Introduction Although many vaccines are in development and clinical trials, and at least seven vaccines have been distributed worldwide, the world has faced a huge challenge in line with the willingness to accept a COVID-19 vaccine in a different country including Ethiopia. However, no study has been conducted on the knowledge, attitudes, acceptance, and determinates of COVID-19 vaccine acceptance in Ethiopia. Therefore, this study was aimed to investigate the knowledge, attitudes, acceptance, and determinants of acceptance of the COVID-19 vaccine among the adult population in Ethiopia. Methods A community-based cross-sectional study was conducted among 492 study participants from March 1 to March 15, 2021. A multistage sampling technique was used to recruit study participants. Six skilled and qualified data collectors had participated to gather the data using a pretested structured-administered questionnaire. A multivariable logistic regression model was used to identify factors associated with the acceptance of the COVID-19 vaccine. P-value <0.05 was considered to indicate statistically significant association. Results This study revealed that the level of good knowledge, positive attitude and intention to accept the COVID-19 vaccine were 74%, 44.7%, and 62.6%, respectively. Moreover, having an age ≥46 years with an adjusted odds ratio of 2.36 [95% CI, 1.09–5.39], attended secondary and above education adjusted odds ratio 2.59 [95% CI, 1.52–4.39], having a chronic disease adjusted odds ratio of 3.14 [95% CI, 1.21–8.14], and having good knowledge about COVID-19 vaccine adjusted odds ratio 2.59 [95% CI, 1.67–4.02] were significantly associated with COVID-19 vaccine acceptance. Conclusion In this study, the level of good knowledge, positive attitude, and intention to accept the COVID-19 vaccine were 74%, 44.7%, and 62.6%, respectively. Thus, health education and communication from government sources are very crucial methods to alleviate the negative attitude of the COVID-19 vaccine.

BackgroundPostpartum depression is the most common complication of childbearing age women and is a considerable public health problem. The transition into motherhood is a difficult period that involves significant changes in the psychological, social and physiological aspects, and has increased vulnerability for the development of mental illness. More than 1 in 10 pregnant women and 1 in 20 postnatal women in Ethiopia suffer from undetected depression.MethodsCommunity based cross sectional study was conducted among 596 postpartum mothers in Ankesha District, North West Ethiopia, from February 01 to March 2, 2018. One stage cluster sampling technique was employed to get the study participants. The objective was to assess the prevalence and associated factors of postpartum depression among mothers who gave birth in the last Twelve months in Ankesha District, Awi Zone, North West Ethiopia, 2018. The interviewer-administered questionnaire was used to collect data and Eden Burg Postpartum Depression Scale was used to assess postpartum depression with cutoff point ≥8. The data were entered into Epi data version 3.1 and exported to SPSS version 24 for analysis. All variables with P < 0.25 in the bivariate analysis were included in the final model and statistical significance was declared at P < 0.05.ResultIn this study, a total of 596 study participants were involved making a response rate of 97.4%, the prevalence of postpartum depression was 23.7% with 95%CI: 20.3–27.2. From the participant mothers who are divorced/widowed/unmarried (AOR = 3.45 95%CI: 1.35–8.82), unwanted pregnancy (AOR = 1.95 95%CI: 1.14–3.33), unpreferred infant sex (AOR = 1.79 95%CI: 1.13–2.86), infant illness (AOR = 2.08 95%CI: 1.30–3.34) and low social support (AOR = 3.16 95% CI: 1.55–6.43) was independent predictors of postpartum depression.ConclusionAlmost a quarter (23.7%) of women suffers from postpartum depression. Marital status, unwanted pregnancy, unwanted infant sex, infant illness, and low social support were independent predictors of postpartum depression. Therefore, integration of mental illness with maternal and child health care is important, information communication education and behavioral change communications on postpartum depression are better been given attention.

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.

