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Computational model on COVID-19 Pandemic using Probabilistic Cellular Automata [article]

Sayantari Ghosh, Saumik Bhattacharya
2020 arXiv   pre-print
To understand the effects of these measures on the control of the epidemic in a data-driven manner, we propose a probabilistic cellular automata (PCA) based modified SEIQR model.  ...  To the best of our knowledge, this is the first attempt to model COVID-19 spread using PCA that gives us both spatial and temporal variations of the infection spread with the insight about the contributions  ...  To the best of our knowledge, this is the first attempt to model COVID-19 using cellular automata keeping spatial population distribution in mind.  ... 
arXiv:2006.11270v1 fatcat:thuxo4d6afdn7newthy5pb2hfy

Computational Model on COVID-19 Pandemic Using Probabilistic Cellular Automata

Sayantari Ghosh, Saumik Bhattacharya
2021 SN Computer Science  
To understand the effects of these measures on the control of the epidemic in a data-driven manner, we propose a probabilistic cellular automata (PCA) based epidemiological model.  ...  Since March, 2020, Coronavirus disease (COVID-19) has been designated as a pandemic by World Health Organization.  ...  To the best of our knowledge, this is the first attempt to model COVID-19 using cellular automata keeping spatial population distribution in mind.  ... 
doi:10.1007/s42979-021-00619-3 pmid:33907736 pmcid:PMC8061453 fatcat:t3y4zk6vercmrkrdp46yuphggq

A Data-driven Understanding of COVID-19 Dynamics Using Sequential Genetic Algorithm Based Probabilistic Cellular Automata [article]

Sayantari Ghosh, Saumik Bhattacharya
2020 arXiv   pre-print
To the best of our knowledge, this is the first attempt to understand and interpret COVID-19 data using optimized cellular automata, through genetic algorithm.  ...  In this work, a probabilistic cellular automata based method has been employed to model the infection dynamics for a significant number of different countries.  ...  In this work, we proposed a probabilistic cellular automata model to understand and depict COVID-19 spread using appropriate choice of loss functions and evolutionary optimization framework.  ... 
arXiv:2008.12020v1 fatcat:tbsgai7cjzamdgopztou4kttbq

Modelling the Spread of an Epidemic in Presence of Vaccination using Cellular Automata [article]

Agniva Datta, Muktish Acharyya
2021 arXiv   pre-print
The results of Kermack-McKendrick SIR model are planned to be reproduced by cellular automata (CA) lattice model. The CA algorithms are proposed to study the model of epidemic, systematically.  ...  This CA model can provide the rate of growth of the infection over the space which was lacking in the mean-field like SIR model.  ...  The sequential genetic algorithm based probabilistic Cellular Automata has been used to study the dynamics of COVID-19 [23].  ... 
arXiv:2104.10456v4 fatcat:wb2za6lywvc5ne26ofbgbhm3u4

2021 Index IEEE Transactions on Computational Social Systems Vol. 8

2021 IEEE Transactions on Computational Social Systems  
Yang, Q., +, TCSS April 2021 398-409 C Cellular automata POCA4SD: A Public Opinion Cellular Automata for Situation Deduction.  ...  Rastgoftar, H., +, TCSS Aug. 2021 930-937 A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data.  ...  G Game theory An Upstream-Reciprocity-Based Strategy for Academic Social Networks Using Public Goods Game. Deonauth, N.Y., +, TCSS  ... 
doi:10.1109/tcss.2021.3137918 fatcat:kdc6nwrfbncixnxc5xkjwqvuqq

Attainment of Herd Immunity: Mathematical Modelling of Survival Rate [article]

Sayantan Mondal, Saumyak Mukherjee, Biman Bagchi
2020 arXiv   pre-print
We employ mathematical modelling (chemical network theory) and cellular automata based computer simulations to study the human cost of an epidemic spread and an effective strategy to introduce HI.  ...  We generalize the celebrated SIR model (Susceptible-Infected-Removed) by compartmentalizing the susceptible population into two categories- (i) vulnerables and (ii) resilients, and study dynamical evolution  ...  We employ mathematical modelling (chemical network theory) and cellular automata based computer simulations to study the human cost of an epidemic spread and an effective strategy to introduce HI.  ... 
arXiv:2005.14496v1 fatcat:abxvdzkn75esrcdjzu3mn42xz4

Monitoring the newly infected cases of COVID-19 data weekly: A Survival Data Analysis (SDA) perspective

Ramachandran Ramasamy, Maniam Kaliannan
2021 Statistical Journal of the IAOS  
This paper attempts to fit the best survival model distribution for the Malaysian COVID-19 new infections experience of Wave I/II and Wave III using the well-known Survival Data Analysis (SDA) procedures  ...  The purpose of fitting such models is to reduce the complexity and frequency of the COVID-19 new infections data into a single measure of scale and shape parameters to enable monitoring of weekly trends  ...  The fitted distribution, in turn is used to undertake shortterm forecasts on new COVID-19 infections using the survival function of the best fit statistical model.  ... 
doi:10.3233/sji-210804 fatcat:iy5k3sncjvgi3es6tdxmt3i5gm

Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers' Evaluation—A Case Study of Wuhan

