An Improved ISEIRD Model for COVID-19 Trend Simulations
2nd IEEE International Conference on Smart Technologies for Power, Energy and Control, STPEC 2021
; 2021.
Article
in English
| Scopus | ID: covidwho-1788776
ABSTRACT
This paper presents an improved SEIRD model (ISEIRD)for COVID-19 Trend Predictions by incorporating birth rate, natural death rate and re-positive rate. The proposed method is evaluated on 448 days of data (March 10, 2020May30, 2021).Our study shows that the ISEIRD model outperforms in simulating the covid-19 infections. The Python simulated results are included in the paper to validate the scheme. © 2021 IEEE.
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2nd IEEE International Conference on Smart Technologies for Power, Energy and Control, STPEC 2021
Year:
2021
Document Type:
Article
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