epiverse-trace
Pavlich-Mariscal, J; Eggo, RM
; Kucharski, AJ
; Gruson, H
; Russell, TW
; Valle Campos, A; Cucunubá, ZM; Santos-Vega, M; Gupte, P; Azam, J; Torres Domínguez, N; Lambert, J
; Gomez, G; Umaña, JD; Quevedo-Vega, DS; Gámez López, ME and Carnegie, A
(2023).
epiverse-trace.
[Collection].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
https://github.com/epiverse-trace
Epiverse is a global collaborative working to develop a trustworthy data analysis ecosystem dedicated to getting ahead of the next public health crisis.
Item Type | Collection |
---|---|
Date | 31 March 2023 |
Project contact | Eggo, Rosalind M. |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Relationships |
Explore Further
- Eggo, Rosalind M.
- Kucharski, Adam
- Gruson, Hugo
- Russell, Timothy W.
- Valle Campos, Andree
- Gupte, Pratik
- Azam, James
- Lambert, Joshua W.
- Carnegie, Anna
- Github (Online Data Resource)
- Epiverse website (Project)
No files available. Please consult associated links.
- Github (Online Data Resource)
- Epiverse website (Project)
ORCID: https://orcid.org/0000-0002-0362-6717
ORCID: https://orcid.org/0000-0001-8814-9421
ORCID: https://orcid.org/0000-0002-4094-1476
ORCID: https://orcid.org/0000-0001-5610-6080
ORCID: https://orcid.org/0000-0001-5218-3046