Socio-demographic, environmental and behavioural risk factors of diarrhoea among under-five children in rural Ethiopia: further analysis of the 2016 Ethiopian demographic and health survey

Enhancing quality water, good sanitation, and proper hygiene is the panacea to diarrhea control and the attainment of some related sustainable development goals: A review

Diarrhea is the second major source of ill health and pediatric death globally. It accounts for over 90% of loss of life in infants especially those below 5 years old in developing nations. Lack of quality water and good sanitation is the principal root of diarrhea. Poor nutritional status also increases the incidence of diarrhea. The United Nations Sustainable Development Goal (SDG) number 3 targets to put a stop to avoidable deaths among newborns and infants under 5 years old by the year 2030. Interestingly, SDG number 6 targets to ensure all-round and fair access to safe quality portable water, good sanitation, and proper hygiene for everyone by the year 2030. Unfortunately, South Asia and sub-Saharan African regions are centers of limited improved water and good sanitation facilities, thus explaining the increased morbidity and loss of life orchestrated by diarrhea in young children in these areas. Therefore, enhancing water quality, good sanitation, and proper hygiene is a pivotal interposition strategy to improve children's health and well-being and achieve SDG 3, especially in the fight against diarrhea. Due to the interrelated relationship between the SDGs, improving water quality, sanitation, and hygiene (SDG 6) appears to be the foundation for achieving other goals such as reducing malnutrition (SDG 2), eradicating poverty in children (SDG 1), building good working conditions (SDG 8), protecting the environment and climatic variations (SDG 13).

Predictive modeling and socioeconomic determinants of diarrhea in children under five in the Amhara Region, Ethiopia

Background

Diarrheal disease, characterized by high morbidity and mortality rates, continues to be a serious public health concern, especially in developing nations such as Ethiopia. The significant burden it imposes on these countries underscores the importance of identifying predictors of diarrhea. The use of machine learning techniques to identify significant predictors of diarrhea in children under the age of 5 in Ethiopia's Amhara Region is not well documented. Therefore, this study aimed to clarify these issues.

Methods

This study's data have been extracted from the Ethiopian Population and Health Survey. We have applied machine learning ensemble classifier models such as random forests, logistic regression, K-nearest neighbors, decision trees, support vector machines, gradient boosting, and naive Bayes models to predict the determinants of diarrhea in children under the age of 5 in Ethiopia. Finally, Shapley Additive exPlanation (SHAP) value analysis was performed to predict diarrhea.

Result

Among the seven models used, the random forest algorithm showed the highest accuracy in predicting diarrheal disease with an accuracy rate of 81.03% and an area under the curve of 86.50%. The following factors were investigated: families who had richest wealth status (log odd of -0.04), children without a history of Acute Respiratory Infections (ARIs) (log odd of -0.08), mothers who did not have a job (log odd of -0.04), children aged between 23 and 36 months (log odd of -0.03), mothers with higher education (log odds ratio of -0.03), urban dwellers (log odd of -0.01), families using electricity as cooking material (log odd of -0.12), children under 5 years of age living in the Amhara region of Ethiopia who did not show signs of wasting, children under 5 years of age who had not taken medications for intestinal parasites unlike their peers and who showed a significant association with diarrheal disease.

Conclusion

We recommend implementing programs to reduce the incidence of diarrhea in children under the age of 5 in the Amhara region. These programs should focus on removing socioeconomic barriers that impede mothers' access to wealth, a favorable work environment, cooking fuel, education, and healthcare for their children.

