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Successive waves of COVID 19: confinement effects on virus-prevalence with a mathematical model
BACKGROUND: A pandemic outbreak of severe acute respiratory syndrome coronavirus 2 (COVID 19) incidence data are largely available online. Until August 17, COVID 19 has hit more than 22 million individuals all over the globe. So, it is urged to get clear information about the prevalence of the virus...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556837/ https://www.ncbi.nlm.nih.gov/pubmed/34717766 http://dx.doi.org/10.1186/s40001-021-00596-6 |
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author | Abdalla, S. Bakhshwin, Duaa Shirbeeny, W. Bakhshwin, Ahmed Bahabri, F. Bakhshwin, Abdulaziz Alsaggaf, Samar M. |
author_facet | Abdalla, S. Bakhshwin, Duaa Shirbeeny, W. Bakhshwin, Ahmed Bahabri, F. Bakhshwin, Abdulaziz Alsaggaf, Samar M. |
author_sort | Abdalla, S. |
collection | PubMed |
description | BACKGROUND: A pandemic outbreak of severe acute respiratory syndrome coronavirus 2 (COVID 19) incidence data are largely available online. Until August 17, COVID 19 has hit more than 22 million individuals all over the globe. So, it is urged to get clear information about the prevalence of the virus. Therefore, one can manipulate easily a suitable mathematical model to fit these published data. METHODS: We propose a mathematical model that considers the total population, in 25 countries, either infected by COVID 19 or confined (safe) during the period from November 17, 2019, to August 17, 2020. The model considers the total population as a complex number; the imaginary part is the number of infected individuals and the real part is the number of confined individuals. This classification combined with mathematical treatments leads to a transmission dynamics of the virus to be as wave-like motion. The virus can hit any country either by one wave or by successive waves (up to 11 waves). FINDINGS: We find net discrimination between the 25 countries investigated in this report. The immediate response to the first attack is a substantial parameter to determine whether the epidemic attack will be in one wave or it can be in successive waves. For example, the best case was such as individuals in China hit by one wave while the individuals in the USA were attacked by nine waves; it is the worst case all over the globe. In addition, the model differentiates between the daily reproduction numbers (R(d0)) and the median reproduction number (R(0)). We have found that R(d0) decreases exponentially with time from high values down to zero at the wave maximum point; and R(0) varies from a country to another. For example, the virus hit individuals in Germany in R(0) = 1.39 (96% CI 1.01–3.87) and in the USA R(0) = 3.81 (91% CI 1.71–5.15). We have found that twice the virus has hit both the USA and Iran. The great protestation of black matter lives in the USA and the great assemblage of the new Iranian year, on March 21, 2020, have been the cause of the second epidemic attack in both countries. INTERPRETATION: Our results show that COVID 19 transmission depends on the prompt reaction against the first viral-wave. The reaction depends on both the social behaviour of individuals and on the swift system-decision by the governmental decision-maker(s). The Chinese strictly follow the decision-maker and therefore the virus hit by only one wave; while in the USA, the system-decision was different and the American-responses were different, therefore ten waves followed the first wave. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-021-00596-6. |
format | Online Article Text |
id | pubmed-8556837 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85568372021-11-01 Successive waves of COVID 19: confinement effects on virus-prevalence with a mathematical model Abdalla, S. Bakhshwin, Duaa Shirbeeny, W. Bakhshwin, Ahmed Bahabri, F. Bakhshwin, Abdulaziz Alsaggaf, Samar M. Eur J Med Res Research BACKGROUND: A pandemic outbreak of severe acute respiratory syndrome coronavirus 2 (COVID 19) incidence data are largely available online. Until August 17, COVID 19 has hit more than 22 million individuals all over the globe. So, it is urged to get clear information about the prevalence of the virus. Therefore, one can manipulate easily a suitable mathematical model to fit these published data. METHODS: We propose a mathematical model that considers the total population, in 25 countries, either infected by COVID 19 or confined (safe) during the period from November 17, 2019, to August 17, 2020. The model considers the total population as a complex number; the imaginary part is the number of infected individuals and the real part is the number of confined individuals. This classification combined with mathematical treatments leads to a transmission dynamics of the virus to be as wave-like motion. The virus can hit any country either by one wave or by successive waves (up to 11 waves). FINDINGS: We find net discrimination between the 25 countries investigated in this report. The immediate response to the first attack is a substantial parameter to determine whether the epidemic attack will be in one wave or it can be in successive waves. For example, the best case was such as individuals in China hit by one wave while the individuals in the USA were attacked by nine waves; it is the worst case all over the globe. In addition, the model differentiates between the daily reproduction numbers (R(d0)) and the median reproduction number (R(0)). We have found that R(d0) decreases exponentially with time from high values down to zero at the wave maximum point; and R(0) varies from a country to another. For example, the virus hit individuals in Germany in R(0) = 1.39 (96% CI 1.01–3.87) and in the USA R(0) = 3.81 (91% CI 1.71–5.15). We have found that twice the virus has hit both the USA and Iran. The great protestation of black matter lives in the USA and the great assemblage of the new Iranian year, on March 21, 2020, have been the cause of the second epidemic attack in both countries. INTERPRETATION: Our results show that COVID 19 transmission depends on the prompt reaction against the first viral-wave. The reaction depends on both the social behaviour of individuals and on the swift system-decision by the governmental decision-maker(s). The Chinese strictly follow the decision-maker and therefore the virus hit by only one wave; while in the USA, the system-decision was different and the American-responses were different, therefore ten waves followed the first wave. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-021-00596-6. BioMed Central 2021-10-30 /pmc/articles/PMC8556837/ /pubmed/34717766 http://dx.doi.org/10.1186/s40001-021-00596-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Abdalla, S. Bakhshwin, Duaa Shirbeeny, W. Bakhshwin, Ahmed Bahabri, F. Bakhshwin, Abdulaziz Alsaggaf, Samar M. Successive waves of COVID 19: confinement effects on virus-prevalence with a mathematical model |
title | Successive waves of COVID 19: confinement effects on virus-prevalence with a mathematical model |
title_full | Successive waves of COVID 19: confinement effects on virus-prevalence with a mathematical model |
title_fullStr | Successive waves of COVID 19: confinement effects on virus-prevalence with a mathematical model |
title_full_unstemmed | Successive waves of COVID 19: confinement effects on virus-prevalence with a mathematical model |
title_short | Successive waves of COVID 19: confinement effects on virus-prevalence with a mathematical model |
title_sort | successive waves of covid 19: confinement effects on virus-prevalence with a mathematical model |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556837/ https://www.ncbi.nlm.nih.gov/pubmed/34717766 http://dx.doi.org/10.1186/s40001-021-00596-6 |
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