基于卡尔曼滤波和SIRD模型的COVID-19疫苗有效性Rt跟踪

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Pub Date : 2021-10-07 DOI:10.1109/ICABME53305.2021.9604831

M. Kaddour, Jinan Charafeddine, N. Moubayed

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引用次数: 0

摘要

本文采用SIRD模型研究了该疫苗对黎巴嫩冠状病毒(covid - 19)传播的影响。为了描述全国范围内的疫情发展情况，将卡尔曼滤波器与SIRD模型相结合，以估计时变繁殖数Rt -是预测疫情严重程度的最重要指标。Rt表示受感染者可将疾病传播给健康人群的人数。结果表明，在使用疫苗后，大流行的传播有所减少。所有数据和相关代码库可在https://www.moph.gov.lb上获得

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Tracking Rt of COVID-19 Vaccine Effectiveness Using Kalman Filter and SIRD Model

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 Rt - is the most important indicator that predicts the severity of an epidemic outbreak. Rt 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

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2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)

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