Time management practice and associated factors among health professionals working in public and private hospitals in Dessie City, Northeast Ethiopia: a comparative cross-sectional study.

Background: Time management is a widely ignored concern in all types of organizations, including the healthcare system, despite its crucial role in the achievement of personal and organizational goals. Therefore, determining the practice of time management and its associated factors among health professionals is of paramount importance. Objective: We aimed to assess time management practice and associated factors among health professionals working in public and private hospitals in Dessie City, Northeast Ethiopia. Methods: A comparative cross-sectional study was conducted from 24 March to 24 April 24 2021 among 660 health professionals (220 from private hospitals and 440 from public hospitals), who were randomly selected using a stratified sampling technique. A self-administered questionnaire was used to collect data. A multivariable binary logistic regression model was run separately for public and private hospitals. A p-value of < 0.05 and a 95% confidence interval were reported to be statistically significant. Results: A total of 615 participants responded to the survey, which resulted in a response rate of 93.2%. The magnitude of good time management practice among health professionals in both public and private hospitals was reported to be 57.1% (95% CI: 53.5-60.8%). However, the magnitude differed between public [50.1% (95% CI:45.5-54.7%)] and private hospitals [70.9% (95% CI: 63.5-76.7%)]. Living with families (AOR: 5.39, 95% CI: 1.84-15.77), satisfaction with compensation and benefits (AOR: 7.83, 95% CI: 1.97-31.16), satisfaction with work autonomy (AOR: 7.10, 95% CI: 1.94-25.95), and having a good plan (AOR: 3.42, 95% CI: 1.15-10.13) were statistically significant predictors of time management practice in private hospitals. Satisfaction with an organizational policy and strategy (AOR: 2.34, 95% CI: 1.25-4.36), performance appraisal (AOR: 1.95, 95% CI: 1.13-3.36), work autonomy (AOR: 1.92, 95% CI: 1.12-3.27), and the good approach of employees toward time (AOR: 2.12, 95% CI: 1.26-3.58) were statistically significant predictors of time management practice in public hospitals. Conclusion: The magnitude of a good time management practice in public and private hospitals in the study area was low. The practice was observed to be higher in private hospitals than in public hospitals. The study revealed that the magnitude and associated factors of time management practice vary between hospitals, indicating the need for targeted intervention.

Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia.

In developing countries, one-quarter of young women have suffered from anemia. However, the available studies in Ethiopia have been usually used the traditional stastical methods. Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of anemia among youth girls in Ethiopia. A total of 5642 weighted samples of young girls from the 2016 Ethiopian Demographic and Health Survey dataset were utilized. The data underwent preprocessing, with 80% of the observations used for training the model and 20% for testing. Eight machine learning algorithms were employed to build and compare models. The model performance was assessed using evaluation metrics in Python software. Various data balancing techniques were applied, and the Boruta algorithm was used to select the most relevant features. Besides, association rule mining was conducted using the Apriori algorithm in R software. The random forest classifier with an AUC value of 82% outperformed in predicting anemia among all the tested classifiers. Region, poor wealth index, no formal education, unimproved toilet facility, rural residence, not used contraceptive method, religion, age, no media exposure, occupation, and having more than 5 family size were the top attributes to predict anemia. Association rule mining was identified the top seven best rules that most frequently associated with anemia. The random forest classifier is the best for predicting anemia. Therefore, making it potentially valuable as decision-support tools for the relevant stakeholders and giving emphasis for the identified predictors could be an important intervention to halt anemia among youth girls.

Prevalence of chronic kidney disease and its associated factors among diabetes mellitus patients in Dessie Referral Hospital, South Wollo, Ethiopia.