The nexus between household water insecurity, mother's handwashing practices, and diarrheal diseases among under-five children

This study aimed to examine the association between household water insecurity (HWIS), mother's handwashing practices, and childhood diarrhea in the peri-urban and informal settlements of Hosanna town. A community-based cross-sectional study involving 424 mothers was carried out in Hosanna town, and the data were collected using a pretested structured questionnaire, HWISE Scale, and an observational checklist. Bivariate and multivariable logistic regression models were used to analyze the data. The study revealed that the prevalence of HWIS and diarrhea among under-five children was 68.6% and 16%, respectively. Only 42.2% of the mothers had good handwashing practices. Good knowledge of handwashing, positive attitudes toward handwashing, household water security (HWS), and the presence of handwashing facilities were significantly associated with good handwashing practices. Children aged 6-11 months, HWIS, uncovered and wide-mouthed water storage containers, unsafe child's stool disposal practices, and hands not washed with soap after defecation, before preparing food, and feeding a child were significantly associated with the occurrence of diarrhea. The prevalence of diarrhea and HWIS was very high. The majority of the mothers had poor handwashing practices. Therefore, findings suggest interventions to improve HWS and mother's handwashing practices, which could reduce the risk of diarrheal diseases.

Comparative analysis of machine learning algorithms for predicting diarrhea among under-five children in Ethiopia: Evidence from 2016 EDHS

Background: Diarrhea is a major cause of mortality and morbidity in under-5 children globally, especially in developing countries like Ethiopia. Limited research has used machine learning to predict childhood diarrhea. This study aimed to compare the predictive performance of ML algorithms for diarrhea in under-5 children in Ethiopia. Methods: The study utilized a dataset of 9501 under-5 children from the Ethiopia Demographic and Health Survey 2016. Five ML algorithms were used to build and compare predictive models. The model performance was evaluated using various metrics in Python. Boruta feature selection was employed, and data balancing techniques such as under-sampling, over-sampling, adaptive synthetic sampling, and synthetic minority oversampling as well as hyper parameter tuning methods were explored. Association rule mining was conducted using the Apriori algorithm in R to determine relationships between independent and target variables. Results: 10.2% of children had diarrhea. The Random Forest model had the best performance with 93.2% accuracy, 98.4% sensitivity, 85.5% specificity, and 0.916 AUC. The top predictors were residence, wealth index, and child age, number of living children, deworming, wasting, mother's occupation, and education. Association rule mining identified the top 7 rules most associated with under-5 diarrhea in Ethiopia. Conclusion: The RF achieved the highest performance for predicting childhood diarrhea. Policymakers and healthcare providers can use these findings to develop targeted interventions to reduce diarrhea. Customizing strategies based on the identified association rules has the potential to improve child health and decrease the impact of diarrhea in Ethiopia.

Prevalence and predictors of diarrhea among children under five in Ghana

BACKGROUND

Globally, childhood diarrhea is a major public health concern. Despite numerous interventions that have been put in place to reduce its incidence over the years, childhood diarrhea remains a problem and is the fourth leading cause of child mortality in Ghana. This study examined the predictors of diarrhea among children under the age of five in Ghana.

METHODS

Data from the 2014 Ghana Demographic and Health survey, a cross-sectional survey, was used for the purpose of this study. A total of 2,547 children under the age of five were included in this study. Logistic regression analysis was performed to establish the factors associated with childhood diarrhea and ascertain explanatory variables.

RESULTS

The prevalence of diarrhea was 11.7%. Male children (13.4%) and those living in rural areas (12%), particularly in the Brong Ahafo region (17%) recorded the highest prevalence of diarrhea. Children aged 6 to 35 months of age, maternal age and education, sex of children and region of residence were the predictors of diarrhea among children under the age of five years in this study.

CONCLUSION

To lessen the prevalence of diarrhea among children under five in Ghana, existing interventions must be evaluated in the context of the predictors identified. Based on observations deduced from this study, the Ministry of Health, Ghana Health Service and other health regulatory agencies should intensify monitoring and awareness in the various regions, particularly in the transition and savannah zones on the causes, risk factors, and methods of preventing diarrhea in children under five. Various stakeholders including government and non-governmental organizations should take into account the predictors of diarrhea identified in the design of interventions to effectively reduce morbidity and mortality associated with childhood diarrhea.

