Risk factors of acute respiratory infections among under five children attending public hospitals in southern Tigray, Ethiopia, 2016/2017

Determinants of community-acquired pneumonia among under-five children in Awi Zone, Northwest Ethiopia

Background

Globally, community-acquired pneumonia is the leading cause of death in under-five children, accounting for 7.6 million deaths. Among these deaths, approximately 99% occur in low and middle-income countries. The present study aimed to assess the magnitude of community-acquired pneumonia and its associated factors among under-five children in Awi Zone.

Methods

A community cross-sectional study was conducted on 1,368 participants from March to July 2023. A multistage sampling method was used. Data were entered into Epi-Data and exported to STATA for analysis. Bivariable and multivariable logistic regressions were used. Variables with a p-value of < 0.05 were considered statistically significant.

Results

The percentage of community-acquired pneumonia among under-five children was 11.33% (95% CI: 9.75-13.12%). Primary education [AOR = 0.38; 95% CI:0.15, 0.95], stunting [AOR = 4.80; 95% CI: 2.31, 9.94], diarrhea [AOR = 3.75; 95% CI: 1.96, 7.18], acute lower respiratory tract infection [AOR = 14.57, 95% CI: 3.18, 66.78], acute upper respiratory tract infection [AOR = 9.06; 95% CI: 2.03, 40.42], and presence of separate kitchen [AOR = 0.38, 95% CI: 0.20, 0.72] were associated with community-acquired pneumonia.

Conclusion

In this study, the percentage of community-acquired pneumonia was relatively high. Hence, we recommend adequate health education in areas such as nutritional intervention, the prevention and early treatment of diarrhea and acute respiratory tract infections (ARTI), and preventing indoor air pollution to reduce the risk of community-acquired pneumonia.

Understanding the demographic and socioeconomic determinants of morbidity in Eastern Uganda: a retrospective analysis of the Iganga-Mayuge health and demographic surveillance data

Introduction

Understanding the determinants of disease burden is imperative in enhancing population health outcomes. This study uses data from the Iganga-Mayuge Health and Demographic Surveillance Site, to understand demographic and socioeconomic factors influencing morbidity.

Methods

We analysed secondary data from 2018 to 2023. We employed graphs and tables to present morbidity patterns across different sociodemographic factors and applied mixed-effects multinomial multivariate logistic regression model to understand the correlates of morbidity.

Results

The findings reveal a predominant prevalence of malaria, lower respiratory tract infections, coryza, gastric acid-related and urinary tract infections, collectively constituting 83% of diagnosed diseases. Noteworthy demographic variations, particularly gender and age, significantly impact disease distribution, revealing higher diagnosis rates among females. Additionally, socioeconomic factors, including education and wealth status, contribute to discernible differences in disease burden.

Conclusion

This research provides crucial insights into the implications of demographic and socioeconomic factors on disease burden in Uganda. The results contribute to evidence-based policy-making, highlighting the necessity for targeted interventions addressing specific health challenges encountered by diverse populations. The study advocates for continuous assessment of the epidemiological landscape to inform more tailored and effective health strategies, ultimately enhancing resilience in disease control efforts.

Prediction of acute respiratory infections using machine learning techniques in Amhara Region, Ethiopia

Many studies have shown that infectious diseases are responsible for the majority of deaths in children under five. Among these children, Acute Respiratory Infections is the most prevalent illness and cause of death worldwide. Acute respiratory infections continue to be the leading cause of death in developing countries, including Ethiopia. In order to predict the main factors contributing to acute respiratory infections in the Amhara regional state of Ethiopia, a machine learning technique was employed. This study utilized data from the 2016 Ethiopian Demographic and Health Survey. Seven machine learning models, including logistic regression, random forests, decision trees, Gradient Boosting, support vector machines, Naïve Bayes, and K-nearest neighbors, were employed to forecast the factors influencing acute respiratory infections. The accuracy of each model was assessed using receiver operating characteristic curves and various metrics. Among the seven models used, the Random Forest algorithm demonstrated the highest accuracy in predicting acute respiratory infections, with an accuracy rate of 90.35% and Area under the Curve of 94.80%. This was followed by the Decision Tree model with an accuracy rate of 88.69%, K-nearest neighbors with 86.35%, and Gradient Boosting with 82.69%. The Random Forest algorithm also exhibited positive and negative predictive values of 92.22% and 88.83%, respectively. Several factors were identified as significantly associated with ARI among children under five in the Amhara regional state, Ethiopia. These factors, included families with a poorer wealth status (log odds of 0.18) compared to their counterparts, families with four to six children (log odds of 0.1) compared to families with fewer than three living children, children without a history of diarrhea (log odds of -0.08), mothers who had occupation(log odds of 0.06) compared mothers who didn't have occupation, children under six months of age (log odds of -0.05) compared to children older than six months, mothers with no education (log odds of 0.04) compared to mothers with primary education or higher, rural residents (log odds of 0.03) compared to non-rural residents, families using wood as a cooking material (log odds of 0.03) compared to those using electricity. Through Shapley Additive exPlanations value analysis on the Random Forest algorithm, we have identified significant risk factors for acute respiratory infections among children in the Amhara regional state of Ethiopia. The study found that the family's wealth index, the number of children in the household, the mother's occupation, the mother's educational level, the type of residence, and the fuel type used for cooking were all associated with acute respiratory infections. Additionally, the research emphasized the importance of children being free from diarrhea and living in households with fewer children as essential factors for improving children's health outcomes in the Amhara regional state, Ethiopia.

