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 (November 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 (July 10, 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 (April 1, 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 variability, common in marine populations, is destabilizing in the neighborhood of the open-access equilibrium. These two influences, combined in the open-access fishery model, generate robust long-lasting irregular cycles of stock and effort. Volterra proved for the original Lotka–Volterra model that the time averages of the variables over one cycle were exactly equal to their equilibrium steady states. This is shown to extend as a good approximation for the model presented here. Approximating model steady states of effort and catch by the corresponding averages from data time series underlies a new algorithm of parameter evaluation, applied here to an open-access model of the Georges Bank sea scallop (Placopecten magellanicus) fishery.
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Hethcote, Herbert W. "An age-structured model for pertussis transmission." Mathematical Biosciences 145, no. 2 (October 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 (August 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 effects. However, we found that the derived macroscopic model lacks a diffusion term in the density equations, which is necessary to control the number of waves, indicating that a higher order approximation during the derivation is crucial. Upon ad hoc addition of the diffusion term, we found very good agreement between the age-structured model and the biology. In particular, we analyzed the influence of a refractory (insensitivity) period following a reversal of movement. Our analysis reveals that the refractory period is not necessary for wave formation, but essential to wave synchronization, indicating separate molecular mechanisms.
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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 (January 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 (June 28, 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 consuming and require a relatively high level of expertise on the part of data collectors. Alternatively, length frequency distributions within the annual catch are relatively simple and inexpensive to acquire, and can be employed to extrapolate age structure given that some information regarding age length relationships in the population is known. This type of data is therefore critical for many age-structured fisheries models. Length frequency data are compiled from length measurements of a sub-sample of the commercial catch. Even when they derive from a relatively large sample size, however, these data depend on a number of biological, economic and logistical factors. In some fisheries, for example, larger, more valuable fish may be separated from the overall catch and sold quickly, before port samplers have chance to gather sub-samples (Burns et al. 1983). This can reduce the relative frequency of large individuals in length frequency data. Alternatively, fish may become stratified in holding bins or storage containers according to size, due to their slippery texture and body shape (Hilborn and Walters 1992). With smaller, shorter individuals falling to the bottom where they are less likely to be picked up and measured, length frequency data may contain a disproportionately high frequency of large fish. This study used simulations to examine the impact of these two types of bias in length frequency data on a statistical age-structured model. The model, which was similar to those used in stock assessments for black sea bass (Centropristis striata) and gag (Mycteroperca microlepis) in the southeastern United States, produced erroneous population estimates when given biased data. Length frequency data that contained too many small fish caused stock status estimates to became overly pessimistic, indicating that populations were more heavily depleted than was actually the case. This type of bias supported overly conservative management measures, which posed an unnecessary cost to fishermen. Conversely, when the data included too many large fish, estimates of stock status were overly optimistic, and supported management actions that did not effectively protect the stock from overfishing. These results indicate that the quantity of length frequency data alone does not protect against bias when using complex age-structured models. The likelihood and magnitude of bias in these must also be examined in order to determine whether results are likely to be biased. For a given fishery, it is therefore critical that potential sources of bias in length frequency data be thoroughly inspected, and that the modeling approach used to assess the stock be appropriate based on the availability and accuracy of the data.
Master of Science
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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 fishing on total fish biomass or enable us to achieve MSY. Under the consideration that the fishermen fulfill their remaining quotas through capturing untargeted (less revenue-generating) fish after the targeted fish population is fully caught, the fix ratio of the catch of targeted fish to untargeted fish is not valid anymore. Concordantly, we indicated technology-based optimal quota levels, including the interior solutions. In the EU, TACs are distributed among states according to the principle of &lsquo
relative stability&rsquo
