to uncover the various determinants of poverty status of children in child‐headed households. Quantitative method (Household survey) was used to generate information. From the descriptive statistics we found out that the average monthly per capita income is about half of the poverty line and the average level of consumption is also by far below the poverty line. We found out that about 77.3% of the total CHHs are below the absolute poverty line. This figure is far below from the national urban average poverty level, reflecting the miserable living standard of CHHs. The difference in level of income and consumption between male‐headed and female‐headed households is very high. Close to 90% of female CHHs are living below the poverty line while the percentage for male CHHs is 59%. Gender differential is obvious in CHHs, indicating that female child headship leads to low level of welfare.From the regression result we found out that sex, size of household and age are determinants of child poverty. Male CHHs are less exposed to poverty compared to females. Household size increases the probability of falling into poverty, while its square reduced the probability of falling into poverty indicating the presence of economies of scale at the household level. The age of the head shows that the risk of poverty increases as age increases but at a decreasing rate as indicated by the coefficient on its squared variable. Likewise, increase in mean household age statistically is likely to worsen poverty

Prevalence and Associated Factors of Hypertension Among Civil Servants Working in Arba Minch Town, South Ethiopia

Despite Hypertension is a global public health challenge and a leading modifiable risk factor for cardiovascular disease and death attention was not given in developing countries. Therefore measuring the prevalence and identifying predictors of Hypertension is very important. Institution based cross sectional study design was employed from March–April, 2016 by taking 319 randomly selected civil servants working in in Arba Minch town. Data was collected using structured questionnaire and standardized instruments for physical examination by 5 trained nurses. SPSS version 20 was used for data analysis. Bi-variable and Multivariate logistic regression was employed for analysis of risk factors. The mean SBP and DBP of study participants were 120.87 + 14.15 mmHg and 80.28 + 8.8 mmHg, respectively. The prevalence of hypertension was found to be 27.8% (95% CI = 22.9-32.7%). Civil servants of age 50 years and above [AOR = 13.3], age 40-49 years [AOR = 5], age 30-39 years [AOR = 3.5], abdominal obesity [AOR=12.2], general obesity [AOR = 4.2], stress status [AOR = 12.3], current alcohol drink [AOR = 3.3], ex-drinker [AOR = 8.9] and family history of hypertension [AOR = 5.6] were found to be significantly associated with hypertension. The prevalence indicates that it is hidden epidemic in this population; therefore for screening and risk reduction program are needed

Incidence of Opportunistic Infections Among Adult HIV Positive People Receiving Co-trimoxazole Prophylaxis

In Ethiopia, Co-trimoxazole prophylaxis therapy (CPT) used to prevent opportunistic infections among people living with HIV is the standard of practice; however incidence of opportunistic infection and their predictors are rarely documented in the country. This was a retrospective follow up study to describe the incidence and predictors of opportunistic infections among 244 adults receiving CPT. Participants were followed for a median time of 72 weeks. During a study period a total of 53opportunistic infections were recorded; making the overall incidence rate 23.9/100 person-years. High incidence of opportunistic infections is likely to occur if: the clients were married (adjusted hazard ratio (AHR) 1.965;(95% CI: 1.109, 3.451), had history of tuberculosis treatment (AHR: 2.34(95% CI:1.05, 5.24)), patients who are indicated for CPT because of both clinical and WHO clinical staging criteria(AHR 2.418 (95% CI:1.02, 5.72 ),and had poor adherence to CPT (AHR, 2.11 (95% CI: 1.19-3.72)). Eventhough adherence is non-substitutable strategy to prevent opportunistic infection, the cohort of HIV patients failed to adhere to CPT, which in turn resulthigh incidence of opportunistic infections among them, therefore improving adherence as guideline should be a priority to prevent OIs among people living with HIV in the study region

Land Surface Phenology and Seasonality Using Cool Earthlight in Croplands of Eastern Africa and the Linkages to Crop Production

