Assessing Acute and Chronic Risks of Human Exposure to Arsenic: A Cross-Sectional Study in Ethiopia Employing Body Biomarkers.

Background: Arsenic, a widely recognized and highly toxic carcinogen, is regarded as one of the most hazardous metalloids globally. However, the precise assessment of acute and chronic human exposure to arsenic and its contributing factors remains unclear in Ethiopia. Objective: The primary goal of this study was to assess the levels of acute and chronic arsenic exposure, as well as the contributing factors, using urine and nail biomarkers. Methods: A community-based analytical cross-sectional study design was employed for this study. Agilent 7900 series inductively coupled plasma mass spectrometry was used to measure the concentrations of arsenic in urine and nail samples. We performed a multiple linear regression analysis to assess the relationships between multiple predictors and outcome variables. Results: The concentration of arsenic in the urine samples ranged from undetectable (<0.01) to 126.13, with a mean and median concentration of 16.02 and 13.5 µg/L, respectively. However, the mean and median concentration of arsenic in the nails was 1.01, ranging from undetectable (<0.01 µg/g) to 2.54 µg/g. Furthermore, Pearson's correlation coefficient analysis showed a significant positive correlation between arsenic concentrations in urine and nail samples (r = 0.432, P < .001). Also, a positive correlation was observed between urinary (r = 0.21, P = .007) and nail (r = 0.14, P = .044) arsenic concentrations and the arsenic concentration in groundwater. Groundwater sources and smoking cigarettes were significantly associated with acute arsenic exposure. In contrast, groundwater sources, cigarette smoking, and the frequency of showers were significantly associated with chronic arsenic exposure. Conclusions: The study's findings unveiled the widespread occurrence of both acute and chronic arsenic exposure in the study area. Consequently, it is crucial to prioritize the residents in the study area and take further measures to prevent both acute and chronic arsenic exposure.

Magnitude of psychological distress and associated factors among war survivor women in Northern, Ethiopia, 2022: a community-based cross-sectional survey.

BACKGROUND: Civilian war and internal conflicts increase the incidences of mental health conditions among war survivors. It is crucial to assess war-related psychological consequences in war-affected areas in Ethiopia to intervene in the future. Thus, this study aimed to determine the magnitude of psychological distress and associated factors of psychological distress among war survivor women in Northern, Ethiopia. METHODS: A community-based cross-sectional survey was conducted, and 1596 war survivor women were recruited to participate using a face-to-face interviews with a census sampling technique from May 1-30, 2022. The psychological distress was assessed using a Kessler psychological distress scale (K10). Bi-variable and multi-variable logistic regression analyses were used, and variables with a p-value less than 0.05 in the multivariable analyses were considered statistically significant. RESULT: In this study, the response rate was 100% and the prevalence of psychological distress was 44.90% at a 95% CI: (42.40, 47.40). Psychological distress was significantly associated with the education of ability to read and write (AOR = 2.92; 95% CI: 2.12, 4.01), primary education and above (AOR = 3.08; 95% CI: 2.09, 4.54), housewife (AOR = 5.07; 95%CI: 2.64, 9.74), farmer (AOR = 8.92; 95%CI: 4.03, 19.70), emotional violence (AOR = 1.52; 95%CI: 1.05, 2.18), physical violence (AOR = 3.85; 95%CI: 2.37, 6.26) and sexual violence (AOR = 3.25; 95%CI: 1.98, 5.33) whereas being separate was protective for psychological distress (AOR = 0.38; 95%CI: 0.16, 0.92). CONCLUSION: The prevalence of psychological distress was found to be high. Therefore, women who are housewives, married, farmers, educated, and who have experienced violence must be the focus of governmental and private collaborative interventions to prevent war-related psychological morbidity and mortality.

Iron folic acid supplementation adherence level and its associated factors among pregnant women in Ethiopia: a multilevel complex data analysis of 2019 Ethiopian mini demographic and health survey data.

