Inference of COVID-19 epidemiological distributions from Brazilian hospital data

Iwona Hawryluk; Thomas A. Mellan; Henrique Hoeltgebaum; Swapnil Mishra; Ricardo P. Schnekenberg; Charles Whittaker; Harrison Zhu; Axel Gandy; Christl A. Donnelly; Seth Flaxman; Samir Bhatt

doi:10.1098/rsif.2020.0596

Inference of COVID-19 epidemiological distributions from Brazilian hospital data

Iwona Hawryluk, Thomas A. Mellan, Henrique Hoeltgebaum, Swapnil Mishra, Ricardo P. Schnekenberg, Charles Whittaker, Harrison Zhu, Axel Gandy, Christl A. Donnelly, Seth Flaxman, Samir Bhatt

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

19 Citationer (Scopus)

8 Downloads (Pure)

Originalsprog	Engelsk
Tidsskrift	Journal of the Royal Society Interface
Antal sider	16
ISSN	1742-5689
DOI	https://doi.org/10.1098/rsif.2020.0596
Status	Udgivet - nov. 2020
Udgivet eksternt	Ja

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10.1098/rsif.2020.0596Licens: CC BY

FulltextForlagets udgivne version, 1,25 MBLicens: CC BY

Citationsformater

Inference of COVID-19 epidemiological distributions from Brazilian hospital data. / Hawryluk, Iwona; Mellan, Thomas A.; Hoeltgebaum, Henrique; Mishra, Swapnil; Schnekenberg, Ricardo P.; Whittaker, Charles; Zhu, Harrison; Gandy, Axel; Donnelly, Christl A.; Flaxman, Seth; Bhatt, Samir.

I: Journal of the Royal Society Interface, 11.2020.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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AU - Hawryluk, Iwona

AU - Mellan, Thomas A.

AU - Hoeltgebaum, Henrique

AU - Mishra, Swapnil

AU - Schnekenberg, Ricardo P.

AU - Whittaker, Charles

AU - Zhu, Harrison

AU - Gandy, Axel

AU - Donnelly, Christl A.

AU - Flaxman, Seth

AU - Bhatt, Samir

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DO - 10.1098/rsif.2020.0596

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JF - Journal of the Royal Society. Interface

SN - 1742-5689

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