Across Eastern Africa, croplands cover 45 million ha. The regional economy is heavily dependent on small holder traditional rain-fed peasant agriculture (up to 90%), which is vulnerable to extreme weather events such as drought and floods that leads to food insecurity. Agricultural production in the region is moisture limited. Weather station data are scarce and access is limited, while optical satellite data are obscured by heavy clouds limiting their value to study cropland dynamics. Here, we characterized cropland dynamics in Eastern Africa for 2003–2015 using precipitation data from Tropical Rainfall Measuring Mission (TRMM) and a passive microwave dataset of land surface variables that blends data from the Advanced Microwave Scanning Radiometer (AMSR) on the Earth Observing System (AMSR-E) from 2002 to 2011 with data from AMSR2 from 2012 to 2015 with a Chinese microwave radiometer to fill the gap. These time series were analyzed in terms of either cumulative precipitable water vapor-days (CVDs) or cumulative actual evapotranspiration-days (CETaDs), rather than as days of the year. Time series of the land surface variables displayed unimodal seasonality at study sites in Ethiopia and South Sudan, in contrast to bimodality at sites in Tanzania. Interannual moisture variability was at its highest at the beginning of the growing season affecting planting times of crops, while it was lowest at the time of peak moisture. Actual evapotranspiration (ETa) from the simple surface energy balance (SSEB) model was sensitive to track both unimodal and bimodal rainfall patterns. ETa as a function of CETaD was better fitted by a quadratic model (r2 \u3e 0.8) than precipitable water vapor was by CVDs (r2 \u3e 0.6). Moisture time to peak (MTP) for the land surface variables showed strong, logical correspondence among variables (r2 \u3e 0.73). Land surface parameters responded to El Niño-Southern Oscillation and the Indian Ocean Dipole forcings. Area under the curve of the diel difference in vegetation optical depth showed correspondence to crop production and yield data collected by local offices, but not to the data reported at the national scale. A long-term seasonal Mann–Kendall rainfall trend showed a significant decrease for Ethiopia, while the decrement was not significant for Tanzania. While there is significant potential for passive microwave data to augment cropland status and food security monitoring efforts in the region, more research is needed before these data can be used in an operational environmen

Comparing Passive Microwave with Visible-To-Near-Infrared Phenometrics in Croplands of Northern Eurasia

Planting and harvesting times drive cropland phenology. There are few datasets that derive explicit phenological metrics, and these datasets use the visible to near infrared (VNIR) spectrum. Many different methods have been used to derive phenometrics such as Start of Season (SOS) and End of Season (EOS), leading to differing results. This discrepancy is partly due to spatial and temporal compositing of the VNIR satellite data to minimize data gaps resulting from cloud cover, atmospheric aerosols, and solar illumination constraints. Phenometrics derived from the downward Convex Quadratic model (CxQ) include Peak Height (PH) and Thermal Time to Peak (TTP), which are more consistent than SOS and EOS because they are minimally affected by snow and frost and other non-vegetation related issues. Here, we have determined PH using the vegetation optical depth (VOD) in three microwave frequencies (6.925, 10.65 and 18.7 GHz) and accumulated growing degree-days derived from AMSR-E (Advanced Microwave Scanning Radiometer on EOS) data at a spatial resolution of 25 km. We focus on 50 AMSR-E cropland pixels in the major grain production areas of Northern Eurasia (Ukraine, southwestern Russia, and northern Kazakhstan) for 2003–2010. We compared the land surface phenologies of AMSR-E VOD and MODIS NDVI data. VOD time series tracked cropland seasonal dynamics similar to that recorded by the NDVI. The coefficients of determination for the CxQ model fit of the NDVI data were high for all sites (0.78 \u3c R2 \u3c 0.99). The 10.65 GHz VOD (VOD1065GHz) achieved the best linear regression fit (R2 = 0.84) with lowest standard error (SEE = 0.128); it is therefore recommended for microwave VOD studies of cropland land surface phenology. Based on an Analysis of Covariance (ANCOVA) analysis, the slopes from the linear regression fit were not significantly different by microwave frequency, whereas the intercepts were significantly different, given the different magnitudes of the VODs. PHs for NDVI and VOD were highly correlated. Despite their strong correspondence, there was generally a lag of AMSR-E PH VOD10.65GHz by about two weeks compared to MODIS peak greenness. To evaluate the utility of the PH determination based on maximum value, we correlated the CxQ derived and maximum value determined PHs of NDVI and found that they were highly correlated with R2 of 0.87, but with a one-week bias. Considering the one-week bias between the two methods, we find that PH of VOD10.65GHz lags PH of NDVI by three weeks. We conclude, therefore, that maximum-value based PH of VOD can be a complementary phenometric for the CxQ model derived PH NDVI, especially in cloud and aerosol obscured regions of the world

