Academic literature on the topic 'Age-structured model'

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Journal articles on the topic "Age-structured model"

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Dewi, Sonya, and Peter Chesson. "The age-structured lottery model." Theoretical Population Biology 64, no. 3 (2003): 331–43. http://dx.doi.org/10.1016/s0040-5809(03)00094-7.

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Cochran, John M., and Yongzhi Xu. "Age-structured dengue epidemic model." Applicable Analysis 93, no. 11 (2014): 2249–76. http://dx.doi.org/10.1080/00036811.2014.918963.

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Bekkal-Brikci, Fadia, Khalid Boushaba, and Ovide Arino. "Nonlinear age structured model with cannibalism." Discrete & Continuous Dynamical Systems - B 7, no. 2 (2007): 201–18. http://dx.doi.org/10.3934/dcdsb.2007.7.201.

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McGarvey, Richard. "An Age-Structured Open-Access Fishery Model." Canadian Journal of Fisheries and Aquatic Sciences 51, no. 4 (1994): 900–912. http://dx.doi.org/10.1139/f94-089.

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A dynamic model for open-access fisheries is presented. In addition to density dependence in recruitment and fishing effort changing in proportion to the level of profit fishermen earn which characterizes previous open-access models, it incorporates full age structure for the fish stock, lognormal environmental recruitment variability, and gear selectivity. The predator–prey cycling solution of the original Schaefer dynamic model, and subsequent open-access models, persists for these model extensions. Density dependence in recruitment induces greater global stability. Environmental recruitment
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Hethcote, Herbert W. "An age-structured model for pertussis transmission." Mathematical Biosciences 145, no. 2 (1997): 89–136. http://dx.doi.org/10.1016/s0025-5564(97)00014-x.

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Gourley, S. A., and Rongsong Liu. "An Age-structured Model of Bird Migration." Mathematical Modelling of Natural Phenomena 10, no. 6 (2015): 61–76. http://dx.doi.org/10.1051/mmnp/201510606.

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Degond, Pierre, Angelika Manhart, and Hui Yu. "An age-structured continuum model for myxobacteria." Mathematical Models and Methods in Applied Sciences 28, no. 09 (2018): 1737–70. http://dx.doi.org/10.1142/s0218202518400043.

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Myxobacteria are social bacteria, that can glide in two dimensions and form counter-propagating, interacting waves. Here, we present a novel age-structured, continuous macroscopic model for the movement of myxobacteria. The derivation is based on microscopic interaction rules that can be formulated as a particle-based model and set within the Self-Organized Hydrodynamics (SOH) framework. The strength of this combined approach is that microscopic knowledge or data can be incorporated easily into the particle model, whilst the continuous model allows for easy numerical analysis of the different
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Fitzgibbon, W. E., M. E. Parrott, and G. F. Webb. "A diffusive age-structured SEIRS epidemic model." Methods and Applications of Analysis 3, no. 3 (1996): 358–69. http://dx.doi.org/10.4310/maa.1996.v3.n3.a5.

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Andreasen, Viggo, and Thomas Frommelt. "A School-Oriented, Age-Structured Epidemic Model." SIAM Journal on Applied Mathematics 65, no. 6 (2005): 1870–87. http://dx.doi.org/10.1137/040610684.

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FENG, ZHILAN, LIBIN RONG, and ROBERT K. SWIHART. "DYNAMICS OF AN AGE-STRUCTURED METAPOPULATION MODEL." Natural Resource Modeling 18, no. 4 (2008): 415–40. http://dx.doi.org/10.1111/j.1939-7445.2005.tb00166.x.

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Dissertations / Theses on the topic "Age-structured model"

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El, Idrissi Omar. "Analysis of a prey-predator model in age-structured population dynamics." Doctoral thesis, Universitat Autònoma de Barcelona, 2001. http://hdl.handle.net/10803/3070.

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Heery, Eliza Crenshaw. "The impact of bias in length frequency data on an age structured fisheries stock assessment model." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/32865.