Effects of the Local Environment and Nutritional Status on the Incidence of Acute Respiratory Infections Among Children Under 5 Years Old in Indonesia

OBJECTIVES

This study aimed to map the incidence of acute respiratory infections (ARIs) among under-5 children in Indonesia, address the triple burden of malnutrition, and analyze the impact of malnutrition on ARIs, taking into account the environmental and wealth disparities in Indonesia.

METHODS

This study utilized an ecological design, analyzing aggregate data from the Indonesia Nutrition Survey, 2022. It encompassed 33 provinces and 486 districts/cities, involving a total of 334 878 children under 5 years of age. Partial least squares structural equation modeling was employed to investigate the relationships among wealth, environment, malnutrition (stunting, wasting, and underweight), and ARIs.

RESULTS

The proportion of ARI cases in Indonesia was generally concentrated in central Sumatra, the western and eastern parts of Java, and eastern Papua. In contrast, the northern part of Sumatra, central Kalimantan, central Sulawesi, and central Papua had a higher proportion of malnutrition cases compared to other regions. Negative associations were found between malnutrition and ARIs (path coefficient =-0.072; p<0.01) and between wealth and environment (path coefficient =-0.633; p<0.001), malnutrition (path coefficient=-0.399; p<0.001), and ARIs (path coefficient=-0.918; p<0.001).

CONCLUSIONS

An increasing wealth index is expected to contribute to reducing ARIs, malnutrition and environmental burdens in the future. This study emphasizes the necessity for focused strategies that address both immediate health challenges and the underlying socioeconomic determinants to improve child health outcomes in the Indonesian context.

The association between anti-smoking legislation and prevalence of acute respiratory illnesses in Indian children

Objective

Exposure to tobacco smoke causes numerous health problems in children, and create burden on the population in terms of economy, morbidity and mortality. In order to protect the child from exposure to tobacco smoke in the outdoor environment, sufficient legislative enactments are available in Indian legislation. The objective of the present study is to investigate the fact that in absence of any specific laws stating about protection of children from exposure to tobacco smoke in indoor environment, whether outdoor related legislations are sufficient to protect children from exposureand to explore the scope for enforcement of both state and central laws in improving health of children in India.

Study design

The study considered cross-sectional survey data of Demographic and Health Survey Data on India, National Family and Health Survey fourth round (NFHS-4) for the year 2015-16 on Indian children (below age of four).

Methods

Both bivariate and multivariate logistic regression models were used to assess the impact of anti-smoking laws on the prevalence of acute respiratory infection (ARI) based on the place of residence, indoor tobacco smoke exposure and age of the child.

Results

The results have shown an inclination of ARI among children in association with states having single law, rural area resident, exposure to indoor tobacco smoke and age of the child, both as independent or in combination are quite conspicuous, and are found to be underestimated. The logistic regression also revealed the influence of these factors both as independent and even in interaction with other.

Conclusions

Legislative intervention through both at central (or national)and state levels through anti-smoking laws will decrease the indoor tobacco smoke exposure as a result ARI prevalence will also decrease among children in India.

Empowering child health: Harnessing machine learning to predict acute respiratory infections in Ethiopian under-fives using demographic and health survey insights

BACKGROUND

A dearth of studies showed that infectious diseases cause the majority of deaths among under-five children. Worldwide, Acute Respiratory Infection (ARI) continues to be the second most frequent cause of illness and mortality among children under the age of five. The paramount disease burden in developing nations, including Ethiopia, is still ARI.

OBJECTIVE

This study aims to determine the magnitude and predictors of ARI among under-five children in Ethiopia using used state of the art machine learning algorithms.

METHODS

Data for this study were derived from the 2016 Ethiopian Demographic and Health Survey. To predict the determinants of acute respiratory infections, we performed several experiments on ten machine learning algorithms (random forests, decision trees, support vector machines, Naïve Bayes, and K-nearest neighbors, Lasso regression, GBoost, XGboost), including one classic logistic regression model and an ensemble of the best performing models. The prediction ability of each machine-learning model was assessed using receiver operating characteristic curves, precision-recall curves, and classification metrics.

RESULTS

The total ARI prevalence rate among 9501 under-five children in Ethiopia was 7.2%, according to the findings of the study. The overall performance of the ensemble model of SVM, GBoost, and XGBoost showed an improved performance in classifying ARI cases with an accuracy of 86%, a sensitivity of 84.6%, and an AUC-ROC of 0.87. The highest performing predictive model (the ensemble model) showed that the child's age, history of diarrhea, wealth index, type of toilet, mother's educational level, number of living children, mother's occupation, and type of fuel they used were an important predicting factor for acute respiratory infection among under-five children.

