Effects of confinement and vaccination on an epidemic outburst: A statistical mechanics approach

Toledano, Óscar; Mula, Begoña; Santalla, Silvia N.; Rodríguez-Laguna, Javier; Gálvez, Óscar

doi:10.1103/physreve.104.034310

Cited by 6 publications

(2 citation statements)

References 41 publications

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“…In the absence of both lockdown and vaccination, we introduce the concept of local isolation through bond dilution on a fixed lattice [41]. This model is characterized by a parameter p bd , which represents the probability that a bond between two neighboring nodes is present.…”

Section: Modelling Local Isolation In the Agent-base Simulationmentioning

confidence: 99%

Towards Disaster-Resilient Slums in Kolkata

Karmakar¹,

Sivaramakrishnan²

2022

Kolkata — The Colonial City in Transition

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In the realm of pandemic dynamics, understanding the intricate interplay between disease transmission, interventions, and immunity is pivotal for effective control strategies. Through a rigorous agent-based simulation, we embarked on a comprehensive exploration, traversing unmitigated spread, lockdown scenarios, and the transformative potential of vaccination. we unveil a paradoxical trend: while quarantine unquestionably delays the pandemic peak, it does not act as an impenetrable barrier to halt the progression of infectious diseases. Vaccination factor revealed a potent weapon against outbreaks -higher vaccination percentage not only delayed infection peaks but also substantially curtailed their impact. Our investigation into bond dilution below the percolation threshold presents an additional dimension to pandemic control. We observed that localized isolation through bond dilution offers a targeted control strategy that can be more resource-efficient compared to blanket lockdowns or large-scale vaccination campaigns. II. AGENT-BASED MODELLet us consider N agents moving on a 2D square lattice with linear dimension L subject to periodic bound-

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Section: Modelling Local Isolation In the Agent-base Simulationmentioning

confidence: 99%

Towards Disaster-Resilient Slums in Kolkata

Karmakar¹,

Sivaramakrishnan²

2022

Kolkata — The Colonial City in Transition

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“…One of the earliest approaches for simplifying simulation-based models involved cellular automata, where the mobility of individual agents could be varied up to a level consistent with the mean-field limit [14]. Individuals obeying S-I-R interactions have also been represented as moving particles that are driven and diffusing [15], that never change direction [16], that occasionally make long-range jumps [17], that move at different velocities [18], or that are confined to diffuse only within the region of their 'houses' [19]. To help mitigate the computational expense of such methods, dynamic density functional theory techniques can be applied [20].…”

Section: Introductionmentioning

confidence: 99%

Using Active Matter to Introduce Spatial Heterogeneity to the Susceptible-Infected-Recovered Model of Epidemic Spreading

Forgacs¹,

Libal²,

Reichhardt³

et al. 2022

Preprint

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The widely used susceptible-infected-recovered (S-I-R) epidemic model assumes a uniform, wellmixed population, and incorporation of spatial heterogeneities remains a major challenge. Understanding failures of the mixing assumption is important for designing effective disease mitigation approaches. We combine a run-and-tumble self-propelled active matter system with an S-I-R model to capture the effects of spatial disorder. Working in the motility-induced phase separation regime both with and without quenched disorder, we find two epidemic regimes. For low transmissibility, quenched disorder lowers the frequency of epidemics and increases their average duration. For high transmissibility, the epidemic spreads as a front and the epidemic curves are less sensitive to quenched disorder; however, within this regime it is possible for quenched disorder to enhance the contagion by creating regions of higher particle densities. We discuss how this system could be realized using artificial swimmers with mobile optical traps operated on a feedback loop.

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Agent-Based simulation reveals localized isolation key to saving lives and resources

Karmakar

2024

Physica A: Statistical Mechanics and its Applications

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Effects of confinement and vaccination on an epidemic outburst: A statistical mechanics approach

Cited by 6 publications

References 41 publications

Towards Disaster-Resilient Slums in Kolkata

Towards Disaster-Resilient Slums in Kolkata

Using Active Matter to Introduce Spatial Heterogeneity to the Susceptible-Infected-Recovered Model of Epidemic Spreading

Agent-Based simulation reveals localized isolation key to saving lives and resources

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