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Statistical age-structured models are widely used in fisheries stock assessment. These models have been become increasingly complex over recent decades, allowing them to incorporate a larger variety of fisheries data. These typically include information regarding annual fishery yields, indices of abundance and catch composition data, which reflect the distribution of ages in the harvested population each year. In some fisheries, age composition can be determined annually through the examination of annuli on hard parts, such as otoliths or scales. These methods are, however, costly, time co
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Kanik, Zafer. "Mechanism Design For The Optimal Allocation Of Quotas And The Determination Of The Total Allowable Catch For Eu Fisheries Under An Age-structured Model." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614678/index.pdf.

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In this study, we consider the mechanism design problem for the optimal allocation of fishing quotas at different total allowable catch (TAC) levels. An age-structured fish population model is employed. Fishing technologies are embedded in the economic model as a key determinant. As a result, we showed that the quota allocation mechanism is important to minimize the impact of fishing on total fish biomass or achieve maximum sustainable yield (MSY). Moreover, we indicated technology-based optimality conditions for allocation of quotas at different TAC levels, which minimize the impact of fishin
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Hutton, Trevor P. "The status and productivity of the Cape hake stock off the west coast of South Africa based on an age-structured production model with different stock-recruitment and fishing selectivity-at-age relationships." Master's thesis, University of Cape Town, 1993. http://hdl.handle.net/11427/21629.

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Bibliography: pages 41-47<br>The surplus production model and ad hoc tuned VPA assessment methods currently used to provide the basis for scientific TAC recommendations for the Cape hake resource off South Africa provide rather different appraisals of the current status and productivity of this resource. The production model approach is based on the Butterworth-Andrew observation error estimator, and takes catch per unit effort (CPUE), as well as biomass survey data into account. The ad hoc tuned VPA is based on the Laurec-Shepherd tuning algorithm and utilizes catch-at-age and effort informat
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Daukste, Liene. "Mathematical Modelling of Cancer Cell Population Dynamics." Thesis, University of Canterbury. Department of Mathematics and Statistics, 2012. http://hdl.handle.net/10092/10057.

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Mathematical models, that depict the dynamics of a cancer cell population growing out of the human body (in vitro) in unconstrained microenvironment conditions, are considered in this thesis. Cancer cells in vitro grow and divide much faster than cancer cells in the human body, therefore, the effects of various cancer treatments applied to them can be identified much faster. These cell populations, when not exposed to any cancer treatment, exhibit exponential growth that we refer to as the balanced exponential growth (BEG) state. This observation has led to several effective methods of estimat
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Liu, Shouzong. "AGE-STRUCTURED PREDATOR-PREY MODELS." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/dissertations/1577.

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In this thesis, we study the population dynamics of predator-prey interactions described by mathematical models with age/stage structures. We first consider fixed development times for predators and prey and develop a stage-structured predator-prey model with Holling type II functional response. The analysis shows that the threshold dynamics holds. That is, the predator-extinction equilibrium is globally stable if the net reproductive number of the predator $\mathcal{R}_0$ is less than $1$, while the predator population persists if $\mathcal{R}_0$ is greater than $1$. Numerical simulations are
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Toth, Damon. "Analysis of age-structured chemostat models /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/6780.

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Cherif, Alhaji. "Mathematical evolutionary epidemiology : limited epitopes, evolution of strain structures and age-specificity." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:28dec0f4-e6da-466a-905c-d875f132415e.

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We investigate the biological constraints determined by the complex relationships between ecological and immunological processes of host-pathogen interactions, with emphasis on influenza viruses in human, which are responsible for a number of pandemics in the last 150 years. We begin by discussing prolegomenous reviews of historical perspectives on the use of theoretical modelling as a complementary tool in public health and epidemiology, current biological background motivating the objective of the thesis, and derivations of mathematical models of multi-locus-allele systems for infectious dis
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Li, Linlin. "Analyse mathématique d'un modèle d'équations aux dérivées partielles décrivant l'adaptation des moustiques face à l'usage des insecticides." Thesis, Bordeaux, 2018. http://www.theses.fr/2018BORD0097/document.

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Dans cette thèse on s'intéresse à un modèle mathématique décrivant l'adaptation du développement des populations de moustiques face à l'usage intensif des insecticides durant la nuit (moustiquaires imprégnées, répulsifs en spray, répulsifs avec diffuseur électrique, ...).Le modèle proposé dans cette thèse est structuré en âge et dépend du temps/moment où le moustique pique pour prendre son repas. Ceci nous conduità des modèles du type ultra parabolique. Le terme de renouvellement de lapopulation de moustiques est non-local, comme pour tous les problèmes démographiques, mais comporte ici un noy
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Ejigu, Amsalework Ayele. "Mathematical modelling of HIV/AIDS transmission under treatment structured by age of infection." Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6628.