CONCLUSION

The intricate web of factors contributing to ARI among under-five children was identified using an advanced machine learning algorithm. The child's age, history of diarrhea, wealth index, and type of toilet were among the top factors identified using the ensemble model that registered a performance of 86% accuracy. This study stands as a testament to the potential of advanced data-driven methodologies in unraveling the complexities of ARI in low-income settings.

Advancing pathogen genomics in resource-limited settings

Genomic sequencing has emerged as a powerful tool to enhance early pathogen detection and characterization with implications for public health and clinical decision making. Although widely available in developed countries, the application of pathogen genomics among low-resource, high-disease burden settings remains at an early stage. In these contexts, tailored approaches for integrating pathogen genomics within infectious disease control programs will be essential to optimize cost efficiency and public health impact. We propose a framework for embedding pathogen genomics within national surveillance plans across a spectrum of surveillance and laboratory capacities. We adopt a public health approach to genomics and examine its application to high-priority diseases relevant in resource-limited settings. For each grouping, we assess the value proposition for genomics to inform public health and clinical decision-making, alongside its contribution toward research and development of novel diagnostics, therapeutics, and vaccines.

Prevalence and predictors of acute respiratory infection among children under-five years in Tigray regional state, northern Ethiopia: a cross sectional study

BACKGROUND

Acute respiratory infection is still one of the leading causes of child morbidity and mortality worldwide. Developing countries, especially in Sub-Saharan Africa including Ethiopia continue to share an overburden of this infection. Studies showed that different predictor factors were associated with the occurrence of childhood acute respiratory infection. Therefore, the main aim of this study was to assess the prevalence and associated predictor factors of acute respiratory infection among children under-five years in the Tigray Regional State, northern Ethiopia.

METHODS

A retrospective cross-sectional study design was done from January 18, 2016, to June 27, 2016. A total of 986 children under-five years were selected for this study. The logistic regression model analysis was employed to examine the predictor factors of childhood acute respiratory infection. Both bi-variable and multivariable data analysis was performed using STATA version 14.0.

RESULTS

Overall, the study showed that the two weeks prevalence of acute respiratory infection among children under-five years was 16.10% [95%CI: 13.80-18.40]. According to the multivariable logistic regression model analysis, children aged (24-60) months (AOR: 0.59, 95%CI: 0.352-0.98), rich wealth index of households (AOR: 0.60, 95%CI: 0.378-0.959), diarrhea status of children (AOR: 3, 95%CI: 1.97-4.73), and mothers smoking cigarettes (AOR: 4, 95%CI: 1.15-16.50), were significant predictors of acute respiratory infection.

CONCLUSION

The prevalence of ARI displays that Tigray regional state was experiencing a higher ARI rate than the national level. The current study identified the low wealth index of households, children aged (24-60 months), mothers smoking cigarettes, and diarrhea status of the children as crucial predictor factors for ARI. Interventions should be improved to these modifiable major predictor factors that significantly decrease the ARI problem among under-five children.

Acute lower respiratory infections among children under five in Sub-Saharan Africa: a scoping review of prevalence and risk factors

BACKGROUND

Acute lower respiratory tract infections (ALRTIs) among children under five are still the leading cause of mortality among this group of children in low and middle-income countries (LMICs), especially countries in sub-Saharan Africa (SSA). This scoping review aims to map evidence on prevalence and risk factors associated with ALRTIs among children under 5 years to inform interventions, policies and future studies.

METHODS

A thorough search was conducted via four main databases (PubMed, JSTOR, Web of Science and Central). In all, 3,329 records were identified, and 107 full-text studies were considered for evaluation after vigorous screening and removing duplicates, of which 43 were included in this scoping review.

FINDINGS

Findings indicate a high prevalence (between 1.9% to 60.2%) of ALRTIs among children under five in SSA. Poor education, poverty, malnutrition, exposure to second-hand smoke, poor ventilation, HIV, traditional cooking stoves, unclean fuel usage, poor sanitation facilities and unclean drinking water make children under five more vulnerable to ALRTIs in SSA. Also, health promotion strategies like health education have doubled the health-seeking behaviours of mothers of children under 5 years against ALRTIs.

CONCLUSION

ALRTIs among children under five still present a significant disease burden in SSA. Therefore, there is a need for intersectoral collaboration to reduce the burden of ALRTIs among children under five by strengthening poverty alleviation strategies, improving living conditions, optimising child nutrition, and ensuring that all children have access to clean water. There is also the need for high-quality studies where confounding variables in ALRTIs are controlled.

Spatial patterns and spatially-varying factors associated with childhood acute respiratory infection: data from Ethiopian demographic and health surveys (2005, 2011, and 2016)

BACKGROUND

In Ethiopia, acute respiratory infections (ARIs) are a leading cause of morbidity and mortality among children under five years. Geographically linked data analysis using nationally representative data is crucial to map spatial patterns of ARIs and identify spatially-varying factors of ARI. Therefore, this study aimed to investigate spatial patterns and spatially-varying factors of ARI in Ethiopia.

