• Elvia Karina Grillo Ardila, Julián Santaella-Tenorio, Rodrigo Guerrero, and Luis Eduardo Bravo.
• Universidad del Valle, Facultad de Salud, Doctorado en Salud. Estudiente de Doctorado, Cali, Colombia.
• Colomb Medica. 2020 Jun 30; 51 (2): e4277e4277.

UnlabelledCurrently, there are several mathematical models that have been developed to understand the dynamics of COVID-19 infection. However, the difference in the sociocultural contexts between countries requires the specific adjustment of these estimates to each scenario. This article analyses the main elements used for the construction of models from epidemiological patterns, to describe the interaction, explain the dynamics of infection and recovery, and to predict possible scenarios that may arise with the introduction of public health measures such as social distancing and quarantines, specifically in the case of the pandemic unleashed by the new SARS-CoV-2/COVID-19 virus.CommentMathematical models are highly relevant for making objective and effective decisions to control and eradicate the disease. These models used for COVID-19 have supported and will continue to provide information for the selection and implementation of programs and public policies that prevent associated complications, reduce the speed of the virus spread and minimize the occurrence of severe cases of the disease that may collapse health systems.Copyright © 2020 Colombia Medica.

22 keywords...

hide…