Industries are among the largest global consumers of water, with a significant portion beingconverted into industrial wastewater. Paint factories, in particular, are major contributors toenvironmental lead pollution, releasing lead (II) through untreated effluents. Exposure to lead (II)poses serious health risks, including carcinogenic effects, neurological disorders, blood-relatedcomplications, and damage to vital organs such as the liver, kidneys, and lungs. While exten-sive research has focused on lead (II) removal from synthetic wastewater, limited studies haveaddressed the application of these methods to real industrial wastewater. This study aimed toevaluate the efficiency of Noug stalk activated carbon in removing lead (II) from paint factoryeffluent under optimized conditions. Laboratory experiments were conducted to assess the per-formance of Noug stalk activated carbon in treating wastewater from a paint factory. Statisticalanalysis using Statistical Package for Social Sciences version 20 was employed, with a pairedsample t-test determining the significance of differences in lead (II) concentrations before andafter treatment, considering a p-value of

Introduction: Occupational health problems are the major issues of the world, particularly in developing countries. Sanitation workers are facing various health problems with little attention while conducting their day today activities. The review emphasizes the critical need for policies that ensure safety standards, provide proper protective gear, and establish regular health monitoring to protect workers' health and wellbeing.
Objective: The aim of the study was to assess the prevalence of respiratory symptoms and associated factors among sanitation workers in Sub-Saharan Africa.
Methods and materials: This systematic review and meta-analysis was done based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA 2020). Literatures were searched using various database like Google scholar, Science-Direct, Pub-Med (Medline), Hinari, and Google. From eligible studies, data was extracted using Microsoft excel and exported to STATA version 14 statistical software for analysis. The prevalence of respiratory symptom was estimated using a random effect model. Publication bias was determined using Egger test and funnel plot whereas heterogeneity was evaluated using I2. Fortunately, 13 studies were included with a total participants of 4,401.
Results: The pooled prevalence of respiratory symptoms among sanitation workers was 43.79% (95% CI: 35.26, 52.33; I 2 = 97.3%, p < 0.000). Sanitation workers with a history of respiratory illness were 4.16 times more likely to have had respiratory symptoms compared to those without a history (OR: 4.16, 95% CI: 2.67, 5.66). Additionally, sanitation workers who did not wear nose/mouse masks were 2.36 times more likely to experience respiratory symptoms compared to their counterparts (OR: 2.36, 95% CI: 1.40, 3.32). Moreover, Sanitation workers with working experiences of greater than five were 1.81 times more likely to experience respiratory symptoms than those with less than 5 years working experiences (OR: 1.81, 95% CI: 1.26, 2.39).
Conclusion: Generally, half of the sanitation workers experienced respiratory symptoms. The symptoms were associated with history of respiratory illness, utilizing of nose/ mouth face mask and working experience. Hence, awareness creation session should conducted mainly for those with history of respiratory illness and poor personal protective users.

Keywords:  Sub Saharan Africa; prevalence; respiratory–epidemiology; risk factors; sanitation workers; systematic review and meta-analysis.