Byssinosis and other respiratory symptoms among factory workers in Akaki textile factory, Ethiopia

Background: Textile cotton workers are at risk for occupational lung disease, including Byssinosis and chronic Bronchitis. Byssinosis is primarily associated with exposure to cotton dust.Objectives: To determine the prevalence of and factors associated with byssinosis and respiratory symptoms among workers in cotton mills of Akaki textile factory.Methods: A cross-sectional study was conducted among 417 randomly selected factory workers. Information was collected through interview using the modified American Thoracic Society standard respiratory symptoms questionnaires. Forced expiratory volume in 1 sec (FEV1), forced vital capacity (FVC) and FEV1/FVC ratio were measured using portable medical spirometers. Area sampling for cotton dust concentration in the work environment was measured using Data RAM 4 real time measurement for 8 hours during a day shift.Results: The highest prevalence of respiratory symptoms was found in the carding section - cough 77%, phlegm 62%, chest tightness 46% and dyspnea 62%. The Overall prevalence of chronic bronchitis was 32%. Those working in the carding section appeared 13 times more likely to have chronic bronchitis compared to other sections (Adjusted OR=13.4, 95% CI 3.43-52.6). The prevalence of byssinosis was 38%; the highest being recorded in the carding section at 84.6%. High exposure to cotton dust was noted among those in the blowing and carding section at mean dust levels of 32.2 mg/m3 and 8 mg/m3, respectively. About 11% of byssinotics developed severe chronic FEV1 changes. Conclusion: This study provides evidence of a strong relationship between exposure to cotton dust and byssinosis and other respiratory impairments, which is mediated through chronic ventilator impairments. Preventive measures are warranted in order to reduce the high prevalence of byssinosis and other respiratory disorders in textile manufacturing. [Ethiop. J .Health Dev. 2010;24(2):133-139

Gossypiboma: A Case Series and Literature Review

BACKGROUND: Gossypiboma (retained surgical sponge) is a rare medical event. It could cause a serious complication that can threaten patients’ life. Its diagnosis is usually difficult because the clinical symptoms are nonspecific and the imaging findings are often inconclusive.CASE PRESENTATIONS: We present two cases, a 32 years old woman who passed a retained surgical sponge via rectum 5 months after cesarean section and a 30 years old lady presented with an acute abdomen that later found to have localized right lower quadrant abscess with a retained surgical sponge.CONCLUSION: The most important approach to reduce the incidence of gossypiboma is prevention. At the end of the surgery, a correct count is always the gold standard safeguard against it. Although errors are not to be completely avoided, continuous CPD and strict adherence to rules of the operating room will reduce its incidence to a minimum

Evaluation of disease incidence and severity and yield loss of finger millet varieties and mycelial growth inhibition of Pyricularia grisea isolates using biological antagonists and fungicides in vitro condition.

