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 …
A review of multi‐compartment infectious disease models
Multi‐compartment models have been playing a central role in modelling infectious disease
dynamics since the early 20th century. They are a class of mathematical models widely used …
dynamics since the early 20th century. They are a class of mathematical models widely used …
A SIR model assumption for the spread of COVID-19 in different communities
I Cooper, A Mondal, CG Antonopoulos - Chaos, Solitons & Fractals, 2020 - Elsevier
In this paper, we study the effectiveness of the modelling approach on the pandemic due to
the spreading of the novel COVID-19 disease and develop a susceptible-infected-removed …
the spreading of the novel COVID-19 disease and develop a susceptible-infected-removed …
Artificial intelligence vs COVID-19: limitations, constraints and pitfalls
W Naudé - AI & society, 2020 - Springer
This paper provides an early evaluation of Artificial Intelligence (AI) against COVID-19. The
main areas where AI can contribute to the fight against COVID-19 are discussed. It is …
main areas where AI can contribute to the fight against COVID-19 are discussed. It is …
Extended SIR prediction of the epidemics trend of COVID-19 in Italy and compared with Hunan, China
J Wangping, H Ke, S Yang, C Wenzhe… - Frontiers in …, 2020 - frontiersin.org
Background: Coronavirus Disease 2019 (COVID-19) is currently a global public health
threat. Outside of China, Italy is one of the countries suffering the most with the COVID-19 …
threat. Outside of China, Italy is one of the countries suffering the most with the COVID-19 …
Transmission dynamics of COVID-19 in Wuhan, China: effects of lockdown and medical resources
GQ Sun, SF Wang, MT Li, L Li, J Zhang, W Zhang… - Nonlinear …, 2020 - Springer
Due to the strong infectivity of COVID-19, it spread all over the world in about three months
and thus has been studied from different aspects including its source of infection …
and thus has been studied from different aspects including its source of infection …
[HTML][HTML] Predictions, role of interventions and effects of a historic national lockdown in India's response to the COVID-19 pandemic: data science call to arms
With only 536 cases and 11 fatalities, India took the historic decision of a 21-day national
lockdown on March 25. The lockdown was first extended to May 3 soon after the analysis of …
lockdown on March 25. The lockdown was first extended to May 3 soon after the analysis of …
Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19
D Khemasuwan, JS Sorensen… - European respiratory …, 2020 - Eur Respiratory Soc
Artificial intelligence (AI) is transforming healthcare delivery. The digital revolution in
medicine and healthcare information is prompting a staggering growth of data intertwined …
medicine and healthcare information is prompting a staggering growth of data intertwined …
Estimating COVID-19 mortality in Italy early in the COVID-19 pandemic
Estimating rates of COVID-19 infection and associated mortality is challenging due to
uncertainties in case ascertainment. We perform a counterfactual time series analysis on …
uncertainties in case ascertainment. We perform a counterfactual time series analysis on …
Estimation of time-varying reproduction numbers underlying epidemiological processes: A new statistical tool for the COVID-19 pandemic
The coronavirus pandemic has rapidly evolved into an unprecedented crisis. The
susceptible-infectious-removed (SIR) model and its variants have been used for modeling …
susceptible-infectious-removed (SIR) model and its variants have been used for modeling …