Mobile health clinics have been introduced to improve healthcare access in remote areas of Sudanese villages. A cross-sectional survey was conducted among villagers, collecting data on clinic visits, malaria symptoms, and diagnostic outcomes. Data were analysed using logistic regression models. Mobile health clinics reported a success rate of 85% in identifying malaria cases (95% CI: 72-93%). The findings suggest that mobile health clinics are effective tools for early detection and reporting of malaria, particularly among rural populations. Further research should focus on evaluating the long-term sustainability and cost-effectiveness of these clinics in similar settings. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.