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 …
the rapid spread of the virus, many countries have adopted lockdown measures. To …
A survey on agents applications in healthcare: opportunities, challenges and trends
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 …
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 …
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
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 …
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
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) …
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
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 …
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 …
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 …
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 …
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 …
around the globe. Pursuant to this, scientists have focused on understanding the virus …