Answers are grounded in this paper and cite their sources.
Aim of the study: To identify risk factors associated with measles cases in the Odienné health district from 2019 to 2023. Population and methods: This retrospective cohort study, conducted from July to October 2024, analyzed measles surveillance data in the Odienné health district over the period 2019-2023. Cases were selected exhaustively, and data extracted via MAGPI software. A bivariate analysis with Chi-squared tests was performed. Multivariate analysis was performed using logistic regression in IBM-SPSS software. Significance thresholds were set at α= 5% and P-value <0.05. Variables included socio-demographic factors, vaccination status. The study complied with ethical standards and data confidentiality. Results: The study included 358 cases of measles, including 40 confirmed cases. Analysis revealed a vaccination coverage of 78% in 2022, with children aged 5 to 15 accounting for 40.8% of cases. A peak in measles prevalence was observed in 2022. The analysis also revealed that type of residence (rural area) was the only factor significantly associated with high measles prevalence (OR = 0.34; CI: [0.18-0.67]; p = 0.001). Conclusion: Measles remains a public health challenge in the Odienne health district. Boosting vaccination coverage, improving epidemiological surveillance and adapting interventions to local contexts are essential to controlling the disease. Cross-border collaboration and multi-sectoral commitment are necessary for an effective and sustainable response.
No takes yet. Share an insight, caveat, or question.
Ekra et al. (2025) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: