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COVID-19 outbreak data analysis and prediction
Covid-19 is a novel pandemic disease with no potential vaccine treatment or medicine, the world is facing currently as of now. The death toll has increased to several lakhs and recovery rate is comparatively very less, was initially spotted in Wuhan (China). This spreads through close contact with p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722230/ https://www.ncbi.nlm.nih.gov/pubmed/36507366 http://dx.doi.org/10.1016/j.measen.2022.100585 |
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author | Anandan, R. Nalini, T. Chiwhane, Shwetambari Shanmuganathan, M. Radhakrishnan, P. |
author_facet | Anandan, R. Nalini, T. Chiwhane, Shwetambari Shanmuganathan, M. Radhakrishnan, P. |
author_sort | Anandan, R. |
collection | PubMed |
description | Covid-19 is a novel pandemic disease with no potential vaccine treatment or medicine, the world is facing currently as of now. The death toll has increased to several lakhs and recovery rate is comparatively very less, was initially spotted in Wuhan (China). This spreads through close contact with people and socializing. The number of infected people varies with different parts of the world In our particular country India we are going through the lock down period which is the only vaccine to promote “social distancing” The hurdle arose due to the widespread of corona is major economy loss in combo with innocent lives. In this manuscript, we are visualizing the dataset which is publicly available to map, differentiate and separate the data in order to segregate the places that are most prone and perform basic regression to identify and predict the increasability of the counts from the dataset. |
format | Online Article Text |
id | pubmed-9722230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97222302022-12-06 COVID-19 outbreak data analysis and prediction Anandan, R. Nalini, T. Chiwhane, Shwetambari Shanmuganathan, M. Radhakrishnan, P. Measur Sens Article Covid-19 is a novel pandemic disease with no potential vaccine treatment or medicine, the world is facing currently as of now. The death toll has increased to several lakhs and recovery rate is comparatively very less, was initially spotted in Wuhan (China). This spreads through close contact with people and socializing. The number of infected people varies with different parts of the world In our particular country India we are going through the lock down period which is the only vaccine to promote “social distancing” The hurdle arose due to the widespread of corona is major economy loss in combo with innocent lives. In this manuscript, we are visualizing the dataset which is publicly available to map, differentiate and separate the data in order to segregate the places that are most prone and perform basic regression to identify and predict the increasability of the counts from the dataset. The Authors. Published by Elsevier Ltd. 2023-02 2022-12-05 /pmc/articles/PMC9722230/ /pubmed/36507366 http://dx.doi.org/10.1016/j.measen.2022.100585 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Anandan, R. Nalini, T. Chiwhane, Shwetambari Shanmuganathan, M. Radhakrishnan, P. COVID-19 outbreak data analysis and prediction |
title | COVID-19 outbreak data analysis and prediction |
title_full | COVID-19 outbreak data analysis and prediction |
title_fullStr | COVID-19 outbreak data analysis and prediction |
title_full_unstemmed | COVID-19 outbreak data analysis and prediction |
title_short | COVID-19 outbreak data analysis and prediction |
title_sort | covid-19 outbreak data analysis and prediction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722230/ https://www.ncbi.nlm.nih.gov/pubmed/36507366 http://dx.doi.org/10.1016/j.measen.2022.100585 |
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