The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Inferring the effectiveness of government interventions against COVID-19
Open accessAbstract
How to hold down transmission: Early in 2020, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission was curbed in many countries by imposing combinations of nonpharmaceutical interventions. Sufficient data on transmission have now accumulated to discern the effectiveness of individual interventions. Brauner et al. amassed and curated data from 41 countries as input to a model to identify the individual nonpharmaceutical interventions that were the most effective at curtailing transmission during the early pandemic. Limiting gatherings to fewer than 10 people, closing high-exposure businesses, and closing schools and universities were each more effective than stay-at-home orders, which were of modest effect in slowing transmission. Science , this issue p. eabd9338
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Cited by
Ranking the effectiveness of worldwide COVID-19 government interventions
Haug, N., Geyrhofer, L., Londei, A., Dervic, E., Desvars-Larrive, A., Loreto, V., Pinior, B., Thurner, S., & Klimek, P. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-01009-0 · Cited by 1,412
Mendez-Brito, A., El Bcheraoui, C., & Pozo-Martin, F. (2021) · Journal of Infection · doi:10.1016/j.jinf.2021.06.018 · Cited by 269
The psychology of the COVID-19 pandemic: A group-level perspective.
Marmarosh, C. L., Forsyth, D. R., Strauss, B., & Burlingame, G. M. (2020) · Group Dynamics: Theory, Research, and Practice · doi:10.1037/gdn0000142 · Cited by 106
How to coordinate vaccination and social distancing to mitigate SARS-CoV-2 outbreaks
Grundel, S., Heyder, S., Hotz, T., Ritschel, T. K. S., Sauerteig, P., & Worthmann, K. (2020) · doi:10.1101/2020.12.22.20248707 · Cited by 40
“They range from network-based over game-theoretical to data-driven methods [15, 16, 17].”
BackgroundOvercoming COVID-19 in China despite shortcomings of the public health system: what can we learn?
Wang, M. M., & Fleßa, S. (2021) · Health Economics Review · doi:10.1186/s13561-021-00319-x · Cited by 6
Metadata
- Authors
- Brauner, J. M., Mindermann, S., Sharma, M., Johnston, D., Salvatier, J., Gavenčiak, T., Stephenson, A. B., Leech, G., Altman, G., Mikulik, V., Norman, A. J., Monrad, J. T., Besiroglu, T., Ge, H., Hartwick, M. A., Teh, Y. W., Chindelevitch, L., Gal, Y., & Kulveit, J.
- Venue
- Science
- Published
- 2021-02-19
- Volume
- 371
- Issue
- 6531
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3111564425
- Cited by
- 1,065
- References
- 12
- FWCI
- 31.82
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Brauner, J. M., Mindermann, S., Sharma, M., Johnston, D., Salvatier, J., Gavenčiak, T., Stephenson, A. B., Leech, G., Altman, G., Mikulik, V., Norman, A. J., Monrad, J. T., Besiroglu, T., Ge, H., Hartwick, M. A., Teh, Y. W., Chindelevitch, L., Gal, Y., & Kulveit, J. (2021). Inferring the effectiveness of government interventions against COVID-19. Science. https://doi.org/10.1126/science.abd9338
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