Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions
Estimating the effects of non-pharmaceutical interventions for COVID-19 is challenging, partly due to variations in testing. Here, the authors use viral sequence data as an alternative means of inferring intervention effects, and show that delays in implementation resulted in more severe epidemics.
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Nature Portfolio
2021
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oai:doaj.org-article:4b8a6e07a20943088a8f87b97aa8e3432021-12-02T15:51:07ZGenetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions10.1038/s41467-021-22366-y2041-1723https://doaj.org/article/4b8a6e07a20943088a8f87b97aa8e3432021-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22366-yhttps://doaj.org/toc/2041-1723Estimating the effects of non-pharmaceutical interventions for COVID-19 is challenging, partly due to variations in testing. Here, the authors use viral sequence data as an alternative means of inferring intervention effects, and show that delays in implementation resulted in more severe epidemics.Manon Ragonnet-CroninOlivia BoydLily GeidelbergDavid JorgensenFabricia F. NascimentoIgor SiveroniRobert A. JohnsonMarc BaguelinZulma M. CucunubáElita JauneikaiteSwapnil MishraOliver J. WatsonNeil FergusonAnne CoriChristl A. DonnellyErik VolzNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-7 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Science Q |
| spellingShingle |
Science Q Manon Ragonnet-Cronin Olivia Boyd Lily Geidelberg David Jorgensen Fabricia F. Nascimento Igor Siveroni Robert A. Johnson Marc Baguelin Zulma M. Cucunubá Elita Jauneikaite Swapnil Mishra Oliver J. Watson Neil Ferguson Anne Cori Christl A. Donnelly Erik Volz Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions |
| description |
Estimating the effects of non-pharmaceutical interventions for COVID-19 is challenging, partly due to variations in testing. Here, the authors use viral sequence data as an alternative means of inferring intervention effects, and show that delays in implementation resulted in more severe epidemics. |
| format |
article |
| author |
Manon Ragonnet-Cronin Olivia Boyd Lily Geidelberg David Jorgensen Fabricia F. Nascimento Igor Siveroni Robert A. Johnson Marc Baguelin Zulma M. Cucunubá Elita Jauneikaite Swapnil Mishra Oliver J. Watson Neil Ferguson Anne Cori Christl A. Donnelly Erik Volz |
| author_facet |
Manon Ragonnet-Cronin Olivia Boyd Lily Geidelberg David Jorgensen Fabricia F. Nascimento Igor Siveroni Robert A. Johnson Marc Baguelin Zulma M. Cucunubá Elita Jauneikaite Swapnil Mishra Oliver J. Watson Neil Ferguson Anne Cori Christl A. Donnelly Erik Volz |
| author_sort |
Manon Ragonnet-Cronin |
| title |
Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions |
| title_short |
Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions |
| title_full |
Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions |
| title_fullStr |
Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions |
| title_full_unstemmed |
Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions |
| title_sort |
genetic evidence for the association between covid-19 epidemic severity and timing of non-pharmaceutical interventions |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/4b8a6e07a20943088a8f87b97aa8e343 |
| work_keys_str_mv |
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| _version_ |
1718385630792122368 |