8 Matching Annotations
  1. Aug 2022
  2. www.nature.com www.nature.com
    Impact of circulating SARS-CoV-2 variants on mRNA vaccine-induced immunity
    1
    1. jackiekrauss 29 Aug 2022

      Lucas, C., Vogels, C. B. F., Yildirim, I., Rothman, J. E., Lu, P., Monteiro, V., Gelhausen, J. R., Campbell, M., Silva, J., Tabachikova, A., Peña-Hernandez, M. A., Muenker, M. C., Breban, M. I., Fauver, J. R., Mohanty, S., Huang, J., Shaw, A. C., Ko, A. I., Omer, S. B., … Iwasaki, A. (2021). Impact of circulating SARS-CoV-2 variants on mRNA vaccine-induced immunity. Nature, 1–9. https://doi.org/10.1038/s41586-021-04085-y

      is:article lang:en COVID-19 variant vaccine mRNA vaccine immunity antibody response recovered naive neutralization capacity vaccine booster future strategy
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    nature.com/articles/s41586-021-04085-y
  3. www.huffpost.com www.huffpost.com
    New Study Finds A Huge Perk Of Getting Vaccinated After Having COVID-19
    1
    1. jackiekrauss 29 Aug 2022

      Pearson, C. (2021, September 27). New Study Finds A Huge Perk Of Getting Vaccinated After Having COVID-19. HuffPost UK. https://www.huffpost.com/entry/study-covid-vaccine_l_6151dbbde4b098483a792e18

      is:news lang:en COVID-19 vaccine recovered severe illness Delta variant hospitalization protection high transmission setting
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    huffpost.com/entry/study-covid-vaccine_l_6151dbbde4b098483a792e18
  4. Mar 2021
  5. journals.plos.org journals.plos.org
    Fast and principled simulations of the SIR model on temporal networks
    1
    1. emilybiggs 15 Mar 2021

      Holme, P. (2021). Fast and principled simulations of the SIR model on temporal networks. PLOS ONE, 16(2), e0246961. https://doi.org/10.1371/journal.pone.0246961

      is:article lang:en susceptible-infectious-recovered model epidemic infection infectious disease simulation COVID-19
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    journals.plos.org/plosone/article
  6. Sep 2020
  7. 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
  8. 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
  9. Aug 2020
  10. 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
  11. Jul 2020
  12. arxiv.org arxiv.org
    Fast and principled simulations of the SIR model on temporal networks
    1
    1. Danaeioak 31 Jul 2020

      Holme, P. (2020). Fast and principled simulations of the SIR model on temporal networks. ArXiv:2007.14386 [Physics, q-Bio]. http://arxiv.org/abs/2007.14386

      is:article lang:en epidemiology computational epidemiology Susceptible-Infectious-Recovered (SIR) model temporal networks simulation
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    arxiv.org/abs/2007.14386
  13. May 2020
  14. 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