Cancers preventive practice and the determinants in Amhara regional state, Northwest Ethiopia.

BackgroundCancer is the leading cause of morbidity and mortality globally. In Ethiopia, 5.8% of deaths are attributed to cancer. Therefore, this study aimed to examine the cancers preventive practice and associated factors in North West Ethiopia, 2019.MethodsA community-based cross-sectional study was conducted among Bahir Dar city residents. A multistage sampling technique was used to select 845 study participants. Data were collected through a validated interviewer administered questionnaire. The questionnaire was adapted from the American cancer association cancer prevention toolkit. Descriptive statistics were computed and presented in charts and texts. The model fitness was checked using Hosmer and Lemeshow goodness of fit (P > 0.05). Bivariable and multivariable logistic regressions were used to identify factors associated with cancer preventive practice. A p-value ResultA total of 845 study participants took part in the study. Nearly 63% of the respondents were females. About 28% (95%CI: 24, 30) of the study participants had good preventive practice. Age ≥ 45 years (AOR = 0.31; 95%CI: 0.15, 0.62), female (AOR = 0.50, 95%CI: 0.35, 0.71) family member with cancer (AOR = 1.68, 95%CI: 1.07, 2.62) and had good knowledge (AOR = 1.66, 95%CI: 1.14, 2.42) were the identified determinants of cancer preventive practices.ConclusionThis study revealed that the level of cancer preventive practices was low. Family member with cancer, knowledge about cancer, older age, and being female were significantly associated with cancer preventive practices. This finding underscores the importance of interventions to enhance cancer preventive practices

Spatial distribution and determinants of tetanus toxoid immunization among pregnant women in Ethiopia using data from Ethiopian demographic and health survey 2016

Abstract Introduction Tetanus is a major public health problem caused by clostridium tetani. Although it is vaccine-preventable, the case fatality rate among neonates in areas with poor immunization coverage and limited access to clean deliveries reaches 80-100%. Vaccination of pregnant mothers with the tetanus toxoid (TT) vaccine is the most effective way to protect against neonatal tetanus. This study aimed to examine the spatial distribution and determinants of tetanus toxoid immunization among pregnant mothers using the 2016 EDHS data. Method Secondary analysis of the Ethiopia Demographic and Health Survey 2016 was done to assess the spatial distribution and determinants of tetanus toxoid vaccine among pregnant women in Ethiopia. Spatial autocorrelation analysis and hot spot analysis were used to detect spatial dependency and spatial clustering of the tetanus toxoid vaccine in Ethiopia. Spatial interpolation was used to predict the tetanus toxoid vaccine coverage in unsampled areas. The multilevel binary logistic regression model was fitted to identify factors associated with tetanus toxoid vaccination. An adjusted odds ratio with 95% CI was calculated and used as the measure of association and a p-value less than 0.05 were considered statistically significant. Result From the total of 7043 pregnant women, 42.4% of them have taken at least two doses of tetanus toxoid immunization. Spatial clustering of TT immunization was observed in the Northern, Southwestern and Southwestern parts of Ethiopia. Whereas, low TT coverage was observed in the Eastern and Western parts of the country. Increased ANC visits and the richest economic status favored TT immunization, whereas living in Addis Ababa and Dire Dewa cities decreased the TT immunization coverage. Conclusion The finding of this study reveals that TT immunization had spatial dependency, with the highest immunization coverage observed in the Northern, Southwestern and Southeastern parts of the Country. Thus, geographically targeted interventions should be implemented particularly in the eastern and western parts of the country

COVID-19 vaccine acceptance rate and its predictors in Ethiopia: A systematic review and meta-analysis

Coronavirus disease (COVID-19) is a global pandemic caused by the SARS-CoV-2 virus. COVID-19 vaccine is the best strategy for prevention. However, it remained the main challenge. Therefore, this systematic review and meta-analysis aimed to determine the overall pooled estimate of COVID-19 vaccine acceptance and its predictors in Ethiopia. Consequently, we have searched articles from PubMed, EMBASE, Web of Science, Google Scholar, reference lists of included studies, and Ethiopian universities’ research repository. The weighted inverse variance random effects model was employed. The quality of studies and the overall variation between studies were checked through Joanna Briggs Institute (JBI) quality appraisal criteria and heterogeneity test (I2), respectively. The funnel plot and Egger’s regression test were also conducted. Following that, a total of 14 studies with 6,773 participants were considered in the study and the overall pooled proportion of COVID-19 vaccine acceptance was 51.2% (95% CI: 43.9, 58.5). Having good knowledge (Odds ratio: 2.7; 95% CI: 1.1, 7.1; P.value: 0.00), chronic disease (Odds ratio: 2; 95% CI: 1.3, 3.1), older age (Odds ratio: 1.8; 95% CI: 1.1, 3.0; P.value: 0.02), and secondary education and above (Odds ratio: 3.3; 95% CI: 1.7, 6.7; P.value: 0.00) were significantly associated with the acceptance of COVID-19 vaccine. In conclusion, Having good knowledge, chronic disease, older age, and secondary education and above were significantly associated with COVID-19 vaccine acceptance. Therefore, special attention and a strengthened awareness, education, and training about COVID-19 vaccine benefits had to be given to uneducated segments of the population

Regional prevalence of infant mortality in Ethiopia.

Regional prevalence of infant mortality in Ethiopia.</p

Multivariable multilevel logistic regression analysis results of both individual-level and community-level factors associated with infant mortality in Ethiopia.

Multivariable multilevel logistic regression analysis results of both individual-level and community-level factors associated with infant mortality in Ethiopia.</p

Hot spot analysis of infant mortality in Ethiopia, Shapefile source: (Central Statistical agency 2013; URL: https://africaopendata.org/dataset/ethiopia-shapefiles).

Map output: Own analysis using ArcMap 10.8 software.</p

Spatial autocorrelation of infant mortality in Ethiopia.

Spatial autocorrelation of infant mortality in Ethiopia.</p

Interpolation of infant mortality in Ethiopia, Shapefile source: (Central Statistical agency 2013; URL: https://africaopendata.org/dataset/ethiopia-shapefiles).

Map output: Own analysis using ArcMap 10.8 software.</p

Spatial scan statistical analysis of infant mortality in Ethiopia.

Spatial scan statistical analysis of infant mortality in Ethiopia.</p

Sociodemographic characteristics of live births born five years preceding the survey in Ethiopia.

Sociodemographic characteristics of live births born five years preceding the survey in Ethiopia.</p