METHODS

Secondary data from the Ethiopian Demographic Health Survey (EDHS) of 2005, 2011, and 2016 were used. Kuldorff's spatial scan statistic using the Bernoulli model was used to identify spatial clusters with high or low ARI. Hot spot analysis was conducted using Getis-OrdGi statistics. Eigenvector spatial filtering regression model was carried out to identify spatial predictors of ARI.

RESULTS

Acute respiratory infection spatially clustered in 2011 and 2016 surveys year (Moran's I:-0.011621-0.334486). The magnitude of ARI decreased from 12.6% (95%, CI: 0.113-0.138) in 2005 to 6.6% (95% CI: 0.055-0.077) in 2016. Across the three surveys, clusters with a high prevalence of ARI were observed in the North part of Ethiopia. The spatial regression analysis revealed that the spatial patterns of ARI was significantly associated with using biomass fuel for cooking and children not initiating breastfeeding within 1-hour of birth. This correlation is strong in the Northern and some areas in the Western part of the country.

CONCLUSION

Overall there has been a considerable decrease in ARI, but this decline in ARI varied in some regions and districts between surveys. Biomass fuel and early initiation of breastfeeding were independent predictors of ARI. There is a need to prioritize children living in regions and districts with high ARI.

Vitamin D3 in acute respiratory infections in patients under five years old (Cartagena de Indias, Colombia)

Background and Aim. Low serum levels of 25-hydroxyvitamin D3 are associated with an increased risk of Acute Respiratory Infection (ARI) that is among the most important causes of morbidity and mortality in children under 5 years old. We describe the clinical behavior of acute respiratory infections in patients under five years ago in one sanitary institution in Colombia after VD3 supplementation. Material and Methods. A case series was conducted on 38 patients of both genders aged less to 5 years ago was included. Participants were supplied 50,000 units of VD3 orally each month for three months. The number of events, consultations for emergency services, and hospitalization due to acute respiratory infections (ARIs) before and after VD3 administration were described. Results. The average age of the participants was 25.81 ± 17.50 months. The average clinical ARIs per month was 4.02 (95% CI 3.64-4.40) before VD3 administration. Fewer episodes at the end of the three cycles was found at 2.23/month (95% CI 1.81-2.65; p=0.0230). The average consultations for emergency services during the three months before VD3 administration was 2.15 (95% CI 1.77-2.53). After three months of treatment, the average use of emergency services decreased to 0.52 (95% CI 0.37-0.72; p=0.0180). After the administration of the three doses of VD3, only one patient required hospitalization (2.63%; : 0.026 (IC95% 0.02-0.03; p=0.0368)). Conclusions. The administration of vitamin D3 could have a benefit in decreasing the number of episodes, emergencies, and hospitalization for ARI in children under five years old. Trial studies are required to determine this potential benefit.

Analysis of risk factors associated with acute respiratory infections among under-five children in Uganda

Background

Globally, infectious diseases are the major cause of death in children under the age of 5 years. Sub-Saharan Africa and South Asia account for 95% of global child mortalities every year, where acute respiratory infections (ARI) remain the leading cause of child morbidity and mortality. The aim of this study is to analyze the risk factors of ARI disease symptoms among children under the age of 5 years in Uganda.

Methods

A cross-sectional design was used to analyze 2016 Uganda Demographic and Health Survey (UDHS) data collected on 13,493 children under the age of 5 years in Uganda. Various methods, such as logistic regression, elastic net logistic regression, decision tree, and random forest, were compared and used to predict 75% of the symptom outcomes of ARI disease. Well-performing methods were used to determine potential risk factors for ARI disease symptoms among children under the age of 5 years.

Results

In Uganda, about 40.3% of children were reported to have ARI disease symptoms in the 2 weeks preceding the survey. Children under the age of 24 months were found to have a high prevalence of ARI disease symptoms. By considering 75% of the sample, the random forest was found to be a well-performing method (accuracy = 88.7%; AUC = 0.951) compared to the logistic regression method (accuracy = 62.0%; AUC = 0.638) and other methods in predicting childhood ARI symptoms. In addition, one-year old children (OR: 1.27; 95% CI: 1.12–1.44), children whose mothers were teenagers (OR: 1.28; 95% CI: 1.06–1.53), and farm workers (1.25; 95% CI: 1.11–1.42) were most likely to have ARI disease symptoms than other categories. Furthermore, children aged 48–59 months (OR: 0.69; 95% CI: 0.60–0.80), breastfed children (OR: 0.83; 95% CI: 0.76–0.92), usage of charcoal in cooking (OR: 0.77; 95% CI: 0.69–0.87), and the rainy season effect (OR: 0.66; 95% CI: 0.61–0.72) showed a low risk of developing ARI disease symptoms among children under the age of 5 years in Uganda.

Conclusion

Policy-makers and health stakeholders should initiate target-oriented approaches to address the problem regarding poor children’s healthcare, improper environmental conditions, and childcare facilities. For the sake of early child care, the government should promote child breastfeeding and maternal education.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13532-y.

Under five children's acute respiratory infection dropped significantly in Bangladesh: an evidence from Bangladesh demographic and health survey (BDHS), 1996-2018

AIM

This study aims to systematically identify and review the most significant risk factors and the trends that follow Acute Respiratory Infection (ARI) among children under five in Bangladesh.