Diabetes mellitus shares a large proportion of kidney failure. Despite many patients suffering from diabetes mellitus and its complications in Dessie City, no study was conducted in the study area that shows the prevalence and associated factors of chronic kidney disease among diabetes mellitus patients. Therefore, this study aims to assess the prevalence of chronic kidney disease and its associated factors among adult diabetes mellitus patients attending Dessie Referral Hospital, South Wollo, Northeast Ethiopia. An institutional-based cross-sectional study was conducted at Dessie Referral Hospital among 267 randomly selected adult diabetic patients. Data were collected using questionnaires administered by interviewers. The glomerular filtration rate was estimated from serum creatinine levels. Data were entered into Epi-data version 4.6 and analyzed using SPSS version 26 software. Multi-variable logistic regression was used to determine the strength of association for the associated factors of chronic kidney disease. Variables with a p value < 0.05 were used to ascertain statistically significant associations. A total of 267 diabetic patients participated in this study. About 104 (39%) of the respondents were female and from the total, 133 (48.1%) were hypertensive. The overall prevalence of chronic kidney disease in this study was 31.5% (95% CI 25.3-37.1%). Being older (p-value = 0.003) and having hypertension (p-value = 0.043) were significant factors for chronic kidney disease among diabetes mellitus patients. This study found a high prevalence (31.5%) of chronic kidney disease among diabetic patients. Older age, having hypertension, and elevated serum creatinine were statistically significant associated factors of chronic kidney disease among patients with diabetes mellitus. Thus, clinicians should be aware of the high prevalence of chronic kidney disease in Dessie City. Moreover, emphasis should be given for old age and hypertension as contributing factors to the high prevalence in diabetic patients.

Prevalence of misconception about HIV/AIDS transmission and associated factors among reproductive age women in Ethiopia: a nationwide study.

BACKGROUND: Misconceptions and myths are still the bottlenecks for the prevention of HIV/AIDS transmission in developing countries. This study aimed to assess the prevalence and associated factors of misconception about HIV transmission among reproductive age groups using the most recently available Ethiopian Demographic and Health Surveydata. METHODS: A cross-sectional study design was done using the Ethiopian Demographic and Health Survey 2016 data set. The data analysis was conducted using  Statistical Package for Social Sciences version 25. Multivariable logistic regression analysis was done to identify associated factors of misconception about HIV/AIDS transmission. A p-value of < 0.05 and an adjusted odds ratio with a 95% confidence interval were considered to confirm a statistically significant association. RESULTS: From the sample of 11,425 reproductive-age women, the prevalence of misconception about HIV/AIDS transmission among reproductive-age women in Ethiopia was 27.47%. Women residing in rural area [AOR:1.24; 95% CI: 1.03-1.75] compared to urban resident participants, attended primary education [AOR:0.58;95%CI: 0.49-0.68], attended secondary education [AOR:0.36;95%CI:0.29-0.46], attended higher education [AOR:0.24;95%CI: 0.18-0.32] compared to those participants without education, had history of HIV test [AOR:0.77; 95%CI: 0.67-0.88] compared to their counterpart, respondents living in Amhara region [AOR:0.44:95% CI:0.35-0.54], Benishangul [AOR: 0.34; 95% CI: 0.25-0.46], SNNPR [AOR:0.50; 95% CI: 0.38-0.67], Gambela [AOR:0.57; 95% CI: 0.42-0.79], Harari [AOR:0.62; 95% CI: 0.46-0.82], Addis Ababa [AOR:0.63; 95% CI: 0.49-0.81] compared to those living in Tigray and having richest wealth status[AOR:0.57;95% CI: 1.457-4.078] compared to those whose wealth index was poorest were significantly associated with the misconception about HIV transmission. CONCLUSION: Over all the prevalence of misconception about HIV/AIDS transmission among reproductive-age women in Ethiopia was high. Residence, educational level, wealth index, region, and respondents who ever tested for HIV were significantly associated with the misconception about HIV/AIDS transmission. This high misconception could affect HIV/AIDS transmission and its prevention strategies unless timely and appropriate intervention should be taken. Strengthening strategies aimed at maximizing HIV/AIDS testing, scaling up educational status, and emphasizing regional-wide interventions might have a substantial contribution.

