Measuring Male-Female Productivity Differentials in Ethiopian Agriculture: Policy Implications for Improving the Livelihood of Female Farmers

An understanding of the efficiency with which women farmers are operating, particularly where they account for the largest share of the labor force required for agricultural production, is essential for designing appropriate policies to improve the overall performance of agriculture as well as the livelihood of women farmers. This paper contributes to the gender productivity debate by drawing on crop production data collected in three districts (Ada, Akaki and Gimbichu) in East Shoa, Ethiopia during the 1999/2000 cropping season through detailed multi-visit surveys of 80 farm households of which 39 were female-headed households. Using the Tornqvist-Theil index, Total factor productivity (TFP) is measured to analyze crop production efficiency differentials between male and female headed households. The analysis demonstrates that there is little evidence that male-female differences per se account f or productivity differentials in crop production. The results imply that the variation in overall TFP can only arise due to differentials in access to the quality of human and physical resources and services, and differential control of the benefits from output by women versus men. Hence, appropriate institutional frameworks that reduce cultural and social barriers associated with women farmers' access to such resources and benefits should be developed. Policies targeted towards increasing female farmers' access to education, extension services, credit, adequate amount of quality land and other resources including control over the benefits, will improve the overall productivity and livelihood of female farmers.Agricultural efficiency, total factor productivity, gender, Ethiopian agriculture, Labor and Human Capital, D2, Q12, Q18,

Promoting global watershed management towards rural communities: the May Zeg-zeg initiativeLength: pp.192-195

Watershed managementRural development

Spatial analysis of malaria incidence at the village level in areas with unstable transmission in Ethiopia

<p>Abstract</p> <p>Background</p> <p>Malaria is the leading cause of morbidity and mortality in Ethiopia, accounting for over five million cases and thousands of deaths annually. The risks of morbidity and mortality associated with malaria are characterized by spatial and temporal variation across the country. This study examines the spatial and temporal patterns of malaria transmission at the local level and implements a risk mapping tool to aid in monitoring and disease control activities.</p> <p>Methods</p> <p>In this study, we examine the global and local patterns of malaria distribution in 543 villages in East Shoa, central Ethiopia using individual-level morbidity data collected from six laboratory and treatment centers between September 2002 and August 2006.</p> <p>Results</p> <p>Statistical analysis of malaria incidence by sex, age, and village through time reveal the presence of significant spatio-temporal variations. Poisson regression analysis shows a decrease in malaria incidence with increasing age. A significant difference in the malaria incidence density ratio (IDRs) is detected in males but not in females. A significant decrease in the malaria IDRs with increasing age is captured by a quadratic model. Local spatial statistics reveals clustering or hot spots within a 5 and 10 km distance of most villages in the study area. In addition, there are temporal variations in malaria incidence.</p> <p>Conclusion</p> <p>Malaria incidence varies according to gender and age, with males age 5 and above showing a statistically higher incidence. Significant local clustering of malaria incidence occurs between pairs of villages within 1–10 km distance lags. Malaria incidence was higher in 2002–2003 than in other periods of observation. Malaria hot spots are displayed as risk maps that are useful for monitoring and spatial targeting of prevention and control measures against the disease.</p

Proximate determinants of fertility in Ethiopia: comparative analysis of the 2005 and 2011 DHS

Fertility is one of the elements in population dynamics that makes a significant contribution towards changing population size and structure over time. In Ethiopia, for the last 10 years the total fertility rate (TFR) has declined slightly from 5.5 to 4.8 children in 2011. But, the TFR in urban areas has increased from 2.4 to 2.6 per 1000 live births. The Bongaarts model was applied to estimate the indices of the four main proximate determinants of fertility. Bongaarts defines the TFR of a population as a function of the total fecundity rate (TF), index of marriage (Cm), index of contraception (Cc), index of postpartum infecundability (Ci), and index of abortion (Ca); this can be written as TFR = Cm × Cc × Ci × Ca × TF. In 2005, the index of married women in urban areas was lower than rural, but it was unfortunately the same in urban and rural areas in 2011. For the last decade, the index of postpartum infecundability had a great fertility reduction effect compared with the contraception index and marriage index in rural Ethiopia. The lower the four indices of proximate determinants, the more fertility will be reduced. As such, the Ethiopian government, international non-governmental organizations and policy-makers must pay attention to increase the prevalence of contraceptive use and educate society to fight against child marriage. Permanent contraceptive use, such as female sterilization, should be promoted; moreover, legal organizations and the community must work together to raise the legal age of marriage to 18 years.IS

Podoconiosis and soil-transmitted helminths (STHs): double burden of neglected tropical diseases in Wolaita zone, rural southern Ethiopia

