Presenting a Redefined Model of the Spatial Pattern of Therapeutic Uses in Megacities at the time of the Emergence of a Pandemic Disease with a Resilience Approach

In recent decades, some countries have experienced imbalanced and rapid development of physical spaces, leading to negative social, economic, and physical consequences. The trend towards urbanization, combined with recent disease outbreaks, has put a strain on healthcare services in large cities. To reduce vulnerability to natural disasters and improve adaptive capacity, it's important to evaluate, monitor, and plan for healthcare resilience. A comprehensive model for measuring hospital resilience to accidents and disasters, including the COVID-19 pandemic, is essential. This research identifies, collects, and classifies factors that affect user resilience and spatial definition of healthcare services usage against COVID-19. To better quantify the results, the research combines the conceptual framework of the DPSIR model with the structural equation model (SEM-PLS). According to the fuzzy cognitive map, the index of economic factors with weights of 62%, 62%, and 5% respectively has a two-way and positive relationship with environmental and natural factors. This factor with a weight of 65% has a two-way and negative relationship with the index of social factors. In addition, the index of economic factors with a weight of 69% has a one-way and negative relationship with the index of physical factors. The results also show that the economic factors in the model of redefining the spatial pattern of therapeutic uses of big cities at the time of the emergence of a pandemic disease with a resilience approach have more centrality than other factors.