Cargando…
Research on epidemic spread model based on cold chain input
In recent years, the new type of coronary pneumonia (COVID-19) has become a highly contagious disease worldwide, posing a serious threat to the public health. This paper is based on the SEIR model of the new coronavirus pneumonia, considering the impact of cold chain input and re-positive on the spr...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851120/ https://www.ncbi.nlm.nih.gov/pubmed/36694866 http://dx.doi.org/10.1007/s00500-023-07823-8 |
_version_ | 1784872342422290432 |
---|---|
author | Chen, Bo-Lun Yuan, Ben Jiang, Win-Xin Yu, Yong-Tao Ji, Min |
author_facet | Chen, Bo-Lun Yuan, Ben Jiang, Win-Xin Yu, Yong-Tao Ji, Min |
author_sort | Chen, Bo-Lun |
collection | PubMed |
description | In recent years, the new type of coronary pneumonia (COVID-19) has become a highly contagious disease worldwide, posing a serious threat to the public health. This paper is based on the SEIR model of the new coronavirus pneumonia, considering the impact of cold chain input and re-positive on the spread of the virus in the COVID-19. In the process of model design, the food cold chain and re-positive are used as parameters, and its stability is analyzed and simulated. The experimental results show that taking into account the cold chain input and re-positive can effectively simulate the spread of the epidemic. The research results have important research value and practical significance for the prevention and control of the COVID-19 and the prediction of important time nodes. |
format | Online Article Text |
id | pubmed-9851120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-98511202023-01-20 Research on epidemic spread model based on cold chain input Chen, Bo-Lun Yuan, Ben Jiang, Win-Xin Yu, Yong-Tao Ji, Min Soft comput Foundation, Algebraic, and Analytical Methods in Soft Computing In recent years, the new type of coronary pneumonia (COVID-19) has become a highly contagious disease worldwide, posing a serious threat to the public health. This paper is based on the SEIR model of the new coronavirus pneumonia, considering the impact of cold chain input and re-positive on the spread of the virus in the COVID-19. In the process of model design, the food cold chain and re-positive are used as parameters, and its stability is analyzed and simulated. The experimental results show that taking into account the cold chain input and re-positive can effectively simulate the spread of the epidemic. The research results have important research value and practical significance for the prevention and control of the COVID-19 and the prediction of important time nodes. Springer Berlin Heidelberg 2023-01-19 2023 /pmc/articles/PMC9851120/ /pubmed/36694866 http://dx.doi.org/10.1007/s00500-023-07823-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Foundation, Algebraic, and Analytical Methods in Soft Computing Chen, Bo-Lun Yuan, Ben Jiang, Win-Xin Yu, Yong-Tao Ji, Min Research on epidemic spread model based on cold chain input |
title | Research on epidemic spread model based on cold chain input |
title_full | Research on epidemic spread model based on cold chain input |
title_fullStr | Research on epidemic spread model based on cold chain input |
title_full_unstemmed | Research on epidemic spread model based on cold chain input |
title_short | Research on epidemic spread model based on cold chain input |
title_sort | research on epidemic spread model based on cold chain input |
topic | Foundation, Algebraic, and Analytical Methods in Soft Computing |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851120/ https://www.ncbi.nlm.nih.gov/pubmed/36694866 http://dx.doi.org/10.1007/s00500-023-07823-8 |
work_keys_str_mv | AT chenbolun researchonepidemicspreadmodelbasedoncoldchaininput AT yuanben researchonepidemicspreadmodelbasedoncoldchaininput AT jiangwinxin researchonepidemicspreadmodelbasedoncoldchaininput AT yuyongtao researchonepidemicspreadmodelbasedoncoldchaininput AT jimin researchonepidemicspreadmodelbasedoncoldchaininput |