Introduction: Tungiasis is an overlooked tropical disease resulting from the penetration of the skin by sand fleas. It leads to significant suffering and can be fatal, particularly affecting school age children and elders, primarily above 60 years old, in rural and urban slums across Sub-Saharan Africa. Despite its great public health consequences, the condition remains largely under reported by the scientific communities mainly in Sub Saharan African countries.
Objective: To assess the prevalence of Tungiasis and associated factors among school-age children in Sub-Saharan Africa.
Methods and materials: This systematic review and meta-analysis was done based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA 2020). Literatures were searched from a variety of databases, including PubMed, Science-Direct, Google Scholar, Hinari, and Google. The eligible studies data were extracted using Microsoft Excel and exported to statistical software, STATA version 14 for further analysis. A random-effect model was considered to estimate the prevalence of Tungiasis. The Egger test and funnel plot were used to evaluate publication bias, whereas I2 statistic was used to measure heterogeneity. The finding of this SRMA was done using 23 selected studies with 9781 study participants.
Results: This review revealed that the pooled prevalence of Tungiasis was 37.86%% (95% CI: 30.95-44.77; I2 = 98.3%, P < 0.000). In terms of risk factors of Tungiasis, school children who lived with domestic animals (cat or dog) in their home were 2.73 times more likely to affected by Tungiasis compared to those without these pets in their home (OR: 2.73, 95% CI: 1.53-3.94). Additionally, school age children who did not wear shoes at all and wear occasionally were 11.26 (AOR: 11.26, 95% CI: 4.04, 18.49) and 7.61 (OR: 7.61, 95% CI: 3.39, 11.83) more likely to affected by Tungiasis compared to those who were regularly. Finally, school-age children who lived in mud-plastered walls were 4.97 times more likely to be affected by Tungiasis compared to those who lived in cemented wall homes (OR: 4.97, 95% CI: 2.61, 4.61).
Conclusion:  Generally, this systematic review and meta-analysis disclosed that a third of school age children were affected by Tungiasis. Additionally, housing conditions, shoe-wearing practices, and the condition of living with domestic animals were factors significantly associated with Tungiasis. Hence, concerned governmental and non-governmental organizations should work to enhance behavioral modification towards prevention and control of Tungiasis. One-third of the school-aged children were affected by Tungiasis. Contributing factors included inadequate housing conditions, footwear habits, and the presence of domestic animals. Therefore, relevant governmental and non-governmental organizations should promote behavioral changes to prevent and control Tungiasis.

BACKGRouNd: Trachoma is the leading infectious cause of blindness worldwide, particularly impacting the poorest nations, includingEthiopia.oBjECTivE: To assess knowledge, practice, and associated factors of trachoma transmission and prevention among primary school stu-dents in Addis Zemen town, South Gondar, Northwest Ethiopia, 2022.METhodS: An institution-based cross-sectional study was conducted on 407 randomly selected primary school students (grades 5-8),aged 10 to 24 years. Data collection included face-to-face interviews using structured questionnaires and an observation checklist. Epi-dataversion 4.2.0.0 and SPSS version 20 were used to enter and analyze the collected data, respectively. The data were analyzed using thedescriptive statistical method and using bivariable and multivariable logistic regression models. Variables with a P-value

Background: Digital health data hubs contribute significantly to finding the right solutions to health problems, which forms the basis for achieving sustainable development goals. However, in Ethiopia, the health system has been coming to one central hub for all data, there is limited evidence of health professionals' intentions to use these systems. Understanding their intentions is crucial, as this can significantly improve the advancement of digital health in healthcare organizations. This study assessed health professionals' intention to use digital health data hubs in hospitals in East Gojjam, northwest Ethiopia, in 2024.
Methods: A cross-sectional study design was used to conduct the study. Eleven hospitals were included in the study area. Using an a priori structural equation modeling sample size calculator, the total sample size was 616. Stratified proportional allocation sampling was performed. The study participants were selected using a systematic sample. Structural equation modeling (SEM) was used for the analysis. Because it is a more powerful multivariate technique for testing and evaluating multivariate causal relationships. The assumptions of SEM-like normality, average variance extracted (AVE), composite reliability (CR), Cronbach's alpha, confirmatory factor analysis (CFA), and model specifications were checked using Amos and Stata version 16.
Results: This study was conducted with a sample size of 616 healthcare professionals; 591 (95.94%) responded to the survey. The results showed that 57.69% (n = 341) of the healthcare professionals intended to use the digital health data hub. Further analysis showed that perceived usefulness (PU: β = 0.576, p = 0.000), perceived trust (PT: β = 0.116, p = 0.022), and attitude (β = 0.143, p = 0.043) significantly and positively influenced health professionals' intention to use digital health data hubs.
Conclusion:  Overall, the findings showed that 42.31% of health professionals have low intention to use digital health data hubs. These shall be needed to improve their intentions to use digital health data hubs through targeted interventions. Therefore, focusing on critical factors, such as perceived usefulness, trust, and attitude are crucial factors to reinforce their intention to use the system. Additionally, overcoming implementation challenges and building trust is critical to the successful integration and use of digital health data hubs.

