Ranking the effectiveness of worldwide COVID-19 government interventions

Research output: Contribution to journal › Journal article › Research › peer-review

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Ranking the effectiveness of worldwide COVID-19 government interventions. / Haug, Nils; Geyrhofer, Lukas; Londei, Alessandro; Dervic, Elma; Desvars-Larrive, Amélie; Loreto, Vittorio; Pinior, Beate; Thurner, Stefan; Klimek, Peter.

In: Nature Human Behaviour, Vol. 4, No. 12, 12.2020, p. 1303-1312.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Haug, N, Geyrhofer, L, Londei, A, Dervic, E, Desvars-Larrive, A, Loreto, V, Pinior, B, Thurner, S & Klimek, P 2020, 'Ranking the effectiveness of worldwide COVID-19 government interventions', Nature Human Behaviour, vol. 4, no. 12, pp. 1303-1312. https://doi.org/10.1038/s41562-020-01009-0

APA

Haug, N., Geyrhofer, L., Londei, A., Dervic, E., Desvars-Larrive, A., Loreto, V., Pinior, B., Thurner, S., & Klimek, P. (2020). Ranking the effectiveness of worldwide COVID-19 government interventions. Nature Human Behaviour, 4(12), 1303-1312. https://doi.org/10.1038/s41562-020-01009-0

Vancouver

Haug N, Geyrhofer L, Londei A, Dervic E, Desvars-Larrive A, Loreto V et al. Ranking the effectiveness of worldwide COVID-19 government interventions. Nature Human Behaviour. 2020 Dec;4(12):1303-1312. https://doi.org/10.1038/s41562-020-01009-0

Author

Haug, Nils ; Geyrhofer, Lukas ; Londei, Alessandro ; Dervic, Elma ; Desvars-Larrive, Amélie ; Loreto, Vittorio ; Pinior, Beate ; Thurner, Stefan ; Klimek, Peter. / Ranking the effectiveness of worldwide COVID-19 government interventions. In: Nature Human Behaviour. 2020 ; Vol. 4, No. 12. pp. 1303-1312.

Bibtex

@article{5ed45ed2b8024207b1c091dc148bb4bc,
title = "Ranking the effectiveness of worldwide COVID-19 government interventions",
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 {\textquoteleft}what-if{\textquoteright} 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.",
author = "Nils Haug and Lukas Geyrhofer and Alessandro Londei and Elma Dervic and Am{\'e}lie Desvars-Larrive and Vittorio Loreto and Beate Pinior and Stefan Thurner and Peter Klimek",
year = "2020",
month = dec,
doi = "10.1038/s41562-020-01009-0",
language = "English",
volume = "4",
pages = "1303--1312",
journal = "Nature Human Behaviour",
issn = "2397-3374",
publisher = "Nature Publishing Group",
number = "12",

}

RIS

TY - JOUR

T1 - Ranking the effectiveness of worldwide COVID-19 government interventions

AU - Haug, Nils

AU - Geyrhofer, Lukas

AU - Londei, Alessandro

AU - Dervic, Elma

AU - Desvars-Larrive, Amélie

AU - Loreto, Vittorio

AU - Pinior, Beate

AU - Thurner, Stefan

AU - Klimek, Peter

PY - 2020/12

Y1 - 2020/12

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85096043056&partnerID=8YFLogxK

U2 - 10.1038/s41562-020-01009-0

DO - 10.1038/s41562-020-01009-0

M3 - Journal article

C2 - 33199859

AN - SCOPUS:85096043056

VL - 4

SP - 1303

EP - 1312

JO - Nature Human Behaviour

JF - Nature Human Behaviour

SN - 2397-3374

IS - 12

ER -

ID: 259316184