Using simulation modelling and systems science to help contain COVID‐19: A systematic review

W Zhang, S Liu, N Osgood, H Zhu… - Systems research and …, 2023 - Wiley Online Library
This study systematically reviews applications of three simulation approaches, that is,
system dynamics model (SDM), agent‐based model (ABM) and discrete event simulation …

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics

L Vu-Quoc, A Humer - arXiv preprint arXiv:2212.08989, 2022 - arxiv.org
Three recent breakthroughs due to AI in arts and science serve as motivation: An award
winning digital image, protein folding, fast matrix multiplication. Many recent developments …

A Time-dependent mathematical model for COVID-19 transmission dynamics and analysis of critical and hospitalized cases with bed requirements

A Singh, MK Bajpai, SL Gupta - Machine Vision and Augmented …, 2023 - Springer
A time-dependent SEAIHCRD model is the extension of the SEIR model, which includes
some new compartment that is asymptomatic infectious people, hospitalized people, critical …

One year of the COVID-19 pandemic in Galicia: a global view of age-group statistics during three waves

I Area, H Lorenzo, PJ Marcos, JJ Nieto - International Journal of …, 2021 - mdpi.com
In this work we look at the past in order to analyze four key variables after one year of the
COVID-19 pandemic in Galicia (NW Spain): new infected, hospital admissions, intensive …

Dynamic transmission modeling of COVID-19 to support decision-making in Brazil: A scoping review in the pre-vaccine era

G Berg de Almeida, L Mendes Simon… - PLOS Global Public …, 2023 - journals.plos.org
Brazil was one of the countries most affected during the first year of the COVID-19 pandemic,
in a pre-vaccine era, and mathematical and statistical models were used in decision-making …

[PDF][PDF] Introduction to the special issue on computer modelling of transmission, spread, control and diagnosis of COVID-19

Y Zhang, Q Wang, SHY Yuan - CMES-Computer Modeling in …, 2021 - scholars.cityu.edu.hk
The 2019–20 coronavirus pandemic is an ongoing pandemic of coronavirus disease 2019
(COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It …

[PDF][PDF] What drives the effectiveness of social distancing in combating COVID-19 across US States

MJ Yang, M Gaulin, N Seegert, A Looney - University of Utah, 2020 - mjyang.com
We propose a new theory of information-based voluntary social distancing in which people's
responses to disease prevalence depend on the credibility of reported cases and fatalities …

[PDF][PDF] Dynamic transmission modeling of COVID-19 to support decision-making in Brazil: A scoping review in the pre-vaccine era. PLOS Glob Public Health 3 (12) …

G Berg de Almeida, L Mendes Simon, Â Maria Bagattini… - 2023 - scienceopen.com
Brazil was one of the countries most affected during the first year of the COVID-19 pandemic,
in a pre-vaccine era, and mathematical and statistical models were used in decisionmaking …

Estimating the Spread Scenario of Acute Diarrhea and Dengue Diseases in India: A Comparative Analysis of Statistical, Mathematical, and Deep Learning Models

A Singh, MK Bajpai, KK Sharma, KW Kalare, A Tripathi… - 2024 - researchsquare.com
This work estimates the spread scenario of acute diarrhoea and dengue diseases in India.
Statistical, mathematical (compartmental), and deep learning time series models are …

A Mathematical Model for the Effect of Vaccination on COVID-19 Epidemic Spread

A Singh, S Rai, MK Bajpai - … Intelligence: Select Proceedings of MAI 2022, 2023 - Springer
In many parts of the world, there is growing support for the development of a COVID-19
vaccine. This brief examines the challenges that the world must face in order to effectively …