METHODS

A total of 6863 under-five children were eligible for our analysis, retrieved from Bangladesh Demographic and Health Survey, 2014. ARI cases were defined if a child experienced of coughing with short and rapid breathing at the chest that occurred during two weeks prior to the study. Logistic regression and systematic review methods were appraised to explore the various risk factors involving ARI in Bangladesh. Furthermore, a trend analysis was performed to overlook the historical trend of ARI prevalence and affiliated determinants from 1996/97 to 2017/18 in Bangladesh.

RESULTS

Over the past two decades, Bangladesh experienced a significant drop in ARI prevalence from 12.8% in 1996 to only 3.0% in 2018. The cross-sectional findings revealed that boys (OR=1.35, 95% CI: 1.03-1.78), stunted children (OR=1.35, 95% CI: 1.03-1.78) and mothers with primary or no education (OR=2.53, 95% CI: 1.43-4.90) and secondary education (OR=1.77, 95% CI: 1.00-3.44) has the higher odds of ARI than their counterparts.

CONCLUSION

ARI prevalence significantly declined in Bangladesh while boys, stunted children and uneducated or primary educated mothers were identified as potential risk factors.

SeV C Protein Plays a Role in Restricting Macrophage Phagocytosis by Limiting the Generation of Intracellular Double-Stranded RNA

Macrophages play a central role in the innate immune response to respiratory viral infections through pro-inflammatory factor secretion and phagocytosis. However, as a countermeasure, viral pathogens have evolved virulence factors to antagonize macrophage function. In our recent in vitro analyses of murine macrophage cell lines, Sendai virus (SeV) accessory protein C inhibited the secretion of pro-inflammatory factors, and C gene-knockout SeV (SeVΔC) caused drastic morphological changes in RAW264.7 macrophages, similar to those observed after stimulation with Lipid A, a well-known activator of actin-rich membrane ruffle formation and phagocytosis. Hence, we sought to determine whether the C protein limits phagocytosis in SeV-infected macrophages through the suppression of membrane ruffling. Phagocytosis assays indicated an upregulation of phagocytosis in both SeVΔC-infected and Lipid A-stimulated macrophages, but not in SeV WT-infected cells. Further, the observed membrane ruffling was associated with phagocytosis. RIG-I is essential for Lipid A-induced phagocytosis; its deficiency inhibited SeVΔC-stimulated phagocytosis and ruffling, confirming the essential role of RIG-I. Moreover, treatment with interferon (IFN)-β stimulation and neutralizing antibodies against IFN-β suggested that SeVΔC-induced phagocytosis and ruffling occurred in an IFN-β-independent manner. A newly isolated SeVΔC strain that does not generate dsRNA further highlighted the importance of dsRNA in the induction of phagocytosis and ruffling. Taken together, the current results suggest that SeV C protein might limit phagocytosis-associated membrane ruffling in an RIG-I-mediated but IFN-independent manner via limiting the generation of intracellular dsRNA.

Association of Acute Respiratory Infections with Indoor Air Pollution from Biomass Fuel Exposure among Under-Five Children in Jimma Town, Southwestern Ethiopia

Background

Most of the households in developing countries burn biomass fuel in traditional stoves with incomplete combustion that leads to high indoor air pollution and acute respiratory infections. Acute respiratory infection is the most common cause of under-five morbidity and mortality accounting for 2 million deaths worldwide and responsible for 18% of deaths among under-five children in Ethiopia. Although studies were done on acute respiratory infections, the majority of studies neither clinically diagnose respiratory infections nor use instant measurement of particulate matter.

Methods

The community-based cross-sectional study design was employed among under-five children in Jimma town from May 21 to June 7, 2020. A total of 265 children through systematic random sampling were included in the study. The data were collected using a pretested semistructured questionnaire and laser pm 2.5 meter for indoor particulate matter concentration. Associations among factors were assessed through correlation analysis, and binary logistic regression was done to predict childhood acute respiratory infections. Variables with p-value less than 0.25 in bivariate regression were the candidate for the final multivariate logistic regression. Two independent sample t-tests were done to compare significant mean difference between concentrations of particulate matter.

Results

Among 265 under-five children who were involved in the study, 179 (67.5%) were living in households that predominantly use biomass fuel. Prevalence of acute respiratory infections in the study area was 16%. Children living in households that use biomass fuel were four times more likely to develop acute respiratory infections than their counterparts (AOR: 4.348; 95% CI: 1.632, 11.580). The size of household was significantly associated with the prevalence of acute respiratory infections. Under-five children living in households that have a family size of six and greater had odds of 1.7 increased risk of developing acute respiratory infections than their counterparts (AOR: 1.7; 95% CI: 1.299, 2.212). The other factor associated with acute respiratory infection was separate kitchen; children living in households in which there were no separate kitchen were four times at increased risk of developing acute respiratory infection than children living in households which have separate kitchen (AOR: 4.591; 95% CI: 1.849, 11.402). The concentration of indoor particulate matter was higher in households using biomass fuel than clean fuel. There was statistically higher particulate matter concentration in the kitchen than living rooms (t = 4.509, p ≤ 0.001). Particulate matter 2.5 concentrations (μg/m³) of the households that had parental smoking were significantly higher than their counterparts (AOR: 20.224; 95% CI: 1.72, 12.58).