The application of machine learning approaches to determine the predictors of anemia among under five children in Ethiopia.

Health professionals need a strong prediction system to reach appropriate disease diagnosis, particularly for under-five child with health problems like anemia. Diagnosis and treatment delay can potentially lead to devastating disease complications resulting in childhood mortality. However, the application of machine learning techniques using a large data set provides scientifically sounded information to solve such palpable critical health and health-related problems. Therefore, this study aimed to determine the predictors of anemia among under-5 year's age children in Ethiopia using a machine learning approach. A cross-sectional study design was done using the Ethiopian Demographic and Health Survey 2016 data set. A two-stage stratified cluster sampling technique was employed to select the samples. The data analysis was conducted using Statistical Package for Social Sciences/SPSS version 25 and R-software. Data were derived from Ethiopian Demographic and Health Survey. Boruta algorism was applied to select the features and determine the predictors of anemia among under-5 years-old children in Ethiopia. The machine learning algorism showed that number of children, distance to health facilities, health insurance coverage, youngest child's stool disposal, residence, mothers' wealth index, type of cooking fuel, number of family members, mothers' educational status and receiving rotavirus vaccine were the top ten important predictors for anemia among under-five children. Machine-learning algorithm was applied to determine the predictors of anemia among under- 5 year's age children in Ethiopia. We have identified the determinant factors by conducting a feature importance analysis with the Boruta algorithm. The most significant predictors were number of children, distance to health facility, health insurance coverage, youngest child's stool disposal, residence, mothers' wealth index, and type of cooking fuel. Machine learning model plays a paramount role for policy and intervention strategies related to anemia prevention and control among under-five children.

Time management practice and associated factors among employees working in public health centers, Northwest Ethiopia: a mixed method study.

BACKGROUND: While progressing towards universal health coverage, poor time management in the healthcare system had significant effect on an individual such as imbalance, job dissatisfaction, and work ineffectiveness and finally poor productivity of the organization will be resulted. Information about time management practice in the healthcare system is limited. Therefore, the objective of this study was to assess time management practice and associated factors among employees working in public health centers, Dabat District, Northwest Ethiopia. METHODS: A facility-based cross-sectional mixed methods (quantitative and qualitative) study was conducted in Dabat District from May 27 to June 22, 2022. A simple random sampling technique was used to select 413 study subjects and for the qualitative data, six key informants were selected. Self-administered questionnaire was used for the quantitative study, and an interview guide was employed for the qualitative study. Epi-data version 4.6 and SPSS 26 software were used for data entry and analysis, respectively. Open Code 4.6 software was used for qualitative data analysis. Variables with p-value of < 0.05 in multivariable analysis were considered as significant associated factors. RESULTS: A total of 396 employees participated in the study with a response rate of 95.8%. The result showed that overall, 54.8% (95% CI: 49.5-59.6) of health employees had practiced good time management. The likelihood of good time management was higher among those health workers who had planning experience (AOR = 2.04, 95% CI: 1.22-3.4), low procrastination habit (AOR = 1.65 95% CI: 1.04-2.65), satisfied with performance appraisal (AOR: 1.7, 95% CI: 1.05-2.81), and satisfied with organizational policy and strategy (AOR: 2.6, 95% CI: 1.6-4.3). The qualitative result also showed that the existing performance appraisal practices were not linked to rewards or sanction planning. CONCLUSION: The overall time management practice of public health center employees was low compared with prior studies. Organizational policies, prior planning experience, procrastination, and performance appraisal were all significantly associated factors with time management practice. Therefore, health center managers need to set an intervention to address all of the following factors to enhance employees' time management skills at public health centers like evidence-based performance appraisals, sharing organizational policies, and engaging in capacity building activities such as training in time management and planning.

Prevalence of myopia in school-age children in Ethiopia: A systematic review and meta-analysis.