Background: Iron and folic acid deficiency is a worldwide public health concern, particularly in low and middle-income countries. In Ethiopia, adherence to iron and folic acid supplements is still very low. Despite the fact that a number of studies on IFA supplementation have been conducted in Ethiopia, they do not indicate a nationwide problem and do not use advanced models to demonstrate clustering effects. The purpose of this study was to assess the level of non-adherence to iron folic acid supplementation and predictors among pregnant women in Ethiopia. Objective: To assess iron folic acid supplementation adherence level and its associated factors among pregnant women in Ethiopia using data from the 2019 Mini-Ethiopian demographic health survey. Methods: The Mini Ethiopian Demographic and Health Survey 2019 data were obtained from the official database website of the Demographic and Health Survey program (http://dhsprogram.com). The analysis included a sample of 2,356 weighted study participants. A multivariable multilevel mixed-effects logistic regression model was used Variables with p-values less than 5%) was reported as statistically significant variables in the multivariable analysis. Results: The proportion of mothers who did not adhere to iron and folic acid supplements was 81.03% (95 %CI, 79.39, and 82.56). Birth interval less than 2 years [AOR: 2.03; 95% CI: 1.12, 3.66], women ever born less than six children [AOR: 1.99; 95% CI: 1.09, 3.64], starting ANC visit during first trimester [AOR: 2.74; 95 %CI: 1.03, 7.30], region [AOR = 0.24; 95% CI: 0.10], and having a high no ANC visit in the community [AOR = 1.77; 95% CI: 1.08, 2.88] were statistically significant factors. There was Intra-Custer Correlation (ICC = 17.72%), indicating that 17.72% variability in non-adherence levels was due to clusters. Conclusion and recommendation: In Ethiopia, nearly four out of every five pregnant women did not receive iron folic acid supplementation for the recommended periods. Birth intervals, number of children, timing of ANC visits, region, and community level no ANC service were significant factors for non-adherence IFAS. As a result, the community, govern metal and non-governmental sectors enacting on health should focus on reducing non-adherence through tailored interventions on factors that influence it.

Examining carcinogenic and noncarcinogenic health risks related to arsenic exposure in Ethiopia: A longitudinal study.

Background: The carcinogenic properties of arsenic make it one of the most hazardous chemicals globally. Nevertheless, the exact level of human exposure to arsenic and the associated risks of cancer and non-cancer effects through different pathways in Ethiopia are still uncertain. Objective: The primary aim of this study was to evaluate the risk of both cancer and non-cancer outcomes among children and adults who have been exposed to arsenic through drinking water in the Adami Tulu Jido Kombolcha district of Ethiopia. Methods: For this study, a longitudinal study design was employed. A total of 45 groundwater sources were sampled using the census sampling method. The concentrations of total arsenic were measured using Agilent 7900 series inductively coupled plasma mass spectrometry. Carcinogenic and noncarcinogenic risk assessments were conducted by calculating lifetime cancer risk and hazard quotients. Microsoft Office Excel was utilized to calculate human health risk indices, and descriptive statistical analysis were performed using SPSS software. Results: Our findings revealed that during the dry season, the mean arsenic concentration in the groundwater samples was 11.15 ± 9.38 µg/L, while during the rainy season, it was 10.67 ± 8.16 µg/L. The total cancer risk for children, resulting from oral ingestion and skin contact, was 1.15 × 10-2 and 1.07 × 10-2 during the dry and rainy seasons, respectively. For adults, the total cancer risk from oral ingestion and skin contact during the dry and rainy seasons was 4.95 × 10-3 and 4.59 × 10-3, respectively. Furthermore, the total hazard quotients for children via oral ingestion and skin absorption were 25.9 and 24.0 during the dry and rainy seasons, respectively. For adults, the total hazard quotients from ingestion and dermal contact during the dry and rainy seasons were 11 and 10, respectively. Conclusions: The findings indicate that the risks of cancer and non-cancer effects resulting from arsenic exposure through ingestion and dermal exposure were found to exceed the acceptable thresholds in both seasons. These results emphasize the urgent need for focused attention on the study population in the study area due to the high likelihood of experiencing adverse health outcomes.

Antimicrobial resistance profiles of bacterial isolates from clinical specimens referred to Ethiopian Public Health Institute: analysis of 5-year data.

