This review evaluates the study "Estimating the Potential Impact of Surveillance Test-and-Treat Posts to Reduce Malaria in Border Regions in Sub-Saharan Africa," which was published on June 28, 2024. The study is noted for its significant contribution to malaria control research by focusing on the impact of human mobility and test-and-treat strategies in border regions. Utilizing an advanced individual-based model (IBM) and a metapopulation approach, the study simulates malaria dynamics and the effectiveness of various intervention strategies across 401 administrative units. The review highlights the study’s strong methodological foundation and clear presentation, affirming its conclusive and actionable findings. However, it also raises technical questions about the coupling of model inputs to disease dynamics, the independence of simulation clusters, and the asymmetry observed in some results. Overall, while the study provides valuable insights into malaria prevention, addressing these technical issues could further enhance its applicability and precision in informing malaria control strategies.