Impact of access to improved water and sanitation on diarrhea reduction among rural under-five children in low and middle-income countries: a propensity score matched analysis

BACKGROUND

Diarrhea, the second leading cause of child morbidity and mortality worldwide, is responsible for more than 90% of deaths in children under 5 years of age in low and middle-income countries (LMICs). The high burden of diarrhea is mainly attributable to the limited access to improved water and sanitation. However, the impacts of improved sanitation and drinking water in preventing diarrheal diseases are not well understood. Therefore, this study estimated both the independent and joint effects of improved sanitation and water on diarrhea occurrence among rural under-five children in LMICs.

METHODS

The current study utilized secondary data from the Demographic and Health Survey (DHS) datasets conducted between 2016 and 2021 in 27 LMICs. A total weighted sample of 330,866 under-five children was included in the study. We employed propensity score matching analysis (PSMA) to examine the effects of accessing improved water and sanitation on childhood diarrheal disease reduction.

RESULTS

The prevalence of diarrhea among children under 5 years of age in rural LMICs was 11.02% (95% CI; 10.91%, 11.31%). The probability of developing diarrhea among under-five children from households with improved sanitation and water was 16.6% (Average Treatment Effect on the Treated (ATT) = - 0.166) and 7.4% (ATT = - 0.074) times less likely among those from households with unimproved sanitation and water, respectively. Access to improved water and sanitation is significantly associated with a 24.5% (ATT = - 0.245) reduction of diarrheal disease among under-five children.

CONCLUSIONS

Improved sanitation and drinking water source reduced the risk of diarrhea among under-five children in LMIC. The effects of both interventions (improved water and sanitation) had a larger impact on the reduction of diarrheal disease than the improvements to water or sanitation alone. Therefore, achieving Sustainable Development Goal 6 (SDG 6) is key to reducing diarrhea among rural under-five children.

Individual and community-level factors associated with under-five diarrhea in Bangladesh: Evidence from Demographic and Health Survey 2014

Background

Diarrheal disease is among the leading causes of morbidity and mortality among children younger than age 5 years in Bangladesh.

Objective

The objective of this study is to assess the prevalence of diarrhea among children younger than age 5 years and its associated risk factors.

Methods

Data were sourced from the Bangladesh Demographic and Health Survey, a nationally representative study conducted in 2014. We used multilevel logistic regression models to identify factors associated with diarrheal disease.

Results

Children aged 6 to11 months (odds ratio = 2.26; 95% CI, 1.50–3.42), and 12 to 23 months (odds ratio = 2.31; 95% CI, 1.62–3.31) were more likely to have diarrhea than older children. Other significant risk factors for diarrheal infection included households without access to drinking water (odds ratio = 1.39; 95% CI, 1.03–1.88) and mothers lacking mass media access (odds ratio = 1.32; 55% CI, 1.01–1.73).

Conclusions

Childhood diarrhea in Bangladesh was associated with individual- and community-level factors. The finding of this study suggests that diarrhea prevention programs in the country can effectively be delivered by targeting young children through expanding community-based education and increasing access to health information through mass media.

Prevalence of Diarrhea, Feeding Practice, and Associated Factors among Children under Five Years in Bereh District, Oromia, Ethiopia

Background

Diarrheal disease is a major public health problem among under-five children globally. In Ethiopia, it is the second cause of hospital admission and death among children under five years.

Objectives

To assess the prevalence of diarrhea, feeding practice, and associated factors among children under five years in Bereh District, Oromia Special Zone Surrounding Finfine, Ethiopia.

Methods

A community-based cross-sectional study was conducted among children less than 5 years old in Bereh District from May 15 to 29, 2021. A systematic random sampling technique was used to select a total of 455 study participants. Descriptive statistics were used to measure the prevalence of diarrhea as well as to summarize other study variables. A binary logistic regression model with an adjusted odds ratio and a 95% confidence interval (CI) was used to declare the associated factors with childhood diarrhea.