which prescribes that the fishing quotas should be allocated based on historical catches of the EU states. In this context, rather than allocating the quotas based on historical catches, our main suggestion is that the structure of the fishing industry should be considered for allocation of quotas to provide the sustainability of EU fisheries and achieve responsible and effective management of the fishing industry in the EU.
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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
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 information. Applications of an age-structured model, which takes both CPUE and catch-at-age data into account, provides similar results to the production model if more weight is given to the CPUE data than the catch-at-age data and similar results to the ad hoc tuned VPA if more weight is given to the catch-at-age data rather than the CPUE data. This led Punt (1993) to conclude that the discrepancies between the various sets of results obtained from surplus production model and ad hoc tuned VPA methods are a consequence of a conflict between the catch-at-age data and the CPUE data and that they are not primarily a result of differences in the two assessment methods. However, the above two approaches are based on certain assumptions regarding recruitment, natural mortality and fishing selectivity. An attempt was made to obtain estimates of fishing selectivity-at-age from an age-structured production model. It is commonly assumed that selectivity-at-age has a slope of zero at older age classes. The estimates obtained all suggest that selectivity-at-age for older age classes (> 2 to 3 years) decreases with age. The results obtained in this study also indicate that the conflict between the observed trends in the catch-at-age data and the CPUE data can be basically resolved by assuming that for older age classes selectivity-at-age decreases.
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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 estimating parameters that thereafter are not required to be determined experimentally. We present derivation of the age-structured model and its theoretical analysis of the existence of the solution. Furthermore, we have obtained the condition for BEG existence using the Perron-Frobenius theorem. A mathematical description of the cell-cycle control is shown for one-compartment and two-compartment populations, where a compartment refers to a cell population consisting of cells that exhibit similar kinetic properties. We have incorporated into our mathematical model the required growing/aging times in each phase of the cell cycle for the biological viability. Moreover, we have derived analytical formulae for vital parameters in cancer research, such as population doubling time, the average cell-cycle age, and the average removal age from all phases, which we argue is the average cell-cycle time of the population. An estimate of the average cell-cycle time is of a particular interest for biologists and clinicians, and for patient survival prognoses as it is considered that short cell-cycle times correlate with poor survival prognoses for patients. Applications of our mathematical model to experimental data have been shown. First, we have derived algebraic expressions to determine the population doubling time from single experimental observation as an alternative to empirically constructed growth curve. This result is applicable to various types of cancer cell lines. One option to extend this model would be to derive the cell cycle time from a single experimental measurement. Second, we have applied our mathematical model to interpret and derive dynamic-depicting parameters of five melanoma cell lines exposed to radiotherapy. The mathematical result suggests there are shortcomings in the experimental methods and provides an insight into the cancer cell population dynamics during post radiotherapy. Finally, a mathematical model depicting a theoretical cancer cell population that comprises two sub-populations with different kinetic properties is presented to describe the transition of a primary culture to a cell line cell population.
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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 carried out to demonstrate and extend our theoretical results. A general maturation function for predators is then assumed, and an age-structured predator-prey model with no age structure for prey is formulated. Conditions for the existence and local stabilities of equilibria are obtained. The global stability of the predator-extinction equilibrium is proved by constructing a Lyapunov functional. Finally, we consider a special case of the maturation function discussed before. More specifically, we assume that the development times of predators follow a shifted Gamma distribution and then transfer the previous model into a system of differential-integral equations. We consider the existence and local stabilities of equilibria. Conditions for existence of Hopf bifurcation are given when the shape parameters of Gamma distributions are $1$ and $2$.
