6 Matching Annotations
  1. Sep 2020
  2. www.ajpmonline.org www.ajpmonline.org
    Perceived Discrimination and Mental Distress Amid the COVID-19 Pandemic: Evidence From the Understanding America Study
    1
    1. ErikStuchly 02 Sep 2020

      Liu, Y., Finch, B. K., Brenneke, S. G., Thomas, K., & Le, P. D. (2020). Perceived Discrimination and Mental Distress Amid the COVID-19 Pandemic: Evidence From the Understanding America Study. American Journal of Preventive Medicine, 0(0). https://doi.org/10.1016/j.amepre.2020.06.007

      is:article lang:en COVID-19 distress mental health perception discrimination USA risk factor online survey logistic regression analysis ethnicity face mask compliance longitudinal change
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    ajpmonline.org/article/S0749-3797(20)30273-7/fulltext
  3. www.medrxiv.org www.medrxiv.org
    Hydroxychloroquine in the treatment of outpatients with mildly symptomatic COVID-19: A multi-center observational study
    1
    1. ErikStuchly 02 Sep 2020

      Ip, A., Ahn, J., Zhou, Y., Goy, A. H., Hansen, E., Pecora, A. L., Sinclaire, B. A., Bednarz, U., Marafelias, M., Mathura, S., Sawczuk, I. S., Underwood, J. P., Walker, D. M., Prasad, R., Sweeney, R. L., Ponce, M. G., LaCapra, S., Cunningham, F. J., Calise, A. G., … Goldberg, S. L. (2020). Hydroxychloroquine in the treatment of outpatients with mildly symptomatic COVID-19: A multi-center observational study. MedRxiv, 2020.08.20.20178772. https://doi.org/10.1101/2020.08.20.20178772

      is:preprint lang:en COVID-19 hydroxychloroquine outpatient treatment mild symptom observational study multi-center logistic regression analysis subsequent hospitalization positive effect
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    medrxiv.org/cgi/content/10.1101/2020.08.20.20178772
  4. Aug 2020
  5. medrxiv.org medrxiv.org
    http://medrxiv.org/cgi/content/short/2020.08.09.20171132
    1
    1. ErikStuchly 22 Aug 2020

      Sun, K., Wang, W., Gao, L., Wang, Y., Luo, K., Ren, L., Zhan, Z., Chen, X., Zhao, S., Huang, Y., Sun, Q., Liu, Z., Litvinova, M., Vespignani, A., Ajelli, M., Viboud, C., & Yu, H. (2020). Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2. MedRxiv, 2020.08.09.20171132. https://doi.org/10.1101/2020.08.09.20171132

      is:preprint lang:en COVID-19 transmission heterogeneity kinetics controllability dynamics risk contact tracing logistic regression analysis self-isolation quarantine efficacy infectiousness physical distancing
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    medrxiv.org/cgi/content/short/2020.08.09.20171132
  6. www.jahonline.org www.jahonline.org
    Association Between Youth Smoking, Electronic Cigarette Use, and Coronavirus Disease 2019
    1
    1. ErikStuchly 22 Aug 2020

      Gaiha, S. M., Cheng, J., & Halpern-Felsher, B. (2020). Association Between Youth Smoking, Electronic Cigarette Use, and Coronavirus Disease 2019. Journal of Adolescent Health, 0(0). https://doi.org/10.1016/j.jadohealth.2020.07.002

      is:article lang:en COVID-19 young adults smoking electronic cigarette positive link risk factor logistic regression analysis case number symptom testing
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    jahonline.org/article/S1054-139X(20)30399-2/fulltext
  7. Jul 2020
  8. psyarxiv.com psyarxiv.com
    High Work-related Stress and Anxiety Response to COVID-19 among Healthcare Workers in South Korea: SAVE study
    1
    1. ErikStuchly 20 Jul 2020

      Ahn, M. H., Shin, Y. W., Kim, J. H., Kim, H. J., Lee, K.-U., & Chung, S. (2020). High Work-related Stress and Anxiety Response to COVID-19 among Healthcare Workers in South Korea: SAVE study [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/9nxth

      is:preprint lang:en COVID-19 stress anxiety healthcare worker South Korea mental health risk factor psychological distress psychological intervention online survey cross-sectional depression logistic regression analysis support
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    psyarxiv.com/9nxth/
  9. May 2020
  10. www.preprints.org www.preprints.org
    COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification
    1
    1. edampf 29 May 2020

      Samuel, J.; Ali, G.G.M.N.; Rahman, M.M.; Esawi, E.; Samuel, Y. COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification. Preprints 2020, 2020050015 (doi: 10.20944/preprints202005.0015.v1)

      is:preprint lang:en COVID-19 public sentiment machine learning tweet Twitter sentiment analysis text analysis misinformation crisis R package fear USA Naive Bayes method logistic regression
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    preprints.org/manuscript/202005.0015/v1