Results

The prevalence of diarrhea was 17.3% in the past 15 days preceding the study period. About 53.4% of the mothers/caregivers were engaged in poor child feeding practices. Age of children [AOR = 9.146, 95% CI (2.055, 40.707)], birth order [AOR = 0.137, 95% CI (0.057, 0.329)], total family size [AOR: 5.042, 95% CI (2.326, 10.931)], not EBF [AOR: 4.723, 95% CI (1.166, 19.134)], prepare child foods separately [AOR: 0.252, 95% CI (0.091, 0.701)], feeding child immediately after cooking, handwashing method, and source of drinking water were significantly associated with under-five diarrhea.

Conclusions

The prevalence of diarrhea among children under five is high. More than half of the participants were engaged in poor IYCF practice. Action targeting the factors associated with diarrhea should be taken to improve under-five child's health.

Determinants of diarrheal diseases among under five children in Jimma Geneti District, Oromia region, Ethiopia, 2020: a case-control study

BACKGROUND

Globally, in 2017, there were nearly 1.7 billion cases of childhood diarrheal diseases, and it is the second most important cause of morbidity and mortality among under-five children in low-income countries, including Ethiopia. Sanitary conditions, poor housing, an unsanitary environment, insufficient safe water supply, cohabitation with domestic animals that may carry human pathogens, and a lack of food storage facilities, in combination with socioeconomic and behavioral factors, are common causes of diarrhea disease and have had a significant impact on diarrhea incidence in the majority of developing countries.

METHODS

A community-based unmatched case-control study was conducted on 407 systematically sampled under-five children of Jimma Geneti District (135 with diarrhea and 272 without diarrhea) from May 01 to 30, 2020. Data was collected using an interview administered questionnaire and observational checklist adapted from the WHO/UNICEF core questionnaire and other related literature. Descriptive, bivariate, and multivariate binary logistic regression analyses were done by using SPSS version 20.0.

RESULT

Sociodemographic determinants such as being a child of 12-23 months of age (AOR 3.3, 95% CI 1.68-6.46; P < 0.05) and mothers'/caregivers' history of diarrheal diseases (AOR 7.38, 95% CI 3.12-17.44; P < 0.05) were significantly associated with diarrheal diseases among under-five children. Environmental and behavioral factors such as lack of a hand-washing facility near a latrine (AOR 5.22, 95% CI 3.94-26.49; P < 0.05), a lack of hand-washing practice at critical times (AOR 10.6, 95% CI 3.74-29.81; P < 0.05), improper domestic solid waste disposal (AOR 2.68, 95% CI 1.39-5.18; P < 0.05), and not being vaccinated against rotavirus (AOR 2.45, 95% CI 1.25-4.81; P < 0,05) were found important determinants of diarrheal diseases among under-five children.

CONCLUSION

The unavailability of a hand-washing facility nearby latrine, mothers'/caregivers' history of the last 2 weeks' diarrheal diseases, improper latrine utilization, lack of hand-washing practice at critical times, improper solid waste disposal practices, and rotavirus vaccination status were the determinants of diarrheal diseases among under-five children identified in this study. Thus, promoting the provision of continuous and modified health information programs for households on the importance of sanitation, personal hygiene, and vaccination against rotavirus is fundamental to decreasing the burden of diarrheal disease among under-five children.

Factors associated with childhood diarrheal in Ethiopia; a multilevel analysis

BACKGROUND

Diarrhea is the second cause of child deaths globally. According to World Health Organization reports, in each year it kills more than 525,000 children under-5 years. More than half of these deaths occur in five countries including Ethiopia. This study aimed to identify both individual and community-level risk factors of childhood diarrheal in Ethiopia.

METHODS

Ethiopian demography and health survey of 2016 data were used for the analysis. A total of 10,641 children aged 0-59 months were included in the analysis. A multi-level mixed-effect logistic regression model was used to identify both individual and community-level risk factors associated with childhood diarrheal.