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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 diseases with co-circulating serotypes. We provide detailed analysis of the multi-locus-allele model and its age-specific extension. In particular, we establish the necessary conditions for the local asymptotic stability of the steady states and the existence of oscillatory behaviours. For the age-structured model, results on the existence of a mild solution and stability conditions are presented. Numerical studies of various strain spaces show that the dynamic features are preserved. Specifically, we demonstrate that discrete antigenic forms of pathogens can exhibit three distinct dynamic features, where antigenic variants (i) fully self-organize and co-exist with no strain structure (NSS), (ii) sort themselves into discrete strain structure (DSS) with non-overlapping or minimally overlapping clusters under the principle of competitive exclusion, or (iii) exhibit cyclical strain structure (CSS) where dominant antigenic types are cyclically replaced with sharp epidemics dominated by (1) a single strain dominance with irregular emergence and re-emergence of certain pathogenic forms, (2) ordered alternating appearance of a single antigenic type in periodic or quasi-periodic form similar to periodic travelling waves, (3) erratic appearance and disappearance of synchrony between discrete antigenic types, and (4) phase-synchronization with uncorrelated amplitudes. These analyses allow us to gain insight into the age-specific immunological profile in order to untangle the effects of strain structures as captured by the clustering behaviours, and to provide public health implications. The age-structured model can be used to investigate the effect of age-specific targeting for public health purposes.
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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 noyau qui permet à la nouvelle générationd'adapter son temps de piqure (repas). Ceci est dû à la sélection de certainsmoustiques qui piquent plus tôt ou plus tard que les autres moustiques, suite àla pression imposée par l'usage intensif des pesticides à l'intérieur des habitats et en particulier durant la nuit. Les conditions aux bords par rapport au moment de piqure (repas) seront périodiques car selon les espèces, les moustiques prennent toujours leurs repas au même moment de la journée.Les principaux résultats peuvent être classés dans 4 parties.Dans la première partie on présente un modèle structuré en âge décrivant laplasticité du moustique dans un environnement non contrôlé. On montre quele problème est bien posé via la théorie des semi-groupes. Le comportementasymptotique est décrit grâce à l'étude du spectre de l'opérateur A générateurdu C0 semi-groupe. On prouve également l'existence ou la non existence dessolutions stationnaires (sous certaines hypothèses).Dans la deuxième partie on s'intéresse à un problème de contrôle optimalde la population de moustiques. Le contrôle correspond à la proportion demoustiques éliminée et dépend du temps, de l'âge des moustiques et du tempsoù le moustique pique pour se nourrir. On démontre d’abord l’existence desolutions grâce à un argument de point fixe puis on établit des résultats decomparaisons pour notre problème. On établit ensuite l'existence d'un contrôleoptimal puis on dérive le système d'optimalité.Dans la troisième partie on s'intéresse à la question de contrôlabilité exacte locale pour le problème décrivant la capacité des moustiques à adapter leurdynamique face à l'usage intensif des insecticides. On établit une nouvelleinégalité de type Carleman pour le modèle structuré en âge avec diffusionet une condition au bord de renouvellement non-locale et des conditions auxbords périodiques par rapport au temps de piqure des moustiques.Dans la quatrième partie on s'intéresse au comportement en temps longd'un modèle non linéaire décrivant l'adaptation de la population des moustiques à l'usage intensif des insecticides. Quand le contrôle est petit (usage limité des insecticides) alors la population mature de moustiques devient grandeavec le temps et quand le contrôle est grand (usage intensif des insecticides)la population mature de moustiques devient petite avec le temps. Dans le casintermédiaire on obtient un modèle avec retard en temps pour la populationmature de moustiques qui peut être gouvernée par une sur-équation et unesous-équation. Finalement on montre que la sous-équation admet des ondesvoyageuses et la population mature de moustiques sera donc comprise entreces ondes voyageuses et les sur-solutions
This dissertation is concerned with an age structured problem modelling mosquito plasticity. The main results can be divided into four parts.The first part presents an age structured problem modelling mosquito plasticity in a natural environment. We first investigate the analytical asymptotic solution through studying the spectrum of an operator A which is the infinitesimal generator of a C0-semigroup. Additionally, we get the existence and nonexistence of nonnegative steady solutions under some conditions.In the second part, we study the optimal control of an age structured problem. Firstly, we prove the existence of solutions and the comparison principle for a generalized system. Then, we prove the existence of the optimal control for the best harvesting. Finally, we establish necessary optimality conditions.In the third part, we investigate the local exact controllability of an age structured problem modelling the ability of malaria vectors to shift their biting time to avoid the stressful environmental conditions generated by the use of indoor residual spraying (IRs) and insecticide-treated nets (ITNs). We establish a new Carleman's inequality for our age diffusive model with non local birth processus and periodic biting-time boundary conditions.In the fourth part, we model a mosquito plasticity problem and investigate the large time behavior of matured population under different control strategies. Firstly, we prove that when the control is small, then the matured population will become large for large time and when the control is large, then the matured population will become small for large time. In the intermediate case, we derive a time-delayed model for the matured population which can be governed by a sub-equation and a super-equation. Finally, we prove the existence of traveling fronts for the sub-equation and use it to prove that the matured population will finally be between the positive states of the sub-equation and super-equation
