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COVID-19: Journey so far and Deep Insight Using Crowdsourced Data in India

The aim of this study is to assemble the data and reflect the epidemiological statistics required as well as apply mathematical prototypical approach of the new outbreak that cover all perspectives of the facts and figures as of August 08, 2020, and thereby suggest the direction of the forthcoming e...

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Autores principales: Tyagi, Indu, Mahfooz, Yasser, Kashif, Mohd., Anjum, Ansar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778698/
http://dx.doi.org/10.1007/s12647-020-00416-y
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author Tyagi, Indu
Mahfooz, Yasser
Kashif, Mohd.
Anjum, Ansar
author_facet Tyagi, Indu
Mahfooz, Yasser
Kashif, Mohd.
Anjum, Ansar
author_sort Tyagi, Indu
collection PubMed
description The aim of this study is to assemble the data and reflect the epidemiological statistics required as well as apply mathematical prototypical approach of the new outbreak that cover all perspectives of the facts and figures as of August 08, 2020, and thereby suggest the direction of the forthcoming epidemic situation in India for all policy makers. The outburst of the new fatal strain of coronavirus from an animal-to-human fall over in China has infected at least 204 countries as well as territories throughout the world. As of April 03, 2020, almost 972,303 confirmed cases and 50,321 deaths have been reported across the world due to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) that attained a huge elevation to 19.3 × 10(6) confirmed cases on August 08, 2020, of which India contributes a major part of 2.09 × 10(6) confirmed cases. It is the first neoliberal virus that easily encompasses its danger chiefly to easily susceptible including the malnutrition, the ill, and old people. As the world struggles with pandemic, India with its second largest population of more than 1.3 billion people in the world is likely to have many more cases than the numbers currently being reported. This has put numerous thousand individuals under observation in the country due to clinical symptoms, recent travel to China, Italy, Iran, and concordant entries in the relevant tailing surveys. The novelty of this approach is to rely on the exclusive source of official data, for social media and daily tracking of news reports in India that collected and curated the pertinent information.
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spelling pubmed-77786982021-01-04 COVID-19: Journey so far and Deep Insight Using Crowdsourced Data in India Tyagi, Indu Mahfooz, Yasser Kashif, Mohd. Anjum, Ansar MAPAN Original Article The aim of this study is to assemble the data and reflect the epidemiological statistics required as well as apply mathematical prototypical approach of the new outbreak that cover all perspectives of the facts and figures as of August 08, 2020, and thereby suggest the direction of the forthcoming epidemic situation in India for all policy makers. The outburst of the new fatal strain of coronavirus from an animal-to-human fall over in China has infected at least 204 countries as well as territories throughout the world. As of April 03, 2020, almost 972,303 confirmed cases and 50,321 deaths have been reported across the world due to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) that attained a huge elevation to 19.3 × 10(6) confirmed cases on August 08, 2020, of which India contributes a major part of 2.09 × 10(6) confirmed cases. It is the first neoliberal virus that easily encompasses its danger chiefly to easily susceptible including the malnutrition, the ill, and old people. As the world struggles with pandemic, India with its second largest population of more than 1.3 billion people in the world is likely to have many more cases than the numbers currently being reported. This has put numerous thousand individuals under observation in the country due to clinical symptoms, recent travel to China, Italy, Iran, and concordant entries in the relevant tailing surveys. The novelty of this approach is to rely on the exclusive source of official data, for social media and daily tracking of news reports in India that collected and curated the pertinent information. Springer India 2021-01-03 2021 /pmc/articles/PMC7778698/ http://dx.doi.org/10.1007/s12647-020-00416-y Text en © Metrology Society of India 2021 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 Original Article
Tyagi, Indu
Mahfooz, Yasser
Kashif, Mohd.
Anjum, Ansar
COVID-19: Journey so far and Deep Insight Using Crowdsourced Data in India
title COVID-19: Journey so far and Deep Insight Using Crowdsourced Data in India
title_full COVID-19: Journey so far and Deep Insight Using Crowdsourced Data in India
title_fullStr COVID-19: Journey so far and Deep Insight Using Crowdsourced Data in India
title_full_unstemmed COVID-19: Journey so far and Deep Insight Using Crowdsourced Data in India
title_short COVID-19: Journey so far and Deep Insight Using Crowdsourced Data in India
title_sort covid-19: journey so far and deep insight using crowdsourced data in india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778698/
http://dx.doi.org/10.1007/s12647-020-00416-y
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