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

Autor: Mohd Kashif, Ansar Anjum, Indu Tyagi, Yasser Mahfooz
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: MAPAN
ISSN: 0974-9853
0970-3950
Popis: 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 × 106 confirmed cases on August 08, 2020, of which India contributes a major part of 2.09 × 106 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.
Databáze: OpenAIRE
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