Efficacy Analysis of Community Health Worker Networks in HIV/AIDS Prevention within Nairobi Community

HIV/AIDS remains a significant public health challenge in Nairobi, Kenya, where community health worker (CHW) networks have been implemented to enhance prevention efforts. A mixed-methods approach was employed, including quantitative surveys and qualitative interviews. Data were analysed using logistic regression models with robust standard errors to account for potential confounders. CHWs reported a 30% reduction in HIV transmission risk behaviors among their clients compared to baseline levels (95% confidence interval: -25% to -34%). The CHW networks showed promise in promoting safer health practices, though further tailored interventions are needed. Enhanced training and support for CHWs, coupled with community engagement strategies, could amplify the effectiveness of these programmes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.