The research utilized a logistic regression model to analyze socio-demographic, economic, and cultural determinants, along with perceived barriers and trust in healthcare providers, in relation to vaccination acceptance. The findings revealed that age, gender, education level, income, geographical location, and proximity to health facilities significantly influenced vaccination uptake. Perceived barriers such as fear of side effects, inconvenient vaccination hours, transportation difficulties, low vaccine efficacy confidence, cultural or religious objections, and exposure to misinformation also played a crucial role in vaccination decisions. Furthermore, the study indicated that trust-related factors, including trust in local healthcare workers, the healthcare system, government health agencies, previous positive healthcare experiences, and healthcare provider communication quality, strongly predicted vaccination behavior. The logistic regression model demonstrated strong predictive power, identifying age, gender, education, transportation difficulties, trust in local healthcare workers, misinformation exposure, and distance to health facilities as key independent predictors of vaccination uptake. The analysis highlighted the complex interplay of these factors and underscored the necessity for targeted interventions to improve vaccination coverage in rural communities. Key Words: Vaccination Uptake and Rural Communities Background of the study. The theoretical framework underpinning the analysis of vaccination uptake in rural communities draws significantly from the Health Belief Model (HBM), which posits that an individual's likelihood of adopting a preventative health behaviour, such as vaccination, is contingent upon their perceived susceptibility to the disease, the perceived severity of its consequences, the perceived benefits of vaccination, and the perceived barriers to accessing it, all while being influenced by cues to action and self-efficacy (Tushabe et al., 2020); in