Background World health organization (WHO) defines intimate partner violence (IPV) is physical, sexual, or emotional abuse by an intimate partner or ex-partner or spouse to a woman. From all forms of violence, ~ 1.3 million people worldwide die each year, accounting for 2.5% of global mortality. During the COVID-19 crisis, control and prevention measures have brought women and potential perpetrators together which increase the risk of IPV. Therefore, this study was aimed to assess the magnitude and associated factors of IPV against women during COVID-19 in Ethiopia. Methods Community based cross-section study was employed among 462 reproductive-age women to assess IPV and associated factors during COVID-19 pandemic. To select study participants one-stage cluster sampling technique was used. The data were entered into Epi data version 4.2 and exported to SPSS for analysis. Bivariate and multivariate analysis was used to check the association of dependent and independent variables and statistical significance was declared at P < 0.05. Result A total of 448 study subjects were responded making a response rate of 96.97%. Two- third (67.6%) of the respondent's age range was between 20 and 29 years. All of the participants heard about the pandemic of COVID-19 at the time of onset. The lifetime and the last twelve months prevalence of women with IPV was 42.19% and 24.11%, respectively. About 58 (12.9%) had experienced all three types of violence. Participants age ≥ 35 (AOR = 2.02; 95% CI: 1.99–4.29), rural residence (AOR = 3.04; 95% CI: 2.59–6.25), husband’s educational status of diploma and above (AOR = 0.35; 95% CI: 0.14–0.83), COVID-19 pandemic (AOR = 4.79; 95% CI: 1.13–6.86), and low social support (AOR = 3.23; 95% CI: 1.99–6.23) were independent predictors. Conclusions In this study two in five women undergo one type of violence in their lifetime. The occurrence of the COVID-19 pandemic has its impact on violence. Age ≥ 35, rural residence, husband’s educational status of diploma and above, history of child death, COVID-19 pandemic, and low social support were independent predictors of violence. This implies insight to concerned bodies like policymakers and stakeholders to design appropriate policies to avert this magnitude and making zero tolerance for violence in society.

Background Although the rate of stillbirth has decreased globally, it remains unacceptably high in low- and middle-income countries. Only ten countries including Ethiopia attribute more than 65% of global burden of still birth. Ethiopia has the 7th highest still birth rate in the world. Identifying the predictors of stillbirth is critical for developing successful interventions and monitoring public health programs. Although certain studies have assessed the predictors of stillbirth, they failed in identify the proximate predictors of stillbirth. In addition, the inconsistent findings in identify the predictors of stillbirth, and the methodological limitations in previously published works are some of the gaps. Therefore, this study aimed to identify the predictors of stillbirth among mothers who gave birth in six referral hospitals in Southern, Ethiopia. Methods A hospital-based unmatched case-control study was conducted in six referral hospitals in Southern, Ethiopia from October 2019 to June 2020. Consecutive sampling techniques and simple random techniques were used to recruit cases and controls respectively. A structured standard tool was used to identify the predictors of stillbirth. Data were entered into Epi Info 7 and exported to SPSS 23 for analysis. A multivariable logistic regression model was used to identify the independent predictors of stillbirth. The goodness of fit was tested using the Hosmer and Lemeshow goodness-of-fit. In this study P-value < 0.05 was considered to declare a result as a statistically significant association. Results In this study 138 stillbirth cases and 269 controls were included. Women with multiple pregnancy [AOR = 2.98, 95%CI: 1.39–6.36], having preterm birth [AOR = 2.83, 95%CI: 1.58–508], having cesarean mode of delivery [AOR = 3.19, 95%CI: 1.87–5.44], having no ANC visit [AOR = 4.17, 95%CI: 2.38–7.33], and being hypertensive during pregnancy [AOR = 3.43, 95%CI: 1.93–6.06] were significantly associated with stillbirth. Conclusions The predictors of stillbirth identified are manageable and can be amenable to interventions. Therefore, strengthening maternal antenatal care utilization should be encouraged by providing appropriate information to the mothers. There is a need to identify, screen, and critically follow high-risk mothers: those who have different complications during pregnancy, and those undergoing cesarean section due to different indications.