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Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook

A very special type of pneumonic disease that generated the COVID-19 was first identified in Wuhan, China in December 2019 and is spreading all over the world. The ongoing outbreak presents a challenge for data scientists to model COVID-19, when the epidemiological characteristics of the COVID-19 ar...

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Autor principal: Singh, Brijesh P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7604192/
http://dx.doi.org/10.1016/bs.host.2020.10.005
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author Singh, Brijesh P.
author_facet Singh, Brijesh P.
author_sort Singh, Brijesh P.
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description A very special type of pneumonic disease that generated the COVID-19 was first identified in Wuhan, China in December 2019 and is spreading all over the world. The ongoing outbreak presents a challenge for data scientists to model COVID-19, when the epidemiological characteristics of the COVID-19 are yet to be fully explained. The uncertainty around the COVID-19 with no vaccine and effective medicine available till today create additional pressure on the epidemiologists and policy makers. In such a crucial situation, it is very important to predict infected cases to support prevention of the disease and aid in the preparation of healthcare service. India is fighting efficiently against COVID-19 and facing greater challenges because of its large population and high population density. Though the government of India is taking all needful steps to prevent its spread but it is not enough to control and stop spread of the disease so far, perhaps due to defiant nature of people living in India. Effective measure to control this disease, medical professionals needs to know the estimated size of this pandemic and pace. In this study, an attempt has been made to understand the spreading capability of COVID-19 in India through some simple models. Findings suggest that the lockdown strategies implemented in India are not successfully reducing the pace of the pandemic significantly after first lockdown.
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spelling pubmed-76041922020-11-02 Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook Singh, Brijesh P. Handbook of Statistics Article A very special type of pneumonic disease that generated the COVID-19 was first identified in Wuhan, China in December 2019 and is spreading all over the world. The ongoing outbreak presents a challenge for data scientists to model COVID-19, when the epidemiological characteristics of the COVID-19 are yet to be fully explained. The uncertainty around the COVID-19 with no vaccine and effective medicine available till today create additional pressure on the epidemiologists and policy makers. In such a crucial situation, it is very important to predict infected cases to support prevention of the disease and aid in the preparation of healthcare service. India is fighting efficiently against COVID-19 and facing greater challenges because of its large population and high population density. Though the government of India is taking all needful steps to prevent its spread but it is not enough to control and stop spread of the disease so far, perhaps due to defiant nature of people living in India. Effective measure to control this disease, medical professionals needs to know the estimated size of this pandemic and pace. In this study, an attempt has been made to understand the spreading capability of COVID-19 in India through some simple models. Findings suggest that the lockdown strategies implemented in India are not successfully reducing the pace of the pandemic significantly after first lockdown. Elsevier B.V. 2021 2020-10-31 /pmc/articles/PMC7604192/ http://dx.doi.org/10.1016/bs.host.2020.10.005 Text en Copyright © 2021 Elsevier B.V. All rights reserved. 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, Brijesh P.
Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook
title Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook
title_full Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook
title_fullStr Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook
title_full_unstemmed Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook
title_short Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook
title_sort modeling and forecasting the spread of covid-19 pandemic in india and significance of lockdown: a mathematical outlook
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7604192/
http://dx.doi.org/10.1016/bs.host.2020.10.005
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