학술논문

Tracking Rt of COVID-19 Vaccine Effectiveness Using Kalman Filter and SIRD Model
Document Type
Conference
Source
2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Advances in Biomedical Engineering (ICABME), 2021 Sixth International Conference on. :151-154 Oct, 2021
Subject
Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
COVID-19
Adaptation models
Pandemics
Sociology
Predictive models
Data models
Vaccines
COVID - 19
SIRD model
Kalman filter
Language
ISSN
2377-5696
Abstract
In this paper, a SIRD model is adapted to study the vaccine’s impact on the spread of coronavirus (COVID19) spread in Lebanon. To describe the epidemic development across the country, a Kalman filter is integrated with the SIRD model in order to estimate the time-varying reproduction number R t - is the most important indicator that predicts the severity of an epidemic outbreak. R t denotes the number of healthy persons to whom an infected person can spread the disease. The results show a reduction in the spread of the pandemic after employing the vaccine. All the data and relevant codebase are available at https://www.moph.gov.lb