Mathematical Biosciences最新文献

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Stochastic two-strain epidemic model with saturated incidence rates driven by Lévy noise 莱维噪声驱动饱和发病率的双菌株随机流行病模型。
IF 1.9 4区 数学
Mathematical Biosciences Pub Date : 2024-07-20 DOI: 10.1016/j.mbs.2024.109262
Marya Sadki, Karam Allali
{"title":"Stochastic two-strain epidemic model with saturated incidence rates driven by Lévy noise","authors":"Marya Sadki,&nbsp;Karam Allali","doi":"10.1016/j.mbs.2024.109262","DOIUrl":"10.1016/j.mbs.2024.109262","url":null,"abstract":"<div><p>In this paper, we introduce a stochastic two-strain epidemic model driven by Lévy noise describing the interaction between four compartments; susceptible, infected individuals by the first strain, infected ones by the second strain and the recovered individuals. The forces of infection, for both strains, are represented by saturated incidence rates. Our study begins with the investigation of unique global solution of the suggested mathematical model. Then, it moves to the determination of sufficient conditions of extinction and persistence in mean of the two-strain disease. In order to illustrate the theoretical findings, we give some numerical simulations.</p></div>","PeriodicalId":51119,"journal":{"name":"Mathematical Biosciences","volume":"375 ","pages":"Article 109262"},"PeriodicalIF":1.9,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141750145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sustainable scenarios in a plants–rhizobacteria–plant consumers system are in risk when biotic or abiotic factors change 当生物或非生物因素发生变化时,植物-根瘤菌-植物消费者系统中的可持续方案就会面临风险。
IF 1.9 4区 数学
Mathematical Biosciences Pub Date : 2024-07-19 DOI: 10.1016/j.mbs.2024.109261
José Geiser Villavicencio-Pulido , Rodrigo Robles-Sámano , Brenda Tapia-Santos
{"title":"Sustainable scenarios in a plants–rhizobacteria–plant consumers system are in risk when biotic or abiotic factors change","authors":"José Geiser Villavicencio-Pulido ,&nbsp;Rodrigo Robles-Sámano ,&nbsp;Brenda Tapia-Santos","doi":"10.1016/j.mbs.2024.109261","DOIUrl":"10.1016/j.mbs.2024.109261","url":null,"abstract":"<div><p>The ecological relationship among plants, rhizobacteria and plant consumers has attracted the attention of researchers due to its implications in field crops. It is known that, the rhizosphere is occupied not only by rhizobacteria which grant benefits to the plants but also by bacteria which are detrimental for them. In this work, we construct and analyze a plants–rhizobacteria–plant consumers system. In the modeling process, it is assumed that there is a conditioned interaction between plants and bacteria in the rhizosfera such that there is a mutualistic relationship at low densities of rhizobacteria and the relationship is parasitic or competitive at higher densities of them. Benefits granted by rhizobacteria include mechanisms that increase the plant growth and defense mechanisms against plant consumers. From the analysis of the model and its simplified version, we show that scenarios of coexistence of all populations can occur for a wide range of values of the parameters which describe biotic or abiotic factors; however, these scenarios are in risk since scenarios of exclusion of species can occur simultaneously due to the presence of bistability phenomena. The results obtained can be useful for the decision makers to design interventions strategies on field crops when plant growth-promoting rhizobacteria are used.</p></div>","PeriodicalId":51119,"journal":{"name":"Mathematical Biosciences","volume":"375 ","pages":"Article 109261"},"PeriodicalIF":1.9,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141736207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stratified epidemic model using a latent marked Hawkes process 使用潜在标记霍克斯过程的分层流行病模型。
IF 1.9 4区 数学
Mathematical Biosciences Pub Date : 2024-07-18 DOI: 10.1016/j.mbs.2024.109260
Stamatina Lamprinakou , Axel Gandy
{"title":"Stratified epidemic model using a latent marked Hawkes process","authors":"Stamatina Lamprinakou ,&nbsp;Axel Gandy","doi":"10.1016/j.mbs.2024.109260","DOIUrl":"10.1016/j.mbs.2024.109260","url":null,"abstract":"<div><p>We extend the unstructured homogeneously mixing epidemic model introduced by Lamprinakou et al. (2023) to a finite population stratified by age bands. We model the actual unobserved infections using a latent marked Hawkes process and the reported aggregated infections as random quantities driven by the underlying Hawkes process. We apply a Kernel Density Particle Filter (KDPF) to infer the marked counting process, the instantaneous reproduction number for each age group and forecast the epidemic’s trajectory in the near future. Taking into account the individual inhomogeneity in age does not increase significantly the computational cost of the proposed inference algorithm compared to the cost of the proposed algorithm for the homogeneously unstructured epidemic model. We demonstrate that considering the individual heterogeneity in age, we can derive the instantaneous reproduction numbers per age group that provide a real-time measurement of interventions and behavioural changes of the associated groups. We illustrate the performance of the proposed inference algorithm on synthetic data sets and COVID-19-reported cases in various local authorities in the UK, and benchmark our model to the unstructured homogeneously mixing epidemic model. Our paper is a “demonstration” of a methodology that might be applied to factors other than age for stratification.