Mathematical model and COVID-19
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Redalyc
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| Format: | Artículo científico |
| Langue: | en |
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Universidad del Valle
2020
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| _version_ | 1876437177656672256 |
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| author | Elvia Karina Grillo Ardila |
| author_facet | Elvia Karina Grillo Ardila |
| contents | Mathematical model and COVID-19 Elvia Karina Grillo Ardila Julián Santaella-Tenorio Rodrigo Guerrero Luis Eduardo Bravo Medicina 19 RT PCR COVID pandemic 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 2020 artículo científico 0120-8322 https://www.redalyc.org/articulo.oa?id=28364445006 https://www.redalyc.org/journal/283/28364445006/ https://www.redalyc.org/journal/283/28364445006/html/ https://www.redalyc.org/journal/283/28364445006/28364445006.epub https://www.redalyc.org/journal/283/28364445006/movil 10.25100/cm.v51i2.4277 en http://www.redalyc.org/revista.oa?id=283 Colombia Médica application/pdf Universidad del Valle Colombia Médica (Colombia) Num.2 Vol.51 |
| format | Artículo científico |
| id | redalyc_28364445006 |
| institution | Redalyc |
| language | en |
| publishDate | 2020 |
| publisher | Universidad del Valle |
| spellingShingle | Mathematical model and COVID-19 Elvia Karina Grillo Ardila Medicina 19 RT PCR COVID pandemic Mathematical model and COVID-19 Elvia Karina Grillo Ardila Julián Santaella-Tenorio Rodrigo Guerrero Luis Eduardo Bravo Medicina 19 RT PCR COVID pandemic 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 2020 artículo científico 0120-8322 https://www.redalyc.org/articulo.oa?id=28364445006 https://www.redalyc.org/journal/283/28364445006/ https://www.redalyc.org/journal/283/28364445006/html/ https://www.redalyc.org/journal/283/28364445006/28364445006.epub https://www.redalyc.org/journal/283/28364445006/movil 10.25100/cm.v51i2.4277 en http://www.redalyc.org/revista.oa?id=283 Colombia Médica application/pdf Universidad del Valle Colombia Médica (Colombia) Num.2 Vol.51 |
| title | Mathematical model and COVID-19 |
| topic | Medicina 19 RT PCR COVID pandemic |
| url | https://www.redalyc.org/articulo.oa?id=28364445006 https://www.redalyc.org/journal/283/28364445006/ https://www.redalyc.org/journal/283/28364445006/html/ https://www.redalyc.org/journal/283/28364445006/28364445006.epub https://www.redalyc.org/journal/283/28364445006/movil |