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Ranking the effectiveness of worldwide COVID-19 government interventions

Author

Listed:
  • Nina Haug

    (Medical University of Vienna, Section for Science of Complex Systems, CeMSIIS
    Complexity Science Hub Vienna)

  • Lukas Geyrhofer

    (Complexity Science Hub Vienna)

  • Alessandro Londei

    (Sony Computer Science Laboratories)

  • Elma Dervic

    (Medical University of Vienna, Section for Science of Complex Systems, CeMSIIS
    Complexity Science Hub Vienna)

  • Amélie Desvars-Larrive

    (Complexity Science Hub Vienna
    University of Veterinary Medicine)

  • Vittorio Loreto

    (Complexity Science Hub Vienna
    Sony Computer Science Laboratories
    Sapienza University of Rome)

  • Beate Pinior

    (Complexity Science Hub Vienna
    University of Veterinary Medicine)

  • Stefan Thurner

    (Medical University of Vienna, Section for Science of Complex Systems, CeMSIIS
    Complexity Science Hub Vienna
    Santa Fe Institute)

  • Peter Klimek

    (Medical University of Vienna, Section for Science of Complex Systems, CeMSIIS
    Complexity Science Hub Vienna)

Abstract

Assessing the effectiveness of non-pharmaceutical interventions (NPIs) to mitigate the spread of SARS-CoV-2 is critical to inform future preparedness response plans. Here we quantify the impact of 6,068 hierarchically coded NPIs implemented in 79 territories on the effective reproduction number, Rt, of COVID-19. We propose a modelling approach that combines four computational techniques merging statistical, inference and artificial intelligence tools. We validate our findings with two external datasets recording 42,151 additional NPIs from 226 countries. Our results indicate that a suitable combination of NPIs is necessary to curb the spread of the virus. Less disruptive and costly NPIs can be as effective as more intrusive, drastic, ones (for example, a national lockdown). Using country-specific ‘what-if’ scenarios, we assess how the effectiveness of NPIs depends on the local context such as timing of their adoption, opening the way for forecasting the effectiveness of future interventions.

Suggested Citation

  • Nina Haug & Lukas Geyrhofer & Alessandro Londei & Elma Dervic & Amélie Desvars-Larrive & Vittorio Loreto & Beate Pinior & Stefan Thurner & Peter Klimek, 2020. "Ranking the effectiveness of worldwide COVID-19 government interventions," Nature Human Behaviour, Nature, vol. 4(12), pages 1303-1312, December.
  • Handle: RePEc:nat:nathum:v:4:y:2020:i:12:d:10.1038_s41562-020-01009-0
    DOI: 10.1038/s41562-020-01009-0
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