BACKGROUND: In Ethiopia, despite the considerable improvement in immunization coverage, the burden of defaulting from immunization among children is still high with marked variation among regions. However, the geographical variation and contextual factors of defaulting from immunization were poorly understood. Hence, this study aimed to identify the spatial pattern and associated factors of defaulting from immunization. METHODS: An in-depth analysis of the 2016 Ethiopian Demographic and Health Survey (EDHS 2016) data was used. A total of 1638 children nested in 552 enumeration areas (EAs) were included in the analysis. Global Moran's I statistic and Bernoulli purely spatial scan statistics were employed to identify geographical patterns and detect spatial clusters of defaulting immunization, respectively. Multilevel logistic regression models were fitted to identify factors associated with defaulting immunization. A p value < 0.05 was used to identify significantly associated factors with defaulting of child immunization. RESULTS: A spatial heterogeneity of defaulting from immunization was observed (Global Moran's I = 0.386379, p value < 0.001), and four significant SaTScan clusters of areas with high defaulting from immunization were detected. The most likely primary SaTScan cluster was seen in the Somali region, and secondary clusters were detected in (Afar, South Nation Nationality of people (SNNP), Oromiya, Amhara, and Gambella) regions. In the final model of the multilevel analysis, individual and community level factors accounted for 56.4% of the variance in the odds of defaulting immunization. Children from mothers who had no formal education (AOR = 4.23; 95% CI: 117, 15.78), and children living in Afar, Oromiya, Somali, SNNP, Gambella, and Harari regions had higher odds of having defaulted immunization from community level. CONCLUSIONS A clustered pattern of areas with high default of immunization was observed in Ethiopia. Both the individual and community-level characteristics were statistically significant factors of defaulting immunization. Therefore, the Federal Ethiopian Ministry of Health should prioritize the areas with defaulting of immunization and consider the identified factors for immunization interventions.

Objective: To assess the prevalence and risk factors of smear positive pulmonary tuberculosis among Gondar town prisoners, North West Ethiopia. Methods: A cross sectional study was conducted from February to July, 2008 in Gondar Prison. Prisoners with cough duration of more than two weeks were involved in the study by giving three sputum samples and filling the questionnaires prepared for risk factor assessment. Acid fast staining technique was employed to detect the presence of the Mycobacterium tuberculosis bacilli in the sputum samples. Data was analyzed using SPSS version13 computer software and presented in table. Chi-square test was used to assess associations and a P-value less than 0.05 was taken as significant. Results: A total of 384 prisoners, 349 male and 35 females, with a mean age of 33.3 years were involved in the study. The prevalence of smear positive pulmonary tuberculosis among those prisoners with cough duration of more than two weeks was 8.59%. Only the length of imprisonment had a significant association (χ ²= 18.82, P-value<0.0001) with the prevalence of tuberculosis. Conclusions: This study indicated that tuberculosis among prisoners with cough duration of more than two weeks in Gondar prison is very high. Therefore Periodic screening of the prisoners and screening of newly introduced prisoners should be practiced so as to minimize the burden of tuberculosis in prisoners.

BACKGROUND: Failure to provide adequate sanitation services to all people is perhaps the greatest development failure. Globally, billions of people have no access to improved sanitation facilities. Though the link between sanitation and childhood morbidities is established globally, the evidence is limited in rural parts of Ethiopia. This survey was, therefore, designed to determine the prevalence of common childhood morbidities and to identify sanitation predictors in rural parts of northwest Ethiopia. METHODS: A re-census reconciliation, which is a cross-sectional design, was employed from October to December 2014. All households found in the research and demographic sites were included as study subjects. A questionnaire and an observational checklist were used to collect data. Households' sanitation performances, house type, illumination, household energy sources, water supply, and waste management were assessed. The occurrence of childhood morbidities was determined from the occurrence of one or more water, sanitation, and hygiene (WASH) preventable diseases. Multivariable binary logistic regression analysis was done to identify the association of sanitation factors with childhood morbidities on the basis of adjusted odds ratio (AOR) with 95% confidence interval (CI) and p value < 0.05. RESULTS: About 575 (7.00%) of under-five children had hygiene- and sanitation-related diseases. Gastrointestinal and respiratory health problems accounted for 287 (49.91%) and 288 (50.09%), respectively. Childhood morbidities among under-five children were associated with poor housing condition [AOR = 1.27, 95% CI = (1.04, 1.54)], dirty cooking energy sources [AOR = 1.52, 95% CI = (1.22, 1.89)], volume of water below 20 l/p/d [AOR = 1.95, 95% CI = (1.19, 3.18)], and narrow-mouthed water storage containers [AOR = 0.73, 95% CI = (0.56, 0.96)]. CONCLUSION A significant proportion of under-five children had childhood morbidities in the study area. Housing condition, cooking energy sources, volume of water collected, and type of water storage containers were factors associated with the occurrence of childhood morbidities. Enabling the community to have the access to a safe and continuous supply of water and proper disposal of wastes, including excreta, is necessary with particular emphasis to the rural communities and semi-urban areas to reduce the occurrence of childhood morbidities.
Child, Preschool ; Cross-Sectional Studies ; Ethiopia ; epidemiology ; Female ; Humans ; Infant ; Infant, Newborn ; Male ; Morbidity ; Prevalence ; Risk Factors ; Rural Population ; statistics & numerical data ; Sanitation ; statistics & numerical data