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COVID-19 modeling: A review
L Cao, Q Liu - ACM Computing Surveys, 2024 - dl.acm.org
The SARS-CoV-2 viruses and their triggered COVID-19 pandemic have fundamentally
reshaped the world in almost every aspect, their evolution and influences remain. While over …
reshaped the world in almost every aspect, their evolution and influences remain. While over …
[HTML][HTML] The current COVID-19 pandemic in China: An overview and corona data analysis
W Bo, Z Ahmad, ARA Alanzi, AI Al-Omari… - Alexandria Engineering …, 2022 - Elsevier
At the end of December 2019, the Wuhan Municipal Health Commission, revealed several
cases of pneumonia of unknown etiology. Later, this etiology was called the coronavirus …
cases of pneumonia of unknown etiology. Later, this etiology was called the coronavirus …
Graph theory based large-scale machine learning with multi-dimensional constrained optimization approaches for exact epidemiological modeling of pandemic …
O Tutsoy - IEEE Transactions on Pattern Analysis and Machine …, 2023 - ieeexplore.ieee.org
Multi-dimensional prediction models of the pandemic diseases should be constructed in a
way to reflect their peculiar epidemiological characters. In this paper, a graph theory-based …
way to reflect their peculiar epidemiological characters. In this paper, a graph theory-based …
COVID19 pandemic dynamics
I Nesteruk - Springer Nature, DOI, 2021 - Springer
The COVID-19 pandemic poses a great threat due to millions of infected people, high
mortality, and a very negative impact on the economy. Its detailed investigations are still …
mortality, and a very negative impact on the economy. Its detailed investigations are still …
Generalized SIR (GSIR) epidemic model: An improved framework for the predictive monitoring of COVID-19 pandemic
Novel coronavirus respiratory disease COVID-19 has caused havoc in many countries
across the globe. In order to contain infection of this highly contagious disease, most of the …
across the globe. In order to contain infection of this highly contagious disease, most of the …
Simulating the progression of the COVID-19 disease in Cameroon using SIR models
U Nguemdjo, F Meno, A Dongfack, B Ventelou - PLoS One, 2020 - journals.plos.org
This paper analyses the evolution of COVID-19 in Cameroon over the period March 6–April
2020 using SIR models. Specifically, we 1) evaluate the basic reproduction number of the …
2020 using SIR models. Specifically, we 1) evaluate the basic reproduction number of the …
COVID‐19: A multiwave SIR‐based model for learning waves
G Perakis, D Singhvi, O Skali Lami… - Production and …, 2023 - journals.sagepub.com
One of the greatest challenges of the COVID‐19 pandemic has been the way evolving
regulation, information, and sentiment have driven waves of the disease. Traditional …
regulation, information, and sentiment have driven waves of the disease. Traditional …
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA
B Lucas, B Vahedi, M Karimzadeh - … Journal of Data Science and Analytics, 2023 - Springer
With COVID-19 affecting every country globally and changing everyday life, the ability to
forecast the spread of the disease is more important than any previous epidemic. The …
forecast the spread of the disease is more important than any previous epidemic. The …
Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission
In this study, a hybrid deep-learning model termed as ODANN, built upon neural networks
(NN) coupled with data assimilation and natural language processing (NLP) features …
(NN) coupled with data assimilation and natural language processing (NLP) features …
[HTML][HTML] The propagation effect of commuting to work in the spatial transmission of COVID-19
T Mitze, R Kosfeld - Journal of geographical systems, 2022 - Springer
This work is concerned with the spatiotemporal dynamics of the coronavirus disease 2019
(COVID-19) in Germany. Our goal is twofold: first, we propose a novel spatial econometric …
(COVID-19) in Germany. Our goal is twofold: first, we propose a novel spatial econometric …