RESUMO
Background: Globally, each year, about 3 million deaths among children are prevented by pentavalent vaccinations. However, in developing countries, particularly in Sub-Saharan Africa, pentavalent vaccination dropout rates are not well reported. Therefore, this study aimed to assess pentavalent vaccination dropout rates and their determinants among under-five children in Sub-Saharan Africa. Methods: Data from the recent Demographic and Health Surveys in 33 Sub-Saharan African countries were used for analysis. The study used a total of 358,529 under-five children. The determinants of pentavalent vaccination dropout were determined using a multilevel mixed-effects logistic regression model. Significant factors associated with pentavalent vaccination dropout were declared significant at p-values < 0.05. A model with the lowest deviance and highest logliklihood ratio was selected as the best-fit model. Results: In Sub-Saharan Africa, one in five under-five children had pentavalent vaccination dropout rates. Factors such as Age (AOR = 1.61, 95 % CI: 1.51, 1.72), educational level (AOR = 1.30, 95 % CI: 1.22, 1.40), place of delivery (AOR = 1.65, 95 % CI: 1.57, 1.73), ANC visits (AOR = 1.34, 95 % CI: 1.23, 1.45), postnatal check-up (AOR = 1.19, 95 % CI: 1.14, 1.25), wealth status (AOR = 1.09, 95 % CI: 1.04, 1.15), distance to health facility (AOR = 1.08, 95 % CI: 1.03, 1.13), media exposure (AOR = 1.12, 95 % 1.15), and geographical region (AOR = 1.60, 95 % CI: 1.49, 1.72) had higher odds of pentavalent vaccination dropouts. Conclusions: Pentavalent vaccination dropout rates in sub-Saharan Africa among under-five children were high. Both individual and community-level variables were determinants of pentavalent vaccination dropout rates. Government and ministry of health in Sub-Saharan Africa should give attention to those mothers of under-five children who reported distance as a big problem in accessing health facilities and to women who do not utilise antenatal and postnatal check-ups while designing policies and strategies in sub-Saharan Africa.
RESUMO
BACKGROUND: Vaccination is the most important mechanism to improve childhood survival. However, immunization coverage is very low and unevenly distributed throughout the country. Therefore, this study was aimed to investigate the spatiotemporal distribution of immunization coverage in Ethiopia. METHOD: Immunization coverage data and geospatial covariates data were obtained from EDHS 2000 to 2019 and different publicly available sources. A Bayesian geostatistic model was used to estimate the national immunization coverage at a pixel level and to identify factors associated with the spatial clustering of immunization coverages. RESULT: The overall immunization coverage in Ethiopia was 38.7%, 36.55%, 51.8%, 67.1% and 66.9% for 2000, 2005, 2011, 2016 and 2019 respectively. Spatial clustering of low immunization coverage was observed in Eastern, Southern, Southwestern, Southeastern and Northeastern parts of Ethiopia in EDHSs. The altitude of the area was positively associated with immunization coverage in 2000, 2005 and 2019 EDHS. The population density was positively associated with immunization coverage in 2000, 2005, 2011 and 2016. Precipitation is also positively associated with immunization coverage in 2016. Moreover, mean annual temperature was positively associated with immunization coverage in 2000, 2005 and 2019 EDHSs. Travel time to the nearest city is negatively associated with immunization coverage in 2000, 2005, 2011 and 2016. Likewise, distance to health facilities was negatively associated with immunization coverage in all the five EDHSs. CONCLUSION: This study found that immunization coverage in Ethiopia substantially varied across the subnational and local levels. Spatial clustering of low immunization coverage was observed in Southern, Southeastern, Southwestern, Northeastern, and Eastern parts of the country. Altitude, population density, precipitation, temperature, travel time to the nearest city in minutes, and distance to the health facilities were factors that affect the spatial clustering of immunizations coverage. These findings can guide policymakers in Ethiopia to design geographically targeted interventions to increase programs to achieve maximum immunization coverage.