Background Both podoconiosis and soil-transmitted helminth (STH) infections occur among barefoot people in areas of extreme poverty; however, their co-morbidity has not previously been investigated. We explored the overlap of STH infection and podoconiosis in Southern Ethiopia and quantified their separate and combined effects on prevalent anemia and hemoglobin levels in podoconiosis patients and health controls from the same area. Methods and Principal Findings A two-part comparative cross-sectional study was conducted in Wolaita zone, southern Ethiopia. Data were collected from adult patients presenting with clinically confirmed podoconiosis, and unmatched adult neighborhood controls living in the same administrative area. Information on demographic and selected lifestyle factors was collected using interviewer-administered questionnaires. Stool samples were collected and examined qualitatively using the modified formalin-ether sedimentation method. Hemoglobin level was determined using two different methods: hemoglobinometer and automated hematology analyzer. A total of 913 study subjects (677 podoconiosis patients and 236 controls) participated. The prevalence of any STH infection was 47.6% among patients and 33.1% among controls (p<0.001). The prevalence of both hookworm and Trichuris trichiura infections was significantly higher in podoconiosis patients than in controls (AOR 1.74, 95% CI 1.25 to2.42, AOR 6.53, 95% CI 2.34 to 18.22, respectively). Not wearing shoes and being a farmer remained significant independent predictors of infection with any STH. There was a significant interaction between STH infection and podoconiosis on reduction of hemoglobin level (interaction p value = 0.002). Conclusions Prevalence of any STH and hookworm infection was higher among podoconiosis patients than among controls. A significant reduction in hemoglobin level was observed among podoconiosis patients co-infected with hookworm and ‘non-hookworm STH’. Promotion of consistent shoe-wearing practices may have double advantages in controlling both podoconiosis and hookworm infection in the study area

Insufficient referral practices of sick children in Ethiopia shown in a cross-sectional survey.

AIM: This study aimed at assessing the referral of sick young infants and children from the community, health posts and health centres to higher levels. METHODS: A cross-sectional survey was conducted in four of the largest Ethiopian regions from December 2016 to February 2017. Referral practices were assessed at each level in 46 districts of these regions. Interviews were supplemented by reviews of registers at health posts and health centres. RESULTS: The women's development group leaders, who do not provide health services, referred half of the sick children they visited in the community to the health posts. The health extension workers referred 16% of the sick young infants and 6% of older infants and children to higher levels. From health centres, the health workers referred 6% of sick young infants and 1% of older infants and children to hospital. Many cases of possible severe bacterial infection were not referred to higher levels. A functional ambulance was available for a bit more than a third of the health centres. CONCLUSION: Referral practices of sick young infants and children at all levels were weak that may threaten the continued reduction of child mortality in Ethiopia. Referral logistics were insufficient, which partly could explain the missing referrals of severely ill infants and children

Novel genetic parameters for genetic residual feed intake in dairy cattle using time series data from multiple parities and countries in North America and Europe.

Residual feed intake is viewed as an important trait in breeding programs that could be used to enhance genetic progress in feed efficiency. In particular, improving feed efficiency could improve both economic and environmental sustainability in the dairy cattle industry. However, data remain sparse, limiting the development of reliable genomic evaluations across lactation and parity for residual feed intake. Here, we estimated novel genetic parameters for genetic residual feed intake (gRFI) across the first, second, and third parity, using a random regression model. Research data on the measured feed intake, milk production, and body weight of 7,379 cows (271,080 records) from 6 countries in 2 continents were shared through the Horizon 2020 project GenTORE and Resilient Dairy Genome Project. The countries included Canada (1,053 cows with 47,130 weekly records), Denmark (1,045 cows with 72,760 weekly records), France (329 cows with 16,888 weekly records), Germany (938 cows with 32,614 weekly records), the Netherlands (2,051 cows with 57,830 weekly records), and United States (1,963 cows with 43,858 weekly records). Each trait had variance components estimated from first to third parity, using a random regression model across countries. Genetic residual feed intake was found to be heritable in all 3 parities, with first parity being predominant (range: 22-34%). Genetic residual feed intake was highly correlated across parities for mid- to late lactation; however, genetic correlation across parities was lower during early lactation, especially when comparing first and third parity. We estimated a genetic correlation of 0.77 ± 0.37 between North America and Europe for dry matter intake at first parity. Published literature on genetic correlations between high input countries/continents for dry matter intake support a high genetic correlation for dry matter intake. In conclusion, our results demonstrate the feasibility of estimating variance components for gRFI across parities, and the value of sharing data on scarce phenotypes across countries. These results can potentially be implemented in genetic evaluations for gRFI in dairy cattle

International Study of the Epidemiology of Paediatric Trauma : PAPSA Research Study

Objectives: Trauma is a significant cause of morbidity and mortality worldwide. The literature on paediatric trauma epidemiology in low- and middle-income countries (LMICs) is limited. This study aims to gather epidemiological data on paediatric trauma. Methods: This is a multicentre prospective cohort study of paediatric trauma admissions, over 1&nbsp;month, from 15 paediatric surgery centres in 11 countries. Epidemiology, mechanism of injury, injuries sustained, management, morbidity and mortality data were recorded. Statistical analysis compared LMICs and high-income countries (HICs). Results: There were 1377 paediatric trauma admissions over 31&nbsp;days; 1295 admissions across ten LMIC centres and 84 admissions across five HIC centres. Median number of admissions per centre was 15 in HICs and 43 in LMICs. Mean age was 7&nbsp;years, and 62% were boys. Common mechanisms included road traffic accidents (41%), falls (41%) and interpersonal violence (11%). Frequent injuries were lacerations, fractures, head injuries and burns. Intra-abdominal and intra-thoracic injuries accounted for 3 and 2% of injuries. The mechanisms and injuries sustained differed significantly between HICs and LMICs. Median length of stay was 1&nbsp;day and 19% required an operative intervention; this did not differ significantly between HICs and LMICs. No mortality and morbidity was reported from HICs. In LMICs, in-hospital morbidity was 4.0% and mortality was 0.8%. Conclusion: The spectrum of paediatric trauma varies significantly, with different injury mechanisms and patterns in LMICs. Healthcare structure, access to paediatric surgery and trauma prevention strategies may account for these differences. Trauma registries are needed in LMICs for future research and to inform local policy