An interpretable hybrid predictive model of COVID-19 cases using autoregressive model and LSTM
Abstract The Coronavirus Disease 2019 (COVID-19) has had a profound impact on global
health and economy, making it crucial to build accurate and interpretable data-driven …
health and economy, making it crucial to build accurate and interpretable data-driven …
The joint determination of morbidity and vaccination in the spatiotemporal epidemiology of COVID-19
M Beenstock, D Felsenstein, M Gdaliahu - Spatial and Spatio-temporal …, 2023 - Elsevier
This paper examines the mutual dependence between COVID-19 morbidity and vaccination
rollout. A theory of endogenous immunization is proposed in which the decision to become …
rollout. A theory of endogenous immunization is proposed in which the decision to become …
Data-Driven Mathematical Modeling Approaches for COVID-19: a survey
J Demongeot, P Magal - arXiv preprint arXiv:2309.17087, 2023 - arxiv.org
In this review, we successively present the methods for phenomenological modeling of the
evolution of reported and unreported cases of COVID-19, both in the exponential phase of …
evolution of reported and unreported cases of COVID-19, both in the exponential phase of …
Integrating socio-psychological factors in the SEIR model optimized by a genetic algorithm for COVID-19 trend analysis
H Wang, D Wu, J Luo, J Zhang - Scientific Reports, 2024 - nature.com
The global spread of COVID-19 has profoundly affected health and economies, highlighting
the need for precise epidemic trend predictions for effective interventions. In this study, we …
the need for precise epidemic trend predictions for effective interventions. In this study, we …
Hybrid discrete-time-continuous-time models and a SARS CoV-2 mystery: Sub-Saharan Africa's low SARS CoV-2 disease burden
Worldwide, the recent SARS-CoV-2 virus has infected more than 670 million people and
killed nearly 67.0 million. In Africa, the number of confirmed COVID-19 cases was …
killed nearly 67.0 million. In Africa, the number of confirmed COVID-19 cases was …
Automatic COVID-19 detection from cough sounds using multi-headed convolutional neural networks
W Wang, Q Shang, H Lu - Applied Sciences, 2023 - mdpi.com
Featured Application Corona Virus Disease 2019 (COVID-19) is rampant all over the world,
threatening human life and health. Currently, the detection of COVID-19 is mainly based on …
threatening human life and health. Currently, the detection of COVID-19 is mainly based on …
Comparison of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for Estimating the Susceptible-Exposed-Infected-Recovered (SEIR) Model Parameter …
Background: The most commonly used mathematical model for analyzing disease spread is
the Susceptible-Exposed-Infected-Recovered (SEIR) model. Moreover, the dynamics of the …
the Susceptible-Exposed-Infected-Recovered (SEIR) model. Moreover, the dynamics of the …