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Relevant bibliographies by topics / Immuno-Epidemiological

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Journal articles

Academic literature on the topic 'Immuno-Epidemiological'

Author: Grafiati

Published: 1 February 2023

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Journal articles on the topic "Immuno-Epidemiological"

1

Bhattacharya, Souvik, and Maia Martcheva. "An immuno-eco-epidemiological model of competition." Journal of Biological Dynamics 10, no. 1 (2016): 314–41. http://dx.doi.org/10.1080/17513758.2016.1186291.

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2

Banerjee, Malay, Alexey Tokarev, and Vitaly Volpert. "Immuno-epidemiological model of two-stage epidemic growth." Mathematical Modelling of Natural Phenomena 15 (2020): 27. http://dx.doi.org/10.1051/mmnp/2020012.

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Epidemiological data on seasonal influenza show that the growth rate of the number of infected individuals can increase passing from one exponential growth rate to another one with a larger exponent. Such behavior is not described by conventional epidemiological models. In this work an immuno-epidemiological model is proposed in order to describe this two-stage growth. It takes into account that the growth in the number of infected individuals increases the initial viral load and provides a passage from the first stage of epidemic where only people with weak immune response are infected to the

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3

Gupta, Churni, Necibe Tuncer, and Maia Martcheva. "A network immuno-epidemiological model of HIV and opioid epidemics." Mathematical Biosciences and Engineering 20, no. 2 (2022): 4040–68. http://dx.doi.org/10.3934/mbe.2023189.

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<abstract><p>In this paper, we introduce a novel multi-scale network model of two epidemics: HIV infection and opioid addiction. The HIV infection dynamics is modeled on a complex network. We determine the basic reproduction number of HIV infection, $ \mathcal{R}_{v} $, and the basic reproduction number of opioid addiction, $ \mathcal{R}_{u} $. We show that the model has a unique disease-free equilibrium which is locally asymptotically stable when both $ \mathcal{R}_{u} $ and $ \mathcal{R}_{v} $ are less than one. If $ \mathcal{R}_{u} &gt; 1 $ or $ \mathcal{R}_{v} &gt; 1 $,

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4

Gupta, Churni, Necibe Tuncer, and Maia Martcheva. "Immuno-epidemiological co-affection model of HIV infection and opioid addiction." Mathematical Biosciences and Engineering 19, no. 4 (2022): 3636–72. http://dx.doi.org/10.3934/mbe.2022168.

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<abstract><p>In this paper, we present a multi-scale co-affection model of HIV infection and opioid addiction. The population scale epidemiological model is linked to the within-host model which describes the HIV and opioid dynamics in a co-affected individual. CD4 cells and viral load data obtained from morphine addicted SIV-infected monkeys are used to validate the within-host model. AIDS diagnoses, HIV death and opioid mortality data are used to fit the between-host model. When the rates of viral clearance and morphine uptake are fixed, the within-host model is structurally iden

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5

GULBUDAK, HAYRIYE. "AN IMMUNO-EPIDEMIOLOGICAL VECTOR–HOST MODEL WITH WITHIN-VECTOR VIRAL KINETICS." Journal of Biological Systems 28, no. 02 (2020): 233–75. http://dx.doi.org/10.1142/s0218339020400021.

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A current challenge for disease modeling and public health is understanding pathogen dynamics across scales since their ecology and evolution ultimately operate on several coupled scales. This is particularly true for vector-borne diseases, where within-vector, within-host, and between vector–host populations all play crucial roles in diversity and distribution of the pathogen. Despite recent modeling efforts to determine the effect of within-host virus-immune response dynamics on between-host transmission, the role of within-vector viral dynamics on disease spread is overlooked. Here, we form

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6

Barfield, Michael, Maia Martcheva, Necibe Tuncer, and Robert D. Holt. "Backward bifurcation and oscillations in a nested immuno-eco-epidemiological model." Journal of Biological Dynamics 12, no. 1 (2017): 51–88. http://dx.doi.org/10.1080/17513758.2017.1401676.

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7

Welker, Jonathan Shane, and Maia Martcheva. "A novel multi-scale immuno-epidemiological model of visceral leishmaniasis in dogs." BIOMATH 8, no. 1 (2019): 1901026. http://dx.doi.org/10.11145/j.biomath.2019.01.026.

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Leishmaniasis is a neglected and emerging disease prevalent in Mediterranean and tropical climates. As such, the study and development of new models are of increasing importance. We introduce a new immuno-epidemiological model of visceral leishmaniasis in dogs. The within-host system is based on previously collected and published data, showing the movement and proliferation of the parasite in the skin and the bone-marrow, as well as the IgG response. The between-host system structures the infected individuals in time-since-infection and is of vector-host type. The within-host system has a para

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8

Abo-Sheishaa, Gamal A., Morsy R. M. Geneedy, and Anwar H. Abu-Hashim. "House Dust Mites in Eastern Part of the Delta Immuno - Epidemiological Study." Al-Azhar Medical Journal 42, no. 4 (2013): 725–34. http://dx.doi.org/10.12816/0015736.

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9

Gulbudak, Hayriye, Vincent L. Cannataro, Necibe Tuncer, and Maia Martcheva. "Vector-Borne Pathogen and Host Evolution in a Structured Immuno-Epidemiological System." Bulletin of Mathematical Biology 79, no. 2 (2016): 325–55. http://dx.doi.org/10.1007/s11538-016-0239-0.

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10

Dang, Yan-Xia, Xue-Zhi Li, and Maia Martcheva. "Competitive exclusion in a multi-strain immuno-epidemiological influenza model with environmental transmission." Journal of Biological Dynamics 10, no. 1 (2016): 416–56. http://dx.doi.org/10.1080/17513758.2016.1217355.

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