Objective: This study aimed to estimate the pooled prevalence of myopia among school-age children in Ethiopia. Methods: Eligible articles were searched from PubMed, Embase, and Web of Science databases. In addition, Google Scholar and reference lists of the retrieved articles were searched from 30 July 2022 to 02 January 2023. The preferred reporting of items for systematic reviews and meta-analysis was used to report the search results. Microsoft Excel was used to keep the data. The qualities of eligible studies were checked using the Joanna Briggs Institute critical appraisal checklist for prevalence studies. Analysis was held using STATA Version 11. The degree of heterogeneity was checked using I² statistics. The possible sources of heterogeneity were examined using meta-regression and subgroup analyses. The funnel plot and Egger's test were used to assess the potential publication bias. A correction was made for publication bias using Duval and Twee Die's trim-and-fill analysis. The systematic review registration number is PROSPERO (#CRD42022330541). Results: We identified 21 eligible articles including 20,757 subjects. Of those participants, 10,601 (51.1%) and 10,156 (48.9%) were males and females, respectively. A total of 15,152 (73%) participants were urban residents. The estimated prevalence of myopia among school-age children in Ethiopia was found to be 5.26% (95% confidence interval: 4.09-6.42). Conclusions: The prevalence of myopia among school-age children in Ethiopia is considerable, affecting one in 20 school-age children. Therefore, the authors recommend the stakeholders take extra steps to speed up the implementation of the school vision screening program and its integration plan into the existing school nutrition program.

Assessment of magnitude and associated factors of attitude towards time management among health professionals working in public hospitals of Dessie City, Northeast Ethiopia.

BACKGROUND: Good attitude towards to time management is the backbone to bring a change at individual and organizational levels in different sectors across the globe. But it has been ignored by different institutions, particularly in low and middle-income countries including Ethiopia. However, this can be alleviated if there are punctual, committed, and accessible health professionals that could translate the national aspirations and the desire of the community into reality. This study aims to determine the magnitude and associated factors of attitude towards time management among health professionals working in public hospitals of Dessie City, Northeast Ethiopia, METHODS: Institution-based cross-sectional study was conducted from March 24 -April 24, 2021 among 409 health professionals using a stratified sampling technique, Frequency and percentage were used to describe the study population. Multivariable logistic regression analysis was used to identify independent predictors. A p-value of < 0.05 with 95% CI were used to declare statistically significant associations. RESULTS: The overall good time management attitude among sample was 67%(95%CI:66.77-67.22%). Satisfaction with organizational policy and strategy (AOR: 2.69, 95%CI: 1.42-5.09), satisfaction with supervisor support (AOR: 2.12, 95% CI: 1.19-3.77), and managers' good attitude towards time management (AOR: 2.00, 95%CI: 1.23-3.25) were significantly associated with good attitude towards time management among health professionals. CONCLUSION: The attitude towards time management in public hospitals of Dessie City was low. Satisfaction with organizational policies and strategies, satisfaction with supervisor support, and managers' good attitude towards time management were delineated factors. This low attitude towards time management could affect the practice and it compromise the health service coverage and quality unless timely and appropriate interventions should be taken. Strengthening strategies aimed at maximizing job satisfaction and emphasizing an attitude towards time might have a substantial contribution.

Systematic review and meta-analysis protocol for development and validation of a prediction model for gestational hypertension in Africa.