Conclusion

There is an association between acute respiratory infections and biomass fuel usage among under-five children. Focusing on improved energy sources is essential to reduce the burden and assure the safety of children.

Acute respiratory infections (ARIs) and factors associated with their poor clinical outcome among children under-five years attending pediatric wards of public hospital in Southwest district of Ethiopia: A prospective observational cohort study

This study was designed to assess the prevalence and factors associated with poor clinical outcome of acute respiratory infections (ARIs) among children less than five years of age at Mizan-Tepi university teaching public hospital in southwest district of Ethiopia. A prospective observational cohort study design was conducted from 01 June to August 30, 2020. Data related to socio-demographics, child nutritional status, clinical and environmental characteristics of patients were collected with structured questionnaire. Follow-up data were gathered from patient’s medical records using standard data collection tool. The data were analyzed using SPSS versions 25.0. In this study, 305 children of age less than five years were included. Of these, 124 (40.7%) of children were diagnosed with ARIs, of which 66 (53.2%) were female and 69 (55.6%) were age of 24–59 months. Of children diagnosed with ARIs, 21 (16.9%) were ended with poor clinical outcomes after completion of their treatment. In the multivariate analysis, age of children and presence of any other disease conditions (OR = 0.331; 95% CI: 0.123– 0.880; p= 0.024), exposure to indoor air pollution (OR = 0.344; 95% CI: 0.128– 0.925; p= 0.030),  malnutrition (OR = 0.175; 95% CI: 0.058– 0.523; p= 0.002) and end point pneumonia (OR = 0.305; 95% CI: 0.113–0.821; p= 0.015) were found to be independent factors for poor outcome of under-five children with ARIs. Our findings highlight that timely detection, proper management and treatments as well as addressing other contributing factors are essentials in order to reduce prevalence and poor clinical outcomes of under five children with ARIs.

The effect of timely initiation of complementary feeding and vitamin A supplementation on acute malnutrition among children aged 6-59 months attending Hamusit Health Centre, Northwest Ethiopia, 2021: A cross-sectional study

INTRODUCTION

Acute malnutrition is a nutritional deficiency that results either from inadequate energy or protein intake. It is more prevalent in low- and middle-income countries. Even though efforts have been carried out at the global and national level, the burden is still intolerable and it attracts the attention of the government and researchers. Hence, this study aims to assess the magnitude of acute malnutrition and its associated factors among under-five children who attended Hamusit Health Centre from 1st September to 30th January 2021.

MATERIALS AND METHODS

This institution-based cross-sectional study was conducted from 1st September to 30th January on 404 randomly selected under-five children who visited the health centre. Samples were selected using a simple random sampling technique, and the data were obtained using a pre-tested standardized questionnaire. For data entry and analysis, Epi-info 7 and SPSS 21 applications were used, respectively. Bivariable and multivariable binary logistic regression were used to identify associated factors at a 95% confidence interval. Significance was considered at p-value<0.05.

RESULTS

The present research involved a total of 404 children aged 6-59 months. The magnitude of acute malnutrition in this study was 14.4%. Children aged 6-23 months [AOR: 2.92; 95%CI (1.46, 5.85)], vitamin A supplementation [AOR: 0.49; 95%CI (0.25, 0.95)], not timely initiation of complementary feeding [AOR: 2.02; 95%CI (1.06, 3.82)] and children with diarrhea prior to two weeks of the survey [AOR: 2.47; 95% CI (1.28, 4.87)] were significantly associated with acute malnutrition.

CONCLUSION

A significant number of children aged 6-59 months were affected by acute malnutrition. Younger children, vitamin A supplementation, not timely initiation of complementary feeding, and children with diarrhoea were other factors associated with acute malnutrition.

Structural Insight into the Interaction of Sendai Virus C Protein with Alix To Stimulate Viral Budding

