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Analysing the behaviour of doubling rates in 8 major countries affected by COVID-19 virus

BACKGROUND AND AIMS: Sars-CoV2 is a novel coronavirus that is transmitted to humans through zoonosis and characterised by mild to moderate pneumonia-like symptoms. The outbreak began in Wuhan, China, and has now spread on a global scale. Doubling time is the amount of period taken for a particular e...

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Autores principales: Mishra, Devanshu, Haleem, Abid, Javaid, Mohd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426258/
https://www.ncbi.nlm.nih.gov/pubmed/32834981
http://dx.doi.org/10.1016/j.jobcr.2020.08.007
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author Mishra, Devanshu
Haleem, Abid
Javaid, Mohd
author_facet Mishra, Devanshu
Haleem, Abid
Javaid, Mohd
author_sort Mishra, Devanshu
collection PubMed
description BACKGROUND AND AIMS: Sars-CoV2 is a novel coronavirus that is transmitted to humans through zoonosis and characterised by mild to moderate pneumonia-like symptoms. The outbreak began in Wuhan, China, and has now spread on a global scale. Doubling time is the amount of period taken for a particular entity (that tends to grow over time) to double its size/value. This study's prime target is to develop relationships between the variation in the doubling time of the number of cases of COVID-19 virus and various socio-economic factors responsible for them. These frameworks focus on the relationships instead of relational data, so here in graph structures, we have generated different patterns of doubling rates and drawn the inferences. METHODS: Only significant countries affected by the COVID-19 virus are studied, and accordingly, collected datasets of growth of cases in the form of spreadsheets. The doubling rate is determined by calculating the doubling time for each day and then plotting these datasets in graphical form. RESULTS: The doubling time of various countries is vastly affected by the preventive measures taken and the lockdown implementation's success. Higher testing rates helped identify the hosts of the virus; thus, countries with mass testing have lower doubling rates. Countries, where the virus spread started earlier, had less time to prepare themselves, and they were in initial stages, the doubling time suffered. A sudden dip in doubling time is due to a large gathering of people or not effective lockdown; thus, people's attitude contributes to an essential role in affecting the doubling time. CONCLUSION: The relationships between the spread of the virus and various factors such as dissimilarities in ethnic values, demographics, governing bodies, human resources, economy, and tourism of major countries are carried out to understand the differences in the virus's behaviour. This fast-moving pandemic has shown various defects and weaknesses in our healthcare systems, political organisations & economic stability and gives numerous lessons on how to enhance the ways that the global societies address similar epidemics. There is also a component that may share the same denominator is the necessity for requisite healthcare systems and medical staff. Still, the shortage of this component does not certainly mean that taking necessary steps would be ineffective. Transmission of COVID-19 to humans by zoonosis reveals that the global community is required to be observant concerning similar pandemics in the future.
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spelling pubmed-74262582020-08-14 Analysing the behaviour of doubling rates in 8 major countries affected by COVID-19 virus Mishra, Devanshu Haleem, Abid Javaid, Mohd J Oral Biol Craniofac Res Research Paper BACKGROUND AND AIMS: Sars-CoV2 is a novel coronavirus that is transmitted to humans through zoonosis and characterised by mild to moderate pneumonia-like symptoms. The outbreak began in Wuhan, China, and has now spread on a global scale. Doubling time is the amount of period taken for a particular entity (that tends to grow over time) to double its size/value. This study's prime target is to develop relationships between the variation in the doubling time of the number of cases of COVID-19 virus and various socio-economic factors responsible for them. These frameworks focus on the relationships instead of relational data, so here in graph structures, we have generated different patterns of doubling rates and drawn the inferences. METHODS: Only significant countries affected by the COVID-19 virus are studied, and accordingly, collected datasets of growth of cases in the form of spreadsheets. The doubling rate is determined by calculating the doubling time for each day and then plotting these datasets in graphical form. RESULTS: The doubling time of various countries is vastly affected by the preventive measures taken and the lockdown implementation's success. Higher testing rates helped identify the hosts of the virus; thus, countries with mass testing have lower doubling rates. Countries, where the virus spread started earlier, had less time to prepare themselves, and they were in initial stages, the doubling time suffered. A sudden dip in doubling time is due to a large gathering of people or not effective lockdown; thus, people's attitude contributes to an essential role in affecting the doubling time. CONCLUSION: The relationships between the spread of the virus and various factors such as dissimilarities in ethnic values, demographics, governing bodies, human resources, economy, and tourism of major countries are carried out to understand the differences in the virus's behaviour. This fast-moving pandemic has shown various defects and weaknesses in our healthcare systems, political organisations & economic stability and gives numerous lessons on how to enhance the ways that the global societies address similar epidemics. There is also a component that may share the same denominator is the necessity for requisite healthcare systems and medical staff. Still, the shortage of this component does not certainly mean that taking necessary steps would be ineffective. Transmission of COVID-19 to humans by zoonosis reveals that the global community is required to be observant concerning similar pandemics in the future. Elsevier 2020 2020-08-14 /pmc/articles/PMC7426258/ /pubmed/32834981 http://dx.doi.org/10.1016/j.jobcr.2020.08.007 Text en © 2020 Craniofacial Research Foundation. Published by Elsevier B.V. All rights reserved.
spellingShingle Research Paper
Mishra, Devanshu
Haleem, Abid
Javaid, Mohd
Analysing the behaviour of doubling rates in 8 major countries affected by COVID-19 virus
title Analysing the behaviour of doubling rates in 8 major countries affected by COVID-19 virus
title_full Analysing the behaviour of doubling rates in 8 major countries affected by COVID-19 virus
title_fullStr Analysing the behaviour of doubling rates in 8 major countries affected by COVID-19 virus
title_full_unstemmed Analysing the behaviour of doubling rates in 8 major countries affected by COVID-19 virus
title_short Analysing the behaviour of doubling rates in 8 major countries affected by COVID-19 virus
title_sort analysing the behaviour of doubling rates in 8 major countries affected by covid-19 virus
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426258/
https://www.ncbi.nlm.nih.gov/pubmed/32834981
http://dx.doi.org/10.1016/j.jobcr.2020.08.007
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