Objective: The aim of this study was to conduct a survey on the disease incidence and severity at 5 agroecological zones of Ethiopia. Moreover, the study was also designed to carry out pathogenicity test, estimate yield losses caused by test pathogen and in vitro evaluation of fungicides and biocontrol agents against finger millet blast isolates. Methodology and Results: The incidence of finger millet blast was assessed as the percentage of plants with visible symptoms in a field and greenhouse. Blast severity was also evaluated as the percentage of leaf area with symptoms. From the surveyed areas, maximum disease incidence and severity were recorded in west Wollega zone with 63.03 and 34.60%, and lowest disease incidence and severity was recorded in Awi zone with 46.7 and 15.7%, respectively. A total of 42 isolates of P. grisea were collected and isolated from infected finger millet plants and wild relatives from five agro-ecological zones of Ethiopia. The pathogenicity test conducted in greenhouse on three finger millet varieties also indicated that among P. grisea isolates, Pg.11, Pg.41 and Pg.40 showed the highest disease incidence on all the three varieties with 74.8, 69.5 and 66.5%, respectively. Moreover, the highest disease severity with 27.7 and 27.8% were observed by isolates Pg.11 and Pg.41, respectively. In vitro evaluation and testing of Trichoderma viride have showed maximum mycelial growth inhibition with 77.1% and 74.1% by isolates Pg.41 and Pg.22, respectively; while Pseudomonas fluorescens showed maximum mycelial growth inhibition by isolates Pg.40 (57.2%), followed by Pg.26 (56.1%). The efficacy tests of four fungicides evaluated for their antifungal activity showed Sancozeb (85.50- 88.40%) as the most effective fungicide to inhibit mycelial growth of P. grisea.Conclusion and application of findings: The highest percent of mycelial growth inhibition of P. grisea isolates was observed by T.harzianum and T. viride and followed by Pseudomonas fluorescens. Sancozeb was the most effective fungicide and also showed the highest mycelial growth inhibition on the isolate of P. grisea and followed by ridomil, bayleton, and curzate. From in vitro evaluation of the effectiveness of biological agents and fungicides against the mycelia growth of P.grisea isolates, fungicides were most effective for the control of blast disease of finger millet than biological agents.Keywords: Biocontrol, Blast disease, Eleusine coracana, Fungicide, Pyricularia grisea

Characterizing Cropland Phenology in Major Grain Production Areas of Russia, Ukraine, and Kazakhstan by the Synergistic Use of Passive Microwave and Visible to Near Infrared Data

We demonstrate the synergistic use of surface air temperature retrieved from AMSR-E (Advanced Microwave Scanning Radiometer on Earth observing satellite) and two vegetation indices (VIs) from the shorter wavelengths of MODIS (MODerate resolution Imaging Spectroradiometer) to characterize cropland phenology in the major grain production areas of Northern Eurasia from 2003–2010. We selected 49 AMSR-E pixels across Ukraine, Russia, and Kazakhstan, based on MODIS land cover percentage data. AMSR-E air temperature growing degree-days (GDD) captures the weekly, monthly, and seasonal oscillations, and well correlated with station GDD. A convex quadratic (CxQ) model that linked thermal time measured as growing degree-days to accumulated growing degree-days (AGDD) was fitted to each pixel’s time series yielding high coefficients of determination (0.88 ≤ r2 ≤ 0.98). Deviations of observed GDD from the CxQ model predicted GDD by site corresponded to peak VI for negative residuals (period of higher latent heat flux) and low VI at beginning and end of growing season for positive residuals (periods of higher sensible heat flux). Modeled thermal time to peak, i.e., AGDD at peak GDD, showed a strong inverse linear trend with respect to latitude with r2 of 0.92 for Russia and Kazakhstan and 0.81 for Ukraine. MODIS VIs tracked similar seasonal responses in time and space and were highly correlated across the growing season with r2 \u3e 0.95. Sites at lower latitude (≤49°N) that grow winter and spring grains showed either a bimodal growing season or a shorter unimodal winter growing season with substantial inter-annual variability, whereas sites at higher latitude (≥56°N) where spring grains are cultivated exhibited shorter, unimodal growing seasons. Sites between these extremes exhibited longer unimodal growing seasons. At some sites there were shifts between unimodal and bimodal patterns over the study period. Regional heat waves that devastated grain production in 2007 in Ukraine and in 2010 in Russia and Kazakhstan appear clearly anomalous. Microwave based surface air temperature data holds great promise to extend to parts of the planet where the land surface is frequently obscured by clouds, smoke, or aerosols, and where routine meteorological observations are sparse or absent