BACKGROUND: Antimicrobial resistance is one of the common global public health problems. The emergence of antimicrobial resistance is multifactorial, and tackling its development is challenging. Consequently, infections caused by resistant bacteria are unresponsive to conventional drugs, resulting in prolonged and severe illnesses, higher mortality rates, and considerable healthcare costs. Therefore, understanding the antimicrobial resistance profiles of bacterial pathogens is essential to optimize treatments and reduce the risks associated with infections. This study aimed to determine the antimicrobial resistance patterns of bacterial isolates from different clinical specimens at the Ethiopian Public Health Institute (EPHI). MATERIALS AND METHODS: The retrospective cross-sectional study was conducted on the bacterial culture and antibiotic susceptibility reports of different clinical specimens referred to the Bacteriology Laboratory of EPHI from September 2015 to August 2019. Standard bacteriological techniques were used for the isolation and identification of the bacteria. Data were extracted from 840 patients' records, which included the type of clinical sample cultured, the name of the bacteria, the representations of the antibiotics used for susceptibility testing, and the susceptibility results. Descriptive statistics were used to describe the bacterial isolates and the antimicrobial resistance profiles. RESULTS: Eight types of clinical specimens were analyzed for bacterial isolates and urine specimens were the most analyzed. Ten different genera of bacteria were identified by culture. Almost all the isolates were gram-negative bacteria, while only one species of gram-positive (Staphylococcus aureus) was reported. Antibiotic sensitivity patterns were tested on 840 culture isolates. Escherichia coli strains revealed more than 57% resistance to seventeen antibiotics. Klebsiella pneumoniae showed nearly 70% or greater resistance rates for 17 of the antibiotics used. The overall detected multidrug resistance (MDR) was 64.29%. The highest MDR was reported in Acinetobacter strains (84%) followed by K. pneumoniae (80%). CONCLUSIONS: The multidrug resistance rates found in this study were alarming. Strengthening antimicrobial resistance surveillance at the national level is mandatory, and antimicrobial sensitivity testing should be accessible at local diagnostic centers.

Determinants of Malnutrition and its associated factors among pregnant and lactating women under armed conflict areas in North Gondar Zone, Northwest Ethiopia: a community-based study.

INTRODUCTION: Maternal malnutrition remains a major public health problem, particularly in low and middle-income countries and war-affected areas like Ethiopia. Malnourished pregnant and lactating women with low nutrient stores have babies with poor mental and physical development, increasing the risk of poor birth outcomes. Despite the fact that the majority of Ethiopian mothers are malnourished, there is little evidence in war-affected areas. Therefore, the objective of this study was to assess the prevalence of undernutrition and associated factors among pregnant and lactating mothers in the war affected area of North Gondar Zone, northwest Ethiopia. METHODS: A community-based cross-sectional study was conducted from April 10 to May 25, 2022. A multistage random sampling technique was used to select 1560 pregnant and lactating mothers. MUAC was to ascertain the outcome variable. Data was entered and analyzed by using EPI INFO version 3.5.3 and SPSS version 24, respectively. A multivariable logistic regression analysis was employed to identify the factors associated with acute malnutrition. An adjusted odds ratio (AOR) with a 95% confidence interval was used to show the strength of the association, while a P-value of 0.05 was used to declare the significance of the association. RESULTS: The prevalence of acute malnutrition among pregnant and lactating women was 34.3% at the 95% CI (31.9-36.8). The age of the mothers (AOR = 0.73; 95% CI: 0.54, 0.99), family size 6-8 (AOR = 1.21; 95% CI: 1.03, 1.82), and greater than or equal to 9 family sizes (AOR = 0.44; 95% CI: 0.19, 0.97), were significantly associated with acute malnutrition. CONCLUSIONS: In the current study, the prevalence of acute malnutrition among pregnant and lactating mothers is high in the study area. Mother's age and family size were factors associated with acute malnutrition in war-affected areas. As a result, mothers with large families will require special assistance to reduce the impact of malnutrition.

Prevalence of arsenic-induced skin lesions and associated factors in Ethiopia: Community-based study.

