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  1. May 2021
  2. arxiv.org arxiv.org
    Untitled document
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    1. lucyparfitt16 20 May 2021

      Mizutaka, S., Mori, K., & Hasegawa, T. (2021). Synergistic epidemic spreading in correlated networks. ArXiv:2105.08992 [Physics, q-Bio]. http://arxiv.org/abs/2105.08992

      is:pdf lang:en transmission modeling synergy susceptible-infected-susceptible synergistic effect correlated networks epidemic prediction research statistics
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    arxiv.org/pdf/2105.08992.pdf
  3. Sep 2020
  4. arxiv.org arxiv.org
    A Systematic Framework of Modelling Epidemics on Temporal Networks
    1
    1. ErikStuchly 28 Sep 2020

      Humphries, R., Mulchrone, K., Tratalos, J., More, S., & Hövel, P. (2020). A Systematic Framework of Modelling Epidemics on Temporal Networks. ArXiv:2009.11965 [Nlin, Physics:Physics]. http://arxiv.org/abs/2009.11965

      is:preprint lang:en COVID-19 systematic framework epidemiology modeling temporal network pair-based individual-based Susceptible-Infected-Recovered Markovian process accuracy threshold
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    arxiv.org/abs/2009.11965
  5. arxiv.org arxiv.org
    An infection process near criticality: Influence of the initial condition
    1
    1. katietaylor_99 23 Sep 2020

      Krapivsky, P. L. ‘An Infection Process near Criticality: Influence of the Initial Condition’. ArXiv:2009.08940 [Cond-Mat, Physics:Physics, q-Bio], 18 September 2020. http://arxiv.org/abs/2009.08940.

      is:preprint lang:en infection initial condition behavioural science Susceptible-Infected-Recovered outbreaks fluctuations distribution
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    arxiv.org/abs/2009.08940
  6. Aug 2020
  7. www.nber.org www.nber.org
    Data Gaps and the Policy Response to the Novel Coronavirus
    1
    1. katietaylor_99 11 Aug 2020

      Stock, James H. ‘Data Gaps and the Policy Response to the Novel Coronavirus’. Working Paper. Working Paper Series. National Bureau of Economic Research, March 2020. https://doi.org/10.3386/w26902.

      is:report lang:en COVID-19 data gaps policy response policy Susceptible-Infected-Recovered SIR epidemiology contagion model social distancing containment economy asymptomatic rate random sampling health care public health
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    nber.org/papers/w26902
  8. Jun 2020
  9. link.aps.org link.aps.org
    Time dependence of susceptible-infected-susceptible epidemics on networks with nodal self-infections
    1
    1. edampf 08 Jun 2020

      Van Mieghem, P., & Wang, F. (2020). Time dependence of susceptible-infected-susceptible epidemics on networks with nodal self-infections. Physical Review E, 101(5), 052310. https://doi.org/10.1103/PhysRevE.101.052310

      is:article lang:en physics spreading susceptible infected node SIS self-infection graph simulation time-dependent
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    link.aps.org/doi/10.1103/PhysRevE.101.052310
  10. May 2020
  11. link.aps.org link.aps.org
    Small inter-event times govern epidemic spreading on networks
    1
    1. edampf 20 May 2020

      Masuda, N., & Holme, P. (2020). Small inter-event times govern epidemic spreading on networks. Physical Review Research, 2(2), 023163. https://doi.org/10.1103/PhysRevResearch.2.023163

      is:article lang:en epidemic spreading network interaction infection rate transmission dynamics rumor heavy-tailed distribution inter-event susceptible infected recovered modeling
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    link.aps.org/doi/10.1103/PhysRevResearch.2.023163