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Estimation of SIR model’s parameters of COVID-19 in Algeria
BACKGROUND: The coronavirus disease 2019 (COVID-19) is reported in Algeria on February 25th, 2020. Since then, the number is still increasing leading to a total number of 36,699 cases and 1333 deaths on August 12th, 2020. Thus, comprehension of the epidemic curve is very important to predict its evo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570398/ https://www.ncbi.nlm.nih.gov/pubmed/33100825 http://dx.doi.org/10.1186/s42269-020-00434-5 |
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author | Lounis, Mohamed Bagal, Dilip Kumar |
author_facet | Lounis, Mohamed Bagal, Dilip Kumar |
author_sort | Lounis, Mohamed |
collection | PubMed |
description | BACKGROUND: The coronavirus disease 2019 (COVID-19) is reported in Algeria on February 25th, 2020. Since then, the number is still increasing leading to a total number of 36,699 cases and 1333 deaths on August 12th, 2020. Thus, comprehension of the epidemic curve is very important to predict its evolution and subsequently adapt the best prevention strategies. In this way, the current study was conducted to estimate the parameters of the classical SIR model and to predict the peak of the COVID-19 epidemic in Algeria using data from February 25th, 2020 to August 12th, 2020. RESULTS: Results showed that the peak of the epidemic will be reached on September 8th, 2021 and the total infected persons will exceed 800,000 cases at the end of the epidemic. Also, more than 15 million persons will be susceptible. The reproduction number (R(0)) is estimated at 1.23254. CONCLUSION: These results may be helpful for the Algerian authorities to adapt their strategies and may be taken into consideration in the future phase of discontainment. |
format | Online Article Text |
id | pubmed-7570398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-75703982020-10-20 Estimation of SIR model’s parameters of COVID-19 in Algeria Lounis, Mohamed Bagal, Dilip Kumar Bull Natl Res Cent Research BACKGROUND: The coronavirus disease 2019 (COVID-19) is reported in Algeria on February 25th, 2020. Since then, the number is still increasing leading to a total number of 36,699 cases and 1333 deaths on August 12th, 2020. Thus, comprehension of the epidemic curve is very important to predict its evolution and subsequently adapt the best prevention strategies. In this way, the current study was conducted to estimate the parameters of the classical SIR model and to predict the peak of the COVID-19 epidemic in Algeria using data from February 25th, 2020 to August 12th, 2020. RESULTS: Results showed that the peak of the epidemic will be reached on September 8th, 2021 and the total infected persons will exceed 800,000 cases at the end of the epidemic. Also, more than 15 million persons will be susceptible. The reproduction number (R(0)) is estimated at 1.23254. CONCLUSION: These results may be helpful for the Algerian authorities to adapt their strategies and may be taken into consideration in the future phase of discontainment. Springer Berlin Heidelberg 2020-10-19 2020 /pmc/articles/PMC7570398/ /pubmed/33100825 http://dx.doi.org/10.1186/s42269-020-00434-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Lounis, Mohamed Bagal, Dilip Kumar Estimation of SIR model’s parameters of COVID-19 in Algeria |
title | Estimation of SIR model’s parameters of COVID-19 in Algeria |
title_full | Estimation of SIR model’s parameters of COVID-19 in Algeria |
title_fullStr | Estimation of SIR model’s parameters of COVID-19 in Algeria |
title_full_unstemmed | Estimation of SIR model’s parameters of COVID-19 in Algeria |
title_short | Estimation of SIR model’s parameters of COVID-19 in Algeria |
title_sort | estimation of sir model’s parameters of covid-19 in algeria |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570398/ https://www.ncbi.nlm.nih.gov/pubmed/33100825 http://dx.doi.org/10.1186/s42269-020-00434-5 |
work_keys_str_mv | AT lounismohamed estimationofsirmodelsparametersofcovid19inalgeria AT bagaldilipkumar estimationofsirmodelsparametersofcovid19inalgeria |