The study aimed to assess the prevalence of arsenic-induced skin lesions and associated factors among the population in the Adami Tulu Jido Kombolcha district, Ethiopia. A community-based cross-sectional study design was employed among 403 participants from June 02-20, 2022. A two-stage cluster sampling method was conducted to select study subjects. A pretested structured and semi-structured interview questionnaire and observation using a WHO flow chart were used for data collection. Data analysis was performed using SPSS version 24 statistical software for Windows. A multivariable binary logistic regression model was applied to examine the relationship between predictor variables and an outcome variable. The degrees of association between outcomes and predictor variables were assessed using ORs and 95% CIs, and P-values < 0.05 were considered significant. The prevalence of arsenic-induced skin lesions (arsenicosis) in the study area was 2.2% [95% CI: 1.0-3.7]. The most common arsenic-induced manifestation was keratosis (55.6%), followed by hyperpigmentation (33.3%) and hyperkeratosis (11.1%). Consumption of well water, smoking cigarettes, and chewing khat were significantly associated with arsenic-induced skin lesions. Therefore, the findings of this study should trigger further research on arsenic exposure and health risks.

Socio-demographic and environmental determinants of under-five child mortality in Ethiopia: using Ethiopian demographic and Health 2019 survey.

BACKGROUND: The under-five mortality rate is a reliable indicator of a country's general level of development and the wellbeing of its children. Life expectancy is a good indicator of a population's standard of living. OBJECTIVES: To identify Socio-demographic and Environmental determinants of under-five child mortality in Ethiopia. METHODS: A national representative cross sectional study and a quantitative study were conducted among 5753 households selected based on 2019 Mini-Ethiopian Demographic and Health Survey (EDHS-2019) data. The analysis was done using STATA version 14 statistical software. Bivariate and multivariate analyses were used. To assess the determinants of under-five child mortality in multivariate analysis, p values less than 0.05 were considered statistically significant, and odds ratios with 95% CI (confidence interval) were used. RESULTS: A total of 5,753 children were included in the study. Sex of the head of the household being female (AOR = 2:350, 95% CI: 1.310, 4.215), the U5CM for being their mother were currently married (AOR = 2:094, 95% CI: 1.076, 4.072), The odds of U5CM was less by 80% (AOR = 1.797, 95% CI: 1.159-2.782) with the number of under-five children at the household born 2-4th order as compared to those children born on the first order. For the mothers visit anti natal care four and above visit (AOR = 1:803, 95% CI: 1.032, 3.149), for the way of delivery (AOR = 0:478, 95% CI: 0.233, 0.982). CONCLUSION: Multivariate logistic analysis reflected that way of delivery, mothers had being currently marred, sex of the head of the household and number of antenatal care visit were found to be significant predictors of under-five child mortality. So, government policy, nongovernmental organizations, and all concerned bodies should be focused on the major determinants of under-five child mortality and put in a lot more effort to reduce under-five child mortality.

Deep-learning models for image-based gynecological cancer diagnosis: a systematic review and meta- analysis.

Introduction: Gynecological cancers pose a significant threat to women worldwide, especially those in resource-limited settings. Human analysis of images remains the primary method of diagnosis, but it can be inconsistent and inaccurate. Deep learning (DL) can potentially enhance image-based diagnosis by providing objective and accurate results. This systematic review and meta-analysis aimed to summarize the recent advances of deep learning (DL) techniques for gynecological cancer diagnosis using various images and explore their future implications. Methods: The study followed the PRISMA-2 guidelines, and the protocol was registered in PROSPERO. Five databases were searched for articles published from January 2018 to December 2022. Articles that focused on five types of gynecological cancer and used DL for diagnosis were selected. Two reviewers assessed the articles for eligibility and quality using the QUADAS-2 tool. Data was extracted from each study, and the performance of DL techniques for gynecological cancer classification was estimated by pooling and transforming sensitivity and specificity values using a random-effects model. Results: The review included 48 studies, and the meta-analysis included 24 studies. The studies used different images and models to diagnose different gynecological cancers. The most popular models were ResNet, VGGNet, and UNet. DL algorithms showed more sensitivity but less specificity compared to machine learning (ML) methods. The AUC of the summary receiver operating characteristic plot was higher for DL algorithms than for ML methods. Of the 48 studies included, 41 were at low risk of bias. Conclusion: This review highlights the potential of DL in improving the screening and diagnosis of gynecological cancer, particularly in resource-limited settings. However, the high heterogeneity and quality of the studies could affect the validity of the results. Further research is necessary to validate the findings of this study and to explore the potential of DL in improving gynecological cancer diagnosis.

