Factors Influencing Children’s Full Immunization in Ethiopia

Child morbidity and mortality in Ethiopia is mainly due to vaccine preventable diseases. Although numerous interventions have been made since the 1980’s to increase vaccination coverage, the level of full immunization is low in the country. This study examines factors influencing children’s full immunization based on data on 1927 children aged 12-23 months extracted from the 2011 Ethiopian Demographic and Health Survey. Multinomial logistic regression model was fitted to identify predictors of full immunization. The result shows that only 24.3% of the children were fully immunized. There was significant difference between regions in immunization coverage in which Tigray, Dire Dawa, and Addis Ababa performed well. In Oromia, Afar, Somali, Benishangul-Gumuz, and Gambela regions, the likelihood of children’s full immunization was significantly lower. Children born to mothers living in households with better socio-economic status, with frequent access to media, and who visit health facilities for antenatal care were more likely to be fully immunized. The results imply the importance of narrowing regional differences, improving women’s socio-economic status and utilization of antenatal care services, and strengthening culture-sensitive media campaign as a means of achieving full immunization of all children

ASSESSING THE DETERMINANTS OF TISSUE CULTURE BANANA ADOPTION IN WESTERN KENYA

In this study cross-section data was used to analyze the effect of farmers’ demographic, socioeconomic and institutional setting, market access and physical attributes on the probability and intensity of tissue culture banana (TCB) adoption. The study was carried out between July 2011 and November 2011. Both descriptive (mean, variance, promotions) and regression analysis were used in the analysis. A double hurdle regression model was fitted on the data. Using multistage sampling technique, four counties and eight sub-locations were randomly selected. Using random sampling technique, three hundred and thirty farmers were selected from a list of banana households in the selected sub-locations. The adoption level of tissue culture banana (TCB) was about 32%. The results also revealed that the likelihood of TCB adoption was significantly influenced by: availability of TCB planting material, proportion of banana income to the total farm income, per capita household expenditure and the location of the farmer in Kisii County; while those that significantly influenced the intensity of TCB adoption were: occupation of farmers, family size, labour source, farm size, soil fertility, availability/access of TCB plantlets to farmers, distance to banana market, use of manure in planting banana, access to agricultural extension services and index of TCB/non-TCB banana cultivar attributes which were scored by farmers. Compared to West Pokot County, farmers located in Bungoma County are more significantly and likely to adopt TCB technology. Therefore, the results of the study suggest that the probability of adoption and intensity of the use of TCB should be enhanced. This can be done by taking cognizance of these variables in order to meet the priority needs of the smallholder farmers who were the target group. This would lead to alleviating banana shortage in the region for enhanced food security. Subsequently, actors along the banana value chain are encouraged to target the intervention strategies based on the identified farmer, farm and institutional characteristics for enhanced impact on food provision. Opening up more TCB multiplication centres in different regions will make farmers access the TCB technology for enhanced impact on the target population.