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Data-Driven Approaches for Predicting Spread of Infectious Diseases Through DINNs: Disease Informed Neural Networks 通过dinn预测传染病传播的数据驱动方法:疾病通知神经网络
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.30707/lib9.1.1681913305.249476
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引用次数: 0
Effects of Contact Tracing and Self-Reporting in a Network Disease Model 网络疾病模型中接触者追踪和自我报告的影响
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.30707/lib9.1.1681913305.219107
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引用次数: 0
Mathematical Modeling and Dynamics of SARS-CoV-2 in Colombia 哥伦比亚SARS-CoV-2的数学建模和动力学
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.30707/lib9.1.1681913305.229221
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引用次数: 0
Modeling Seasonal Malaria Transmission: A Methodology Connecting Regional Temperatures to Mosquito and Parasite Developmental Traits 季节性疟疾传播建模:一种将区域温度与蚊子和寄生虫发育特征联系起来的方法
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.30707/lib10.1.1682014077.793816
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引用次数: 0
Assessment of COVID-19 Hospitalization Forecasts from a Simplified SIR Model 基于简化SIR模型的COVID-19住院预测评估
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.30707/lib8.1.1682013528.154572
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引用次数: 0
Control Strategies to Contain SARS-CoV-2 in a Data Driven SIR Model for the State of Michigan, USA 基于数据驱动SIR模型的美国密歇根州SARS-CoV-2控制策略
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.30707/lib8.1.1682013936.856124
N. Ortiz-Robinson, C. Foster-Bey
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引用次数: 0
The Influence of Quarantine Before Obtaining a Partially Effective Preventive Measure 取得部分有效预防措施前的检疫影响
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.30707/lib9.1.1681913305.239355
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引用次数: 0
Fostering Research: Letters in Biomathematics Adapts to Changing Times 促进研究:生物数学书信适应时代变化
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.30707/lib9.1.1681913305.190732
Olcay Akman
As we are starting 2023, Letters in Biomathematics (LiB) is celebrating a decade of service to the researchers, educators, and scholars in disseminating their high-quality academic work. We are proud of the place that LiB has reached in research and education of the mathematical biology world. Thanks to the generous support of the Intercollegiate Biomathematics Alliance, LiBhas proven itself to be one of the highly respected journals that showcase the contributions of a broad spectrum of researchers and scholars. Of course, we cannot forget the consistent sponsorship of the Intercollegiate Biomathematics Alliance (IBA), a consortium of universities and colleges working together to foster and promote the advancement of mathematical biology. It is the IBA’s support that makes it possible for LiB to remain accessible to the biomathematics world during the times when costs for openaccess article publication are skyrocketing, making it difficult if not impossible to reach for the vast majority of researchers, educators, and scholars. I am deeply indebted to the members of our energetic Editorial Board for their tireless work during this decade-long journey. To our authors and reviewers, please accept my deepest gratitude as well for your contributions that have brought much success since our inception. We rely on you to continue spreading the word to your colleagues and students.