Modelling trends of CD4 counts for patients on antiretroviral therapy (ART): a comprehensive health care clinic in Nairobi, Kenya.

BACKGROUND: In resource-limited settings, changes in CD4 counts constitute an important component in patient monitoring and evaluation of treatment response as these patients do not have access to routine viral load testing. In this study, we quantified trends on CD4 counts in patients on highly active antiretroviral therapy (HAART) in a comprehensive health care clinic in Kenya between 2011 and 2017. We evaluated the rate of change in CD4 cell count in response to antiretroviral treatment. We further assessed factors that influenced time to treatment change focusing on baseline characteristics of the patients and different initial drug regimens used. This was a retrospective study involving 432 naïve HIV patients that had at least two CD4 count measurements for the period. The relationship between CD4 cell count and time was modeled using a semi parametric mixed effects model while the Cox proportional hazards model was used to assess factors associated with the first regimen change. RESULTS: Majority of the patients were females and the average CD4 count at start of treatment was 362.1 [Formula: see text]. The CD4 count measurements increased nonlinearly over time and these trends were similar regardless of the treatment regimen administered to the patients. The change of logarithm CD4 cell count rises fast for in the first 450 days of antiretroviral initiation. The average time to first regimen change was 2142 days. Tenoforvir (TDF) based regimens had a lower drug substitution(aHR 0.2682, 95% CI:0.08263- 0.8706) compared to Zidovudine(AZT). CONCLUSION: The backbone used was found to be associated with regimen changes among the patients with fewer switches being observed, with the use of TDF when compared to AZT. There was however no significant difference between TDF and AZT in terms of the rate of change in logarithm CD4 count over time.

The Role of Household Flooring on Childhood Diarrhea Among Children 0 to 23 Months of Age in Ethiopia: A Nationally Representative Cross-Sectional Study Using a Multi-Level Mixed Effect Analysis.

INTRODUCTION: Household flooring has been associated with diarrhea, but few studies have examined the association between childhood diarrhea and type of household flooring considering the individual and community level characteristics. We aimed to determine if household flooring was associated with childhood diarrhea among children 0 to 23 months of age in Ethiopia. METHODS: Data from the fourth round of the Ethiopian Demographic and Health Survey (EDHS) conducted in 2016 is used to carry out the analysis. The EDHS was large, cross-sectional by design and nationally representative. In the current analysis, we included children 0 to 23 months of age (n = 4552) with their mother and 636 community clusters. To get information about the occurrence of diarrhea, mothers/caregivers were asked, "Has (NAME) had diarrhea in the last 2 weeks?" The response to this question was recorded as, "yes" or "no." A multilevel binary logistic regression model was fitted to identify factors associated with childhood diarrhea. RESULTS: The overall prevalence of diarrhea among children 0 to 23 months of age in Ethiopia was 15.5% (95% CI [confidence interval] 14.4-16.5). No association was found between childhood diarrhea and type of household flooring (adjusted odds ratio [AOR] 1.05, 95% CI 0.59-1.88). The adjusted odds also showed that the age of the child, having an acute respiratory infection (ARI), and size of the child at birth were associated with diarrhea. CONCLUSION: We found no association between childhood diarrhea and the type of household flooring. Further research with strong research design is needed to determine the effect of household flooring on childhood diarrhea.

A Roadmap for Building Data Science Capacity for Health Discovery and Innovation in Africa.

