File:Large-Variations-in-HIV-1-Viral-Load-Explained-by-Shifting-Mosaic-Metapopulation-Dynamics-pbio.1002567.s001.ogv
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Large-Variations-in-HIV-1-Viral-Load-Explained-by-Shifting-Mosaic-Metapopulation-Dynamics-pbio.1002567.s001.ogv (Ogg Theora video file, length 40 s, 360 × 358 pixels, 454 kbps, file size: 2.16 MB)
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[edit]DescriptionLarge-Variations-in-HIV-1-Viral-Load-Explained-by-Shifting-Mosaic-Metapopulation-Dynamics-pbio.1002567.s001.ogv |
English: An example of the dynamics of the metapopulation at shifting mosaic steady state for 100 of the 10,000 patches simulated. The simulated metapopulation was initialised with 108 infected cells randomly distributed among the patches, and the animation spans 60 days (day 40 to day 100 of the simulation). The coloured discs inside each circle represent the Log10 number of infected cells in each of the patches, with the colour getting darker and the radius getting larger as the Log10 number of infected cells increases. The maximum number of infected cells in any of the patches is approximately 103. Any patches with fewer than 10 infected cells are kept white, because otherwise the constant “flicking” of the cells between white and pale yellow is very distracting. We assume all patches are well connected due to migration via the blood, so patches that are in close proximity in the animation are equally connected as those that are a distance apart. The patches experiencing the biggest bursts of infection are characterised by the largest values of β in [0.5 β¯, 1.5 β¯] = [5,15], and no patches reach a steady state. Although there are oscillations in the total number of infected cells, which are apparent when watching the animation, these are relatively minor at the scale of the whole metapopulation (see S1 Fig). We have assumed a high effective migration rate (Me = 2.4 per day), no reservoir, β¯ = 10 per day, and k = 13 per day. All other parameters are as in Table 1. |
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Source | S1 Animation from Lythgoe K, Blanquart F, Pellis L, Fraser C (2016). "Large Variations in HIV-1 Viral Load Explained by Shifting-Mosaic Metapopulation Dynamics". PLOS Biology. DOI:10.1371/journal.pbio.1002567. PMID 27706164. PMC: 5051940. | ||
Author | Lythgoe K, Blanquart F, Pellis L, Fraser C | ||
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![]() ![]() This file is licensed under the Creative Commons Attribution 4.0 International license.
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 06:12, 29 October 2016 | 40 s, 360 × 358 (2.16 MB) | Open Access Media Importer Bot (talk | contribs) | Automatically uploaded media file from Open Access source. Please report problems or suggestions here. |
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Short title | An example of the dynamics of the metapopulation at shifting mosaic steady state for 100 of the 10,000 patches simulated. |
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Author | Lythgoe K, Blanquart F, Pellis L, Fraser C |
Usage terms | http://creativecommons.org/licenses/by/4.0/ |
Image title | The simulated metapopulation was initialised with 108 infected cells randomly distributed among the patches, and the animation spans 60 days (day 40 to day 100 of the simulation). The coloured discs inside each circle represent the Log10 number of infected cells in each of the patches, with the colour getting darker and the radius getting larger as the Log10 number of infected cells increases. The maximum number of infected cells in any of the patches is approximately 103. Any patches with fewer than 10 infected cells are kept white, because otherwise the constant “flicking” of the cells between white and pale yellow is very distracting. We assume all patches are well connected due to migration via the blood, so patches that are in close proximity in the animation are equally connected as those that are a distance apart. The patches experiencing the biggest bursts of infection are characterised by the largest values of β in [0.5 β¯, 1.5 β¯] |
Software used | Xiph.Org libtheora 1.1 20090822 (Thusnelda) |
Date and time of digitizing | 2016-10-05 |
Categories:
- Videos of cell biology
- Videos of cell types
- Animal cells
- Videos of leukocytes
- Videos of T cells
- Viral load
- Videos of population biology
- Population dynamics
- Metapopulation dynamics
- Viral replication
- Videos of infectious diseases and disorders
- Videos of diseases and disorders due to viruses
- Cell processes
- Cell death