4 Matching Annotations
  1. Mar 2021
  2. arxiv.org arxiv.org
    COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing
    1
    1. n.parfitt 15 Mar 2021

      Gupta, Prateek, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, et al. ‘COVI-AgentSim: An Agent-Based Model for Evaluating Methods of Digital Contact Tracing’. ArXiv:2010.16004 [Cs], 29 October 2020. http://arxiv.org/abs/2010.16004.

      is:article lang:en COVID-19 agent modelling method digital tracking contact tool virology disease progression network research data analysis cost-benefit socioeconomic mortality loosening restrictions economy symptom
    Visit annotations in context

    Tags

    Annotators

    URL

    arxiv.org/abs/2010.16004
  3. Aug 2020
  4. www.nature.com www.nature.com
    Real-time tracking of self-reported symptoms to predict potential COVID-19
    1
    1. ErikStuchly 28 Aug 2020

      Menni, C., Valdes, A. M., Freidin, M. B., Sudre, C. H., Nguyen, L. H., Drew, D. A., ... & Visconti, A. (2020). Real-time tracking of self-reported symptoms to predict potential COVID-19. Nature Medicine, 1-4.

      is:article is:pdf lang:en COVID-19 tracking symptom prediction modeling app data
    Visit annotations in context

    Tags

    Annotators

    URL

    nature.com/articles/s41591-020-0916-2
  5. psyarxiv.com psyarxiv.com
    Digital phenotyping of complex psychological responses to the COVID-19 pandemic
    1
    1. Gaurav_Saxena 14 Aug 2020

      Hull, T., Levine, J., Bantilan, N., Desai, A., & Majumder, M. S. (2020, August 13). Digital phenotyping of complex psychological responses to the COVID-19 pandemic. https://doi.org/10.31234/osf.io/qtrpf

      is:preprint lang:en COVID-19 symptom tracking digital phenotyping psychological sequalae telehealth digital mental health natural language processing machine learning
    Visit annotations in context

    Tags

    Annotators

    URL

    psyarxiv.com/qtrpf/
  6. Jul 2020
  7. www.sciencemag.org www.sciencemag.org
    Why men may have more severe COVID-19 symptoms, and using bacteria to track contaminated food
    1
    1. amyhcurtis 31 Jul 2020

      Crespi, S., Wadman, M., (2020). Why men may have more severe COVID-19 symptoms, and using bacteria to track contaminated food. Science | AAAS. https://www.sciencemag.org/podcast/why-men-may-have-more-severe-covid-19-symptoms-and-using-bacteria-track-contaminated-food?utm_campaign=SciMag&utm_source=JHubbard&utm_medium=Twitter

      is:webpage podcast COVID-19 gender men symptom food bacteria hormones biology tracking DNA
    Visit annotations in context

    Tags

    Annotators

    URL

    sciencemag.org/podcast/why-men-may-have-more-severe-covid-19-symptoms-and-using-bacteria-track-contaminated-food