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Model for prediction of death rate due to COVID-19 transmission and required precautions

Study has been carried out to monitor the progression of COVID-19 and prediction of deceased in a period of time. To get this parameter, three parameters related COVID-19 infected persons such as total infected, recovered and deceased persons have been covered. A Multivariate Regression Model was de...

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Autor principal: Singh, Atul P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418705/
https://www.ncbi.nlm.nih.gov/pubmed/32837925
http://dx.doi.org/10.1016/j.matpr.2020.07.731
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author Singh, Atul P.
author_facet Singh, Atul P.
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description Study has been carried out to monitor the progression of COVID-19 and prediction of deceased in a period of time. To get this parameter, three parameters related COVID-19 infected persons such as total infected, recovered and deceased persons have been covered. A Multivariate Regression Model was developed to predict the Number of Deceased Persons based on the data available for Number of Infected and Recovered Persons. On the basis of graph plots, it observed that numbers of factors are important to the transmission of corona virus and among all if temperature is an important parameter then it will be hard time for humid states especially South Asian countries.
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spelling pubmed-74187052020-08-12 Model for prediction of death rate due to COVID-19 transmission and required precautions Singh, Atul P. Mater Today Proc Article Study has been carried out to monitor the progression of COVID-19 and prediction of deceased in a period of time. To get this parameter, three parameters related COVID-19 infected persons such as total infected, recovered and deceased persons have been covered. A Multivariate Regression Model was developed to predict the Number of Deceased Persons based on the data available for Number of Infected and Recovered Persons. On the basis of graph plots, it observed that numbers of factors are important to the transmission of corona virus and among all if temperature is an important parameter then it will be hard time for humid states especially South Asian countries. Elsevier Ltd. 2021 2020-08-11 /pmc/articles/PMC7418705/ /pubmed/32837925 http://dx.doi.org/10.1016/j.matpr.2020.07.731 Text en © 2020 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Newer Trends and Innovation in Mechanical Engineering: Materials Science. 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
Singh, Atul P.
Model for prediction of death rate due to COVID-19 transmission and required precautions
title Model for prediction of death rate due to COVID-19 transmission and required precautions
title_full Model for prediction of death rate due to COVID-19 transmission and required precautions
title_fullStr Model for prediction of death rate due to COVID-19 transmission and required precautions
title_full_unstemmed Model for prediction of death rate due to COVID-19 transmission and required precautions
title_short Model for prediction of death rate due to COVID-19 transmission and required precautions
title_sort model for prediction of death rate due to covid-19 transmission and required precautions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418705/
https://www.ncbi.nlm.nih.gov/pubmed/32837925
http://dx.doi.org/10.1016/j.matpr.2020.07.731
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