4.6 Article

Forecasting Covid-19 in the United Kingdom: A dynamic SIRD model

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Immunology

Estimated Incidence of Coronavirus Disease 2019 (COVID-19) Illness and Hospitalization-United States, February-September 2020

Heather Reese et al.

Summary: The study estimated that the number of laboratory-confirmed cases in the United States during the COVID-19 pandemic was lower than the actual number, and provided preliminary estimates to indicate the societal and healthcare burdens. These estimates can help inform resource allocation and mitigation planning.

CLINICAL INFECTIOUS DISEASES (2021)

Article Multidisciplinary Sciences

Tracking R of COVID-19: A new real-time estimation using the Kalman filter

Francisco Arroyo-Marioli et al.

Summary: This study introduces a new method for estimating the effective reproduction number of infectious diseases, applied to tracking the dynamics of COVID-19. The method utilizes Kalman filter to estimate the time-varying growth rate of infected individuals from new case data, and performs well even in imperfectly measured situations or when the infection does not follow the SIR model. The estimated R values for COVID-19 in 124 countries are provided for assessing the effectiveness of non-pharmaceutical interventions in a sample of 14 European countries.

PLOS ONE (2021)

Article Multidisciplinary Sciences

COVID reinfections likely within one or two years, models propose

Lynne Peeples

NATURE (2021)

Article Biochemistry & Molecular Biology

Effect of Delta variant on viral burden and vaccine effectiveness against new SARS-CoV-2 infections in the UK

Koen B. Pouwels et al.

Summary: A large, community-based study in the United Kingdom indicates that the effectiveness of BNT162b2 and ChAdOx1 vaccines against SARS-CoV-2 infections with symptoms or high viral burden is reduced with the Delta variant compared to the Alpha variant. Although the effectiveness of two doses is at least as great as protection afforded by prior natural infection, there are significant differences in the dynamics of immunity after the second dose between BNT162b2 and ChAdOx1.

NATURE MEDICINE (2021)

Article Mathematics, Interdisciplinary Applications

Modified SIRD Model for COVID-19 Spread Prediction for Northern and Southern States of India

Sakshi Shringi et al.

Summary: This paper discusses the SAR-CoV-2 virus and the COVID-19 pandemic, and proposes a modified SIRD model for predicting the spread of COVID-19. By analyzing data from different states in India, it is found that the proposed method provides better approximation values for predicting new cases, reproductive number, daily deaths, and other parameters.

CHAOS SOLITONS & FRACTALS (2021)

Article Multidisciplinary Sciences

A Modified SIRD Model to Study the Evolution of the COVID-19 Pandemic in Spain

Vicente Martinez

Summary: This paper analyzes the evolution of the COVID-19 pandemic in Spain using an SIRD model, showing the effectiveness of quarantine in preventing the exponential expansion of the pandemic and making good short-term predictions of infection trends.

SYMMETRY-BASEL (2021)

News Item Multidisciplinary Sciences

COVID vaccine immunity is waning - how much does that matter?

Elie Dolgin

NATURE (2021)

Proceedings Paper Acoustics

AN IMPROVED DATA DRIVEN DYNAMIC SIRD MODEL FOR PREDICTIVE MONITORING OF COVID-19

Pushpendra Singh et al.

Summary: The researchers used Gaussian mixture model (GMM) and composite logistic growth model (CLGM) to model the trends of COVID-19 infection, constructing a Susceptible-Infected-Recovered-Dead (SIRD) pandemic model. They derived explicit expressions of time-varying parameters of the SIRD model, which can capture the day-to-day dynamics of the pandemic and assist in devising efficient action plans to deal with the prevailing pandemic.

2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021) (2021)

Article Physics, Multidisciplinary

Studying the progress of COVID-19 outbreak in India using SIRD model

Saptarshi Chatterjee et al.

Summary: The study examines the use of the SIRD model to study the COVID-19 infection in India and other countries. The model predicts the possible progression of infection in India and emphasizes the importance of containment measures in controlling the spread of the virus.

INDIAN JOURNAL OF PHYSICS (2021)

Article Multidisciplinary Sciences

Data-based analysis, modelling and forecasting of the COVID-19 outbreak

Cleo Anastassopoulou et al.

PLOS ONE (2020)

Article Multidisciplinary Sciences

Substantial underestimation of SARS-CoV-2 infection in the United States

Sean L. Wu et al.

NATURE COMMUNICATIONS (2020)

Review Automation & Control Systems

A time-varying SIRD model for the COVID-19 contagion in Italy

Giuseppe C. Calafiore et al.

ANNUAL REVIEWS IN CONTROL (2020)

Review Immunology

Mathematical modeling of infectious disease dynamics

Constantinos I. Siettos et al.

VIRULENCE (2013)

Article Statistics & Probability

Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model

Vanja Dukic et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2012)