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- W3084651574 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" @default.
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- W3084651574 date "2020-01-01" @default.
- W3084651574 modified "2023-09-23" @default.
- W3084651574 title "Covid-19 pandemic and effect of containment measures in the Peruvian population: A SIR mathematical modeling" @default.
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