Use of Fuzzy Logic to demonstrate possibility of health system collapse due to Coronavirus Pandemic / Uso da Lógica Fuzzy para demonstrar a possibilidade de colapso do sistema de saúde devido à pandemia de coronavírus

Abstract

Introduction: At the end of 2019, contamination caused by an unknown virus affected the population of Wuhan, China. The virus, known as SARS-CoV-2, was found to cause flu-like symptoms, such as fever, cough, among others. Objective: using the fuzzy logic method graphically demonstrated the Risk of Collapse of the Health System, with the availability of beds /equipment to increase the number of infected, from the Sars-CoV-2 pandemic. Methods: Modeled a fuzzy system with a Mamdani model, later defined the physical variables of entry (Number of infected people and number of beds/equipment available) and output (Risk of collapse of the health system), then inserted the nine rules and the pertinence functions in the trapezoidal and triangular type graph, generating from this information a three-dimensional graph with the results. Results: From the three-dimensional graph, it can be seen that the results were consistent and demonstrate that countries must prevent the number of infected people from increasing, because when this situation occurs, the risk of collapse of the health system is high due to the unavailability of beds /equipment, in addition, this modeling of fuzzy logic along with the generated three-dimensional graph can be used to demonstrate a health crisis in countries. Conclusion: Concluded that the fuzzy logic technique allows many realistic predictions of possible crises and collapses of the health system, but to obtain good results in it, having the knowledge of what is expected will generate the necessary notion to make the insertion of information accurately in the software.