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RETRACTED ARTICLE: Communicable disease pandemic: a simulation model based on community transmission and social distancing
Communicable disease pandemic is a severe disease outbreak all over the countries and continents. Swine Flu, HIV/AIDS, corona virus disease-19 (COVID-19), etc., are some of the global pandemics in the world. The major cause of becoming pandemic is community transmission and lack of social distancing...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406017/ https://www.ncbi.nlm.nih.gov/pubmed/34483721 http://dx.doi.org/10.1007/s00500-021-06168-4 |
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author | Bhoi, Sourav Kumar Jena, Kalyan Kumar Mohapatra, Debasis Singh, Munesh Kumar, Raghvendra Long, Hoang Viet |
author_facet | Bhoi, Sourav Kumar Jena, Kalyan Kumar Mohapatra, Debasis Singh, Munesh Kumar, Raghvendra Long, Hoang Viet |
author_sort | Bhoi, Sourav Kumar |
collection | PubMed |
description | Communicable disease pandemic is a severe disease outbreak all over the countries and continents. Swine Flu, HIV/AIDS, corona virus disease-19 (COVID-19), etc., are some of the global pandemics in the world. The major cause of becoming pandemic is community transmission and lack of social distancing. Recently, COVID-19 is such a largest outbreak all over the world. This disease is a communicable disease which is spreading fastly due to community transmission, where the affected people in the community affect the heathy people in the community. Government is taking precautions by imposing social distancing in the countries or state to control the impact of COVID-19. Social distancing can reduce the community transmission of COVID-19 by reducing the number of infected persons in an area. This is performed by staying at home and maintaining social distance with people. It reduces the density of people in an area by which it is difficult for the virus to spread from one person to other. In this work, the community transmission is presented using simulations. It shows how an infected person affects the healthy persons in an area. Simulations also show how social distancing can control the spread of COVID-19. The simulation is performed in GNU Octave programming platform by considering number of infected persons and number of healthy persons as parameters. Results show that using the social distancing the number of infected persons can be reduced and heathy persons can be increased. Therefore, from the analysis it is concluded that social distancing will be a better solution of prevention from community transmission. |
format | Online Article Text |
id | pubmed-8406017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-84060172021-08-31 RETRACTED ARTICLE: Communicable disease pandemic: a simulation model based on community transmission and social distancing Bhoi, Sourav Kumar Jena, Kalyan Kumar Mohapatra, Debasis Singh, Munesh Kumar, Raghvendra Long, Hoang Viet Soft comput Focus Communicable disease pandemic is a severe disease outbreak all over the countries and continents. Swine Flu, HIV/AIDS, corona virus disease-19 (COVID-19), etc., are some of the global pandemics in the world. The major cause of becoming pandemic is community transmission and lack of social distancing. Recently, COVID-19 is such a largest outbreak all over the world. This disease is a communicable disease which is spreading fastly due to community transmission, where the affected people in the community affect the heathy people in the community. Government is taking precautions by imposing social distancing in the countries or state to control the impact of COVID-19. Social distancing can reduce the community transmission of COVID-19 by reducing the number of infected persons in an area. This is performed by staying at home and maintaining social distance with people. It reduces the density of people in an area by which it is difficult for the virus to spread from one person to other. In this work, the community transmission is presented using simulations. It shows how an infected person affects the healthy persons in an area. Simulations also show how social distancing can control the spread of COVID-19. The simulation is performed in GNU Octave programming platform by considering number of infected persons and number of healthy persons as parameters. Results show that using the social distancing the number of infected persons can be reduced and heathy persons can be increased. Therefore, from the analysis it is concluded that social distancing will be a better solution of prevention from community transmission. Springer Berlin Heidelberg 2021-08-31 2023 /pmc/articles/PMC8406017/ /pubmed/34483721 http://dx.doi.org/10.1007/s00500-021-06168-4 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. 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 | Focus Bhoi, Sourav Kumar Jena, Kalyan Kumar Mohapatra, Debasis Singh, Munesh Kumar, Raghvendra Long, Hoang Viet RETRACTED ARTICLE: Communicable disease pandemic: a simulation model based on community transmission and social distancing |
title | RETRACTED ARTICLE: Communicable disease pandemic: a simulation model based on community transmission and social distancing |
title_full | RETRACTED ARTICLE: Communicable disease pandemic: a simulation model based on community transmission and social distancing |
title_fullStr | RETRACTED ARTICLE: Communicable disease pandemic: a simulation model based on community transmission and social distancing |
title_full_unstemmed | RETRACTED ARTICLE: Communicable disease pandemic: a simulation model based on community transmission and social distancing |
title_short | RETRACTED ARTICLE: Communicable disease pandemic: a simulation model based on community transmission and social distancing |
title_sort | retracted article: communicable disease pandemic: a simulation model based on community transmission and social distancing |
topic | Focus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406017/ https://www.ncbi.nlm.nih.gov/pubmed/34483721 http://dx.doi.org/10.1007/s00500-021-06168-4 |
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