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Ranking the effectiveness of worldwide COVID-19 government interventions.
Haug, Nina; Geyrhofer, Lukas; Londei, Alessandro; Dervic, Elma; Desvars-Larrive, Amélie; Loreto, Vittorio; Pinior, Beate; Thurner, Stefan; Klimek, Peter.
  • Haug N; Medical University of Vienna, Section for Science of Complex Systems, CeMSIIS, Vienna, Austria.
  • Geyrhofer L; Complexity Science Hub Vienna, Vienna, Austria.
  • Londei A; Complexity Science Hub Vienna, Vienna, Austria.
  • Dervic E; Sony Computer Science Laboratories, Paris, France.
  • Desvars-Larrive A; Medical University of Vienna, Section for Science of Complex Systems, CeMSIIS, Vienna, Austria.
  • Loreto V; Complexity Science Hub Vienna, Vienna, Austria.
  • Pinior B; Complexity Science Hub Vienna, Vienna, Austria.
  • Thurner S; Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria.
  • Klimek P; Complexity Science Hub Vienna, Vienna, Austria.
Nat Hum Behav ; 4(12): 1303-1312, 2020 12.
Article in English | MEDLINE | ID: covidwho-926236
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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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Global Health / Basic Reproduction Number / COVID-19 / Government Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Journal: Nat Hum Behav Year: 2020 Document Type: Article Affiliation country: S41562-020-01009-0

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Global Health / Basic Reproduction Number / COVID-19 / Government Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Journal: Nat Hum Behav Year: 2020 Document Type: Article Affiliation country: S41562-020-01009-0