Modeling the impact of immigration and climatic conditions on the epidemic spreading based on cellular automata approach

Bouaine, Amine; Rachik, Mostafa

doi:10.1016/j.ecoinf.2018.05.004

Cited by 10 publications

(7 citation statements)

References 31 publications

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“…Instead of using deterministic state transitions, the Probabilistic Cellular Automata (PCA) is more suitable for epidemiological studies [1] , [2] , [45] . Accordingly, it has been used for studying migratory movements on the persistence of contagious disease [5] , [16] , the impact of the time delay in the spreading of a disease based on SEIR model [44] , the adaptation of cellular automata for using real population density maps [18] , and disease infection in groups of individuals [37] . Also, for large homogeneous and well-mixed populations, Ordinary Differential Equations (ODE) can be interpreted as a mean-field approximation of the PCA model [4] , [32] , [42] .…”

Section: Introductionmentioning

confidence: 99%

A model based on cellular automata to estimate the social isolation impact on COVID-19 spreading in Brazil

Schimit

2021

Computer Methods and Programs in Biomedicine

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Highlights The Brazilian population is modelled by cellular automata. The model is tuned for the COVID-19 evolution. Social isolation has three variables: start, duration and percentage of reduced contact. Simulations are carried out to analyze different demands on the healthcare system. COVID-19 cases evolution and hospitalization cannot be used alone to end social campaigns.

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Section: Introductionmentioning

confidence: 99%

A model based on cellular automata to estimate the social isolation impact on COVID-19 spreading in Brazil

Schimit

2021

Computer Methods and Programs in Biomedicine

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“…Thus, scientific researchers are striving to discover the viral propagation mechanism in terms of mathematical analysis and simulation models [ 9 , 10 ]. The current epidemiological models can be roughly classified into three categories: cellular automata-based epidemiological model [ 11 , 12 ], agent-based epidemiological model [ [13] , [14] , [15] ], and epidemiological compartment model [ 23 ].…”

Section: Literature Reviewmentioning

confidence: 99%

SEIR-FMi: A coronavirus disease epidemiological model based on intra-city movement, inter-city movement and medical resource investment

Zhang

Xie

Dong

et al. 2022

Computers in Biology and Medicine

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“…1999 ; Jithesh 2021 ; Gwizdalla 2020 ; Pereira et al. 2021 ; Bouaine and Rachik 2018 ; Blavatska and Holovatch 2021 ; Monteiro et al. 2020 ).…”

Section: Related Workunclassified

A GIS-aided cellular automata system for monitoring and estimating graph-based spread of epidemics

Kyriakou¹,

Georgoudas²,

Papanikolaou³

2022

Nat Comput

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In this study, we introduce an application of a Cellular Automata (CA)-based system for monitoring and estimating the spread of epidemics in real world, considering the example of a Greek city. The proposed system combines cellular structure and graph representation to approach the connections among the area’s parts more realistically. The original design of the model is attributed to a classical SIR (Susceptible–Infected–Recovered) mathematical model. Aiming to upgrade the application’s effectiveness, we have enriched the model with parameters that advances its functionality to become self-adjusting and more efficient of approaching real situations. Thus, disease-related parameters have been introduced, while human interventions such as vaccination have been represented in algorithmic manner. The model incorporates actual geographical data (GIS, geographic information system) to upgrade its response. A methodology that allows the representation of any area with given population distribution and geographical data in a graph associated with the corresponding CA model for epidemic simulation has been developed. To validate the efficient operation of the proposed model and methodology of data display, the city of Eleftheroupoli, in Eastern Macedonia—Thrace, Greece, was selected as a testing platform (Eleftheroupoli, Kavala). Tests have been performed at both macroscopic and microscopic levels, and the results confirmed the successful operation of the system and verified the correctness of the proposed methodology.

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Modeling the impact of immigration and climatic conditions on the epidemic spreading based on cellular automata approach

Cited by 10 publications

References 31 publications

A model based on cellular automata to estimate the social isolation impact on COVID-19 spreading in Brazil

A model based on cellular automata to estimate the social isolation impact on COVID-19 spreading in Brazil

SEIR-FMi: A coronavirus disease epidemiological model based on intra-city movement, inter-city movement and medical resource investment

A GIS-aided cellular automata system for monitoring and estimating graph-based spread of epidemics

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