The Sendai virus (SeV), belonging to the Respirovirus genus of the family Paramyxoviridae, harbors an accessory protein, named C protein, which facilitates the viral pathogenicity in mice. In addition, the C protein is known to stimulate the budding of virus-like particles through the binding to the host ALG-2 interacting protein X (Alix), a component of the endosomal sorting complexes required for transport (ESCRT) machinery. However, siRNA-mediated gene knockdown studies suggested that neither Alix nor C protein are related to the SeV budding. In the present study, we determined the crystal structure of a complex comprising of the C-terminal half of the C protein (Y3) and the Bro1 domain of Alix at a resolution of 2.2 Å, to investigate the role of the association in the SeV budding. The structure revealed that a novel consensus sequence, LxxW, which is conserved among the Respirovirus C proteins, is important for the Alix-binding. SeV possessing a mutated C protein with a reduced Alix-binding affinity showed impaired virus production, which correlated with the binding affinity. Infectivity analysis showed a 160-fold reduction at 12 h post-infection compared with non-mutated virus, while C protein competes with CHMP4, one subunit of the ESCRT-III complex, on the binding to Alix. Altogether, these results highlight the critical role of C protein in the SeV budding. IMPORTANCE Human parainfluenza virus type I (hPIV1) is a respiratory pathogen affecting in young children, immunocompromised patients, and the elderly, with no available vaccines or antiviral drugs. Sendai virus (SeV), a murine counterpart of hPIV1, has been extensively studied to determine the molecular and biological properties of hPIV1. These viruses possess a multifunctional accessory protein, C protein, which is essential for stimulating the viral reproduction, however, its role in budding remains controversial. In the present study, the crystal structure of the C-terminal half of the SeV C protein associated with the Bro1 domain of Alix, a component of a cell membrane modulating machinery ESCRT, was elucidated. Based on the structure, we designed mutated C proteins with different binding affinity to Alix, and showed that the interaction between C and Alix is vital for the viral budding. These findings provide new insights into the development of a new antiviral drugs against hPIV1.

Predictors of community acquired childhood pneumonia among 2-59 months old children in the Amhara Region, Ethiopia

Background

Worldwide, pneumonia is the third leading cause of death in under 5 years children. Ethiopia is ranked 4th out of 15 countries having the highest burdens of the death rate among under-five children due to pneumonia. Regardless of this fact, efforts to identify determinants of pneumonia have been limited yet in Amhara region. This study was aimed to identify predictors of community-acquired childhood pneumonia among 2–59 months old children in the Amhara region, Ethiopia.

Methods

Facility-based case–control study was conducted in the Amhara region from June 4 to July 15, 2018, among 28 health centers distributed across the region. The total sample size used was 888 (296 cases and 592 controls) children whose age were 2–59 months. At first, multistage sampling technique was employed. Data were collected on a face-to-face interview. Epi data v. 4.6 for data entry and statistical packages for social sciences version 23 for data analysis were used. Multivariable logistic regression analyses were used to test the associations between the study variables at P-value < 0.05 with 95% CI. As a result, determinants were identified for CAP.

Results

Among 888 enrolled children (296 cases and 592 controls), who experienced a community-acquired pneumonia had an increased risk of maternal age of 18–24 years (AOR 0.03, at 95%CI (0.01, 0.14), Government employee (AOR 0.19, at 95% CI (0.07,0.54), lack of separate kitchen (AOR 5.37; at 95% CI (1.65, 17.43), history of diarrhea in the past two weeks (AOR 10.2; at 95% CI (5.13, 20.18), previous respiratory tract infections (AOR 8.3, at 95% CI (3.32, 20.55) and history of parental asthma (AOR 4.9, at 95% CI (2.42, 10.18).

Conclusion

Maternal age of 18–24 years and government employee, lack of separate kitchen, history of diarrhea in the past two weeks; previous respiratory tract infection and history of parental asthma were found statistically significant. Health personnel’s needs to focus on creating awareness to the community on the merit of the separate kitchen for reduction of Community-acquired childhood pneumonia, and focus on prevention and management of childhood diarrheal and acute respiratory tract infections.

Biomass fuel use and acute respiratory infection among children younger than 5 years in Ethiopia: a systematic review and meta-analysis

OBJECTIVES

The objective of this study was to estimate the magnitude of acute respiratory infection (ARI) among children younger than 5 years (under-five children) and its association with biomass fuel use for domestic purposes and other behavioural and housing characteristics in Ethiopia.

STUDY DESIGN

Systematic review and meta-analysis.

METHODS

PubMed, Google Scholar, MEDLINE and the Cochrane Library were systematically searched (using the Preferred Items for Systematic Review and Meta-analysis guideline) for studies that reported an association between biomass fuel use for domestic purposes and ARI. Grey literature and other sources of unpublished information, which were subjected to the same extraction methods and quality appraisal as published studies, were also identified. A meta-analysis was performed to combine the quantitative measures from eligible individual studies into a summary estimate. Quality assessment was conducted using the modified Newcastle-Ottawa Scale quality assessment tool for cross-sectional and case-control studies. Funnel and Doi plots were used to detect potential publication bias. Statistical analyses were performed using Comprehensive Meta-Analysis and MetaXL, version 5.3, software.

RESULTS

A total of 21 (18 cross-sectional and 3 case-control) eligible studies with their combined 30,013 participants were reviewed. The overall pooled prevalence of ARI among under-five children in households where biomass fuel was the main source of energy was estimated to be 22% (95% confidence interval [CI]: 17-29). In the subgroup analysis by area of residence, the highest prevalence was found in urban regions 26% (95% CI: 24-28). Based on the preceding 2 weeks before the interview, a significant association was found between biomass fuel use and ARI (odds ratio [OR] = 2.6, 95% CI: 2.05-3.30). In addition to biomass fuel use, being female (OR = 1.57, 95% CI: 1.06-2.33), absence of a window in the kitchen (OR = 2.89, 95% CI: 2.11-3.96), being carried on the back or in lap during cooking (OR = 2.76, 95% CI: 1.96-3.89) and non-separated kitchen from the main house (OR = 1.99, 95% CI: 1.49-2.68) were associated with ARI.