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Thesis (MSc (Mathematical Sciences))--University of Stellenbosch, 2011.<br>Includes bibliography.<br>ENGLISH ABSTRACT: This thesis takes into account the different levels of infectiousness of the human immunodeficiency virus (HIV) infected individuals throughout their period of infection. Infectiousness depends on the time since infection. It is high shortly after the infection occurs and then much lower for several years, and thereafter a higher plateau is reached before the acquired immunodeficiency syndrome (AIDS) phase sets in. In line with this, we formulated a mathematical model whi
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Books on the topic "Age-structured model"

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Matulich, Scott C. A recursive age-structured model of Alaskan red king crab. Alaska Dept. of Fish and Game, Division of Commercial Fisheries, 1988.

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Matulich, Scott C. A recursive age-structured model of Alaskan red king crab. Alaska Dept. of Fish and Game, Division of Commercial Fisheries, 1988.

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Iannelli, Mimmo. Mathematical theory of age-structured population dynamics. Giardini editori e stampatori, 1995.

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Charlesworth, Brian. Evolution in age-structured populations. 2nd ed. Cambridge University Press, 1994.

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Anita̧, Sebastian. Analysis and control of age-dependent population dynamics. Kluwer Academic Publishers, 2000.

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Atiyah, Asaad Mohammed. al- Takwīn al-ʻumrī li-sukkān duwal Majlis al-Taʻāwun li-Duwal al-Khalīj al-ʻArabīyah. al-Mamlakah al-ʻArabīyah al-Saʻūdīyah, Wizārat al-Taʻlīm al-ʻĀlī, Jāmiʻat Umm al-Qurá, Maʻhad al-Buḥūth al-ʻIlmīyah wa-Iḥyāʾ al-Turāth al-Islāmī, Markaz Buḥūth al-ʻUlūm al-Ijtimāʻīyah, 1998.

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S, Madheswaran, ed. Technological progress, scale effect, and total factor productivity growth in Indian cement industry: Panel estimation of stochastic production frontier. Institute for Social and Economic Change, 2009.

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Magal, Pierre. Center manifolds for semilinear equations with non-dense domain and applications to Hopf bifurcation in age structured models. American Mathematical Society, 2009.

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1963-, Ruan Shigui, ed. Center manifolds for semilinear equations with non-dense domain and applications to Hopf bifurcation in age structured models. American Mathematical Society, 2009.

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Smith, Steven J. Optimal harvesting of continuous age structured populations. 1988.

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Book chapters on the topic "Age-structured model"

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Inaba, Hisashi. "Age-Structured SIR Epidemic Model." In Age-Structured Population Dynamics in Demography and Epidemiology. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-0188-8_6.

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Inaba, Hisashi. "The Stable Population Model." In Age-Structured Population Dynamics in Demography and Epidemiology. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-0188-8_1.

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Langton, Richard, James Lindholm, James Wilson, and Sally Sherman. "An Age-Structured Model of Fish Population Enhancement." In Dynamic Modeling for Marine Conservation. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0057-1_17.

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Iannelli, Mimmo, and Fabio Milner. "Numerical Methods for the Linear Model." In The Basic Approach to Age-Structured Population Dynamics. Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-024-1146-1_3.

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Iannelli, Mimmo, and Fabio Milner. "Numerical Methods for the Nonlinear Model." In The Basic Approach to Age-Structured Population Dynamics. Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-024-1146-1_7.

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Fister, K. Renee, Holly Gaff, Suzanne Lenhart, Eric Numfor, Elsa Schaefer, and Jin Wang. "Optimal Control of Vaccination in an Age-Structured Cholera Model." In Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40413-4_14.

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Castillo-Chavez, Carlos, and Wenzhang Huang. "Age-Structured Core Group Model and its Impact on STD Dynamics." In Mathematical Approaches for Emerging and Reemerging Infectious Diseases: Models, Methods, and Theory. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0065-6_15.