Objective: Examining the development and validation of predictive models for gestational hypertension, evaluating the validity of the methodology, and investigating predictors typically employed in such models. Design: Systematic review and meta-analysis protocol. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) guideline will be used to carry out the study procedure. Using the key phrases "Gestational hypertension," "prediction, risk prediction," and "validation," a full systematic search will be conducted in PubMed/MEDLINE, Hinari, Cochrane Library, and Google Scholar. The methodological quality of the included studies will be evaluated using the prediction model risk of bias assessment tool. The CHARMS (checklist for critical evaluation and data extraction for systematic reviews of prediction modeling research) will be used to extract the data, and STATA 16 will be used to analyze it. The degree of study heterogeneity will be assessed using Cochrane I2 statistics. Discussion: A subgroup analysis will be performed to reduce the variance between primary studies. To examine the impact of individual studies on the pooled estimates, a sensitivity analysis will be performed. The funnel plot test and Egger's statistical test will be used to assess the small study effect. The presence of a modest study effect is shown by Egger's test (p-value 0.05), which will be handled by nonparametric trim and fill analysis using the random-effects model. The protocol has been registered in the PROSPERO-International Prospective Register of systematic reviews, with the registration number CRD42022314601.

Time to recovery from neonatal sepsis and its determinants among neonates admitted in Woldia comprehensive specialized hospital, Northeast Ethiopia: a retrospective cohort study.

Background: Neonatal sepsis is the most serious problem in neonates. It is the leading cause of neonatal death in developing countries, particularly in sub-Saharan Africa. The Ethiopian 2016 Demographic Health Survey report revealed that a high number of neonatal deaths are associated with neonatal sepsis. However, limited studies are available on exposure and time to recovery inferences in Ethiopia. Therefore, this study aimed to assess the time to recovery from neonatal sepsis and its determinants among neonates admitted to Woldia Comprehensive Specialized Hospital (WCSH), Northeast Ethiopia. Methods: A retrospective cohort study was conducted, including 351 neonates, using systematic random sampling at WCSH from 7 to 30 March 2023. The data were entered into Epi data version 4.6 and exported to STATA 14 for analysis. Cox regression was used to identify the determinants of time to recovery from neonatal sepsis, and a variable with a p-value of less than 0.05, was used to declare significant association at a 95% confidence interval. Result: Among 351 neonates with sepsis, 276 (78.63%) recovered, and the median time to recovery was 6 days. Induced labor (AHR = 0.54, 95% CI: 0.369, 0.78) and resuscitation at birth (AHR = 0.7, 95% CI: 0.51, 0.974) were significantly associated with the recovery time of neonatal sepsis. Conclusions and recommendation: The time to recovery from neonatal sepsis is comparable to previous studies' results. The 25th and 75th percentiles were 4 and 8 days, respectively. Health professionals working in the NICU need to pay special attention to neonates born from mothers who had induced labor and those who were resuscitated at birth.

Essential maternal health service disruptions in Ethiopia during COVID 19 pandemic: a systematic review.

INTRODUCTION: COVID 19 pandemic has challenged the resilience of the most effective health systems in the world. The Ethiopian Ministry of health tried to ensure the continuation of essential maternal health services during the pandemic. Despite several individual studies conducted on the impact of COVID 19 on maternal health services, no evidence can summarize the extent of impact as a nation and which essential maternal health service is most affected. METHOD: A systematic review was conducted to summarize the extent of disruption of essential maternal health services and identify the most affected service in the era of the COVID pandemic in Ethiopia. Preferred Reporting Items for Systematic Review and Meta-analysis guidelines were followed. Comprehensive literature was searched using international databases PubMed, Google scholar, and African Online Journal to retrieve related articles. Descriptive analysis was made to answer the review objective. RESULT: Overall, 498 articles were retrieved using our search strategy and finally 8 articles were included in the review. We found, ANC (26.35%), skilled birth attendance (23.46%), PNC (30%), family planning (14%), and abortion care (23.7%) maximum disruption of service utilization due to the pandemic. PNC service was the most significantly affected service unit followed by the ANC unit. CONCLUSION: Essential maternal health services have been significantly disrupted due to COVID 19 pandemic in Ethiopia. It is expected from all stakeholders to prioritize safe and accessible maternity care during the pandemic and the aftermath and take lesson to reduce maternal and infant morbidity and mortality.

Clinical Prediction Model Development and Validation for the Detection of Newborn Sepsis, Diagnostic Research Protocol.

