在 "剪刀石头布 "模型中应对地方流行病爆发的流动限制

IF 2.6 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Physics Complexity Pub Date : 2024-03-08 DOI:10.1088/2632-072x/ad2d5b
J Menezes
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引用次数: 0

摘要

我们研究了一个三物种循环模型,该模型中的生物很容易受到人际传播的传染病的污染。我们认为,当流行病爆发到达邻近地区时,一个物种的个体会采取自我保护策略,降低流动率,从而将感染风险降到最低。通过随机模拟,我们量化了由其中一个物种的生物体的流动限制策略所带来的循环博弈中的不平衡性所引起的空间模式变化。我们的研究结果表明,疾病毒性的变化会影响限制扩散反应的益处,在传染性较弱或致命性较高的疾病激增时,生物体感染风险的相对降低会更加明显。流动限制策略的有效性取决于减速水平和被认为太危险的受感染邻居的比例,从而触发防御策略。如果每种生物都能在其周围出现第一批病毒载体时迅速做出反应,严格降低流动性,那么污染风险就会大大降低。我们的结论可能有助于生物学家理解流行病期间生态系统中防御策略的影响。
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Mobility restrictions in response to local epidemic outbreaks in rock-paper-scissors models
We study a three-species cyclic model whose organisms are vulnerable to contamination with an infectious disease which propagates person-to-person. We consider that individuals of one species perform a self-preservation strategy by reducing the mobility rate to minimise infection risk whenever an epidemic outbreak reaches the neighbourhood. Running stochastic simulations, we quantify the changes in spatial patterns induced by unevenness in the cyclic game introduced by the mobility restriction strategy of organisms of one out of the species. Our findings show that variations in disease virulence impact the benefits of dispersal limitation reaction, with the relative reduction of the organisms’ infection risk accentuating in surges of less contagious or deadlier diseases. The effectiveness of the mobility restriction tactic depends on the deceleration level and the fraction of infected neighbours which is considered too dangerous, thus triggering the defensive strategy. If each organism promptly reacts to the arrival of the first viral vectors in its surroundings with strict mobility reduction, contamination risk decreases significantly. Our conclusions may help biologists understand the impact of defensive strategies in ecosystems during an epidemic.
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来源期刊
Journal of Physics Complexity
Journal of Physics Complexity Computer Science-Information Systems
CiteScore
4.30
自引率
11.10%
发文量
45
审稿时长
14 weeks
期刊最新文献
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