ArticleFrontiers in public health2026
The Epi training kit pilot: an inclusive Spanish-language e-learning approach to epidemiology and data science in Latin America and the Caribbean.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: The growing frequency of health emergencies underscores the need to strengthen outbreak-response capacities, particularly in low- and middle-income countries. Barriers such as limited access to training, linguistic exclusion, and gender disparities constrain the adoption of data-science tools in public health. To address these gaps in Latin America and the Caribbean (LAC), the Methods: A learner-centered, multimethod design guided the pilot of five learning units delivered via the edX Edge platform. Participants were recruited through a regional training programme. Quantitative data were collected through satisfaction and end-of-course surveys; qualitative data came from two focus groups and open-ended survey responses. Quantitative analysis described demographics, completion, and satisfaction; qualitative analysis used deductive-inductive content analysis to characterize experiences and challenges. Results: A total of 223 participants from 14 LAC countries took part-Colombia, Dominican Republic, Argentina, Peru, Chile, Brazil, Ecuador, Uruguay, Mexico, Paraguay, Cuba, El Salvador, Panama, and Venezuela. Most were women (66.4%), aged 25-45, and highly educated (54.3% master's, 6.7% PhD), while about 45% were students or held undergraduate degrees. The MOOC achieved a 57.4% completion rate (33.4% among non-mandated learners) and a mean final grade of 83.1. Over 80% rated objectives and resources as effective, and >90% scored units 4-5/5, with highest satisfaction in theoretical modules and lower ratings for R-programming units. Completers rated the course 4.6/5 and 9.3/10 for recommendation; 98% valued the Spanish-language design and 90% recognized its gender-equity focus. Qualitative findings emphasized clarity, inclusiveness, flexibility, and platform usability, but noted time constraints, limited feedback in coding tasks, and occasional English terminology in R scripts/references as remaining barriers. Conclusion: Spanish-language, gender-aware online training in epidemiology and data science is feasible and well received in LAC. Future iterations should broaden regional datasets and strengthen guided R-learning and feedback mechanisms.
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