9 Matching Annotations
  1. Aug 2021
  2. psyarxiv.com psyarxiv.com
    Improving our Risk Communication: Standardized Risk Levels for BARR-2002R
    1
    1. jasminehollingworth 21 Aug 2021

      Blais, J., Babchishin, K. M., & Hanson, R. K. (2021). Improving our Risk Communication: Standardized Risk Levels for BARR-2002R. PsyArXiv. https://doi.org/10.31234/osf.io/2xr3m

      lang:en is:preprint improve risk communication risk communication level BARR-2002R risk level general recidivism individual with a history of sexual offending standardized risk factor
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    psyarxiv.com/2xr3m/
  3. www.theguardian.com www.theguardian.com
    We shouldn’t be giving Covid boosters while millions wait for a first dose | Andrew Pollard and Seth Berkley
    1
    1. lucyparfitt16 17 Aug 2021

      We shouldn’t be giving Covid boosters while millions wait for a first dose | Andrew Pollard and Seth Berkley | The Guardian. (n.d.). Retrieved August 17, 2021, from https://www.theguardian.com/commentisfree/2021/aug/13/covid-boosters-dose-vaccine

      is:webpage lang:en COVID-19 vaccine booster risk mortality government booster dose science antibody level epidemiology immunity protection variant data analysis help aid
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    theguardian.com/commentisfree/2021/aug/13/covid-boosters-dose-vaccine
  4. May 2021
  5. interpersonal.stackexchange.com interpersonal.stackexchange.com
    How to let tech support subtly know that I am proficient without showing off?
    1
    1. TylerRick 31 May 2021
      From experience I can say that professionals will be more forgiving if you go through things at a basic level than amateurs who have no idea what you're talking about, so people will probably err on the side of caution and not assume the customer has a high level of expertise.
      erring on the side of _ erring on side of low-risk communication: between persons with different level of technical proficiency
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    interpersonal.stackexchange.com/questions/10239/how-to-let-tech-support-subtly-know-that-i-am-proficient-without-showing-off
  6. psyarxiv.com psyarxiv.com
    Depression, anxiety and PTSD symptoms before and during the COVID-19 pandemic in the UK
    1
    1. lucyparfitt16 18 May 2021

      Young, K. S., Purves, K. L., Huebel, C., Davies, M., Thompson, K. N., Bristow, S., Krebs, G., Danese, A., Hirsch, C., Parsons, C. E., Vassos, E., Adey, B., Bright, S., Hegemann, L., Lee, Y. T., Kalsi, G., Monssen, D., Mundy, J., Peel, A., … Breen, G. (2021). Depression, anxiety and PTSD symptoms before and during the COVID-19 pandemic in the UK [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/sf7b6

      is:preprint lang:en COVID-19 population-level stressor mental health UK social media depression anxiety symptom change PTSD sociodemographic risk factors prospective retrospective recall bias
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    psyarxiv.com/sf7b6/
  7. Mar 2021
  8. www.tandfonline.com www.tandfonline.com
    Testing mobile air purifiers in a school classroom: Reducing the airborne transmission risk for SARS-CoV-2
    1
    1. jackiekrauss 29 Mar 2021

      Curtius, J., Granzin, M., & Schrod, J. (2021). Testing mobile air purifiers in a school classroom: Reducing the airborne transmission risk for SARS-CoV-2. Aerosol Science and Technology, 55(5), 586–599. https://doi.org/10.1080/02786826.2021.1877257

      is:article lang:en COVID-19 air purifier school transmission airborne aerosol particle concentration level HEPA filter infection risk
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    tandfonline.com/doi/full/10.1080/02786826.2021.1877257
  9. Aug 2020
  10. covid-19.iza.org covid-19.iza.org
    COVID-19 and the Labor Market
    1
    1. ErikStuchly 28 Aug 2020

      Inequality in the Impact of the Coronavirus Shock: Evidence from Real Time Surveys. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 7, 2020, from https://covid-19.iza.org/publications/dp13183/

      is:article lang:en COVID-19 inequality disproportionate impact real time survey UK USA Germany labor market economic impact occupational risk working hours job loss education level gender difference
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    covid-19.iza.org/publications/dp13183/
  11. www.cdc.gov www.cdc.gov
    Estimated County-Level Prevalence of Selected Underlying Medical Conditions Associated with Increased Risk for Severe COVID-19 Illness — United States, 2018
    1
    1. ErikStuchly 09 Aug 2020

      Razzaghi, H. (2020). Estimated County-Level Prevalence of Selected Underlying Medical Conditions Associated with Increased Risk for Severe COVID-19 Illness—United States, 2018. MMWR. Morbidity and Mortality Weekly Report, 69. https://doi.org/10.15585/mmwr.mm6929a1

      is:article lang:en COVID-19 estimation country level prevalence underlying health condition risk severity USA comorbidity public health epidemiology
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    cdc.gov/mmwr/volumes/69/wr/mm6929a1.htm
  12. Jul 2020
  13. www.nber.org www.nber.org
    Older People are Less Pessimistic about the Health Risks of Covid-19
    1
    1. ErikStuchly 28 Jul 2020

      Bordalo, P., Coffman, K. B., Gennaioli, N., & Shleifer, A. (2020). Older People are Less Pessimistic about the Health Risks of Covid-19 (Working Paper No. 27494; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27494

      is:article lang:en COVID-19 health risk older adults pessimism individual level collective level risk perception economic risk survey USA preliminary findings
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    nber.org/papers/w27494
  14. www.medrxiv.org www.medrxiv.org
    Association between consumption of vegetables and COVID-19 mortality at a country level in Europe
    1
    1. ErikStuchly 20 Jul 2020

      Fonseca, S. C., Rivas, I., Romaguera, D., Quijal-Zamorano, M., Czarlewski, W., Vidal, A., Fonseca, J. A., Ballester, J., Anto, J. M., Basagana, X., Cunha, L. M., & Bousquet, J. (2020). Association between consumption of vegetables and COVID-19 mortality at a country level in Europe. MedRxiv, 2020.07.17.20155846. https://doi.org/10.1101/2020.07.17.20155846

      is:preprint lang:en COVID-19 vegetable consumption mortality association Europe country level antioxidant activity food nutrition mitigation big data risk factor ecological association modeling
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    medrxiv.org/cgi/content/10.1101/2020.07.17.20155846