Real-time COVID-19 forecasting : challenges and opportunities of model performance and translation

Nixon, Kristen; Jindal, Sonia; Parker, Felix; Marshall, Maximilian; Reich, Nicholas G; Ghobadi, Kimia; Lee, Elizabeth; Truelove, Shaun; Gardner, Lauren

doi:10.1016/S2589-7500(22)00167-4

Scientific article

English

Real-time COVID-19 forecasting : challenges and opportunities of model performance and translation

ContributorsNixon, Kristen; Jindal, Sonia; Parker, Felix; Marshall, Maximilian; Reich, Nicholas G; Ghobadi, Kimia; Lee, Elizabeth

; Truelove, Shaun

; Gardner, Lauren

Published inThe Lancet. Digital health, vol. 4, no. 10, p. e699-e701

Publication date2022-10

Keywords

COVID-19
Forecasting
Humans

Affiliation entities

Not a UNIGE publication

Funding

NIGMS NIH HHS [R35 GM119582]
NCIRD CDC HHS [U01 IP001122]

Citation (ISO format)

NIXON, Kristen et al. Real-time COVID-19 forecasting : challenges and opportunities of model performance and translation. In: The Lancet. Digital health, 2022, vol. 4, n° 10, p. e699–e701. doi: 10.1016/S2589-7500(22)00167-4

Article (Published version)

CC BY-4.0

Identifiers

PID : unige:194940
DOI : 10.1016/S2589-7500(22)00167-4
PMID : 36150779
PMCID : PMC9499327

Additional URL for this publicationhttps://www.sciencedirect.com/science/article/pii/S2589750022001674

Journal ISSN2589-7500

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Creation30/09/2025 16:45:50

First validation03/08/2026 06:58:11

Update03/08/2026 06:58:11

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Real-time COVID-19 forecasting : challenges and opportunities of model performance and translation

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