COVID-19 modeling: A review
L Cao, Q Liu - ACM Computing Surveys, 2021 - 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 …
How have global scientists responded to tackling COVID-19?
L Cao, W Hou - medRxiv, 2022 - medrxiv.org
Since the outbreak of COVID-19, the global scientific communities across almost all
countries have made urgent, intensive, and continuous effort on understanding, fighting and …
countries have made urgent, intensive, and continuous effort on understanding, fighting and …
Understanding the covid19 outbreak: A comparative data analytics and study
A Koubaa - arXiv preprint arXiv:2003.14150, 2020 - arxiv.org
The Coronavirus, also known as the COVID-19 virus, has emerged in Wuhan China since
late November 2019. Since that time, it has been spreading at large-scale until today all …
late November 2019. Since that time, it has been spreading at large-scale until today all …
Data-driven modeling of COVID-19—Lessons learned
E Kuhl - Extreme Mechanics Letters, 2020 - Elsevier
Understanding the outbreak dynamics of COVID-19 through the lens of mathematical
models is an elusive but significant goal. Within only half a year, the COVID-19 pandemic …
models is an elusive but significant goal. Within only half a year, the COVID-19 pandemic …
A multi-method approach to modeling COVID-19 disease dynamics in the United States
A Mokhtari, C Mineo, J Kriseman, P Kremer, L Neal… - Scientific reports, 2021 - nature.com
In this paper, we proposed a multi-method modeling approach to community-level spreading
of COVID-19 disease. Our methodology was composed of interconnected age-stratified …
of COVID-19 disease. Our methodology was composed of interconnected age-stratified …
COVID-19 prediction models and unexploited data
KC Santosh - Journal of medical systems, 2020 - Springer
Abstract For COVID-19, predictive modeling, in the literature, uses broadly SEIR/SIR, agent-
based, curve-fitting techniques/models. Besides, machine-learning models that are built on …
based, curve-fitting techniques/models. Besides, machine-learning models that are built on …
The importance of local context in COVID-19 models
COVID-19 models have been extensively used to inform public health officials about
potential interventions. Nevertheless, careful attention must be taken when extrapolating …
potential interventions. Nevertheless, careful attention must be taken when extrapolating …
COVID-19 and SARS-CoV-2. Modeling the present, looking at the future
E Estrada - Physics reports, 2020 - Elsevier
Abstract Since December 2019 the Severe Acute Respiratory Syndrome Coronavirus 2
(SARS-CoV-2) has produced an outbreak of pulmonary disease which has soon become a …
(SARS-CoV-2) has produced an outbreak of pulmonary disease which has soon become a …
A primer on using mathematics to understand COVID-19 dynamics: Modeling, analysis and simulations
Abstract The novel coronavirus (COVID-19) pandemic that emerged from Wuhan city in
December 2019 overwhelmed health systems and paralyzed economies around the world. It …
December 2019 overwhelmed health systems and paralyzed economies around the world. It …
Mathematic modeling of COVID-19 in the United States
Y Tang, S Wang - Emerging microbes & infections, 2020 - Taylor & Francis
ABSTRACT COVID-19, the worst pandemic in 100 years, has rapidly spread to the entire
world in 2 months since its early report in January 2020. Based on the publicly available …
world in 2 months since its early report in January 2020. Based on the publicly available …