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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.
Includes bibliography.
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 which is structured according to the age of infection. To understand the dynamics of the disease, we first discuss and analyse a simple model in which the age of infection is not considered, but progression of the HIV-AIDS transmission is taken into consideration by introducing three stages of infection. Analysis of these models tells us that the disease can be eradicated from the population only if on average one infected individual infects less than one person in his or her infectious period, otherwise the disease persists. To investigate the reduction of the number of infections caused by a single infectious individual to less than one, we introduce different treatment strategies for a model which depends on the age of infection, and we analyse it numerically. Current strategies amount to introducing treatment only at a late stage of infection when the infected individual has already lived through most of the infectious period. From our numerical results, this strategy does not result in eradication of the disease, even though it does reduce the burden for the individual. To eradicate the disease from the population, everyone would need to be HIV tested regularly and undergo immediate treatment if found positive.
AFRIKAANSE OPSOMMING: Hierdie tesis hou rekening met die verskillende aansteeklikheidsvlakke van die menslike immuniteitsgebreksvirus (MIV) deur besmette individue gedurende hulle aansteeklikheidstydperk. Die graad van aansteeklikheid hang af van die tydperk sedert infeksie. Dit is hoog kort nadat die infeksie plaasvind en daarna heelwat laer vir etlike jare, en dan volg n hoer plato voordat uiteindelik die Verworwe-Immuniteitsgebreksindroom (VIGS) fase intree. In ooreenstemming hiermee, formuleer ons n wiskundige model van MIV-VIGSoordrag met n struktureer waarin die tydperk sedert infeksie bevat is. Om die dinamika van die siekte te verstaan, bespreek en analiseer ons eers n eenvoudige model sonder inagneming van die tydperk sedert infeksie, terwyl die progressie van MIV-VIGS-oordrag egter wel in ag geneem word deur die beskouing van drie stadiums van infeksie. Analise van die modelle wys dat die siekte in die bevolking slegs uitgeroei kan word as elke besmette mens gemiddeld minder as een ander individu aansteek gedurende die tydperk waarin hy of sy self besmet is, anders sal die siekte voortduur. Vir die ondersoek oor hoe om die aantal infeksies per besmette individu tot onder die waarde van een te verlaag, beskou ons verskeie behandelingsstrategiee binne die model, wat afhang van die tydperk sedert infeksie, en ondersoek hulle numeries. Die huidige behandelingstrategiee kom neer op behandeling slegs gedurende die laat sta- dium van infeksie, wanneer die besmette individu reeds die grootste deel van die aansteeklikheidsperiode deurleef het. Ons numeriese resultate toon dat hierdie strategie nie lei tot uitroeiing van die siekte nie, alhoewel dit wel die las van die siekte vir die individu verminder. Om die siekte binne die bevolking uit te roei, sou elkeen gereeld vir MIV getoets moes word en indien positief gevind, dadelik met behandeling moes begin.
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Books on the topic "Age-structured model"

1

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

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

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

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Anita̧, Sebastian. Analysis and control of age-dependent population dynamics. Dordrecht: 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. Makkah: 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. Bangalore: 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. Providence, R.I: 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. Providence, R.I: 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"

1

Inaba, Hisashi. "Age-Structured SIR Epidemic Model." In Age-Structured Population Dynamics in Demography and Epidemiology, 287–331. Singapore: 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, 1–74. Singapore: 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, 376–94. New York, NY: 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, 89–122. Dordrecht: 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, 201–17. Dordrecht: 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, 221–48. Cham: 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, 261–73. New York, NY: 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, 207–19. Singapore: 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, 109–49. New York, NY: 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, 295–310. Dordrecht: 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. Fort Belvoir, VA: Defense Technical Information Center, February 2006. http://dx.doi.org/10.21236/ada443993.

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