Min zhang is a researcher in public health and spatial epidemiology, focusing on healthcare resource equity and accessibility. With expertise in spatial analysis,leverages advanced methods like the Gaussian two-step floating catchment area model and entropy weight techniques to evaluate healthcare disparities. Their recent study in Jiangsu Province, China, examines the spatial mismatch between maternal critical care resources and women of childbearing age, revealing urban-rural gaps and clustering trends. Min zhang's work emphasizes actionable strategies, such as optimizing transportation networks and decentralizing resources, to enhance healthcare fairness. Their findings contribute to evidence-based policy making, aiming to reduce regional inequities in maternal care accessibility and improve health outcomes globally.