Your browser doesn't support javascript.
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.
Keywords

Full text: Available Collection: 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

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: 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