Xingyu Zhou, Jie Zhao, Duanya Zheng, Yang Yu, Lingbo Liu
2021 Healthcare  
Then, an agent-based simulation model was used to simulate the reasonable screening efficiency of community health service facilities during certain-exposure time at different stages of the COVID-19 pandemic  ...  Short-term and large-scale full-population virus testing is crucial in containing the spread of the COVID-19 pandemic in China.  ...  Later, with the development of traffic simulation modeling technology, models such as cellular automata (CA) were introduced to simulate the operation of clinical flow in real space [14, 15] .  ... 
doi:10.3390/healthcare9111519 pmid:34828565 pmcid:PMC8617634 fatcat:corkxhtorzcb3hmoav2utxoeuu

Handling the COVID‐19 crisis: Toward an agile model‐based systems approach

Olivier de Weck, Daniel Krob, Li Lefei, Pao Chuen Lui, Antoine Rauzy, Xinguo Zhang
2020 Systems Engineering  
Time is then discretized and all nodes evolve simultaneously at each time step, which represents a day, just like in cellular automata [76] .  ...  Note that our model and the computational experiments realized on this model do not aim at all at representing "reality".  ... 
doi:10.1002/sys.21557 fatcat:yyw3q5h5l5aehgz42r3c7tlole

High-Performance Computing and ABMS for High-Resolution COVID-19 Spreading Simulation

Mattia Pellegrino, Gianfranco Lombardo, Stefano Cagnoni, Agostino Poggi
2022 Future Internet  
This paper presents an approach for the modeling and the simulation of the spreading of COVID-19 based on agent-based modeling and simulation (ABMS).  ...  On the other hand, for the Emilia-Romagna region, we simulated the second pandemic wave during autumn 2020, and we reached a final RMSE equal to 10,730.11.  ...  According to [12] , the most suggested ABMS models for complex systems modeling are cellular automata [13] , flocking systems [14] , and geographic information systems [15] .  ... 
doi:10.3390/fi14030083 fatcat:mkw5skistbcatemqfr33atb6fq

Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review

Jelena Musulin, Sandi Baressi Šegota, Daniel Štifanić, Ivan Lorencin, Nikola Anđelić, Tijana Šušteršič, Anđela Blagojević, Nenad Filipović, Tomislav Ćabov, Elitza Markova-Car
2021 International Journal of Environmental Research and Public Health  
Moreover, we discuss the applicability of Machine Learning (ML) and Evolutionary Computing (EC) methods that have focused on regressing epidemiology curves of COVID-19, and provide an overview of the usefulness  ...  The objectives of this review are to analyze some of the open-access datasets mostly used in research in the field of COVID-19 regression modeling as well as present current literature based on Artificial  ...  Ghosh and Bhattacharya [146] have used the probabilistic cellular automata-based method to model the infection dynamics for a significant number of different countries.  ... 
doi:10.3390/ijerph18084287 pmid:33919496 fatcat:ac6rvmecdng6vaz6l7yhmiptey

tamasomā jyotirgamaya: Seeking the Self Amidst Covids' Cytokine Cyclones

B. Mishra, R.x. Covea
2020 Journal of the Indian Institute of Science  
Pondering on pandemics and the promise of purification from the plethora of problems that it has spawned, the paper builds on a game-theoretic model of host-pathogen interaction, and... moves beyond.  ...  Quo Vadis: Covid Covid-19 poses a wicked problem.  ...  RxCovea has sought to develop and openly disseminate mathematical and computational tools and theories to address these problems with the help of modelers (SDEs, graph-based, hybrid, cellular automata)  ... 
doi:10.1007/s41745-020-00186-1 pmid:33106735 pmcid:PMC7578442 fatcat:ngbxxrcbqbcovifn4znfkd5dyy

Developing Computational Thinking Teaching Strategies to Model Pandemics and Containment Measures

Roberto Araya, Masami Isoda, Johan van der Molen van der Molen Moris
2021 International Journal of Environmental Research and Public Health  
COVID-19 has been extremely difficult to control. The lack of understanding of key aspects of pandemics has affected virus transmission.  ...  On the other hand, there is a demand to incorporate computational thinking (CT) in the curricula with applications in STEM.  ...  They correspond to solving problems related to the current COVID-19 pandemic using CT.  ... 
doi:10.3390/ijerph182312520 pmid:34886245 pmcid:PMC8656684 fatcat:o2scw7s4krblzosmtiduvhjtui

Engineering and Implementation of SimAEN [article]

Gwendolyn Gettliffe, Adam Norige, Ted Londner, Jonathan Saunders, Dieter Schuldt, William Streilein
2021 arXiv   pre-print
SimAEN models a population of interacting individuals, or 'agents', in which COVID-19 is spreading.  ...  On the most abstract side of agent-based modeling are grid based simulations known as cellular automata.  ...  Introduction Throughout the COVID-19 pandemic, public health institutions have used contact tracing to attempt to slow the spread of the disease.  ... 
arXiv:2111.12825v2 fatcat:hybqqscu4jc6jpvgdikbkxhahu

A Review of Multi‐Compartment Infectious Disease Models

Lu Tang, Yiwang Zhou, Lili Wang, Soumik Purkayastha, Leyao Zhang, Jie He, Fei Wang, Peter X.‐K. Song
2020 International Statistical Review  
The coronavirus disease 2019 pandemic surveillance data from the state of Michigan are used for the illustration throughout this paper.  ...  They are a class of mathematical models widely used for describing the mechanism of an evolving epidemic.  ...  Acknowledgements The authors are very grateful to the co-editors for the invitation to contribute a review paper for statistical modelling and analysis of infectious diseases and for their helpful feedback  ... 
doi:10.1111/insr.12402 pmid:32834402 pmcid:PMC7436714 fatcat:em2oe5mhnrcofgmgn435qx4dzu
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