</p></div>","PeriodicalId":51119,"journal":{"name":"Mathematical Biosciences","volume":"375 ","pages":"Article 109260"},"PeriodicalIF":1.9,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0025556424001202/pdfft?md5=401970542a2e47b018c13a6afb47611f&pid=1-s2.0-S0025556424001202-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141736206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Social vs. individual age-dependent costs of imperfect vaccination 不完善疫苗接种的社会成本与个人年龄成本。
IF 1.9 4区 数学
Mathematical Biosciences Pub Date : 2024-07-15 DOI: 10.1016/j.mbs.2024.109259
Fabio A.C.C. Chalub, Paulo Doutor, Paula Patrício, Maria do Céu Soares
{"title":"Social vs. individual age-dependent costs of imperfect vaccination","authors":"Fabio A.C.C. Chalub,&nbsp;Paulo Doutor,&nbsp;Paula Patrício,&nbsp;Maria do Céu Soares","doi":"10.1016/j.mbs.2024.109259","DOIUrl":"10.1016/j.mbs.2024.109259","url":null,"abstract":"<div><p>In diseases with long-term immunity, vaccination is known to increase the average age at infection as a result of the decrease in the pathogen circulation. This implies that a vaccination campaign can have negative effects when a disease is more costly (financial or health-related costs) for higher ages. This work considers an age-structured population transmission model with imperfect vaccination. We aim to compare the social and individual costs of vaccination, assuming that disease costs are age-dependent, while the disease’s dynamic is age-independent. A model for pathogen deterministic dynamics in a population consisting of juveniles and adults, assumed to be rational agents, is introduced. The parameter region for which vaccination has a positive social impact is fully characterized and the Nash equilibrium of the vaccination game is obtained. Finally, collective strategies designed to promote voluntary vaccination, without compromising social welfare, are discussed.</p></div>","PeriodicalId":51119,"journal":{"name":"Mathematical Biosciences","volume":"375 ","pages":"Article 109259"},"PeriodicalIF":1.9,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0025556424001196/pdfft?md5=1481c1a756cdeb542b5c4c5464475a67&pid=1-s2.0-S0025556424001196-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141636315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Infection thresholds for two interacting pathogens in a wild animal population 野生动物种群中两种相互影响的病原体的感染阈值。
IF 1.9 4区 数学
Mathematical Biosciences Pub Date : 2024-07-14 DOI: 10.1016/j.mbs.2024.109258
M.G. Roberts
{"title":"Infection thresholds for two interacting pathogens in a wild animal population","authors":"M.G. Roberts","doi":"10.1016/j.mbs.2024.109258","DOIUrl":"10.1016/j.mbs.2024.109258","url":null,"abstract":"<div><p>We present a model for the dynamics of two interacting pathogen variants in a wild animal host population. Using the next-generation matrix approach we define the invasion threshold for one pathogen variant when the other is already established and at steady state. We then provide explicit criteria for the special cases where: i) the two pathogen variants exclude each other; ii) one variant excludes the other; iii) the population dynamics of hosts infected with both variants are independent of the order of infection; iv) there is no interaction between the variants; and v) one variant enhances transmission of the other.</p></div>","PeriodicalId":51119,"journal":{"name":"Mathematical Biosciences","volume":"375 ","pages":"Article 109258"},"PeriodicalIF":1.9,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0025556424001184/pdfft?md5=3082e233e6ad8be65dda70db498fc04d&pid=1-s2.0-S0025556424001184-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141617861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mathematical analysis of simple behavioral epidemic models 简单行为流行病模型的数学分析。
IF 1.9 4区 数学
Mathematical Biosciences Pub Date : 2024-07-14 DOI: 10.1016/j.mbs.2024.109250
Leah LeJeune , Navid Ghaffarzadegan , Lauren M. Childs , Omar Saucedo
