Covid-19 pandemic and effect of containment measures in the Peruvian population: A SIR mathematical modeling [Pandemia de Covid-19 y efecto de medidas de contención en población peruana: un modelamiento matemático SIR]

• Autores: Espinola-Sánchez, Marcos, Racchumí-Vela, Augusto, Sanca-Valeriano, Silvia, Espinola-Sánchez, Sergio, Arango-Ochante, Pedro, Saldana-Díaz, Claudia, Segundo-Paredes, Jorge, Mejico-Caja, Melisa
• Formato: artículo
• Fecha de Publicación: 2020
• Institución: Universidad Privada del Norte
• Repositorio: UPN-Institucional
• Lenguaje: español
• OAI Identifier: oai:repositorio.upn.edu.pe:11537/26772
• Enlace del recurso: https://hdl.handle.net/11537/26772; https://doi.org/10.35434/rcmhnaaa.2020.132.656
• Nivel de acceso: acceso abierto
• Materia: Covid-19; Pandemia; Reproducción; Población; Perú; https://purl.org/pe-repo/ocde/ford#3.02.02

ABSTRACT Introduction: The evolution of the COVID-19 pandemic varies in each population; it has been complicating health systems worldwide. Objective: to analyze the evolution of the Covid-19 pandemic, estimating the effect of the containment measures practiced in Peru. Material and Method: The SIR epidemiological mathematical modeling was applied, estimating the COVID-19 evolution in our population. Data analysis was performed following the SIR mathematical model with defined ordinary differential equations to simulate epidemiological behavior; and it was executed in the RStudio programming language. Results: Containment measures decreased the propagation rate, reducing 30% of infected cases until the peak day of infection; however, it is still above the effective reproductive number to control the epidemic and it shows an erratic trend, the result of government actions being 61% in the practice of containment measures. Conclusions: Containment measures are necessary if strategies are considered to make their role effective in our population.