Determinants for hesitancy in human papillomavirus (HPV) vaccine uptake among school girls in Jimma Town, Ethiopia. A mixed approach: quantitative and qualitative.

BACKGROUND: The human papillomavirus (HPV) vaccination helps the body fight off certain types of the virus. Despite being one of the top 10 health hazards in the world, vaccination hesitancy has received little attention in Ethiopia. In Jimma Town, Ethiopia, the current study aims to identify the variables that affect HPV vaccine resistance and evaluate HPV uptake resistance and related variables among female school students. METHODS: A mixed study of quantitative and qualitative data collection and analysis were considered. An institution-based cross-sectional study was conducted from December 2022 to June 2023. Following a thorough random sampling process, 373 respondents were selected using stratified sampling techniques. The necessary information was gathered using an in-depth interview, a structured questionnaire administered using Kobotoolbox tools, and an interviewer who had undergone training. Models of multivariable and bivariate logistic regression were both used. RESULT: A total of 369 respondents participated in the study and the response rate was 98.9%. The hesitancy of the HPV vaccine in Jimma Town female school students was 39.02%. Female students who have a mobile phone, (OR = 0.46, 95% CI (1.16, 45.89), mothers educational status ([Formula: see text] Secondary) (OR = 0.53, 95% CI (1.11, 2.44), older sister vaccinated (OR = 0.19, 95% CI (0.004, 0.42), previously vaccinated two doses of HPV (OR=0.64, 95% CI (0.006, 0.137), Confidence (worried in safety and efficacy of vaccine) (OR = 3.42, 95% CI (0.30, 0.87), Not Belief in rumors (HPV vaccine ruins girls fertility) (OR = 0.21, 95% CI (0.43, 0.96), and Complacency (Distrust in health care information ) (OR = 0.24, 95% CI (0.37, 0.94), were found to be statistically significant with HPV Vaccine Hesitancy. CONCLUSION: Due to widespread misinformation in the community, both schoolgirls and parents had high levels of hesitancy for the HPV vaccine in this study compared to a similar study. As a result, the HPV vaccine program, with the help of the appropriate health care professionals, should work hard to maximize community awareness in order to significantly increase the uptake of the HPV vaccine.

Multilevel Analysis of Determinants of Anemia Prevalence among Children Aged 6-59 Months in Ethiopia: Classical and Bayesian Approaches.

BACKGROUND: Anemia is a widely spread public health problem and affects individuals at all levels. However, there is a considerable regional variation in its distribution. OBJECTIVE: Thus, this study aimed to assess and model the determinants of prevalence of anemia among children aged 6-59 months in Ethiopia. DATA: Cross-sectional data from Ethiopian Demographic and Health Survey was used for the analysis. It was implemented by the Central Statistical Agency from 27 December 2010 through June 2011 and the sampling technique employed was multistage. METHOD: The statistical models that suit the hierarchical data such as variance components model, random intercept model, and random coefficients model were used to analyze the data. Likelihood and Bayesian approaches were used to estimate both fixed effects and random effects in multilevel analysis. RESULT: This study revealed that the prevalence of anemia among children aged between 6 and 59 months in the country was around 42.8%. The multilevel binary logistic regression analysis was performed to investigate the variation of predictor variables of the prevalence of anemia among children aged between 6 and 59 months. Accordingly, it has been identified that the number of children under five in the household, wealth index, age of children, mothers' current working status, education level, given iron pills, size of child at birth, and source of drinking water have a significant effect on prevalence of anemia. It is found that variances related to the random term were statistically significant implying that there is variation in prevalence of anemia across regions. From the methodological aspect, it was found that random intercept model is better compared to the other two models in fitting the data well. Bayesian analysis gave consistent estimates with the respective multilevel models and additional solutions as posterior distribution of the parameters. CONCLUSION: The current study confirmed that prevalence of anemia among children aged 6-59 months in Ethiopia was severe public health problem, where 42.8% of them are anemic. Thus, stakeholders should pay attention to all significant factors mentioned in the analysis of this study but wealth index/improving household income and availability of pure drinking water are the most influential factors that should be improved anyway.

Bayesian Gaussian regression analysis of malnutrition for children under five years of age in Ethiopia, EMDHS 2014.

BACKGROUND: The term malnutrition generally refers to both under-nutrition and over-nutrition, but this study uses the term to refer solely to a deficiency of nutrition. In Ethiopia, child malnutrition is one of the most serious public health problem and the highest in the world. The purpose of the present study was to identify the high risk factors of malnutrition and test different statistical models for childhood malnutrition and, thereafter weighing the preferable model through model comparison criteria. METHODS: Bayesian Gaussian regression model was used to analyze the effect of selected socioeconomic, demographic, health and environmental covariates on malnutrition under five years old child's. Inference was made using Bayesian approach based on Markov Chain Monte Carlo (MCMC) simulation techniques in BayesX. RESULTS: The study found that the variables such as sex of a child, preceding birth interval, age of the child, father's education level, source of water, mother's body mass index, head of household sex, mother's age at birth, wealth index, birth order, diarrhea, child's size at birth and duration of breast feeding showed significant effects on children's malnutrition in Ethiopia. The age of child, mother's age at birth and mother's body mass index could also be important factors with a non linear effect for the child's malnutrition in Ethiopia. CONCLUSIONS: Thus, the present study emphasizes a special care on variables such as sex of child, preceding birth interval, father's education level, source of water, sex of head of household, wealth index, birth order, diarrhea, child's size at birth, duration of breast feeding, age of child, mother's age at birth and mother's body mass index to combat childhood malnutrition in developing countries.