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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Main Authors: Atanu Bhattacharjee, Mukesh Kumar, Kamalesh Kumar Patel
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Clinical Epidemiology and Global Health
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2213398420301615
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spelling doaj-d602a05c50d84a0d8575e07b56db06242021-06-05T06:08:43ZengElsevierClinical Epidemiology and Global Health2213-39842021-01-0191720When COVID-19 will decline in India? Prediction by combination of recovery and case load rateAtanu Bhattacharjee0Mukesh Kumar1Kamalesh Kumar Patel2Section of Biostatistics, Centre for Cancer Epidemiology, TMC, Mumbai, India; Homi Bhaba National Institute, Mumbai, IndiaDepartment of Statistics, MMV, Banaras Hindu University, Varanasi, India; Corresponding author. Department of Statistics, MMV, Banaras Hindu University, Varanasi 221005, India.Department of Public Health, Indian Institute of Health Management Research, Jaipur, IndiaBackground: 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.http://www.sciencedirect.com/science/article/pii/S2213398420301615COVID-19Recovery rateCase load rateDeath rateIndia
collection DOAJ
language English
format Article
sources DOAJ
author Atanu Bhattacharjee
Mukesh Kumar
Kamalesh Kumar Patel
spellingShingle Atanu Bhattacharjee
Mukesh Kumar
Kamalesh Kumar Patel
When COVID-19 will decline in India? Prediction by combination of recovery and case load rate
Clinical Epidemiology and Global Health
COVID-19
Recovery rate
Case load rate
Death rate
India
author_facet Atanu Bhattacharjee
Mukesh Kumar
Kamalesh Kumar Patel
author_sort Atanu Bhattacharjee
title 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_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_sort when covid-19 will decline in india? prediction by combination of recovery and case load rate
publisher Elsevier
series Clinical Epidemiology and Global Health
issn 2213-3984
publishDate 2021-01-01
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.
topic COVID-19
Recovery rate
Case load rate
Death rate
India
url http://www.sciencedirect.com/science/article/pii/S2213398420301615
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