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When COVID-19 will decline in India? Prediction by combination of recovery and case load rate

BACKGROUND: The World Health Organization (WHO) declared COVID-19 as a pandemic on March 11, 2020. There is sudden need of statistical modeling due to onset of COVID-19 pandemic across the world. But health planning and policy requirements need the estimates of disease problem from clinical data. OB...

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Autores principales: Bhattacharjee, Atanu, Kumar, Mukesh, Patel, Kamalesh Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier, a division of RELX India, Pvt. Ltd on behalf of INDIACLEN. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308770/
https://www.ncbi.nlm.nih.gov/pubmed/32838057
http://dx.doi.org/10.1016/j.cegh.2020.06.004
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author Bhattacharjee, Atanu
Kumar, Mukesh
Patel, Kamalesh Kumar
author_facet Bhattacharjee, Atanu
Kumar, Mukesh
Patel, Kamalesh Kumar
author_sort Bhattacharjee, Atanu
collection PubMed
description BACKGROUND: The World Health Organization (WHO) declared COVID-19 as a pandemic on March 11, 2020. There is sudden need of statistical modeling due to onset of COVID-19 pandemic across the world. But health planning and policy requirements need the estimates of disease problem from clinical data. OBJECTIVE: The present study aimed to predict the declination of COVID-19 using recovery rate and case load rate on basis of available data from India. METHODS: The reported COVID-19 cases in the country were obtained from website (https://datahub.io/core/covid-19#resource-covid-19_zip/). The confirmed cases, recovered cases and deaths were used for estimating recovery rate, case load rate and death rate till June 04, 2020. RESULTS: A total of 216919 confirmed cases were reported nationwide in India on June 04, 2020. It is found that the recovery rate increased to 47.99% and case load rate decreased to 49.21%. Death rate is found to be very low 2.80%. Accordingly, coincidence of the difference of case load rate and recovery rate (delta) will reveal a declination in expected COVID-19 cases. CONCLUSION: The epidemic in the country was mainly caused by the movement of people from various foreign countries to India. Lockdown as restricting the migration of population and decision taken by the government to quarantine the population may greatly reduce the risk of continued spread of the epidemic in India. This study predicts that when the case load rate gets lesser than recovery rate, there after COVID-19 patients would be started to decline.
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spelling pubmed-73087702020-06-23 When COVID-19 will decline in India? Prediction by combination of recovery and case load rate Bhattacharjee, Atanu Kumar, Mukesh Patel, Kamalesh Kumar Clin Epidemiol Glob Health Article BACKGROUND: The World Health Organization (WHO) declared COVID-19 as a pandemic on March 11, 2020. There is sudden need of statistical modeling due to onset of COVID-19 pandemic across the world. But health planning and policy requirements need the estimates of disease problem from clinical data. OBJECTIVE: The present study aimed to predict the declination of COVID-19 using recovery rate and case load rate on basis of available data from India. METHODS: The reported COVID-19 cases in the country were obtained from website (https://datahub.io/core/covid-19#resource-covid-19_zip/). The confirmed cases, recovered cases and deaths were used for estimating recovery rate, case load rate and death rate till June 04, 2020. RESULTS: A total of 216919 confirmed cases were reported nationwide in India on June 04, 2020. It is found that the recovery rate increased to 47.99% and case load rate decreased to 49.21%. Death rate is found to be very low 2.80%. Accordingly, coincidence of the difference of case load rate and recovery rate (delta) will reveal a declination in expected COVID-19 cases. CONCLUSION: The epidemic in the country was mainly caused by the movement of people from various foreign countries to India. Lockdown as restricting the migration of population and decision taken by the government to quarantine the population may greatly reduce the risk of continued spread of the epidemic in India. This study predicts that when the case load rate gets lesser than recovery rate, there after COVID-19 patients would be started to decline. Published by Elsevier, a division of RELX India, Pvt. Ltd on behalf of INDIACLEN. 2021 2020-06-23 /pmc/articles/PMC7308770/ /pubmed/32838057 http://dx.doi.org/10.1016/j.cegh.2020.06.004 Text en © 2020 Published by Elsevier, a division of RELX India, Pvt. Ltd on behalf of INDIACLEN. 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
Bhattacharjee, Atanu
Kumar, Mukesh
Patel, Kamalesh Kumar
When COVID-19 will decline in India? Prediction by combination of recovery and case load rate
title When COVID-19 will decline in India? Prediction by combination of recovery and case load rate
title_full When COVID-19 will decline in India? Prediction by combination of recovery and case load rate
title_fullStr When COVID-19 will decline in India? Prediction by combination of recovery and case load rate
title_full_unstemmed When COVID-19 will decline in India? Prediction by combination of recovery and case load rate
title_short When COVID-19 will decline in India? Prediction by combination of recovery and case load rate
title_sort when covid-19 will decline in india? prediction by combination of recovery and case load rate
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308770/
https://www.ncbi.nlm.nih.gov/pubmed/32838057
http://dx.doi.org/10.1016/j.cegh.2020.06.004
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