Technological advances now make it possible to generate diverse, complex and varying sizes of data in a wide range of applications from business to engineering to medicine. In the health sciences, in particular, data are being produced at an unprecedented rate across the full spectrum of scientific inquiry spanning basic biology, clinical medicine, public health and health care systems. Leveraging these data can accelerate scientific advances, health discovery and innovations. However, data are just the raw material required to generate new knowledge, not knowledge on its own, as a pile of bricks would not be mistaken for a building. In order to solve complex scientific problems, appropriate methods, tools and technologies must be integrated with domain knowledge expertise to generate and analyze big data. This integrated interdisciplinary approach is what has become to be widely known as data science. Although the discipline of data science has been rapidly evolving over the past couple of decades in resource-rich countries, the situation is bleak in resource-limited settings such as most countries in Africa primarily due to lack of well-trained data scientists. In this paper, we highlight a roadmap for building capacity in health data science in Africa to help spur health discovery and innovation, and propose a sustainable potential solution consisting of three key activities: a graduate-level training, faculty development, and stakeholder engagement. We also outline potential challenges and mitigating strategies.

Informal mhealth at scale in Africa: Opportunities and challenges.

The extraordinary global growth of digital connectivity has generated optimism that mobile technologies can help overcome infrastructural barriers to development, with 'mobile health' (mhealth) being a key component of this. However, while 'formal' (top-down) mhealth programmes continue to face challenges of scalability and sustainability, we know relatively little about how health-workers are using their own mobile phones informally in their work. Using data from Ghana, Ethiopia and Malawi, we document the reach, nature and perceived impacts of community health-workers' (CHWs') 'informal mhealth' practices, and ask how equitably these are distributed. We implemented a mixed-methods study, combining surveys of CHWs across the three countries, using multi-stage proportional-to-size sampling (N = 2197 total), with qualitative research (interviews and focus groups with CHWs, clients and higher-level stake-holders). Survey data were weighted to produce nationally- or regionally-representative samples for multivariate analysis; comparative thematic analysis was used for qualitative data. Our findings confirm the limited reach of 'formal' compared with 'informal' mhealth: while only 15% of CHWs surveyed were using formal mhealth applications, over 97% reported regularly using a personal mobile phone for work-related purposes in a range of innovative ways. CHWs and clients expressed unequivocally enthusiastic views about the perceived impacts of this 'informal health' usage. However, they also identified very real practical challenges, financial burdens and other threats to personal wellbeing; these appear to be borne disproportionately by the lowest-paid cadre of health-workers, especially those serving rural areas. Unlike previous small-scale, qualitative studies, our work has shown that informal mhealth is already happening at scale, far outstripping its formal equivalent. Policy-makers need to engage seriously with this emergent health system, and to work closely with those on the ground to address sources of inequity, without undermining existing good practice.

Geographical variation and factors associated with unsafe child stool disposal in Ethiopia: A spatial and multilevel analysis.

BACKGROUND: Unsafe disposal of children's stool makes children susceptible to fecal-oral diseases and children remain vulnerable till the stools of all children are disposed of safely. There is a paucity of data on spatial distribution and factors associated with unsafe child stool disposal in Ethiopia. Previous estimates, however, do not include information regarding individual and community-level factors associated with unsafe child stool disposal. Hence, the current study aimed (i) to explore the spatial distribution and (ii) to identify factors associated with unsafe child stool disposal in Ethiopia. METHODS: A secondary data analysis was conducted using the recent 2016 Ethiopian demographic and health survey data. A total of 4145 children aged 0-23 months with their mother were included in this analysis. The Getis-Ord spatial statistical tool was used to identify high and low hotspots areas of unsafe child stool disposal. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant spatial clusters. A multilevel multivariable logistic regression model was fitted to identify factors associated with unsafe child stool disposal. RESULTS: Unsafe child stool disposal was spatially clustered in Ethiopia (Moran's Index = 0.211, p-value< 0.0001), and significant spatial SaTScan clusters of areas with a high rate of unsafe child stool disposal were detected. The most likely primary SaTScan cluster was detected in Tigray, Amhara, Afar (north), and Benishangul-Gumuz (north) regions (LLR: 41.62, p<0.0001). Unsafe child stool disposal is more prevalent among households that had unimproved toilet facility (AOR = 1.54, 95%CI: 1.17-2.02) and those with high community poorer level (AOR: 1.74, 95%CI: 1.23-2.46). Higher prevalence of unsafe child stool disposal was also found in households with poor wealth quintiles. Children belong to agrarian regions (AOR: 0.62, 95%CI 0.42-0.91), children 6-11 months of age (AOR: 0.65, 95%CI: 0.52-0.83), 12-17 months of age (AOR: 0.68, 95%CI: 0.54-0.86), and 18-23 months of age (AOR: 0.58, 95%CI: 0.45-0.75) had lower odds of unsafe child stool disposal. CONCLUSIONS: Unsafe child stool disposal was spatially clustered. Higher odds of unsafe child stool disposal were found in households with high community poverty level, poor, unimproved toilet facility, and with the youngest children. Hence, the health authorities could tailor effective child stool management programs to mitigate the inequalities identified in this study. It is also better to consider child stool management intervention in existing sanitation activities considering the identified factors.

