Optimization Model for Selecting Temporary Hospital Locations During COVID-19 Pandemic

The two main approaches that countries are using to ease the strain on healthcare infrastructure is building temporary hospitals specialized in treating COVID-19 patients and promoting preventive measures. As such, selection of optimal location for a hospital calculation prioritization measures most critical decisions during pandemic, especially densely populated areas where risk transmission virus highest. If process or poor, workers can be harmed, unnecessary costs may come into play. In this study, decision support framework fuzzy analytic hierarchy (FAHP) weighted aggregated sum product assessment model proposed selecting hospital, FAHP calculating against COVID-19. A case study performed Ho Chi Minh City decision-making framework. contribution work propose multiple criteria environment ranking potential locations pandemic. results used assist decision-makers, such as government authorities infectious disease experts, dealing with current pandemic well other diseases future. With entire world facing global COVID-19, many scientists have applied research achievements practice help decision-makers make accurate prevent number cases increases exponentially, it crucial experts while considering quantitative qualitative criteria. approach also complex processes different countries.