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- Title
Modelos matemáticos y el COVID-19.
- Authors
Grillo Ardila, Elvia Karina; Santaella-Tenorio, Julián; Guerrero, Rodrigo; Eduardo Bravo, Luis
- Abstract
Currently, 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.
- Subjects
POLYMERASE chain reaction; QUARANTINE; SOCIAL isolation; VIRAL antibodies; REVERSE transcriptase polymerase chain reaction; STATISTICAL models; COVID-19; SOCIAL distancing
- Publication
Colombia Medica, 2020, Vol 51, Issue 2, p1
- ISSN
0120-8322
- Publication type
Article
- DOI
10.25100/cm.v51i2.4277