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Resources

XPRIZE

  1. Pandemic response challenge
  2. Guidelines
  3. Resources
  4. Participants page

Cognizant

  1. Demo: How AI Makes Intervention Recommendations
  2. Augmenting Human Decision Making - Optimizing COVID-19 Interventions
  3. Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Elisa Canzani, Babak Hodjat
    From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic
    arXiv:2005.13766

Blavatnik School of Government / University of Oxford

  1. Main page: Coronavirus Government Response Tracker
  2. Intervention plans: Codebook for the Oxford Covid-19 Government Response Tracker
  3. Intervention plans data: OxCGRT_latest.csv
  4. Anna Petherick, Beatriz Kira, Thomas Hale, Toby Phillips, Samuel Webster, Emily Cameron-Blake, Laura Hallas, Saptarshi Majumdar, Helen Tatlow
    Variation in government responses to covid-19
    BSG-WP-2020/032

Papers

  1. Neil M Ferguson, Daniel Laydon, Gemma Nedjati-Gilani et al.
    Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand. Imperial College London (16-03-2020)
    https://doi.org/10.25561/77482.
  2. Flaxman, S., Mishra, S., Gandy, A. et al.
    Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe.
    Nature 584, 257–261 (2020).
    https://doi.org/10.1038/s41586-020-2405-7
  3. Cédric Colas, Boris Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague
    EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models
    arXiv:2010.04452
  4. Mauricio Arango, Lyudmil Pelov. COVID-19 Pandemic Cyclic Lockdown Optimization Using Reinforcement Learning. https://arxiv.org/abs/2009.04647
  5. IHME COVID-19 Forecasting Team., Reiner, R.C., Barber, R.M. et al. Modeling COVID-19 scenarios for the United States. Nat Med (2020). https://doi.org/10.1038/s41591-020-1132-9 https://rdcu.be/ccUrI
  6. Spencer Woody, Mauricio Tec, Maytal Dahan, Kelly Gaither, Michael Lachmann, Spencer J. Fox, Lauren Ancel Meyers, and James Scott. Projections for first-wave COVID-19 deaths across the U􏰀S􏰀 using social-distancing measures derived from mobile phones. https://covid-19.tacc.utexas.edu/media/filer_public/87/63/87635a46-b060-4b5b-a3a5-1b31ab8e0bc6/ut_covid-19_mortality_forecasting_model_latest.pdf
  7. Mohammad-H. Tayarani N., Applications of artificial intelligence in battling against covid-19: A literature review, Chaos, Solitons & Fractals, 2020, 110338, https://doi.org/10.1016/j.chaos.2020.110338.(http://www.sciencedirect.com/science/article/pii/S0960077920307335)
  8. Shinde, G.R., Kalamkar, A.B., Mahalle, P.N. et al. Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art. SN COMPUT. SCI. 1, 197 (2020). https://doi.org/10.1007/s42979-020-00209-9
  9. Chowdhury, R., Heng, K., Shawon, M.S.R. et al. Dynamic interventions to control COVID-19 pandemic: a multivariate prediction modelling study comparing 16 worldwide countries. Eur J Epidemiol 35, 389–399 (2020). https://doi.org/10.1007/s10654-020-00649-w https://rdcu.be/ccUsw

Data

  1. Desvars-Larrive, A., Dervic, E., Haug, N. et al. A structured open dataset of government interventions in response to COVID-19. Sci Data 7, 285 (2020). https://doi.org/10.1038/s41597-020-00609-9 https://rdcu.be/ccUrD
  2. Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/covid-data/
  3. Coronavirus Resource Center, Johns Hopkins University https://coronavirus.jhu.edu/data
  4. City and County Non-Pharmaceutial Intervention Rollout Dates, Keystone Strategy. https://www.keystonestrategy.com/coronavirus-covid19-intervention-dataset-model/
  5. The COVID Tracking Project at the Atlantic. https://covidtracking.com
  6. SafeGraph COVID-19 Data Consortium. https://www.safegraph.com/covid-19-data-consortium

Research Centers and Consortia

  1. COVID-19 Modeling Consortium, the University of Texas at Austin. https://covid-19.tacc.utexas.edu
  2. The Institute for Health Metrics and Evaluation (IHME), University of Washington. http://www.healthdata.org
  3. MRC Centre for Global Infectious Disease Analysis, Imperial College London. https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis/covid-19/
  4. Coronavirus Resource Center, Johns Hopkins University. https://coronavirus.jhu.edu
  5. MIDAS, https://midasnetwork.us/covid-19/