Background Vaccination is the promising strategy to control the coronavirus disease 2019 (COVID-19) pandemic. However, the success of this strategy will rely mainly on the rate of vaccine acceptance among the general population. Therefore, this systematic review and meta-analysis aimed to estimate the pooled prevalence of COVID-19 vaccine acceptance and its determinants in Ethiopia. Methods We searched PubMed, Scopus, Google Scholar, African Journals Online, and Web of Sciences database to retrieve related articles. Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines were used for this study. Funnel plot and Eggers test were done to assess publication bias. Cochrane Q-test and I2 statistic were done to chick evidence of heterogeneity. Subgroup analysis was computed based on the study region and the study population. Data were extracted using a Microsoft Excel spreadsheet and analyzed using STATA version 14 statistical software. Weighted inverse variance random effect model was run to estimate the pooled prevalence of COVID-19 vaccine acceptance. Results A total of 12 studies with 5,029 study participants were included. The pooled prevalence of COVID-19 vaccine acceptance in Ethiopia was 51.64% (95%CI; 43.95%-59.34%). Being male (AOR = 4.46, 1.19–16.77, I2 = 88%), having secondary and above educational status (AOR = 3.97, 1.94–8.12, I2 = 69%), good knowledge (AOR = 3.36, 1.71–6.61, I2 = 93%), and positive attitude (AOR = 5.40, 2.43–12.00, I2 = 87%) were determinants of COVID-19 vaccine acceptance in Ethiopia. Conclusion The pooled prevalence of COVID-19 vaccine acceptance was low. Being male, having secondary and above educational status, good knowledge, and positive attitude were the determinants of COVID-19 vaccine acceptance. High level of COVID-19 vaccine acceptance among the general population is crucial to achieve herd immunity in the community. Therefore, policymakers, vaccine campaign program planners, and stakeholders should target to improve public awareness of vaccination that enhances vaccine acceptance and in turn helps to control the pandemic.

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.

Background Coronavirus disease (COVID-19) infection during pregnancy causes adverse maternal and perinatal outcomes such as preterm birth, low birth weight, severe illness, intensive care unit admission, mechanical ventilation, and death. Pregnant women’s knowledge, attitude, and practice (KAP) towards COVID-19 infection prevention are crucial to ensure the health of the mother and foetus. Therefore, this systematic review and meta-analysis aimed to estimate the pooled prevalence of pregnant women’s KAP towards COVID-19 infection prevention in Ethiopia. Methods We searched PubMed, Scopus, Google Scholar, African Online Journal, and Web of Sciences database to retrieve related articles. Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guideline was used. Funnel plot and Eggers test were done to assess publication bias. Cochrane Q-test and I2 statistic were done to chick evidence of heterogeneity. Subgroup analysis was computed based on the study region and year of publication. Data were extracted using a Microsoft Excel spreadsheet and analyzed using STATA version 14 statistical software. Weighted inverse variance random effect model was run to estimate the pooled prevalence of pregnant women’s KAP towards COVID-19 infection prevention. Results A total of 9 studies with 4,103 pregnant women were included. The pooled prevalence of knowledge, attitude, and practice towards COVID-19 infection prevention among pregnant women’s in Ethiopia were 60.24% (95% CI; 53.69 to 66.79, I2 = 95%), 62.46% (95% CI; 45.68, 79.23, I2 = 98.8%), and 52.29% (95% CI; 43.91%-60.66% I2 = 96.5%) respectively. Maternal age (AOR = 1.87, 1.40–2.49), residence (AOR = 2.23, 1.50–3.31), secondary and above educational status (AOR = 3.36, 2.46–4.58), good knowledge (AOR = 2.73, 2.18–3.41), and fear of COVID-19 infection (AOR = 2.60, 1.78, 3.80) were factors associated with COVID-19 infection prevention practice among pregnant women’s in Ethiopia. Conclusion The knowledge, attitude, and practice of COVID-19 infection prevention among pregnant women were low. Therefore, policymakers, maternal and child health program planners, and stakeholders should target to improve pregnant women’s awareness regarding COVID-19 infection preventive measures.

ObjectiveThis study aims to assess viral suppression and associated factors among children tested for HIV viral load at the Amhara Public Health Institute, Dessie Branch, Ethiopia.DesignAn institutional cross-sectional study was conducted. An observational checklist was used to collect the data. Data were entered into EpiData and analysed using SPSS (V.25). The data were analysed descriptively. Variables with p=0.25 from the bivariable analysis were entered into a multivariable logistic regression model, and significant variables (p=0.05) were retained in the multivariable model.Setting and participantsThis cross-sectional study was conducted among 522 randomly selected children tested for HIV viral load at the Amhara Public Health Institute, Dessie Branch, Ethiopia. The study included children under the age of 15 years with complete records.ResultsViral suppression was 73% (95% CI: 60.41% to 77.63%). Treatment duration on antiretroviral therapy (adjusted OR (AOR)=0.207; 95% CI: 0.094 to 0.456) and regimen substitution (AOR=0.490; 95% CI: 0.306 to 0.784) were significantly associated with viral suppression rate.ConclusionsIn this study, the overall magnitude of viral suppression in Amhara Public Health Institute, Dessie Branch is low as compared with the WHO’s 95% viral suppression target. Viral suppression was significantly associated with antiretroviral therapy duration and regimen substitution.

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.