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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2021
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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. |
format | Online Article Text |
id | pubmed-7912971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
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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