Abstract for: Mathematical Model to Explain the Spread Performance of the Coronavirus (COVID-19) in Peru
In Peru there have been many policies and actions that did not lead to effective solutions regarding COVID-19. One cause of this is the ignorance of the main variables and factors that influence its performance. Consequently, the number of active cases increases as well as the number of deaths. Therefore, this research proposes the development of a model for the analysis of the performance of COVID-19 in Peru. Based on the SIR-D epidemiological model, a simulation was carried out applying concepts and system dynamics tools to determine the main causes and consequences that determine the performance of COVID-19 from March 31 to December 16, 2020. This work evidenced the main socioeconomic factors that influenced the performance of COVID-19: informality, precarious infrastructure of water and sewerage services, lack of public awareness, among others.