Hepatitis E is a significant health issue in Cameroon villages, where early detection and treatment are crucial for preventing severe liver damage. The study employed a cost-effectiveness analysis using a Markov model to assess the long-term financial impact of these interventions on village healthcare systems. A proportionate reduction in hospitalization costs due to early detection was observed, with an estimated $50 per capita savings over five years under optimal implementation. The integrated approach demonstrated cost-effectiveness and potential for reducing Hepatitis E-related morbidity and mortality at a village level. Villagers should be encouraged to participate in regular screening programmes, while healthcare providers need access to subsidized treatment options to maximise benefits. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.