8 Matching Annotations
  1. Mar 2021
  2. twitter.com twitter.com
    ReconfigBehSci on Twitter
    1
    1. NatasjaDerbyMcCabe 19 Mar 2021

      ReconfigBehSci. (2021, March 18). EMA rules AZ ‘safe and effective’ and benefits outweigh risks... [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1372584269529419776

      is:tweet lang:en COVID-19 EMA AstraZeneca blood clots age distribution gender distribution manufacturing plant treatment vaccine
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    twitter.com/SciBeh/status/1372584269529419776
  3. twitter.com twitter.com
    ReconfigBehSci on Twitter
    1
    1. NatasjaDerbyMcCabe 02 Mar 2021

      ReconfigBehSci on Twitter: ‘RT @AdamJKucharski: Summary of NERVTAG view on new SARS-CoV-2 variant, from 18 Dec (full document here: Https://t.co/yll9beVI9A) https://t.…’ / Twitter. (n.d.). Retrieved 2 March 2021, from https://twitter.com/SciBeh/status/1341034652082036739

      is:tweet lang:en COVID-19 variant genomic data growth rate transmissibility cases distribution mutations antigen gylcoprotein UK London South East East reinfection readmission case fatality age distribution neutralize post-immunization lateral flow
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    twitter.com/SciBeh/status/1341034652082036739
  4. Oct 2020
  5. www.thelancet.com www.thelancet.com
    The need for detailed COVID-19 data in Spain
    1
    1. ErikStuchly 12 Oct 2020

      Trias-Llimós, S., Alustiza, A., Prats, C., Tobias, A., & Riffe, T. (2020). The need for detailed COVID-19 data in Spain. The Lancet Public Health, 0(0). https://doi.org/10.1016/S2468-2667(20)30234-6

      is:article lang:en COVID-19 Spain epidemiology official data detail age distribution hospitalization case number mortality daily count open data transparency
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    thelancet.com/journals/lanpub/article/PIIS2468-2667(20)30234-6/fulltext
  6. twitter.com twitter.com
    The Root on Twitter
    1
    1. ErikStuchly 12 Oct 2020

      Dr Duncan Robertson on Twitter. (n.d.). Twitter. Retrieved October 12, 2020, from https://twitter.com/Dr_D_Robertson/status/1314544108547997703

      is:tweet lang:en COVID-19 heatmap visualization big data graph epidemiology UK case number longitudinal change age distribution
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    twitter.com/leahakeating/status/1418150117106978816
  7. Sep 2020
  8. www.euromomo.eu www.euromomo.eu
    Graphs and maps from EUROMOMO
    1
    1. ErikStuchly 18 Sep 2020

      Graphs and maps from EUROMOMO. (n.d.). EUROMOMO. Retrieved September 18, 2020, from https://euromomo.eu/dev-404-page/

      is:webpage lang:en COVID-19 graph map visualization mortality case number age distribution longitudinal change z-score international comparison big data
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    euromomo.eu/graphs-and-maps
  9. twitter.com twitter.com
    Krista Fischer on Twitter
    1
    1. ErikStuchly 15 Sep 2020

      Krista Fischer on Twitter. (n.d.). Twitter. Retrieved September 15, 2020, from https://twitter.com/kristafischer16/status/1305145951955423233

      is:tweet lang:en COVID-19 Estonia official data graph visualization case number age distribution gender
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    twitter.com/kristafischer16/status/1305145951955423233
  10. Jul 2020
  11. osf.io osf.io
    Imported cases, community action, policy and institutional systems drive Hong Kong’s COVID-19 experience
    1
    1. ErikStuchly 23 Jul 2020

      Cruz, C. J. P., Ganly, R., Li, Z., & Gietel-Basten, S. (2020). Imported cases, community action, policy and institutional systems drive Hong Kong’s COVID-19 experience [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/5zuv7

      is:preprint lang:en COVID-19 Hong Kong transmission importation community action policy institutional system age structure confirmed cases density hotspot age distribution
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    osf.io/preprints/socarxiv/5zuv7/
  12. osf.io osf.io
    EJEPH-06081-2020-R3.pdf
    1
    1. ErikStuchly 15 Jul 2020

      Cohen, P. N. (2020). The COVID-19 epidemic in rural U.S. counties. https://doi.org/10.31235/osf.io/pnqrd

      is:preprint lang:en COVID-19 USA rural county transmission case number epidemiology death rate distribution trend density outbreak prison meat plant nursing home ethnicity health infrastructure vulnerability age socioeconomic status health condition
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    osf.io/preprints/socarxiv/pnqrd/