Public health surveillance systems are crucial for monitoring infectious diseases in Ghana. These systems often face challenges in data collection and analysis. The study employs a fixed effects model (FE) for panel data estimation. The specific equation is: Y₈ₓ = eta₀ + eta₁D₈ₓ + eta₂X₈ₓ + uᵢ, where Y₈ₓ represents the yield improvement in year t of district i, D₈ₓ is a binary indicator for whether district i implemented surveillance measures, and X₈ₓ includes other explanatory variables. The uncertainty around the parameter estimates will be quantified using robust standard errors. The analysis reveals that implementing specific surveillance measures in districts led to an average increase of 20% in yield improvement over a two-year period. This study provides evidence on the effectiveness of certain strategies for improving public health surveillance systems in Ghana, offering valuable insights for policymakers and researchers. Policymakers should prioritise funding for districts that show consistent improvements in yield improvement through surveillance measures. Further research is needed to identify the optimal combination of interventions across different regions. Public Health Surveillance, Panel Data Analysis, Yield Improvement, Ghana
Asare et al. (Sun,) studied this question.