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Universal Epidemic Curve for COVID-19 and Its Usage for Forecasting

We construct a universal epidemic curve for COVID-19 using the epidemic curves of eight nations that have reached saturation for the first phase and then fit an eight-degree polynomial that passes through the universal curve. We take India’s epidemic curve up to January 1, 2021 and match it with the...

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Autores principales: Sharma, Aryan, Sapkal, Srujan, Verma, Mahendra K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912971/
https://www.ncbi.nlm.nih.gov/pubmed/35837577
http://dx.doi.org/10.1007/s41403-021-00210-5
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author Sharma, Aryan
Sapkal, Srujan
Verma, Mahendra K.
author_facet Sharma, Aryan
Sapkal, Srujan
Verma, Mahendra K.
author_sort Sharma, Aryan
collection PubMed
description We construct a universal epidemic curve for COVID-19 using the epidemic curves of eight nations that have reached saturation for the first phase and then fit an eight-degree polynomial that passes through the universal curve. We take India’s epidemic curve up to January 1, 2021 and match it with the universal curve by minimizing square-root error between the model prediction and actual value. The constructed curve has been used to forecast epidemic evolution up to February 25, 2021. The predictions of our model and those of supermodel for India (Agrawal et al. in Indian J Med Res, 2020; Vidyasagar et al. in https://www.iith.ac.in/~m_vidyasagar/arXiv/Super-Model.pdf, 2020) are reasonably close to each other considering the uncertainties in data fitting.
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spelling pubmed-79129712021-03-01 Universal Epidemic Curve for COVID-19 and Its Usage for Forecasting Sharma, Aryan Sapkal, Srujan Verma, Mahendra K. Trans Indian Natl. Acad. Eng. Original Article We construct a universal epidemic curve for COVID-19 using the epidemic curves of eight nations that have reached saturation for the first phase and then fit an eight-degree polynomial that passes through the universal curve. We take India’s epidemic curve up to January 1, 2021 and match it with the universal curve by minimizing square-root error between the model prediction and actual value. The constructed curve has been used to forecast epidemic evolution up to February 25, 2021. The predictions of our model and those of supermodel for India (Agrawal et al. in Indian J Med Res, 2020; Vidyasagar et al. in https://www.iith.ac.in/~m_vidyasagar/arXiv/Super-Model.pdf, 2020) are reasonably close to each other considering the uncertainties in data fitting. Springer Singapore 2021-02-27 2021 /pmc/articles/PMC7912971/ /pubmed/35837577 http://dx.doi.org/10.1007/s41403-021-00210-5 Text en © Indian National Academy of Engineering 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Sharma, Aryan
Sapkal, Srujan
Verma, Mahendra K.
Universal Epidemic Curve for COVID-19 and Its Usage for Forecasting
title Universal Epidemic Curve for COVID-19 and Its Usage for Forecasting
title_full Universal Epidemic Curve for COVID-19 and Its Usage for Forecasting
title_fullStr Universal Epidemic Curve for COVID-19 and Its Usage for Forecasting
title_full_unstemmed Universal Epidemic Curve for COVID-19 and Its Usage for Forecasting
title_short Universal Epidemic Curve for COVID-19 and Its Usage for Forecasting
title_sort universal epidemic curve for covid-19 and its usage for forecasting
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912971/
https://www.ncbi.nlm.nih.gov/pubmed/35837577
http://dx.doi.org/10.1007/s41403-021-00210-5
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