CONCLUSIONS

Based on the results of this review, ARI among under-five children remains high. The present study also revealed that ARI is associated with biomass fuel use, child's gender, absence of a window in the kitchen, non-separated kitchen and carrying the child while cooking. Improved solid fuel stoves, advanced combustion designs, windows or chimneys, separating the kitchen from the main house are all measures required to reduce ARI in under-five children.

SYSTEMATIC REVIEW REGISTRATION

The review has been registered with PROSPERO (registration number CRD42020181372).

Spatial patterns of lower respiratory tract infections and their association with fine particulate matter

This study aimed to identify the spatial patterns of lower respiratory tract infections (LRIs) and their association with fine particulate matter (PM_2.5). The disability-adjusted life year (DALY) database was used to represent the burden each country experiences as a result of LRIs. PM_2.5 data obtained from the Atmosphere Composition Analysis Group was assessed as the source for main exposure. Global Moran's I and Getis-Ord Gi* were applied to identify the spatial patterns and for hotspots analysis of LRIs. A generalized linear mixed model was coupled with a sensitivity test after controlling for covariates to estimate the association between LRIs and PM_2.5. Subgroup analyses were performed to determine whether LRIs and PM_2.5 are correlated for various ages and geographic regions. A significant spatial auto-correlated pattern was identified for global LRIs with Moran's Index 0.79, and the hotspots of LRIs were clustered in 35 African and 4 Eastern Mediterranean countries. A consistent significant positive association between LRIs and PM_2.5 with a coefficient of 0.21 (95% CI 0.06-0.36) was identified. Furthermore, subgroup analysis revealed a significant effect of PM_2.5 on LRI for children (0-14 years) and the elderly (≥ 70 years), and this effect was confirmed to be significant in all regions except for those comprised of Eastern Mediterranean countries.

Place of food cooking is associated with acute respiratory infection among under-five children in Ethiopia: multilevel analysis of 2005-2016 Ethiopian Demographic Health Survey data

Background

Globally, acute respiratory infections are among the leading causes of under-five child mortality, especially in lower-income countries; it is associated with indoor exposure to toxic pollutants from solid biomass fuel. In Ethiopia, 90% of the population utilizes solid biomass fuel; respiratory illness is a leading health problem. However, there is a paucity of nationally representative data on the association of household cooking place and respiratory infections. Besides, evidence on the variability in the infection based on the data collected at different times is limited. Therefore, this study is intended to assess the association of food cooking place with acute respiratory infections and the variability in households and surveys.

Methods

The current analysis is based on the Ethiopian Demographic and Health Survey data collected in 2005, 2011, and 2016 and obtained via online registration. The association of food cooking place with acute respiratory infection was assessed using multilevel modeling after categorizing all factors into child level and survey level, controlling them in a full model. The analyses accounted for a complex survey design using a Stata command “svy.”

Result

A total of 30,895 under-five children were included in this study, of which 3677 (11.9%) children had an acute respiratory infection, with 12.7% in 2005, 11.9% in 2011, and 11.1% in 2016. The risk of having an infection in under-five children in households that cooked food outdoors was 44% lower (AOR = 0.56, 95% CI = 0.40, 0.75) compared to those households that cooked the food inside the house. There was a statistically significant difference among the children among surveys to have an acute respiratory infection.

Conclusion

The risk of having children with acute respiratory infection is lower in the households of cooking food outdoor compared to indoor. The infection difference in different surveys suggests progress in the practices in either food cooking places or the fuel types used that minimize food cooking places location or the fuel types used that minimizes the risk. But, the infection is still high; therefore, measures promoting indoor cooking in a well-ventilated environment with alternative energy sources should take place.

Childhood morbidity and its determinants: evidence from 31 countries in sub-Saharan Africa

Background

Although under-five mortality reduced globally from 93 per 1000 live births in 1990 to 39 in 2018, sub-Saharan Africa witnessed an increase from 31% in 1990 to 54% in 2018. Morbidity has been reported to contribute largely to these deaths. This study examined the factors that are associated with childhood morbidity in sub-Saharan Africa.

Methods

Demographic and Health Surveys of 31 countries in sub-Saharan Africa were used in this study. The study involved 189 069 children who had or did not have fever, cough or diarrhoea in the 2 weeks preceding the surveys. Descriptive statistics and binary logistic regression were applied in the analysis.

Results

About 22% of the children suffered from fever, 23% suffered from cough and 16% suffered from diarrhoea. While the odds of experiencing fever increased by 37% and 18%, respectively, for children from poorest and poorer households, children of women aged 15–24 and 25–34 years are 47% and 23%, respectively, more likely to experience diarrhoea. The probability of suffering from morbidity increased for children who are 12–23 months, of higher order birth, small in size at birth and from households with non-improved toilet facility.

Conclusions

This study has shown that childhood morbidity remains a major health challenge in sub-Saharan Africa with socioeconomic, maternal, child’s and environmental factors playing significant roles. Efforts at addressing this problem should consider these factors.