Mapping geographical inequalities of incomplete immunization in Ethiopia: a spatial with multilevel analysis.

Background: Immunization is one of the most cost-effective interventions, averting 3.5-5 million deaths every year worldwide. However, incomplete immunization remains a major public health concern, particularly in Ethiopia. The objective of this study is to investigate the geographical inequalities and determinants of incomplete immunization in Ethiopia. Methods: A secondary analysis of the mini-Ethiopian Demographic Health Survey (EDHS 2019) was performed, utilizing a weighted sample of 3,865 children aged 12-23 months. A spatial auto-correlation (Global Moran's I) statistic was computed using ArcGIS version 10.7.1 to assess the geographical distribution of incomplete immunization. Hot-spot (areas with a high proportion of incomplete immunization), and cold spot areas were identified through Getis-Ord Gi* hot spot analysis. Additionally, a Bernoulli probability-based spatial scan statistics was conducted in SaTScan version 9.6 software to determine purely statistically significant clusters of incomplete immunization. Finally, a multilevel fixed-effects logistic regression model was employed to identify factors determining the status of incomplete immunization. Results: Overall, in Ethiopia, more than half (54%, 95% CI: 48-58%) of children aged 12-23 months were not fully immunized. The spatial analysis revealed that the distribution of incomplete immunization was highly clustered in certain areas of Ethiopia (Z-score value = 8.379419, p-value < 0.001). Hotspot areas of incomplete immunization were observed in the Afar, Somali, and southwestern parts of Ethiopia. The SaTScan spatial analysis detected a total of 55 statistically significant clusters of incomplete immunization, with the primary SaTScan cluster found in the Afar region (zones 1, 3, and 4), and the most likely secondary clusters detected in Jarar, Doola, Korahe, Shabelle, Nogob, and Afdar administrative zones of the Somali region of Ethiopia. Indeed, in the multilevel mixed-effect logistic regression analysis, the respondent's age (AOR: 0.92; 95% CI: 0.86-0.98), residence (AOR: 3.11, 95% CI: 1.36-7.14), living in a pastoralist region (AOR: 3.41; 95% CI: 1.29-9.00), educational status (AOR: 0.26; 95% CI: 0.08-0.88), place of delivery (AOR: 2.44; 95% CI: 1.15-5.16), and having PNC utilization status (AOR: 2.70; 95% CI: 1.4-5.29) were identified as significant predictors of incomplete immunization. Conclusion and recommendation: In Ethiopia, incomplete immunization is not randomly distributed. Various factors at both individual and community levels significantly influence childhood immunization status in the country. It is crucial to reduce disparities in socio-demographic status through enhanced collaboration across multiple sectors and by bolstering the utilization of maternal health care services. This requires concerted efforts from stakeholders.

Undiagnosed hypertension and associated factors among adults in ethiopia: a systematic review and meta-analysis.

BACKGROUND: Hypertension is a major public health problem, resulting in 10 million deaths annually. Undiagnosed hypertension affects more people than ever before. It is more likely to be linked to severe hypertension, which can lead to stroke, cardiovascular disease, and ischemic heart disease. Thus, this systematic review and meta-analysis aimed to synthesize the prevalence of undiagnosed hypertension and its associated factors in Ethiopia. METHODS: Databases, such as Medline/PubMed, Google Scholar, Science Direct, AJOL, and the Cochrane Library, were systematically searched to find potential studies published until December 2022. A Microsoft Excel spreadsheet was used to enter the extracted data. The pooled prevalence of undiagnosed hypertension and its associated factors was estimated using a random effect model. I2 statistics and the Cochrane Q-test were used to assess statistical heterogeneity across the studies. Begg's and Egger's tests were performed to identify possible publication bias. RESULTS: A total of ten articles with 5,782 study participants were included in this meta-analysis. In the random effects model, the pooled prevalence of undiagnosed hypertension was 18.26% (95% CI = 14.94-21.58). Being older (OR = 3.8, 95% CI = 2.56, 5.66), having a body mass index > 25 kg/m2 (OR = 2.71, 95% CI = 2.1, 3.53), having a family history of hypertension (OR = 2.22, 95% CI = 1.47, 3.36), and having DM comorbidity (OR = 2.44, 95% CI = 1.38, 4.32) were significantly associated with undiagnosed hypertension. CONCLUSION: In this meta-analysis, the pooled prevalence of undiagnosed hypertension was found to be high in Ethiopia. Being older, having a BMI > 25 kg/m2, having a family history of hypertension, and having DM comorbidity were found to be risk factors for undiagnosed hypertension.

Knowledge and attitude towards Covid-19 vaccine in Ethiopia: Systematic review and meta-analysis.

The biggest threat to the effectiveness of vaccination initiatives is a lack of information about and trust in immunization. This study aimed to determine the prevalence of knowledge of and positive attitudes toward the COVID-19 vaccine in Ethiopia. PubMed, Web of Science, Google Scholar, EMBASE, and the Ethiopian University online library were searched. To look for heterogeneity, I2 values were computed and an overall estimated analysis was carried out. Although 2108 research articles were retrieved, only 12 studies with a total of 5,472 participants met the inclusion criteria for this systematic review and meta-analysis. The pooled estimates of participants with good knowledge of and positive attitudes toward the COVID-19 vaccine were found to be 65.06% (95% CI: 56.69-73.44%; I2 = 82.3%) and 60.15% (95% CI: 45.56-74.74%; I2 = 89.4%), respectively, revealing that there is a gap in knowledge of and positive attitudes toward the COVID-19 vaccine in Ethiopia. A holistic and multi-sectoral partnership is necessary for a successful COVID-19 vaccination campaign.

Prevalence of tuberculosis among prisoners in sub-Saharan Africa: a systematic review and meta-analysis.

Background: Tuberculosis (TB) is a key community health problem in numerous settings, predominantly in sub-Saharan Africa (SSA). TB is the second most lethal infectious disease worldwide. Around 1.6 million people died from TB in 2021. TB prevention and control strategies are difficult to implement in prison, especially in sub-Saharan Africa, owing to overcrowding and poor ventilation. Thus, this systematic review and meta-analysis aimed to synthesize the estimated pooled prevalence of tuberculosis among prisoners in sub-Saharan Africa. Materials and methods: Electronic biomedical databases such as Google Scholar, Web of Science, PubMed/Medline, EMBASE, and Science Direct were used to systematically explore candidate studies published until December 2022. Data extraction was performed using a Microsoft Excel spreadsheet. The estimated pooled prevalence of tuberculosis was determined using a fixed-effects model. Cochrane Q-test and I2 statistics were used to check heterogeneity statistically across different studies. Begg's rank and Egger's tests were performed to assess evidence of possible publication bias. Results: A total of 40 articles involving 59,300 prisoners were included in this systematic review and meta-analysis. The pooled prevalence of tuberculosis was 4.02% (95% CI: 2.68-5.36). We found the highest prevalence using Gene X pert as a diagnostic method, which was 4.97 (95% CI: 2.22-7.73). There is no evidence of publication bias. Conclusion: The outcome of this review revealed a high prevalence of tuberculosis among prisoners in sub-Saharan Africa. To reach the "End Tuberculosis strategy" by 2030, early identification of cases through screening on entry and periodical active case finding is important. Moreover, prevention and prompt treatment after diagnosis must be implemented to limit transmission to the general population. Systematic review registration: https://www.crd.york.ac.uk/prospero/#searchadvanced, identifier (CRD42023428933).