Introduction Protecting digital health data from unauthorized access, alteration, and destruction is a crucial aspectof healthcare digitalization. Currently, digital security breaches are becoming more common. Healthcare databreaches have compromised over 50 million medical records per year. In Ethiopia, health digitization has growngradually. However, there is a limitation of study in digital health security. Studying digital health data security helpsindividuals protect digital data as a baseline and contributes to developing a digital health security policy.Objective To assess the practice of healthcare professionals in digital health data security among specializedteaching referral hospitals in Amhara Region, Ethiopia.Method A cross-sectional study design supplemented by a qualitative purposive sampling method was usedto measure the digital data security practices of health professionals. The sample size was determined via singlepopulation proportion formula. A simple random sampling technique was used for the study participants. Then, self-administered questionnaires were administered. Multivariable logistic analysis was used to identify associated factorsusing STATA software. For the qualitative study, key informant interviews were used and analyzed using thematicanalysis approach via open-code software.Results Out of the 423 health professionals, 95.0% were involved in the survey. The finding indicates digital healthdata security practice of health professionals working at specialized teaching hospitals were 45.0%, CI: (40, 50). Healthprofessionals 41–45-year age group (AOR = 0.107), master’s degree (AOR = 2.45), postmaster’s degree (AOR = 3.87),time to visit the internet for more than two hours (AOR = 2.46), basic computer training (AOR = 2.77), training indigital data security (AOR = 2.14), and knowledge (AOR = 1.76) were associated with the practice of digital health datasecurity. For the qualitative study, three teams were prepared. The findings indicate digital health data security can beimproved through training, advanced knowledge and working with digital security.
Conclusion The practice of digital health data security in specialized teaching hospitals in the Amhara region wasinadequate. Therefore, it can be improved through enhancing education status, increasing the time needed to visitthe internet, providing computer training, and updating health professionals’ knowledge toward digital health datasecurity.Keywords Practice, Digital health, Digital data security, Health profession

Background: Big health data is a large and complex dataset that the health sector has collected andstored continuously to generate healthcare evidence for intervening the future healthcare un-certainty. However, data use for decision-making practices has been significantly low in devel-oping countries, especially in Ethiopia. Hence, it is critical to ascertain which elements influencethe health sector’s decision to adopt big health data analytics in health sectors. The aim of thisstudy was to identify the level of readiness for big health data analytics and its associated factorsin healthcare sectors.Methods: A cross-sectional study design was conducted among 845 target employees using thestructural equation modeling approach by using technological, organizational, and environ-mental (TOE) frameworks. The target population of the study was health sector managers, di-rectors, team leaders, healthcare planning officers, ICT/IT managers, and health professionals.For data analysis, exploratory factor analysis using SPSS 20.0 and structural equation modelingusing AMOS software were used.Result: 58.85 % of the study participants had big health data analytics readiness. Complexity (CX),Top management support (TMS), training (TR) and government law policies and legislation(GLAL) and government IT policies (GITP) had positive direct effect, compatibility (CT), andoptimism (OP) had negative direct effect on BD readiness (BDR)Conclusion: The technological, organizational, and environmental factors significantly contributedto big health data readiness in the healthcare sector. The Complexity, compatibility, optimism,Top management support, training (TR) and government law and IT policies (GITP) had effect onbig health data analytics readiness. Formulating efficient reform in healthcare sectors, especially
or evidence-based decision-making and jointly working with stakeholders will be more relevantfor effective implementation of big health data analytics in healthcare sectors.
Keywords: Big health data, Data analytics, Data management, Health information revolution, Health sectors, Readiness

