2 Matching Annotations
  1. Sep 2020
  2. academic.oup.com academic.oup.com
    Potential Biases Arising from Epidemic Dynamics in Observational Seroprotection Studies
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    1. ErikStuchly 08 Sep 2020

      Kahn, R., Kennedy-Shaffer, L., Grad, Y. H., Robins, J. M., & Lipsitch, M. (n.d.). Potential Biases Arising from Epidemic Dynamics in Observational Seroprotection Studies. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwaa188

      is:article lang:en COVID-19 dynamics bias seroprotection observational study duration immunity epidemiology confound modeling exposure geographic structure protection
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    academic.oup.com/aje/advance-article/doi/10.1093/aje/kwaa188/5900104
  3. Aug 2020
  4. www.nber.org www.nber.org
    The Geographic Spread of COVID-19 Correlates with Structure of Social Networks as Measured by Facebook
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    1. ErikStuchly 11 Aug 2020

      Kuchler, T., Russel, D., & Stroebel, J. (2020). The Geographic Spread of COVID-19 Correlates with Structure of Social Networks as Measured by Facebook (Working Paper No. 26990; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26990

      is:preprint lang:en COVID-19 transmission social network structure Facebook social media hotspot case number geographic proximity density epidemiology
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    nber.org/papers/w26990