Epidemic tracking and forecasting: Lessons learned from a tumultuous year
Proc Natl Acad Sci U S A
.
2021 Dec 21;118(51):e2111456118.
doi: 10.1073/pnas.2111456118.
Authors
Roni Rosenfeld
1
,
Ryan J Tibshirani
2
3
Affiliations
1
Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
2
Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213;
[email protected]
.
3
Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA 15213.
PMID:
34903658
PMCID:
PMC8713795
DOI:
10.1073/pnas.2111456118
No abstract available
Publication types
Research Support, U.S. Gov't, P.H.S.
MeSH terms
COVID-19 / epidemiology*
Epidemics / statistics & numerical data*
Epidemiologic Methods
Forecasting
Humans
Review Literature as Topic
SARS-CoV-2
Grants and funding
U01 IP001121/IP/NCIRD CDC HHS/United States
U01IP001121/ACL/ACL HHS/United States