RESULT

The incidence of childhood diarrheal was 12% (95%CI: 11.39, 12.63). The random effect model revealed that 67% of the variability of childhood diarrhea explained by individual and community level factors. From the individual-level factors, children aged 36-59 month (AOR = 3.166; 95% CI: 2.569, 3.900), twin child (AOR = 1.871; 95% CI: 1.390, 2.527), birth order 5 and above (AOR = 2.210, 95% CI: 1.721, 2.839), not received any vaccination (AOR = 1.197; 95% CI: 1.190,1.527), smaller size of child at birth (AOR = 1.303;95% CI: 1.130,1.504) and never breastfed children (AOR = 2.91;95%CI:2.380,3.567) associated with the higher incidence of childhood diarrhea. From the community-level factors, living in a rural area ((AOR = 1.505; 95%CI: 1.233, 1.836)), unprotected source of drinking water (AOR: 1.289; 95% CI: 1.060, 1.567) and availability of unimproved latrine facilities (OR: 1.289; 95% CI: 1.239, 1.759) associated with the higher incidence of childhood diarrhea. Besides, Children live in Afar, Amhara, Benishangul-Gumuz, Gambella, SNNPR and Dire Dawa regions had higher incidence of childhood diarrhea.

CONCLUSION

The incidence of childhood diarrhea was different from cluster to clusters in Ethiopia. Therefore, integrated child health intervention programs including provisions of toilet facility, access to a clean source of drinking water, educate parents about the importance of breastfeeding and vaccination have to be strongly implemented in order to reduce the high incidence of childhood diarrhea among children in Ethiopia.

Individual- and Community-Level Risk Factors Associated with Childhood Diarrhea in Ethiopia: A Multilevel Analysis of 2016 Ethiopia Demographic and Health Survey

BACKGROUND

Diarrhea is the second cause of child deaths globally. According to World Health Organization reports, in each year, it kills more than 525,000 children under 5 years. More than half of these deaths occur in five countries including Ethiopia. This study is aimed at identifying both individual- and community-level risk factors of childhood diarrhea in Ethiopia.

METHODS

Ethiopian demography and health survey of 2016 data were used for the analysis. A total of 10,641 children aged 0-59 months were included in the analysis. A multilevel mixed-effects logistic regression model was used to identify both individual- and community-level risk factors associated with childhood diarrhea.

RESULT

The incidence of childhood diarrhea was 12% (95% CI: 11.39, 12.63). The random-effects model revealed that 67% of the variability of childhood diarrhea was explained by individual- and community-level factors. From the individual-level factors, children aged 36-59 months (AOR = 3.166; 95% CI: 2.569, 3.900), twin child (AOR = 1.871; 95% CI: 1.390, 2.527), birth order 5 and above (AOR = 2.210, 95% CI: 1.721, 2.839), not received any vaccination (AOR = 1.197; 95% CI: 1.190, 1.527), smaller size of child at birth (AOR = 1.303; 95% CI: 1.130, 1.504), and never breastfed children (AOR = 2.91; 95% CI: 2.380, 3.567) associated with the higher incidence of childhood diarrhea. From the community-level factors, living in a rural area (AOR = 1.505; 95% CI: 1.233, 1.836)), unprotected source of drinking water (AOR = 1.289; 95% CI: 1.060, 1.567), and availability of unimproved latrine facilities (OR: 1.289; 95% CI: 1.239, 1.759) associated with the higher incidence of childhood diarrhea. Besides, children who live in Afar, Amhara, Benishangul-Gumuz, Gambella, SNNPR, and Dire Dawa regions had higher incidence of childhood diarrhea.

CONCLUSION

The incidence of childhood diarrhea was different from cluster to cluster in Ethiopia. Therefore, integrated child health intervention programs including provisions of toilet facility, access to a clean source of drinking water, educate parents about the importance of breastfeeding, and vaccination have to be strongly implemented in order to reduce the high incidence of childhood diarrhea among children in Ethiopia.