ArticlePloS one2021
Factors associated with births protected against neonatal tetanus in Africa: Evidences from Demographic and health surveys of five African countries.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 9 citations in OpenAlex.
- Determinants of tetanus-unprotected births in Tanzania: a multilevel analysis using the 2022 Tanzania Demographic and Health Survey data.Maternal health, neonatology and perinatology · 2026Article
- Women's Empowerment and Gender-Related Factors Associated with Maternal Tetanus Protection in 39 Low- and Middle-Income Countries.Vaccines · 2025Article
- Hotspot areas of tetanus-unprotected births and its associated factors in Ethiopia: Spatial analysis of EDHS data.Human vaccines & immunotherapeutics · 2024Article
- Prevalence and factors associated with rural mothers' protection against tetanus: a cross-national analysis in 33 sub-Saharan African countries.International health · 2024Article
- Spatial distribution and determinants of tetanus toxoid immunization among pregnant women in Ethiopia using data from Ethiopian demographic and health survey 2016.BMC pregnancy and childbirth · 2023Article
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9 authors at 3 institutions in 1 country.
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Abstract
introductionMaternal and neonatal tetanus remains a global public health problem affecting mainly the poorest and most marginalized subpopulations. In spite of the problem, studies conducted on the associated factors of births protected against neonatal tetanus are scarce in Africa. Therefore, this study aimed to identify both individual and community-level factors associated with births protected against neonatal tetanus in the region.
methodsThe most recent Demographic and Health Survey datasets of five African countries (Ethiopia, Burundi, Comoros, Zimbabwe and Zambia) were used to investigate the associated factors of births protected from neonatal tetanus. STATA Version 14 statistical software was used for the analysis. The data were weighted before doing any statistical analysis and deviance was used for model comparison. Multilevel binary logistic regression was used to identify the associated factors of births protected against neonatal tetanus. Finally, the adjusted odds ratio (AOR) with its 95% confidence interval (CI) was calculated for each potential factors included in the multivariable multilevel logistic regression model.
resultsA total weighted sample of 30897 reproductive age women who had a birth within 5 years preceding the survey were included in the analysis. Those women with age of 20-34 (AOR = 1.32, 95%CI: 1.18-1.48) and 35-49 years (AOR = 1.26, 95% CI: 1.10-1.44), high community level of women education (AOR = 1.13, 95%CI: 1.04-1.23), being from poorer(AOR = 1.23, 95% CI: 1.14-1.33), middle (AOR = 1.31, 95%CI: 1.21-1.43), richer (AOR = 1.21, 95%CI: 1.11-1.32) and richest households (AOR = 1.59, 95%CI: 1.44-1.74), having antenatal care follow up (AOR = 9.62, 95% CI: 8.79-10.54), not perceiving distance to health facility as a big problem (AOR = 1.18, 95% CI: (1.11-1.25) had higher odds of having births protected against neonatal tetanus.
conclusionBoth individual and community level factors were found to be associated with births protected against neonatal tetanus in Africa. This suggests that a variety of factors are affecting births protected against neonatal tetanus in the region. Hence, the impact of these factors should be recognized while developing strategies to reduce neonatal tetanus in the region.
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