Resumen

CULQUI SANCHEZ, Marco; NASIMBA QUINATOA, Jaime  y  CHILIQUINGA CALDERON, Edgar. Application of the SEIR mathematical model in the Covid-19 pandemic, relevance in public health. Vive Rev. Salud [online]. 2020, vol.3, n.9, pp.275-290. ISSN 2664-3243.

Abstract Introduction: On March 11, 2020, the WHO (World Health Organization) declared a pandemic for Sars-Cov 2, a new coronavirus identified in China at the end of 2019. Until now, the virus has spread rapidly in several countries testing their health systems. Mathematical epidemiological models such as SEIR (susceptible, exposed, infected, removed) have been used for years for the management and study of infectious diseases. Objective: to describe the characteristics of the SEIR mathematical model and its application in pandemic management with its implication in public health decisions. Methodology: A bibliographic review was carried out of original articles written in Spanish or English and published between 2015-2020 on mathematical and SEIR-type models, the relationship with infectious diseases, the Covid-19 pandemic and influence on health decisions public. The search was carried out in the google scholar, Medline, Science Direct databases. There were no restrictions regarding the type of study. Results: Mathematical modeling for infectious diseases of the SEIR type is used as a prediction tool for decision making and should be objectively assessed. One option for evaluating the equations and graphing your model results is to use MATLAB software. Conclusion: their contribution to understanding the progress of the Covid-19 pandemic and the influence on decision-making to design prevention and response strategies in public health is highlighted.

Palabras clave : mathematics; 2019 new coronavirus pandemic; public health.

        · resumen en Español     · texto en Español     · Español ( pdf )