Intervention strategies with 2D cellular automata for testing SARS-CoV-2 and reopening the economy

Lugo, Igor; Alatriste‐Contreras, Martha G.

doi:10.1038/s41598-022-17665-3

Cited by 4 publications

(2 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of cellular automata (CA) for creating an epidemic computational model of virus spread in supermarkets under various conditions is analyzed in [25], employing an approach that has not been used before. In [26], a 2D cellular automaton based on the SI epidemic model is proposed to determine the most desirable testing frequency and the optimal size of random traces in local urban environments for diagnosing SARS-CoV-2 and isolating infected individuals.…”

Section: Static сEllular Automatamentioning

confidence: 99%

Modeling the Spatial Distribution of Different Strains of the COVID-19 Virus Based on the GeoSER(D) Model

Vyklyuk,

Nevinskyi,

Chopyak

et al. 2023

Preprint

View full text Add to dashboard Cite

The paper proposed a modification of the GeoSER(D) model previously developed by us by detailing the age structure of the population, personal schedule on weekdays and working days, and individual health characteristics of the agents, this made it possible to build a more realistic model of the functioning of the city and its residents. The developed model made it possible to simulate the spread of 3 types of the strain of the COVID-19 virus, and to analyze the adequacy of this model in the case of unhindered spread of the virus among city residents. The paper showed that SARS COV 2 spreads mainly from contacts in workplaces and transport, and schoolchildren and preschool children are the consequence, not the initiator of the epidemic. Fluctuations in the dynamics of various indicators of the spread of SARS COV 2 associated with the difference in the daily schedule on weekdays and weekends. It has been shown that people's daily schedules strongly influence the spread of SARS COV 2. For the more contagious "rapid" strains of SARS COV 2 (omicron), immunocompetent people become a significant source of infection. For the less contagious "slow strains" (alpha) of SARS COV 2, the most active source of infection is immunocompromised individuals (pregnant women). The more contagious – "fast" strain of the SARS COV 2 virus (omicron) spreads faster in public transport. For less contagious – "slow" strains of the virus (alpha), the greatest infection occurs due to work and educational contacts.

show abstract

Section: Static сEllular Automatamentioning

confidence: 99%

Modeling the Spatial Distribution of Different Strains of the COVID-19 Virus Based on the GeoSER(D) Model

Vyklyuk,

Nevinskyi,

Chopyak

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In Ref. [26], a 2D cellular automaton based on the SI epidemic model is proposed to determine the most desirable testing frequency and the optimal size of random traces in local urban environments for diagnosing SARS-CoV-2 and isolating infected individuals.…”

Section: Static Cellular Automatamentioning

confidence: 99%

A Managerial Approach towards Modeling the Different Strains of the COVID-19 Virus Based on the Spatial GeoCity Model

Vyklyuk,

Nevinskyi,

Chopyak

et al. 2023

Viruses

View full text Add to dashboard Cite

This study proposes a modification of the GeoCity model previously developed by the authors, detailing the age structure of the population, personal schedule on weekdays and working days, and individual health characteristics of the agents. This made it possible to build a more realistic model of the functioning of the city and its residents. The developed model made it possible to simulate the spread of three types of strain of the COVID-19 virus, and to analyze the adequacy of this model in the case of unhindered spread of the virus among city residents. Calculations based on the proposed model show that SARS-CoV 2 spreads mainly from contacts in workplaces and transport, and schoolchildren and preschool children are the recipients, not the initiators of the epidemic. The simulations showed that fluctuations in the dynamics of various indicators of the spread of SARS-CoV 2 were associated with the difference in the daily schedule on weekdays and weekends. The results of the calculations showed that the daily schedules of people strongly influence the spread of SARS-CoV 2. Under assumptions of the model, the results show that for the more contagious “rapid” strains of SARS-CoV 2 (omicron), immunocompetent people become a significant source of infection. For the less contagious “slow strains” (alpha) of SARS-CoV 2, the most active source of infection is immunocompromised individuals (pregnant women). The more contagious, or “fast” strain of the SARS-CoV 2 virus (omicron), spreads faster in public transport. For less contagious, or “slow” strains of the virus (alpha), the greatest infection occurs due to work and educational contacts.

show abstract

Simulation, Perception, and Prediction of the Spread of COVID - 19 on Cellular Automata Models: A Survey

Rakshana

Anahitaa

Rao

et al. 2023

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

Intervention strategies with 2D cellular automata for testing SARS-CoV-2 and reopening the economy

Cited by 4 publications

References 46 publications

Modeling the Spatial Distribution of Different Strains of the COVID-19 Virus Based on the GeoSER(D) Model

Modeling the Spatial Distribution of Different Strains of the COVID-19 Virus Based on the GeoSER(D) Model

A Managerial Approach towards Modeling the Different Strains of the COVID-19 Virus Based on the Spatial GeoCity Model

Simulation, Perception, and Prediction of the Spread of COVID - 19 on Cellular Automata Models: A Survey

Contact Info

Product

Resources

About