{"title":"Mathematical analysis of simple behavioral epidemic models","authors":"Leah LeJeune ,&nbsp;Navid Ghaffarzadegan ,&nbsp;Lauren M. Childs ,&nbsp;Omar Saucedo","doi":"10.1016/j.mbs.2024.109250","DOIUrl":"10.1016/j.mbs.2024.109250","url":null,"abstract":"<div><p>COVID-19 highlighted the importance of considering human behavior change when modeling disease dynamics. This led to developing various models that incorporate human behavior. Our objective is to contribute to an in-depth, mathematical examination of such models. Here, we consider a simple deterministic compartmental model with endogenous incorporation of human behavior (i.e., behavioral feedback) through transmission in a classic Susceptible–Exposed–Infectious–Recovered (SEIR) structure. Despite its simplicity, the SEIR structure with behavior (SEIRb) was shown to perform well in forecasting, especially compared to more complicated models. We contrast this model with an SEIR model that excludes endogenous incorporation of behavior. Both models assume permanent immunity to COVID-19, so we also consider a modification of the models which include waning immunity (SEIRS and SEIRSb). We perform equilibria, sensitivity, and identifiability analyses on all models and examine the fidelity of the models to replicate COVID-19 data across the United States. Endogenous incorporation of behavior significantly improves a model’s ability to produce realistic outbreaks. While the two endogenous models are similar with respect to identifiability and sensitivity, the SEIRSb model, with the more accurate assumption of the waning immunity, strengthens the initial SEIRb model by allowing for the existence of an endemic equilibrium, a realistic feature of COVID-19 dynamics. When fitting the model to data, we further consider the addition of simple seasonality affecting disease transmission to highlight the explanatory power of the models.</p></div>","PeriodicalId":51119,"journal":{"name":"Mathematical Biosciences","volume":"375 ","pages":"Article 109250"},"PeriodicalIF":1.9,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141622053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Efficient and scalable prediction of stochastic reaction–diffusion processes using graph neural networks 利用图神经网络高效、可扩展地预测随机反应-扩散过程。
IF 1.9 4区 数学
Mathematical Biosciences Pub Date : 2024-07-08 DOI: 10.1016/j.mbs.2024.109248
{"title":"Efficient and scalable prediction of stochastic reaction–diffusion processes using graph neural networks","authors":"","doi":"10.1016/j.mbs.2024.109248","DOIUrl":"10.1016/j.mbs.2024.109248","url":null,"abstract":"<div><p>The dynamics of locally interacting particles that are distributed in space give rise to a multitude of complex behaviours. However the simulation of reaction–diffusion processes which model such systems is highly computationally expensive, the cost increasing rapidly with the size of space. Here, we devise a graph neural network based approach that uses cheap Monte Carlo simulations of reaction–diffusion processes in a small space to cast predictions of the dynamics of the same processes in a much larger and complex space, including spaces modelled by networks with heterogeneous topology. By applying the method to two biological examples, we show that it leads to accurate results in a small fraction of the computation time of standard stochastic simulation methods. The scalability and accuracy of the method suggest it is a promising approach for studying reaction–diffusion processes in complex spatial domains such as those modelling biochemical reactions, population evolution and epidemic spreading.</p></div>","PeriodicalId":51119,"journal":{"name":"Mathematical Biosciences","volume":"375 ","pages":"Article 109248"},"PeriodicalIF":1.9,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0025556424001081/pdfft?md5=945b85127a938ae609979d1a052b313a&pid=1-s2.0-S0025556424001081-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141581940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analyzing the use of non-pharmaceutical personal protective measures through self-interest and social optimum for the control of an emerging disease 分析通过自我利益和社会最优化使用非药物个人防护措施来控制一种新出现的疾病。
IF 1.9 4区 数学
Mathematical Biosciences Pub Date : 2024-07-04 DOI: 10.1016/j.mbs.2024.109246
Aniruddha Deka , Ceyhun Eksin , Martial L. Ndeffo-Mbah
{"title":"Analyzing the use of non-pharmaceutical personal protective measures through self-interest and social optimum for the control of an emerging disease","authors":"Aniruddha Deka ,&nbsp;Ceyhun Eksin ,&nbsp;Martial L. Ndeffo-Mbah","doi":"10.1016/j.mbs.2024.109246","DOIUrl":"10.1016/j.mbs.2024.109246","url":null,"abstract":"<div><p>Non-pharmaceutical personal protective (NPP) measures such as face masks use, and hand and respiratory hygiene can be effective measures for mitigating the spread of aerosol/airborne diseases, such as COVID-19, in the absence of vaccination or treatment. However, the usage of such measures is constrained by their inherent perceived cost and effectiveness for reducing transmission risk. To understand the complex interaction of disease dynamics and individuals decision whether to adopt NPP or not, we incorporate evolutionary game theory into an epidemic model such as COVID-19. To compare how self-interested