A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19
In the past few months, several works were published in regards to the dynamics and early
detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of …
detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of …
Merits and limitations of mathematical modeling and computational simulations in mitigation of COVID-19 pandemic: A comprehensive review
A Afzal, CA Saleel, S Bhattacharyya, N Satish… - … Methods in Engineering, 2022 - Springer
Mathematical models have assisted in describing the transmission and propagation
dynamics of various viral diseases like MERS, measles, SARS, and Influenza; while the …
dynamics of various viral diseases like MERS, measles, SARS, and Influenza; while the …
Trends in COVID-19 prevalence and mortality: A year in review
This paper introduces new methods to study the changing dynamics of COVID-19 cases and
deaths among the 50 worst-affected countries throughout 2020. First, we analyse the …
deaths among the 50 worst-affected countries throughout 2020. First, we analyse the …
Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19
N James - Physica A: Statistical Mechanics and Its Applications, 2021 - Elsevier
This paper uses new and recently introduced methodologies to study the similarity in the
dynamics and behaviours of cryptocurrencies and equities surrounding the COVID-19 …
dynamics and behaviours of cryptocurrencies and equities surrounding the COVID-19 …
Efficiency of communities and financial markets during the 2020 pandemic
This paper investigates the relationship between the spread of the COVID-19 pandemic, the
state of community activity, and the financial index performance across 20 countries. First …
state of community activity, and the financial index performance across 20 countries. First …
Distribution of incubation periods of COVID-19 in the Canadian context
S Paul, E Lorin - Scientific Reports, 2021 - nature.com
We propose a novel model based on a set of coupled delay differential equations with
fourteen delays in order to accurately estimate the incubation period of COVID-19 …
fourteen delays in order to accurately estimate the incubation period of COVID-19 …
Estimation of COVID-19 recovery and decease periods in Canada using delay model
S Paul, E Lorin - Scientific Reports, 2021 - nature.com
We derive a novel model escorted by large scale compartments, based on a set of coupled
delay differential equations with extensive delays, in order to estimate the incubation …
delay differential equations with extensive delays, in order to estimate the incubation …
COVID-19 pandemic models revisited with a new proposal: plenty of epidemiological models outcast the simple population dynamics solution
We have put an effort to estimate the number of publications related to the modelling aspect
of the corona pandemic through the web search with the corona associated keywords. The …
of the corona pandemic through the web search with the corona associated keywords. The …
Comparing the dynamics of COVID-19 infection and mortality in the United States, India, and Brazil
This paper compares and contrasts the spread and impact of COVID-19 in the three
countries most heavily impacted by the pandemic: the United States (US), India and Brazil …
countries most heavily impacted by the pandemic: the United States (US), India and Brazil …
Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation
This paper proposes a data-driven approximate Bayesian computation framework for
parameter estimation and uncertainty quantification of epidemic models, which incorporates …
parameter estimation and uncertainty quantification of epidemic models, which incorporates …