Trends, prevalence, and determinants of unfavorable tuberculosis treatment outcomes among adult patients in Northeast Ethiopia: The race to achieve a 90 % treatment success rate by 2025

Global Epidemiology, Journal Year: 2025, Volume and Issue: 9, P. 100189 - 100189

Published: Feb. 15, 2025

Language: Английский

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Prevalence of Delayed Initiation of Breastfeeding and Its Associated Factors Among Mothers Who Gave Birth by Cesarean Section in Gamo and Gofa Zones, Southern Ethiopia: A Multicenter Cross‐Sectional Study

Journal of Nutrition and Metabolism, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Background: Delayed initiation of breastfeeding after birth can negatively impact maternal and newborn health, significantly increasing neonatal mortality. Due to the rising number cesarean deliveries, risk delayed is imminent. However, there limited evidence on among mothers who gave by section in Ethiopia. Thus, this study aims assess factors associated with public health facilities Gamo Gofa zones, south Methods: This multicenter, facility-based, cross-sectional was conducted across five hospitals zones that offer delivery services. A consecutive sampling technique, which involves selecting every eligible subject until desired sample size reached, employed include 416 underwent sections between March 20 May 21, 2023. Data collection performed through an interviewer-administered questionnaire chart reviews. The collected data were entered into Epi-Data Version 4.6 subsequently exported Statistical Package for Social Sciences (SPSS) 26 analysis. To identify breastfeeding, a logistic regression model fitted, statistical significance determined at p value less than 0.05. Results: prevalence breast feeding 53.4% 95% CI: (48.5, 58.2). Being primiparous (AOR = 1.9, 1.1, 3.5), lack assistance from professional early 5.1, 3.0, 8.6), not applying skin-to-skin contact 3.3, 1.7, 6.4), receiving postcesarean counseling about 2.0, 1.6, 3.8) breastfeeding. Conclusions: found high had sections, significant including primiparity, assistance, absence contact, inadequate counseling. address this, targeted interventions are essential, enhancing antenatal care services, providing comprehensive counseling, promoting immediate ensuring support postdelivery.

Language: Английский

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Data-driven machine learning algorithm model for pneumonia prediction and determinant factor stratification among children aged 6–23 months in Ethiopia

BMC Infectious Diseases, Journal Year: 2025, Volume and Issue: 25(1)

Published: May 2, 2025

Pneumonia is the leading cause of child morbidity and mortality accounts for 5.6 million under-five deaths. has a significant impact on quality life, country's economy, survival children. Therefore, this study aimed to develop data-driven predictive model using machine learning algorithms predict pneumonia stratify determinant factors among children aged 6-23 months in Ethiopia. A total 2035 samples were used from 2016 Ethiopian Demographic Health Survey dataset. Jupyter Notebook Anaconda Navigators was data management analysis. Important libraries such as Pandas, Seaborn, Numpy imported Python. The pre-processed into training testing dataset with 4:1 ratio, tenfold cross-validation reduce bias enhance models' performance. Six building comparison, confusion matrix elements evaluate performance each algorithm. Principal component analysis heatmap function correlation detection between features. Feature importance score identify most important predictors pneumonia. From samples, 16.6%, 20.1%, 24.2% had short rapid breath, fever, cough respectively. overall magnitude 31.3% based EDHS report. random forest algorithm relatively best its determinates 91.3% accuracy. health facility visits, sex, initiation breastfeeding, birth interval, weight, husbands' education, women's age, region, are top eight scores more than 5% 20% Random factors. implications profound advanced research methodology, tailored promote effective interventions lifestyle modification behavioral intervention, individuals' unique features, specifically stakeholders take proactive childcare interventions. would serve pioneering evidence future research, researchers recommended use deep prediction

Language: Английский

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Prediction of delayed breastfeeding initiation among mothers having children less than 2 months of age in East Africa: application of machine learning algorithms

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: Sept. 2, 2024

Background Delayed breastfeeding initiation is a significant public health concern, and reducing the proportion of delayed in East Africa key strategy for lowering Child Mortality rate. However, there limited evidence on this issue assessed using advanced models. Therefore, study aimed to assess prediction associated factors among women with less than 2 months child machine learning approach. Methods A community-based, cross-sectional was conducted most recent Demographic Health Survey (DHS) dataset covering years 2011 2021. Using statistical software (Python version 3.11), nine supervised algorithms were applied weighted sample 31,640 performance measures. To pinpoint predict Africa, also employed widely used outlines Yufeng Guo’s steps learning. Results The pooled prevalence 31.33% 95% CI (24.16–38.49). highest Comoros low Burundi. Among algorithms, random forest model fitted study. association rule mining result revealed that home delivery, delivered by cesarean section, poor wealth status, access media outlets, aged between 35 49 years, who had distance problems accessing facilities Africa. Conclusion high. findings highlight multifaceted nature practices need consider socioeconomic, healthcare, demographic variables when addressing timelines region. Policymakers stakeholders pay attention we recommend targeted interventions improve healthcare accessibility, enhance outreach, support lower socioeconomic status. These measures can encourage timely address identified contributing delays across

Language: Английский

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Evaluation of Exclusive Breastfeeding Practices among Mothers of Children Aged 0 to 59 Months in the Rural Commune of Sinder, Tillabery, Niger

European Journal of Nutrition & Food Safety, Journal Year: 2024, Volume and Issue: 16(7), P. 151 - 170

Published: June 15, 2024

Feeding practices play a major role in the nutritional status of children (WHO/UNICEF, 2009). The objective this study was to evaluate practice exclusive breastfeeding among mothers aged 0 59 months rural commune Sinder. This is cross-sectional descriptive study, which involved representative and random sample months. A questionnaire completed through structured interview. data were collected with ODK software then analyzed SPSS Epi Info version 7.2 software. total 250 mother/child couples enrolled. About 58% newborns receive breast milk as their first food 42% received pre-lacteal fluids. majority are put early, including 55.2% immediately after birth 34.4% within next 24 hours, but 10.4% wait more than hours. 66.4% say they have been made aware EBF by health workers 33.6% those close mother. Around 37% do not believe benefits EBF. Only 44% infants up 6 average duration 4.4± 2.77 Among receiving other foods addition before sixth month, 56% water, 32.8% herbal decoction, 45.6% take family meals, 50.4% drink porridge. Sinder suboptimal.

Language: Английский

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