Background Vaccination is, without doubt, one of the most outstanding health interventions in reducing unprecedented damages of coronavirus disease (COVID-19). Globally, several vaccines have been produced to be effective against COVID-19. This survey aimed to assess the demand and intent towards the COVID-19 vaccine among the general population in Ethiopia. Also, factors influencing their demand, intention, and willingness to pay for the COVID-19 vaccine were described, which is poorly understood in resource-limited settings. Methods Subjects were 1160 individuals who completed an online questionnaire from February to March 2021. The study used the health belief model (HBM) to evaluate participants’ intention to receive and willingness to pay (WTP) regarding the COVID-19 vaccine. Chi-square and binary logistic regression were conducted to identify the prevalence and associated factors of demand and WTP. Multinomial regression was done to examine the intent to receive a vaccine. Results In total 1116 responses were collected. The results indicated a moderate level of demand and WTP among participants (64.7% and 56.0%, respectively). Further, the researchers examined participants’ readiness towards COVID-19 vaccination, where 46.6% of participants had a definite intent, and close to half of the participants are unsure (32.8%) or unwilling (20.7%) to get vaccinated. Among other factors, items under perceived susceptibility and perceived benefits constructs in the HBM have been associated with participants’ demand, willingness to vaccinate, and WTP. Conclusion This study demonstrates the usefulness of the HBM model in evaluating the demand, intention, and willingness of participants to pay for COVID-19. Improving public awareness of the vulnerability should be a major point of attention to reduce the barriers, and improve demand and intention for COVID-19. Moreover, public health messages should be tailored to enhance vaccine literacy.

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Introduction Dietary diversity has a significant impact on children’s nutritional health. For developing and implementing interventions, it is critical to understand the regional distribution of dietary diversity and underlying factors. However, the application of spatial techniques in dietary studies has not been well documented. The study’s goal was to look into the regional variances and factors that influence children’s dietary diversity. Further, we have discussed the spatial correlation of dietary diversity with nutritional status. Methods Data from the National Demographic and Health Survey were used during analyses. This work evaluated the overall dietary diversity of children aged 6–23 months based on the 2017 WHO and UNICEF classification of minimum dietary diversity (MDD). The Local Anselin Moran’s I was estimated to look into the regional variation of dietary diversity and hotspot and cold spot areas. Further, multivariate multilevel logistic regression was used for factor analyses. Results Overall, only 13.3% (95% CI: 10.2–14.7%) of children in 2011 and 24% (95% CI: 15.5–26.5%) in 2016 achieved MDD. We identified statistically significant clusters of high inadequate dietary diversity (hotspots) in the districts of northern Ethiopia, notably in the Amhara, Tigray, and Afar regions, and clusters of low inadequate dietary diversity (cold spots) in the country’s central and western regions. In both studies, the frequency of dietary diversity was significantly higher among older children, those who had media exposure, and mothers and fathers who had received formal education. Conclusion According to our findings, the MDD of children in Ethiopia, as measured by WHO dietary assessment, slightly increased from 2011 to 2016. The dietary diversity of children was distributed non-randomly in different districts across regions of Ethiopia. Localized intervention and preventative methods to improve dietary patterns and culture can be developed using existing socio-demographic factors and districts with a larger distribution of inadequate dietary diversity.

Background Optimal antenatal care (ANC4+) needs to be used throughout pregnancy to reduce pregnancy complications and maternal mortality. The World Health Organization (WHO) recommends eight ANC contacts, while Ethiopia has the lowest coverage of at least four ANC visits. Therefore, this study aimed to identify factors associated with optimal ANC visits among pregnant women in Ethiopia. Methods This study is a secondary data analysis of the 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). A multilevel logistic regression model is set up to identify factors associated with optimal ANC visits. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) were calculated to estimate the strength of the association between the outcome and the predictor variables. Results Overall, 43% of women had optimal ANC visits during their last pregnancy. Higher educated women are 3.99 times more likely (AOR = 3.99; 95% CI: 2.62–6.02) to have optimal ANC visits than women with no formal education. The wealthiest women are 2.09 times more likely (AOR = 2.09; 95% CI: 1.56–2.82) to have optimal ANC visits than women in the poorest quintile. The odds of optimal ANC visit is 42 percent lower in rural women (AOR = 0.58, 95% CI: 0.41–0.83) compared to women living in urban areas. Conclusion Women's educational status, wealth status, mass media exposure, place of residence and region are factors that are significantly associated with optimal ANC visit. These findings help health care programmers and policymakers to introduce appropriate policies and programs to ensure optimal ANC coverage. Priority should be given to addressing economic and educational interventions.

Background Caesarian section is a vital emergency obstetric intervention for saving the lives of mothers and newborns. However, factors which are responsible for caesarian section (CS) were not well established in the country level data. Therefore, this study aimed to assess the prevalence and associated factors of caesarian section in Ethiopia. Methods Data from the Ethiopian Mini Demographic and Health survey 2019 were used to identify factors associated with the caesarian section in Ethiopia. We applied multi-level logistic regression and a p-value of <0.25 to include variables before modeling and a p-value<0.05 with 95% confidence interval (CI) for final results. Result The prevalence of caesarian section in Ethiopia was 5.44% (95% CI; 0.048-0.06) in2019. Women in age group of 30-39 and 40-49 years had a higher odd of caesarian section (AOR = 2.14, 95%CI = 1.55-2.94) and (AOR = 2, 95%CI = 1.20-3.97) respectively compared to women in age group of 15-29 years. Women with secondary and higher educational level had higher odds of caesarian section (AOR = 2.15, 95%CI = 1.38-3.34) and (AOR = 2.8, 95%CI = 1.73-4.53) compared to those in no education category. Compared to Orthodox, Muslims and Protestant religions had lower odds of caesarian section with AOR of 0.50 (0.34-0.73) and 0.53 (0.34-0.85). Having <2 births was also associated with the low caesarian section 0.61(0.52-1.22). Using modern contraceptive methods, having ANC visits of 1-3, 4th, 5 plus, and urban residence were associated with higher odds of caesarian section as 1.4 (1.05-1.80]), 2.2 (1.51-3.12), 1.7 (1.12-2.46), and 2.4 (1.65-3.44) 1.6(1.04-2.57) respectively. Conclusion Although evidence indicates that the caesarian deliveries increased both in developed and underdeveloped countries, the current magnitude of this service was very low in Ethiopia which might indicate missing opportunities that might costing lives of mothers and newborns. Women’s age, religion, educational status, parity, contraceptive method, and ANC visit were individual level factors influenced caesarian section. whereas, region and place of residence were community level factors affected caesarian section in the country. Depending on these factors, the country needs policy decisions for further national level interventions.