Zoonotic diseases pose significant health risks in northern Nigerian villages, affecting both human and animal populations. The surveillance systems are crucial for early detection and control of such diseases. A mixed-methods approach was employed, including surveys, focus group discussions, and data analysis. There was a significant decrease (p < 0.05) in reported zoonotic disease cases by 27% after the implementation of surveillance systems compared to before. Community-based zoonotic disease surveillance significantly reduced reported incidence rates, contributing positively to public health outcomes. Further research should explore scalability and cost-effectiveness of these interventions across different regions. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.