Detalhe da pesquisa
1.
The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination.
Proc Natl Acad Sci U S A
; 118(51)2021 12 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-34903656
2.
Recalibrating probabilistic forecasts of epidemics.
PLoS Comput Biol
; 18(12): e1010771, 2022 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-36520949
3.
A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States.
Proc Natl Acad Sci U S A
; 116(8): 3146-3154, 2019 02 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-30647115
4.
An open challenge to advance probabilistic forecasting for dengue epidemics.
Proc Natl Acad Sci U S A
; 116(48): 24268-24274, 2019 11 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-31712420
5.
Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.
PLoS Comput Biol
; 15(11): e1007486, 2019 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-31756193
6.
Active deep learning to detect demographic traits in free-form clinical notes.
J Biomed Inform
; 107: 103436, 2020 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-32428572
7.
Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions.
PLoS Comput Biol
; 14(6): e1006134, 2018 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-29906286
8.
Epidemic tracking and forecasting: Lessons learned from a tumultuous year.
Proc Natl Acad Sci U S A
; 118(51)2021 12 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-34903658
9.
A human judgment approach to epidemiological forecasting.
PLoS Comput Biol
; 13(3): e1005248, 2017 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-28282375
10.
Collaborative Hubs: Making the Most of Predictive Epidemic Modeling.
Am J Public Health
; 112(6): 839-842, 2022 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-35420897
11.
Reply to Bracher: Scoring probabilistic forecasts to maximize public health interpretability.
Proc Natl Acad Sci U S A
; 116(42): 20811-20812, 2019 10 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-31558611
12.
Flexible Modeling of Epidemics with an Empirical Bayes Framework.
PLoS Comput Biol
; 11(8): e1004382, 2015 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-26317693
13.
Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge.
BMC Infect Dis
; 16: 357, 2016 07 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-27449080
14.
A large-scale immuno-epidemiological simulation of influenza A epidemics.
BMC Public Health
; 14: 1019, 2014 Sep 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-25266818
15.
FRED (a Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations.
BMC Public Health
; 13: 940, 2013 Oct 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-24103508
16.
Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations.
medRxiv
; 2023 Dec 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-38168429
17.
A probabilistic generative model for GO enrichment analysis.
Nucleic Acids Res
; 36(17): e109, 2008 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-18676451
18.
Differences in Regional Patterns of Influenza Activity Across Surveillance Systems in the United States: Comparative Evaluation.
JMIR Public Health Surveill
; 5(4): e13403, 2019 Sep 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-31579019
19.
Results from the second year of a collaborative effort to forecast influenza seasons in the United States.
Epidemics
; 24: 26-33, 2018 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-29506911
20.
Identifying cycling genes by combining sequence homology and expression data.
Bioinformatics
; 22(14): e314-22, 2006 Jul 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-16873488