Background: Neonatal sepsis is a leading cause of sickness and death in the entire world. Diagnosis is usually difficult because of the nonspecific clinical symptoms and the paucity of laboratory diagnostics in many low- and middle-income nations (LMICs). Clinical prediction models may increase diagnostic precision and rationalize the use of antibiotics in neonatal facilities, which could lead to a decrease in antimicrobial resistance and better neonatal outcomes. Early detection of newborn sepsis is critical to prevent serious consequences and reduce the need for unneeded drugs. Objective: The aim is to develop and validate a clinical prediction model for the detection of newborn sepsis. Methods: A cross-sectional study based on an institution will be carried out. The sample size was determined by assuming 10 events per predictor, based on this assumption, the total sample sizes were 467. Data will be collected using a structured checklist through chart review. Data will be coded, inputted, and analyzed using R statistical programming language version 4.0.4 after being entered into Epidata version 3.02 and further processed and analyzed. Bivariable logistic regression will be done to identify the relationship between each predictor and neonatal sepsis. In a multivariable logistic regression model, significant factors (P< 0.05) will be kept, while variables with (P< 0.25) from the bivariable analysis will be added. By calculating the area under the ROC curve (discrimination) and the calibration plot (calibration), respectively, the model's accuracy and goodness of fit will be evaluated.

Uptake of premarital HIV testing and associated factors among women who had autonomous versus non autonomous marriage in Ethiopia: A nationwide study.

BACKGROUND: Premarital HIV testing offers an opportunity where prospective couples can know their HIV status before marriage to prevent both heterosexual and vertical transmission of HIV. Therefore, this study aimed to determine whether there is any significant difference in the prevalence of premarital HIV testing among women who had autonomous versus non-autonomous marriage, and to investigate the factors associated with premarital HIV testing among women who had autonomous versus non-autonomous marriage in Ethiopia. METHODS: Data were extracted from 2016 Ethiopia Demographic and Health Survey dataset and analyzed by using SPSS version 20. Frequencies and weighted percentage of the variables, and second-order Rao-Scott statistic were computed. Multivariable logistic regression analysis was used to identify factors between the two groups. An adjusted odds ratio with 95% confidence interval was considered to state statistically significant associations. RESULT: From 9602 included sample, 4,043 (42.1%) of the women had autonomous marriage, and 5,559(57.9%) of the women had non-autonomous marriage. The prevalence of premarital HIV testing in Ethiopia among women who had autonomous marriage was 30.5% (95% CI: 27.7-33.4%) compared to 20.6% (95% CI: 18.5-22.8) among women who had a non-autonomous marriage. No differences in associated factors were found between women who had autonomous versus non autonomous marriage to uptake HIV testing. In both groups, residence in rural area, education attainment (primary, secondary, higher), media access, being rich and richest, knowing the places for HIV testing, chewing chat, and drinking alcohol were significantly predicts premarital HIV testing. CONCLUSION: The study indicated that 10% more women in autonomous marriage tested for HIV relative to non-autonomous women whilst being an urban resident, educated, having access to media, household wealth and knowledge of testing facilities significantly predict HIV testing among women in Ethiopia. The paper recommends the Ethiopian government shall expand access to education among women while improving their access to media to enhance their socioeconomic wellbeing and health. Furthermore, it is better to inspire women to undergo autonomous marriage by fostering education in the community to enhance premarital HIV testing.

Does previous circumcision and wealth index influence women's attitude to discontinue the practice of female genital mutilation and cutting (FGM/C) in Ethiopia?

