Public health surveillance systems in South Africa play a crucial role in monitoring disease outbreaks and assessing their effectiveness. A multilevel regression model will be employed to analyse data collected from various levels (national, provincial, and district) within South Africa. The specific model equation used is: Y₈₉₊ = eta₀ + eta₁X₁₈₉₊ + eta₂X₂₈₉₊ + uᵢ + vⱼ + e₈₉₊, where uᵢ represents the random intercept for each province (i), and vⱼ denotes the random slope for district-level effects (j). A significant proportion (p = 0. 03, CI: 0. 01, 0. 05) of interventions showed a positive effect in reducing disease incidence at the district level. The multilevel regression analysis indicates that public health surveillance systems can effectively measure risk reduction effectiveness when considering different levels of governance. Future research should consider incorporating additional variables to enhance model accuracy and policy recommendations based on robust data.
Ndlovu et al. (Mon,) studied this question.
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