Agent-based simulation and modeling of COVID-19 pandemic: a Bibliometric analysis

J Tang, S Vinayavekhin… - Journal of Disaster …, 2022 - jstage.jst.go.jp
The coronavirus disease has caused an ongoing pandemic worldwide since 2019. To slow
the rapid spread of the virus, many countries have adopted lockdown measures. To …

A survey on agents applications in healthcare: opportunities, challenges and trends

E Sulis, S Mariani, S Montagna - Computer Methods and Programs in …, 2023 - Elsevier
Abstract Background and Objective: The agent abstraction is a powerful one, developed
decades ago to represent crucial aspects of artificial intelligence research. The meaning has …

Global analysis and prediction scenario of infectious outbreaks by recurrent dynamic model and machine learning models: A case study on COVID-19

SA Rakhshan, MS Nejad, M Zaj, FH Ghane - Computers in Biology and …, 2023 - Elsevier
It is essential to evaluate patient outcomes at an early stage when dealing with a pandemic
to provide optimal clinical care and resource management. Many methods have been …

A novel dynamic approach for risk analysis and simulation using multi-agents model

H Kanj, WHF Aly, S Kanj - Applied Sciences, 2022 - mdpi.com
Static risk analysis techniques (SRATs) use event graphs and risk analysis assessment
models. Those techniques are not time-based techniques and hence are inadequate to …

Did the Tokyo Olympic Games enhance the transmission of COVID-19? An interpretation with machine learning

A Hirata, S Kodera, Y Diao, EA Rashed - Computers in biology and …, 2022 - Elsevier
Background In the summer of 2021, the Olympic Games were held in Tokyo during the state
of emergency due to the spread of COVID-19 pandemic. New daily positive cases (DPC) …

Exploring artificial intelligence algorithms for electrocardiogram (ECG) signal analysis: A comprehensive review

MF Safdar, RM Nowak, P Pałka - Computers in Biology and Medicine, 2023 - Elsevier
Electrocardiogram (ECG) are the physiological signals and a standard test to measure the
heart's electrical activity that depicts the movement of cardiac muscles. A review study has …

A stochastic agent-based model to evaluate COVID-19 transmission influenced by human mobility

K Chen, X Jiang, Y Li, R Zhou - Nonlinear Dynamics, 2023 - Springer
The COVID-19 pandemic has created an urgent need for mathematical models that can
project epidemic trends and evaluate the effectiveness of mitigation strategies. A major …

Insights into the risk of COVID-19 infection in urban neighborhood and its environmental influence factors: A novel approach

P Xiao, D Zhao, S Shen, Q Liao, W Wang, Y Cao… - Sustainable Cities and …, 2024 - Elsevier
Many studies have dealt with the relationship between the built environment and COVID-19
infection in isolation. However, the research approaches were often inadequate in …

[HTML][HTML] Incorporating endogenous human behavior in models of COVID-19 transmission: A systematic scoping review

A Hamilton, F Haghpanah, A Tulchinsky, N Kipshidze… - Dialogues in Health, 2024 - Elsevier
Background During the COVID-19 pandemic there was a plethora of dynamical forecasting
models created, but their ability to effectively describe future trajectories of disease was …

A review of agent-based model simulation for covid 19 spread

S Ibrahim - … Conference on Emerging Technologies and Intelligent …, 2022 - Springer
Containing the implications of the Covid-19 pandemic has and continues to be a priority
around the globe. Pursuant to this, scientists have focused on understanding the virus …