INTRODUCTION: understanding women's attitudes towards female genital mutilation is an important step towards eliminating this practice. We used the 2016 Ethiopia Demographic and Health Survey (EDHS) data set to examine the relationship between wealth index, and previous history of circumcision on women's opinions whether female genital mutilation (FGM) should be continued or stopped in Ethiopia. METHODS: Data from 6984 women aged 15-49 years were extracted from the 2016 Ethiopia EDHS data set. Multivariable logistic regression analysis was performed to analyse the data. RESULT: In this study, women with a higher level of education and wealth index were more likely to support the cessation of FGM. However, circumcised women (AOR: 0.22; 95% CI: 0.15-0.32), women from the Afar region (AOR: 0.34; 95% CI: 0.22-0.50), Somali region (AOR: 0.42; 95% CI: 0.27-0.65), and Dire Dawa region (AOR: 0.51; 95% CI: 0.32-0.83) were less likely to support discontinuation of FGM. CONCLUSION: The present study revealed that wealth index, education level, history of circumcision, and regional variation are associated with women's attitude towards discontinuation of the practice of FGM in Ethiopia. Empowering women in terms of socioeconomic status and education can change attitudes and might help prevent female genital mutilation in the future. Furthermore, interventions targeting FGM practices should focus on regional variance in order to have a meaningful impact on reducing this harmful cultural practice in Ethiopia.

The health belief model's ability to predict COVID-19 preventive behavior: A systematic review.

Objective: The health belief model specifies that individuals' perceptions about particular behavior can predict the performance of respective behavior. So far, the model has been used to explain why people did not follow COVID-19 preventive behavior. Although we are using it, to our best knowledge, its predictive ability in COVID-19 preventive behavior is unexplored. So, this review aimed to assess the model's predictive ability and identify the most frequently related construct. Method: A systematic review was conducted to examine the predictive ability of health belief model in COVID-19 preventive behavior using research done all over the world. Preferred reporting items for systematic review and meta-analysis guidelines were used. Comprehensive literature was searched using databases such as PubMed, Google scholar, and African Online Journal to retrieve related articles. Descriptive analyses such as the proportion of studies that better explained COVID-19 prevention behavior and the significance ratio of each construct of the model were made. Result: Overall, 1552 articles were retrieved using a search strategy and finally 32 articles fulfilling the inclusion criteria undergo the review. We found that in the majority (87.5%) of the studies health belief model has a good predictive ability of COVID-19-related behavior. Overall the explained variance for health belief model ranged from 6.5% to 90.1%. The perceived benefit was the most frequently significant predictor; highest significance ratio (96.7%) followed by self-efficacy, cues to action perceived barrier, susceptibility, and severity in decreasing order. Conclusion: Health belief model has a good predictive ability of COVID-19-related behavior in the majority of reviewed studies. The perceived benefit was the most frequently significant predictor of COVID-19-related behavior. Professionals who are in need can effectively use health belief model in planning and designing interventions to prevent and control the pandemic.

Bio-sorption for effective removal of chromium(VI) from wastewater using Moringa stenopetala seed powder (MSSP) and banana peel powder (BPP).

Chromium is an extremely toxic metal in the form of Cr(VI) that causes severe environmental and health problems. Therefore, the aim of this study was to remove chromium ions from wastewater by using cost effective and environmentally friendly bio-sorbents; Moringa stenopetala seed powder (MSSP), and banana peel powder (BPP) and to evaluate its adsorption capacities as bio-sorbents. FT-IR characterization of the adsorbents showed that there was a change in the functional groups of the structure of both adsorbents before and after the adsorption that might be due to the adsorption processes taken place on the surface of adsorbent. Adsorption experiments were carried out as batch studies with different contact times, pH, adsorbent dose, initial metal ion concentration, and temperature. Results showed maximum removal efficiency for Cr(VI) at 120 min contact time, adsorbent dose of 20 g/L and pH 2 by MSSP and pH 4 by BPP. The percentage removal of Cr(VI) increased with increasing adsorbent dose (from 5 to 20 g/L) and contact time (from 60 to 120 min). Freundlich isotherm model showed a better fit to the equilibrium data than the Langmuir model. The kinetics of adsorption for chromium was well represented by pseudo-second order kinetic model and the calculated equilibrium sorption capacity of the model showed good agreement with the sorption capacity obtained from experimental results.