Cargando…
Modelo SIR de la tendencia pandémica de COVID-19 en Perú
The SARS-CoV-2 virus from Europe has reached Peru on March 5 and since March 16 a state of national emergency has been declared, leading to the confinement of the entire population. The objective of this study is to characterize the epidemic evolution of coronavirus disease (COVID-19) applying the S...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Universidad Nacional de Córdoba
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760917/ https://www.ncbi.nlm.nih.gov/pubmed/34617709 http://dx.doi.org/10.3105310.31053/1853.0605.v78.n3.31142 |
_version_ | 1784633421962674176 |
---|---|
author | Huarachi Olivera, Ronald Lazarte Rivera, Antonio |
author_facet | Huarachi Olivera, Ronald Lazarte Rivera, Antonio |
author_sort | Huarachi Olivera, Ronald |
collection | PubMed |
description | The SARS-CoV-2 virus from Europe has reached Peru on March 5 and since March 16 a state of national emergency has been declared, leading to the confinement of the entire population. The objective of this study is to characterize the epidemic evolution of coronavirus disease (COVID-19) applying the SIR model (Susceptible-Infectious-recovered or deceased) during a period of 200 days. The time series data of COVID-19 from March 06 to May 14, 2020 of the Peruvian Ministry of Health was used, presenting estimated cases by varying the basic reproduction number R0. According to the SIR model, the peak of those infected occurs shortly after May 30 from the beginning of the epidemic (day 86) where the total number of infected cases decreases to R0 = 1.5. The results suggest that Peru's current stringent measures can effectively prevent the spread of COVID-19 and should be maintained even with efficient results. |
format | Online Article Text |
id | pubmed-8760917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Universidad Nacional de Córdoba |
record_format | MEDLINE/PubMed |
spelling | pubmed-87609172022-01-18 Modelo SIR de la tendencia pandémica de COVID-19 en Perú Huarachi Olivera, Ronald Lazarte Rivera, Antonio Rev Fac Cien Med Univ Nac Cordoba Artículos Originales The SARS-CoV-2 virus from Europe has reached Peru on March 5 and since March 16 a state of national emergency has been declared, leading to the confinement of the entire population. The objective of this study is to characterize the epidemic evolution of coronavirus disease (COVID-19) applying the SIR model (Susceptible-Infectious-recovered or deceased) during a period of 200 days. The time series data of COVID-19 from March 06 to May 14, 2020 of the Peruvian Ministry of Health was used, presenting estimated cases by varying the basic reproduction number R0. According to the SIR model, the peak of those infected occurs shortly after May 30 from the beginning of the epidemic (day 86) where the total number of infected cases decreases to R0 = 1.5. The results suggest that Peru's current stringent measures can effectively prevent the spread of COVID-19 and should be maintained even with efficient results. Universidad Nacional de Córdoba 2021-08-23 /pmc/articles/PMC8760917/ /pubmed/34617709 http://dx.doi.org/10.3105310.31053/1853.0605.v78.n3.31142 Text en https://creativecommons.org/licenses/by-nc/4.0/Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0. |
spellingShingle | Artículos Originales Huarachi Olivera, Ronald Lazarte Rivera, Antonio Modelo SIR de la tendencia pandémica de COVID-19 en Perú |
title | Modelo SIR de la tendencia pandémica de COVID-19 en Perú |
title_full | Modelo SIR de la tendencia pandémica de COVID-19 en Perú |
title_fullStr | Modelo SIR de la tendencia pandémica de COVID-19 en Perú |
title_full_unstemmed | Modelo SIR de la tendencia pandémica de COVID-19 en Perú |
title_short | Modelo SIR de la tendencia pandémica de COVID-19 en Perú |
title_sort | modelo sir de la tendencia pandémica de covid-19 en perú |
topic | Artículos Originales |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760917/ https://www.ncbi.nlm.nih.gov/pubmed/34617709 http://dx.doi.org/10.3105310.31053/1853.0605.v78.n3.31142 |
work_keys_str_mv | AT huarachioliveraronald modelosirdelatendenciapandemicadecovid19enperu AT lazarteriveraantonio modelosirdelatendenciapandemicadecovid19enperu |