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  1. May 2021
  2. twitter.com twitter.com
    John Burn-Murdoch on Twitter
    1
    1. NatasjaDerbyMcCabe 21 May 2021

      John Burn-Murdoch. (2021, May 7). NEW: time for a proper thread on B.1.617.2, the subtype of the Indian variant that has been moved to ‘variant of concern’ today by Public Health England. First, it’s clear case numbers from this lineage are growing faster than other imported variants have done in the UK. https://t.co/hUUzBvCsY1 [Tweet]. @jburnmurdoch. https://twitter.com/jburnmurdoch/status/1390666071724765185

      is:tweet lang:en COVID-19 B16172 subtype indian variant spread uk growth rates social mixing second-generation cases returning travellers inflated numbers E484Q mutation
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    twitter.com/jburnmurdoch/status/1390666071724765185
  3. Aug 2020
  4. journals.plos.org journals.plos.org
    Data-driven contact structures: From homogeneous mixing to multilayer networks
    1
    1. ErikStuchly 03 Aug 2020

      Aleta, A., Arruda, G. F. de, & Moreno, Y. (2020). Data-driven contact structures: From homogeneous mixing to multilayer networks. PLOS Computational Biology, 16(7), e1008035. https://doi.org/10.1371/journal.pcbi.1008035

      is:article lang:en communicable disease modeling data analysis network science heterogeneity representation framework connectivity scenario analysis social mixing simulation threshold
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    journals.plos.org/ploscompbiol/article
  5. Apr 2020
  6. www.medrxiv.org www.medrxiv.org
    Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project
    1
    1. edampf 23 Apr 2020

      Klepac, P., Kucharski, A. J., Conlan, A. J., Kissler, S., Tang, M., Fry, H., & Gog, J. R. (2020). Contacts in context: Large-scale setting-specific social mixing matrices from the BBC Pandemic project [Preprint]. Epidemiology. https://doi.org/10.1101/2020.02.16.20023754

      lang:en is:article social mixing contact transmission infection infectious disease survey education school closure social distancing working from home data BBC Pandemic science public health intervention UK
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    medrxiv.org/content/10.1101/2020.02.16.20023754v2