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Data science: a survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (COVID-19) using ANOVA
Since the outbreak of the coronavirus disease 2019 (COVID-19) in Wuhan, China, in late December 2019, the disease has already affected over 200 countries and territories in less than 4 months. On March 11, 2020, the WHO declared the outbreak as a pandemic. As of April 25, 2020, the contagious diseas...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989132/ http://dx.doi.org/10.1016/B978-0-323-90769-9.00001-3 |
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author | Mohammed Harun Babu, R. Shebana, M. Mohammed Harish, R. Kanimozhi, V. Arun Kumar, K. |
author_facet | Mohammed Harun Babu, R. Shebana, M. Mohammed Harish, R. Kanimozhi, V. Arun Kumar, K. |
author_sort | Mohammed Harun Babu, R. |
collection | PubMed |
description | Since the outbreak of the coronavirus disease 2019 (COVID-19) in Wuhan, China, in late December 2019, the disease has already affected over 200 countries and territories in less than 4 months. On March 11, 2020, the WHO declared the outbreak as a pandemic. As of April 25, 2020, the contagious disease has already infected over 2,919,404 people and the number of deaths reached nearly 206,482. As the disease is spreading rapidly, very less information is available regarding the spread of the novel virus and its effect over various countries. With the help of data science and its latest applications, this chapter aims to explain the rapid spread and impact of the novel coronavirus infection over individual countries. In this chapter, we have first explained about the evolution and transmission of viral diseases from animals to humans, next discussed about the various statistical methods used for the analysis of the spread of the disease, and finally come up with a comparison of the past 2 months of the pandemic (March and April). This chapter will give an insight of the application of data science in analyzing the latest COVID-19 pandemic and its impact. |
format | Online Article Text |
id | pubmed-8989132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-89891322022-04-11 Data science: a survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (COVID-19) using ANOVA Mohammed Harun Babu, R. Shebana, M. Mohammed Harish, R. Kanimozhi, V. Arun Kumar, K. Data Science for COVID-19 Article Since the outbreak of the coronavirus disease 2019 (COVID-19) in Wuhan, China, in late December 2019, the disease has already affected over 200 countries and territories in less than 4 months. On March 11, 2020, the WHO declared the outbreak as a pandemic. As of April 25, 2020, the contagious disease has already infected over 2,919,404 people and the number of deaths reached nearly 206,482. As the disease is spreading rapidly, very less information is available regarding the spread of the novel virus and its effect over various countries. With the help of data science and its latest applications, this chapter aims to explain the rapid spread and impact of the novel coronavirus infection over individual countries. In this chapter, we have first explained about the evolution and transmission of viral diseases from animals to humans, next discussed about the various statistical methods used for the analysis of the spread of the disease, and finally come up with a comparison of the past 2 months of the pandemic (March and April). This chapter will give an insight of the application of data science in analyzing the latest COVID-19 pandemic and its impact. 2022 2022-01-14 /pmc/articles/PMC8989132/ http://dx.doi.org/10.1016/B978-0-323-90769-9.00001-3 Text en Copyright © 2022 Elsevier Inc. 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 Mohammed Harun Babu, R. Shebana, M. Mohammed Harish, R. Kanimozhi, V. Arun Kumar, K. Data science: a survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (COVID-19) using ANOVA |
title | Data science: a survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (COVID-19) using ANOVA |
title_full | Data science: a survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (COVID-19) using ANOVA |
title_fullStr | Data science: a survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (COVID-19) using ANOVA |
title_full_unstemmed | Data science: a survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (COVID-19) using ANOVA |
title_short | Data science: a survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (COVID-19) using ANOVA |
title_sort | data science: a survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (covid-19) using anova |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989132/ http://dx.doi.org/10.1016/B978-0-323-90769-9.00001-3 |
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