从2023年开始,《生物数学快报》(LiB)正在庆祝为研究人员、教育工作者和学者提供高质量学术工作的十年服务。我们为LiB在数学生物学世界的研究和教育方面所取得的成就感到自豪。感谢校际生物数学联盟的慷慨支持,《生物数学》已经证明了自己是一份备受尊敬的期刊,展示了广泛的研究人员和学者的贡献。当然,我们不能忘记校际生物数学联盟(IBA)的一贯赞助,这是一个由大学和学院组成的联盟,共同促进和促进数学生物学的进步。正是在IBA的支持下,在开放获取文章出版成本飞涨的时代,生物数学领域仍然可以访问LiB,这使得绝大多数研究人员、教育工作者和学者很难(如果不是不可能的话)接触到LiB。我非常感谢我们精力充沛的编辑委员会成员在这十年的旅程中孜孜不倦的工作。对于我们的作者和审稿人,请接受我最深的谢意,感谢你们自我们成立以来所做的贡献,为我们带来了巨大的成功。我们依靠你们继续向你们的同事和学生传播这个信息。
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引用次数: 0
Saving the Devils Is in the Details: Tasmanian Devil Facial Tumor Disease Can Be Eliminated with Interventions. 拯救魔鬼在细节:袋獾面部肿瘤疾病可以通过干预消除。
Q3 Mathematics Pub Date : 2022-02-15 DOI: 10.30707/LiB9.1.1681913305.269822
Brian Drawert, Andrew S Flies, Sean Matthew, Megan Powell, Bryan Rumsey

Tasmanian Devils facial tumor disease (DFTD) is severely impacting the population of this wild animal. We developed a computational model of the population of Tasmanian Devils, and the change induced by DFTD. We use this model to test possible intervention strategies Tasmanian conservationists could do. We investigate bait drop vaccination programs, diseased animal removals programs, and evolution of natural immunity. We conclude that a combination of intervention strategies gives the most favorable outcome. An additional goal of this paper is reproducibility of our results. Our StochSS software platform features the ability to share and reproduce the computational notebooks that created all of the results in the paper. We endeavor that all readers should be able to reproduce our results with minimum effort.

袋獾面部肿瘤疾病(DFTD)严重影响了这种野生动物的种群。我们建立了袋獾种群的计算模型,以及DFTD引起的变化。我们用这个模型来测试塔斯马尼亚自然资源保护主义者可能采取的干预策略。我们调查了投饵疫苗接种计划、患病动物清除计划和自然免疫的进化。我们得出的结论是,多种干预策略的组合会产生最有利的结果。本文的另一个目标是我们的结果的可重复性。我们的StochSS软件平台的特点是能够共享和复制创建论文中所有结果的计算笔记本。我们努力使所有读者都能以最小的努力再现我们的结果。
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引用次数: 0
Mathematical Analysis of an Epidemic Model for COVID-19: How Important Is the People's Cautiousness Level for Eradication? 新冠肺炎流行模型的数学分析:人们对根除的谨慎程度有多重要?
Q3 Mathematics Pub Date : 2021-08-05 DOI: 10.30707/lib9.1.1681913305.200838
B. Yong, Livia Owen, Jonathan Hoseana
We construct an SIR-type model for COVID-19, incorporating as a parameter the susceptible individuals' cautiousness level. We determine the model's basic reproduction number, study the stability of the equilibria analytically, and perform a sensitivity analysis to confirm the significance of the cautiousness level. Fixing specific values for all other parameters, we study numerically the model's dynamics as the cautiousness level varies, revealing backward transcritical, Hopf, and saddle-node bifurcations of equilibria, as well as homoclinic and fold bifurcations of limit cycles with the aid of AUTO. Considering some key events affecting the pandemic in Indonesia, we design a scenario in which the cautiousness level varies over time, and show that the model exhibits a hysteresis, whereby, a slight cautiousness decrease could bring a disease-free state to endemic, and this is reversible only by a drastic cautiousness increase, thereby mathematically justifying the importance of a high cautiousness level for resolving the pandemic. © 2022, Intercollegiate Biomathematics Alliance. All rights reserved.
我们构建了新冠肺炎的SIR型模型,将易感个体的谨慎水平作为参数。我们确定了模型的基本繁殖数,分析研究了平衡的稳定性,并进行了灵敏度分析,以确认谨慎水平的重要性。通过固定所有其他参数的特定值,我们对模型的动力学进行了数值研究,随着谨慎程度的变化,揭示了平衡的后向跨临界、Hopf和鞍节点分叉,以及极限环的同宿和折叠分叉。考虑到影响印尼疫情的一些关键事件,我们设计了一个场景,其中谨慎程度随着时间的推移而变化,并表明该模型表现出滞后性,因此,谨慎程度的轻微降低可能会使无病状态变为地方病,而这只有通过谨慎程度的急剧增加才能逆转,从而从数学上证明了高度谨慎对解决疫情的重要性。©2022,校际生物数学联盟。保留所有权利。
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引用次数: 3
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Letters in Biomathematics
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