NPP use differs from social optimum, we also investigated optional control from a central planner’s perspective. We use Pontryagin’s maximum principle to identify the population-level NPP uptake that minimizes disease incidence by incurring the minimum costs. The evolutionary behavior model shows that NPP uptake increases at lower perceived costs of NPP, higher transmission risk, shorter duration of NPP use, higher effectiveness of NPP, and shorter duration of disease-induced immunity. Though social optimum NPP usage is generally more effective in reducing disease incidence than self-interested usage, our analysis identifies conditions under which both strategies get closer. Our model provides new insights for public health in mitigating a disease outbreak through NPP.</p></div>","PeriodicalId":51119,"journal":{"name":"Mathematical Biosciences","volume":"375 ","pages":"Article 109246"},"PeriodicalIF":1.9,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141545722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A soluble model for synchronized rhythmic activity in ant colonies 蚁群同步节律活动的可溶性模型
IF 1.9 4区 数学
Mathematical Biosciences Pub Date : 2024-07-03 DOI: 10.1016/j.mbs.2024.109245
Pedro M.M. da Silveira, José F. Fontanari
{"title":"A soluble model for synchronized rhythmic activity in ant colonies","authors":"Pedro M.M. da Silveira,&nbsp;José F. Fontanari","doi":"10.1016/j.mbs.2024.109245","DOIUrl":"10.1016/j.mbs.2024.109245","url":null,"abstract":"<div><p>Synchronization is one of the most striking instances of collective behavior, occurring in many natural phenomena. For example, in some ant species, ants are inactive within the nest most of the time, but their bursts of activity are highly synchronized and involve the entire nest population. Here we revisit a simulation model that generates this synchronized rhythmic activity through autocatalytic behavior, i.e., active ants can activate inactive ants, followed by a period of rest. We derive a set of delay differential equations that provide an accurate description of the simulations for large ant colonies. Analysis of the fixed-point solutions, complemented by numerical integration of the equations, indicates the existence of stable limit-cycle solutions when the rest period is greater than a threshold and the event of spontaneous activation of inactive ants is very unlikely, so that most of the arousal of ants is done by active ants. Furthermore, we argue that the persistent oscillations observed in the simulations for colonies of finite size are due to resonant amplification of demographic noise.</p></div>","PeriodicalId":51119,"journal":{"name":"Mathematical Biosciences","volume":"375 ","pages":"Article 109245"},"PeriodicalIF":1.9,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141539103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modeling and analysis of a human papilloma virus transmission model with impact of media 受媒体影响的人类乳头瘤病毒传播模型的建模与分析。
IF 1.9 4区 数学
Mathematical Biosciences Pub Date : 2024-07-03 DOI: 10.1016/j.mbs.2024.109247
{"title":"Modeling and analysis of a human papilloma virus transmission model with impact of media","authors":"","doi":"10.1016/j.mbs.2024.109247","DOIUrl":"10.1016/j.mbs.2024.109247","url":null,"abstract":"<div><p>The human papillomavirus (HPV) is threatening human health as it spreads globally in varying degrees. On the other hand, the speed and scope of information transmission continues to increase, as well as the significant increase in the number of HPV-related news reports, it has never been more important to explore the role of media news coverage in the spread and control of the virus. Using a decreasing factor that captures the impact of media on the actions of people, this paper develops a model that characterizes the dynamics of HPV transmission with media impact, vaccination and recovery. We obtain global stability of equilibrium points employing geometric method, and further yield effective methods to contain the HPV pandemic by sensitivity analysis. With the center manifold theory, we show that there is a forward bifurcation when <span><math><mrow><msub><mi>R</mi><mn>0</mn></msub><mo>=</mo><mn>1</mn></mrow></math></span>. Our study suggested that, besides controlling contact between infected and susceptible populations and improving effective vaccine coverage, a better intervention would be to strengthen media coverage. In addition, we demonstrated that contact rate and the effect of media coverage result in multiple epidemics of infection when certain conditions are met, implying that interventions need to be tailored to specific situations.</p></div>","PeriodicalId":51119,"journal":{"name":"Mathematical Biosciences","volume":"375 ","pages":"Article 109247"},"PeriodicalIF":1.9,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141539104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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