Epidemiology of streptomycin resistant Salmonella from humans and animals in Ethiopia: A systematic review and meta-analysis.

BACKGROUND: Streptomycin is used as an epidemiological marker in monitoring programs for antimicrobial resistance in Salmonella serovars and indicates the presence of pentaresistance. However, comprehensive data on streptomycin resistant Salmonella among human, animal, and animal products is lacking in Ethiopia. In this review, we aimed to assess heterogeneity and pooled proportion of Salmonella serovars to streptomycin resistance among human, animal and animal products in Ethiopia. METHODS: We conducted a systematic review and meta-analysis of published literature from Ethiopia. We used the MEDLINE/ PubMed, Embase, Cochrane Library, and Google Scholar databases to identify genetic and phenotypic data on Salmonella isolates. To determine the heterogeneity and pooled proportion, we used metaprop commands and the random-effects model. Relative and cumulative frequencies were calculated to describe the overall preponderance of streptomycin resistance isolates after arcsine-transformed data. Metan funnel and meta-bias using a begg test were performed to check for publication bias. RESULTS: Overall, we included 1475 Salmonella serovars in this meta-analysis. The pooled proportion of streptomycin resistance was 47% (95% CI: 35-60%). Sub-group analysis by target population showed that the proportion of streptomycin resistance in Salmonella serovars was 54% (95% CI: 35-73%) in animal, 44% (95% Cl: 33-59%) in humans and 39% (95% CI: 24-55%) in animals products. The streptomycin resistant Salmonella serovars were statistically increasing from 0.35(95% CI: 0.12-0.58) in 2003 to 0.77(95% CI: 0.64-0.89) in 2018. The level of multidrug-resistant (MDR) Salmonella serovars was 50.1% in the meta-analysis. CONCLUSION: We found a high level of streptomycin resistance, including multidrug, Salmonella serovars among human, animals, and animal products. This resistance was significantly increasing in the last three decades (1985-2018). The resistance to streptomycin among Salmonella serovars isolated from animals was higher than humans. This mandates the continuous monitoring of streptomycin use and practicing one health approach to preventing further development of resistance in Ethiopia. REGISTRATION: We conducted a systematic review and meta-analysis after registration of the protocol in PROSPERO (CRD42019135116) following the MOOSE (Meta-Analysis of Observational Studies in Epidemiology).

Prevention of Sexually Transmitted Infections and Associated Factors Among Night School Students in Bahir Dar City, Ethiopia.

BACKGROUND: Sexually transmitted infections (STIs) continued to be a global public health concern, primarily among adolescents in poor socioeconomic countries. This study was aimed to assess knowledge, practice, and associated factors of night school students to prevent STIs in Bahir Dar city, Northwest Ethiopia. METHODS: An institution-based cross-sectional study was conducted among 422 students randomly selected from night schools. Data were collected using a pretested structured questionnaire. Data were entered, cleaned, and analyzed using SPSS version 16 software. Descriptive statistics were used to describe study variables. A multivariable logistic regression analysis was used to identify factors associated with knowledge about STI and its prevention. The strengths of associations were described using odds ratio at 95% confidence interval and a P-value of less than 0.05. RESULTS: A total of 420 consented students were enrolled into the study. More than half, 420 (57.9%), and three-fourths, 332 (79%), of the students were women and married. Only 24.8% and 12.4% of the students had good knowledge and practice on the prevention of STIs, respectively. Age, educational status, information access, school health education, and consistent use of condoms were factors associated with the knowledge of students about STIs. Similarly, age, sex, knowledge about STIs, and discussion with families were factors of STI prevention practice among night school students. CONCLUSIONS: Giving special attention to awareness creation, information access, discussion with families, and improving family/individual income is vital to prevent STIs and its impact among night school students.

