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Review
. 2020 Sep;32(5):e23512.
doi: 10.1002/ajhb.23512.

Transmission-dynamics models for the SARS Coronavirus-2

James Holland Jones  1 , Ashley Hazel  1 , Zack Almquist  2
Affiliations
Review

Transmission-dynamics models for the SARS Coronavirus-2

James Holland Jones et al. Am J Hum Biol. 2020 Sep.
No abstract available

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Figures

FIGURE 1
FIGURE 1
Susceptible‐exposed‐infected‐removed model state diagram
FIGURE 2
FIGURE 2
Final size calculations for a range of R0 values consistent with COVID‐19
FIGURE 3
FIGURE 3
Epidemic curves for simple structured and unstructured SIR models
FIGURE 4
FIGURE 4
Elasticity of R0 with respect to element gpp of the next‐generation matrix
FIGURE 5
FIGURE 5
Heterogeneous network of 100 nodes and sampled network from a random sample of 20 nodes
FIGURE 6
FIGURE 6
Degree‐weighted sample of 20 nodes, showing that sparseness of the sampled network is not inevitable but arises from the bias introduced by sampling edges from a sample of nodes
FIGURE 7
FIGURE 7
Social distancing pushes the network to forefront of COVID‐19 modeling. We start with no social distancing, figure A; focusing on a network with mean degree of 5. Contrast this with an empty network (perfect social distancing) in B. Now, let's consider some loosening of social distancing with essential works at 10% of the population, C. Last, we what if we allow household mixing of just one household member (at random) we get figure D
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References

    1. Altizer, S. , Dobson, A. , Hosseini, P. , Hudson, P. , Pascual, M. , & Rohani, P. (2006). Seasonality and the dynamics of infectious diseases. Ecology Letters, 9(4), 467–484. - PubMed
    1. Anderson, R. , Medley, G. , May, R. M. , & Johnson, A. (1986). A preliminary study of the transmission dynamics of the Human Immunodeficiency Virus (HIV), the causative agent of AIDS. IMA Journal of Mathematics Applied in Medicine and Biology, 3, 229–263. - PubMed
    1. Anderson, R. M. , & May, R. M. (1991). Infectious diseases of humans: Dynamics and control. Oxford: Oxford University Press.
    1. Armelagos, G. J. , & Dewey, J. R. (1970). Evolutionary response to human infectious diseases. Bioscience, 20(5), 271–275.
    1. Arthur, R. F. , Gurley, E. S. , Salje, H. , Bloomfield, L. S. P. , & Jones, J. H. (2017). Contact structure, mobility, environmental impact and behaviour: the importance of social forces to infectious disease dynamics and disease ecology. Philosophical Transactions of the Royal Society B: Biological Sciences, 372(1719), 20160454. - PMC - PubMed

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