Introduction: Currently, mortality by non-communicable diseases is increasing alarmingly. They account for approximately 35 million deaths each year, of which 14% are due to cardiovascular disease and 9.2% occur in Africa. Patients do not have access to healthcare services outside the healthcare setting, resulting in missed follow-ups and appointments and adverse outcomes. This study aimed to assess the willingness to use remote monitoring among cardiovascular patients in a resource-limited setting in Ethiopia.
Method: An institution-based cross-sectional study was conducted from April to June 2021 among cardiovascular patients at referral hospitals in Ethiopia. A structured interview questionnaire was used to collect the data. A systematic random sampling technique was used to select 397 study participants. Binary and multivariable logistic regression analyses were employed and a 95% confidence level with a p-value

Background
Digital health is a new health field initiative. Health professionals require security in digital places because cybercriminals target health care professionals. Therefore, millions of medical records have been breached for money. Regarding digital security, there is a gap in studies in limited-resource countries. Therefore, surveying health professionals’ attitudes toward digital health data security has a significant purpose for interventions.


Objective
This study aimed to assess the attitudes of health professionals toward digital health data security and their associated factors in a resource-limited country.


Methods
A cross-sectional study was conducted to measure health professionals’ attitudes toward digital health data security. The sample size was calculated using a single population. A pretest was conducted to measure consistency. Binary logistic regression was used to identify associated factors. For multivariable logistic analysis, a P value ≤.20 was selected using Stata software (version 16; StataCorp LP).


Results
Of the total sample, 95% (402/423) of health professionals participated in the study. Of all participants, 63.2% (254/402) were male, and the mean age of the respondents was 34.5 (SD 5.87) years. The proportion of health professionals who had a favorable attitude toward digital health data security at specialized teaching hospitals was 60.9% (95% CI 56.0%‐65.6%). Educational status (adjusted odds ratio [AOR] 3.292, 95% CI 1.16‐9.34), basic computer skills (AOR 1.807, 95% CI 1.11‐2.938), knowledge (AOR 3.238, 95% CI 2.0‐5.218), and perceived usefulness (AOR 1.965, 95% CI 1.063‐3.632) were factors associated with attitudes toward digital health data security.


Conclusions
This study aimed to assess health professionals’ attitudes toward digital health data security. Interventions on educational status, basic computer skills, knowledge, and perceived usefulness are important for improving health professionals’ attitudes. Improving the attitudes of health professionals related to digital data security is necessary for digitalization in the health care arena.

Introduction: Growth monitoring and promotion services are strategies to promote child health and reduce child mortality. Even though Ethiopia is attempting different strategies to cope with the low rate of GMP utilization, the problem is still unresolved.
Objective: Determine the pooled proportion of GMP utilization and its contributing factors among children less than two years in Ethiopia.
Method: The review protocol was registered with PROSPERO, number CRD42023472746. The PRISMA-2020 statement guided the conduct of this review. Electronic databases and grey literature were used. Heterogeneity was evaluated using I2. Subgroup analysis was conducted. The random effect model was used to summarize the pooled effect sizes with their respective 95% CI with STATA version 17. To test the small study effect, the funnel plot and Egger’s test were applied.
Result: A total of seven (7) studies with 4027 participants were considered in this meta-analysis. The pooled proportion of GMP utilization reported by seven studies was 25.71% (95%CI: 24.39, 27.04). ANC follow-up (AOR = 2.11; 95% CI: 1.47, 2.76), PNC follow-up (AOR = 1.96; 95% CI: 1.44, 2.49), counseling (AOR = 2.88; 95% CI: 2.09, 3.68), maternal education (AOR = 2.89; 95% CI: 1.66, 4.13), paternal education (AOR = 3.78; 95% CI: 2.25, 5.32), family health card (AOR = 2.31; 95% CI: 1.67, 2.96), and mothers good knowledge towards GMP (AOR = 2.90; 95% CI: 1.72, 4.07) variables were positively associated with GMP service utilization.
Conclusion and recommendation: The pooled proportion of GMP remains low in Ethiopia. ANC and PNC follow-up, counseling, maternal and paternal education, family health cards, maternal knowledge towards GMP were significantly associated. Findings are essential for evidence-based policy making, intervention, and input for ongoing research.