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Budhwar, Nisha, Sunita Daniel, and Vivek Kumar. "An SIRS Age-Structured Model for Vector-Borne Diseases with Infective Immigrants." In Springer Proceedings in Mathematics & Statistics. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1157-8_18.

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Dyson, Janet, and Glenn F. Webb. "A Cell Population Model Structured by Cell Age Incorporating Cell–Cell Adhesion." In Mathematical Oncology 2013. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0458-7_4.

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Haimovici, Adolf. "A Mathematical Model of Age-Structured Population Dynamics, with Density Dependent Diffusion." In Biomathematics and Related Computational Problems. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2975-3_27.

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Conference papers on the topic "Age-structured model"

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Miller, Sara, Terrance Quinn, and James Ianelli. "Estimation of Age-Specific Migration in an Age-Structured Model." In Resiliency of Gadid Stocks to Fishing and Climate Change. Alaska Sea Grant College Program, 2008. http://dx.doi.org/10.4027/rgsfcc.2008.09.

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KOHLER, BRYNJA. "AN AGE STRUCTURED MODEL OF T CELL POPULATIONS." In Proceedings of the Conference on Mathematical Biology and Dynamical Systems. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812706799_0005.

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Revutskaya, O. L. "DYNAMIC REGIMES IN AGE-STRUCTURED PREDATOR-PREY POPULATION MODEL." In Современные проблемы регионального развития. ИКАРП ДВО РАН – ФГБОУ ВО «ПГУ им. Шолом-Алейхема», 2018. http://dx.doi.org/10.31433/978-5-904121-22-8-2018-275-278.

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Addawe, Joel M., and Jose Ernie C. Lope. "Sensitivity analysis of the age-structured malaria transmission model." In INTERNATIONAL CONFERENCE ON FUNDAMENTAL AND APPLIED SCIENCES 2012: (ICFAS2012). AIP, 2012. http://dx.doi.org/10.1063/1.4757436.

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Rasheed, Maan A., Sean Laverty, and Brittany Bannish. "Numerical solutions of a linear age-structured population model." In SECOND INTERNATIONAL CONFERENCE OF MATHEMATICS (SICME2019). Author(s), 2019. http://dx.doi.org/10.1063/1.5097799.

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Neverova, G. P., and Е. Ya Frisman. "COMPARISON OF DYNAMICS MODES OF STRUCTURED POPULATION MODEL WITH AGE SPECIFIC HARVESTING." In Современные проблемы регионального развития. ИКАРП ДВО РАН – ФГБОУ ВО «ПГУ им. Шолом-Алейхема», 2018. http://dx.doi.org/10.31433/978-5-904121-22-8-2018-264-267.

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Kulakov, M. P. "2D MODEL FOR SPATIAL-TEMPORAL DYNAMIC OF AGE STRUCTURED POPULATION." In Современные проблемы регионального развития. ИКАРП ДВО РАН – ФГБОУ ВО «ПГУ им. Шолом-Алейхема», 2018. http://dx.doi.org/10.31433/978-5-904121-22-8-2018-253-256.

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Anguelov, R., H. Kojouharov, Michail D. Todorov, and Christo I. Christov. "Continuous Age-Structured Model for Bovine Tuberculosis in African buffalo." In 1ST INTERNATIONAL CONFERENCE ON APPLICATIONS OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES. AIP, 2009. http://dx.doi.org/10.1063/1.3265359.

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Supriatna, A. K., Q. Rachmadani, F. Ilahi, N. Anggriani, and N. Nuraini. "Age structured dynamical model for an endangered lizard Eulamprus leuraensis." In SYMPOSIUM ON BIOMATHEMATICS (SYMOMATH 2013). AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4866542.

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Wang, Huina, Yongzhen Pei, Changguo Li, and Xuemei Yuan. "A SIRS Epidemic Model Incorporating Treatment and Age-Structured of Recovered Period." In 2011 International Conference on Control, Automation and Systems Engineering (CASE). IEEE, 2011. http://dx.doi.org/10.1109/iccase.2011.5997532.

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Reports on the topic "Age-structured model"

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Banks, H. T., V. A. Bokil, and Shuhua Hu. Monotone Approximation for a Nonlinear Size and Class Age Structured Epidemic Model. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada443993.

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