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Background Considering its pandemicity and absence of effective treatment, authorities across the globe have designed various mitigation strategies to combat the spread of COVID-19. Although adherence towards preventive measures is the only means to tackle the virus, reluctance to do so has been reported to be a major problem everywhere. Thus, this study aimed to assess the community’s adherence towards COVID-19 mitigation strategies and its associated factors among Gondar City residents, Northwest Ethiopia. Methods A community-based cross-sectional study was employed among 635 respondents from April 20–27, 2020. Cluster sampling technique was used to select the study participants. Data were collected using an interviewer-administered structured questionnaire. Epi-Data version 4.6 and STATA version 14 were used for data entry and analysis, respectively. Binary logistic regressions (Bivariable and multivariable) were performed to identify statistically significant variables. Adjusted odds ratio with 95% CI was used to declare statistically significant variables on the basis of p < 0.05 in the multivariable logistic regression model. Results The overall prevalence of good adherence towards COVID-19 mitigation measures was 51.04% (95%CI: 47.11, 54.96). Female respondents [AOR: 2.39; 95%CI (1.66, 3.45)], receiving adequate information about COVID-19 [AOR: 1.58; 95%CI (1.03, 2.43)], and favorable attitude towards COVID-19 preventive measures were significantly associated with good adherence towards COVID-19 mitigation measures. Whereas, those respondents who had high risk perception of COVID-19 were less likely to adhere towards COVID-19 mitigation measures [AOR: 0.61; 95% CI (0.41, 0.92)]. Conclusions The findings have indicated that nearly half of the study participants had poor adherence towards COVID-19 mitigation measures. Sex, level of information exposure, attitude towards COVID-19 preventive measures, and risk perception of COVID-19 were factors which significantly influenced the adherence of the community towards COVID-19 mitigation measures. Therefore, it is crucial to track adherence responses towards the COVID-19 preventive measures, scale up the community’s awareness of COVID-19 prevention and mitigation strategies through appropriate information outlets, mainstream media, and rely on updating information from TV, radio, and health care workers about COVID-19.

Background Maternal continuums of care were vital to reducing maternal and neonatal mortalities. While the dropout rate remains high and limited studies were found on risk factors associated with a high dropout rate of the maternal continuum of care. Objective This study aimed to assess the magnitude of dropout rate and its associated factors of maternity continuum of care in Ethiopia, 2016 Methods An in-depth secondary data analysis was conducted from the Ethiopian Demographic and Health Survey 2016 data. A total of 4,693 women who were booked for antenatal care visit were included to the final analysis. A community-based cross-sectional study design and a pre-tested and standardized questionnaire were used to collect the survey data. Data were weighted using women data weighting variables. Chi-square and multicollinearity assumptions were checked for independent variables. Bi-variable and multivariable logistics regression used to identify associated factors with a cut of the p-value of 0.2 and 0.05 respectively.

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Background Second line anti-tuberculosis drugs are substantially complex, long term, more costly, and more toxic than first line anti-tuberculosis drugs. In Ethiopia, evidence on the incidence and predictors of adverse drug events has been limited. Thus, this study aimed at assessing incidence and predictors of major adverse drug events among drug resistant tuberculosis patients on second line tuberculosis treatment in Amhara Regional State public hospitals, Ethiopia. Methods A multi-center retrospective cohort study was conducted on 570 drug resistant tuberculosis Patients. Data were entered in to EPI-Data version 4.2.0.0 and exported to Stata version 14 for analysis. Proportional hazard assumption was checked. The univariate Weibull regression gamma frailty model was fitted. Cox-Snell residual was used to test goodness of fit and Akaike Information Criteria (AIC) for model selection. Hazard ratio with 95% CI was computed and variables with P -value < 0.05 in the multivariable analysis were taken as significant predictors for adverse drug event. Results A total of 570 patients were followed for 5045.09 person-month (PM) observation with a median follow-uptime of 8.23 months (Inter Quartile Range (IQR) =2.66–23.33). The overall incidence rate of major adverse drug events was 5.79 per 100 PM (95% CI: 5.16, 6.49). Incidence rate at the end of 2nd, 4th, and 6th months was 13.73, 9.25, 5.97 events per 100 PM observations, respectively. Age at 25–49 (Adjusted Hazard Ratio (AHR) = 3.36, 95% CI: 1.36, 8.28), and above 50 years (AHR = 5.60, 95% CI: 1.65, 19.05), co-morbid conditions (AHR = 2.74 CI: 1.12, 6.68), and anemia (AHR = 3.25 CI: 1.40, 7.53) were significant predictors of major adverse drug events. Conclusion The incidence rate of major adverse drug events in the early 6 months of treatment was higher than that of the subsequent months. Age above 25 years, base line anemia, and co-morbid conditions were independent predictors of adverse drug events. Thus, addressing significant predictors and strengthening continuous follow-ups are highly recommended in the study setting.