Pelvic organ prolapse in Northwest Ethiopia: a population-based study.

INTRODUCTION AND HYPOTHESIS: Epidemiological studies aimed at pelvic organ prolapse and its risk factors can help to identify women at a higher risk and therefore promote prevention strategies. We aimed to assess the prevalence of and factors associated with symptomatic prolapse. METHODS: A community-based study was conducted in Dabat district, Northwest Ethiopia. Initially, women were interviewed on their prolapse symptoms using validated questionnaires at their home. Subsequently, they were invited for pelvic examination and examined by gynecologists using the simplified pelvic organ prolapse quantification. Symptomatic prolapse was assessed by pelvic examination findings and patient-reported symptoms. Multivariate logistic regression was used to assess the factors associated with symptomatic prolapse. RESULTS: A total of 880 women were interviewed and invited for pelvic examination, of whom 824 (93.6%) showed up for examination. Of the 824 women examined, 464 (56.3%) had POP stages II-IV and 145 (17.6%) had POP stages III-IV. The overall prevalence of symptomatic prolapse was 46.7% (217 out of 464). Of these, 41.0%, 42.8%, and 3.2% accounted for stage II, III, and IV respectively. Increasing age, multiparity, and heavy lifting/carrying significantly increased the odds of developing symptomatic prolapse. CONCLUSIONS: Symptomatic prolapse affects a substantial proportion of women in the study area and increased with age. Multiparity and carrying heavy objects are associated with prolapse, all of which have the potential to be modified. More attention is needed to improve prevention, diagnosis, and treatment services to mitigate the health burden of these at-risk women.

Poor child complementary Feeding Practices in northwest Ethiopia: Finding from the Baseline Survey of Nutrition Project, 2016.

BACKGROUND: Improving infant and young child feeding practices is critical to improved nutrition, health, and development of children. Ethiopia adopted the WHO recommendations of child feeding practices and developed the national guideline. In spite of this fact, only few children start and received appropriate complementary feeding based on the recommendation. Therefore, the study aimed to determine dietary diversity score and its associated factors among under five children at Dabat Health and Demographic Surveillance System site (HDSS), northwest Ethiopia. METHODS: A cross-sectional community based study was carried out from February to June 2016. All children aged 6-59 months old who lived in HDSS site were included in the survey. Odds ratio (OR) with the corresponding 95% confidence interval (CI) was calculated to show the strength of association. Finally, variables with a P-value of < 0.05 were considered statistically significant.. RESULTS: In this study, a total of 3433 children were included. About 34.87% (95%CI: 33.27, 36.49%) of the children received adequately diversified diet. The odds of receiving adequately diversified diet was higher among children whose mother had secondary and above education (AOR = 6.51; 95%CI: 4.95, 8.56), had antenatal care (AOR = 1.90; 95%CI: 1.60, 2.26) and postnatal care visits (AOR = 1.31; 95%CI: 1.00, 1, 72), and children who feed with their family (AOR = 1.39; 95%CI: 1.17, 1.65). However, a lower dietary diversity score was observed among younger children; 6-11 months old (AOR = 0.59; 95%CI: 0.41, 0.85), and children from food insecure household (AOR = 0.76; 95%CI: 0.63, 0.92). CONCLUSIONS: Diversified diet feeding practice is low in Dabat HDSS site. Age of the child, maternal education, antenatal and postnatal care visits, and household food insecurity were significantly associated with dietary diversity of children. Hence, ensuring household food security and enhancing the coverage of maternal health care utilization are recommended to increase dietary diversity of children.