These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
115 related articles for article (PubMed ID: 33758893)
1. All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting. Adiga A; Wang L; Hurt B; Peddireddy A; Porebski P; Venkatramanan S; Lewis B; Marathe M medRxiv; 2021 Mar; ():. PubMed ID: 33758893 [TBL] [Abstract][Full Text] [Related]
2. Comparative assessment of methods for short-term forecasts of COVID-19 hospital admissions in England at the local level. Meakin S; Abbott S; Bosse N; Munday J; Gruson H; Hellewell J; Sherratt K; ; Funk S BMC Med; 2022 Feb; 20(1):86. PubMed ID: 35184736 [TBL] [Abstract][Full Text] [Related]
3. Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Cramer EY; Ray EL; Lopez VK; Bracher J; Brennen A; Castro Rivadeneira AJ; Gerding A; Gneiting T; House KH; Huang Y; Jayawardena D; Kanji AH; Khandelwal A; Le K; Mühlemann A; Niemi J; Shah A; Stark A; Wang Y; Wattanachit N; Zorn MW; Gu Y; Jain S; Bannur N; Deva A; Kulkarni M; Merugu S; Raval A; Shingi S; Tiwari A; White J; Abernethy NF; Woody S; Dahan M; Fox S; Gaither K; Lachmann M; Meyers LA; Scott JG; Tec M; Srivastava A; George GE; Cegan JC; Dettwiller ID; England WP; Farthing MW; Hunter RH; Lafferty B; Linkov I; Mayo ML; Parno MD; Rowland MA; Trump BD; Zhang-James Y; Chen S; Faraone SV; Hess J; Morley CP; Salekin A; Wang D; Corsetti SM; Baer TM; Eisenberg MC; Falb K; Huang Y; Martin ET; McCauley E; Myers RL; Schwarz T; Sheldon D; Gibson GC; Yu R; Gao L; Ma Y; Wu D; Yan X; Jin X; Wang YX; Chen Y; Guo L; Zhao Y; Gu Q; Chen J; Wang L; Xu P; Zhang W; Zou D; Biegel H; Lega J; McConnell S; Nagraj VP; Guertin SL; Hulme-Lowe C; Turner SD; Shi Y; Ban X; Walraven R; Hong QJ; Kong S; van de Walle A; Turtle JA; Ben-Nun M; Riley S; Riley P; Koyluoglu U; DesRoches D; Forli P; Hamory B; Kyriakides C; Leis H; Milliken J; Moloney M; Morgan J; Nirgudkar N; Ozcan G; Piwonka N; Ravi M; Schrader C; Shakhnovich E; Siegel D; Spatz R; Stiefeling C; Wilkinson B; Wong A; Cavany S; España G; Moore S; Oidtman R; Perkins A; Kraus D; Kraus A; Gao Z; Bian J; Cao W; Lavista Ferres J; Li C; Liu TY; Xie X; Zhang S; Zheng S; Vespignani A; Chinazzi M; Davis JT; Mu K; Pastore Y Piontti A; Xiong X; Zheng A; Baek J; Farias V; Georgescu A; Levi R; Sinha D; Wilde J; Perakis G; Bennouna MA; Nze-Ndong D; Singhvi D; Spantidakis I; Thayaparan L; Tsiourvas A; Sarker A; Jadbabaie A; Shah D; Della Penna N; Celi LA; Sundar S; Wolfinger R; Osthus D; Castro L; Fairchild G; Michaud I; Karlen D; Kinsey M; Mullany LC; Rainwater-Lovett K; Shin L; Tallaksen K; Wilson S; Lee EC; Dent J; Grantz KH; Hill AL; Kaminsky J; Kaminsky K; Keegan LT; Lauer SA; Lemaitre JC; Lessler J; Meredith HR; Perez-Saez J; Shah S; Smith CP; Truelove SA; Wills J; Marshall M; Gardner L; Nixon K; Burant JC; Wang L; Gao L; Gu Z; Kim M; Li X; Wang G; Wang Y; Yu S; Reiner RC; Barber R; Gakidou E; Hay SI; Lim S; Murray C; Pigott D; Gurung HL; Baccam P; Stage SA; Suchoski BT; Prakash BA; Adhikari B; Cui J; Rodríguez A; Tabassum A; Xie J; Keskinocak P; Asplund J; Baxter A; Oruc BE; Serban N; Arik SO; Dusenberry M; Epshteyn A; Kanal E; Le LT; Li CL; Pfister T; Sava D; Sinha R; Tsai T; Yoder N; Yoon J; Zhang L; Abbott S; Bosse NI; Funk S; Hellewell J; Meakin SR; Sherratt K; Zhou M; Kalantari R; Yamana TK; Pei S; Shaman J; Li ML; Bertsimas D; Skali Lami O; Soni S; Tazi Bouardi H; Ayer T; Adee M; Chhatwal J; Dalgic OO; Ladd MA; Linas BP; Mueller P; Xiao J; Wang Y; Wang Q; Xie S; Zeng D; Green A; Bien J; Brooks L; Hu AJ; Jahja M; McDonald D; Narasimhan B; Politsch C; Rajanala S; Rumack A; Simon N; Tibshirani RJ; Tibshirani R; Ventura V; Wasserman L; O'Dea EB; Drake JM; Pagano R; Tran QT; Ho LST; Huynh H; Walker JW; Slayton RB; Johansson MA; Biggerstaff M; Reich NG Proc Natl Acad Sci U S A; 2022 Apr; 119(15):e2113561119. PubMed ID: 35394862 [TBL] [Abstract][Full Text] [Related]
4. Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States. Ray EL; Brooks LC; Bien J; Biggerstaff M; Bosse NI; Bracher J; Cramer EY; Funk S; Gerding A; Johansson MA; Rumack A; Wang Y; Zorn M; Tibshirani RJ; Reich NG Int J Forecast; 2023; 39(3):1366-1383. PubMed ID: 35791416 [TBL] [Abstract][Full Text] [Related]
5. Comparative assessment of methods for short-term forecasts of COVID-19 hospital admissions in England at the local level. Meakin S; Abbott S; Bosse N; Munday J; Gruson H; Hellewell J; Sherratt K; ; Funk S medRxiv; 2022 Jan; ():. PubMed ID: 34704097 [TBL] [Abstract][Full Text] [Related]
6. On the accuracy of short-term COVID-19 fatality forecasts. Antulov-Fantulin N; Böttcher L BMC Infect Dis; 2022 Mar; 22(1):251. PubMed ID: 35287605 [TBL] [Abstract][Full Text] [Related]
7. Short-Range Forecasting of COVID-19 During Early Onset at County, Health District, and State Geographic Levels Using Seven Methods: Comparative Forecasting Study. Lynch CJ; Gore R J Med Internet Res; 2021 Mar; 23(3):e24925. PubMed ID: 33621186 [TBL] [Abstract][Full Text] [Related]
8. How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Health Care Needs of the State: Quantitative Analysis. Castro LA; Shelley CD; Osthus D; Michaud I; Mitchell J; Manore CA; Del Valle SY JMIR Public Health Surveill; 2021 Jun; 7(6):e27888. PubMed ID: 34003763 [TBL] [Abstract][Full Text] [Related]
9. A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study. Yu CS; Chang SS; Chang TH; Wu JL; Lin YJ; Chien HF; Chen RJ J Med Internet Res; 2021 May; 23(5):e27806. PubMed ID: 33900932 [TBL] [Abstract][Full Text] [Related]
10. Combining probabilistic forecasts of COVID-19 mortality in the United States. Taylor JW; Taylor KS Eur J Oper Res; 2023 Jan; 304(1):25-41. PubMed ID: 34219901 [TBL] [Abstract][Full Text] [Related]
11. Interval forecasts of weekly incident and cumulative COVID-19 mortality in the United States: A comparison of combining methods. Taylor KS; Taylor JW PLoS One; 2022; 17(3):e0266096. PubMed ID: 35349605 [TBL] [Abstract][Full Text] [Related]
16. COVID-SGIS: A Smart Tool for Dynamic Monitoring and Temporal Forecasting of Covid-19. de Lima CL; da Silva CC; da Silva ACG; Luiz Silva E; Marques GS; de Araújo LJB; Albuquerque Júnior LA; de Souza SBJ; de Santana MA; Gomes JC; de Freitas Barbosa VA; Musah A; Kostkova P; Dos Santos WP; da Silva Filho AG Front Public Health; 2020; 8():580815. PubMed ID: 33282815 [No Abstract] [Full Text] [Related]
17. Comparing human and model-based forecasts of COVID-19 in Germany and Poland. Bosse NI; Abbott S; Bracher J; Hain H; Quilty BJ; Jit M; ; van Leeuwen E; Cori A; Funk S PLoS Comput Biol; 2022 Sep; 18(9):e1010405. PubMed ID: 36121848 [TBL] [Abstract][Full Text] [Related]
18. Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations. Sherratt K; Gruson H; Grah R; Johnson H; Niehus R; Prasse B; Sandmann F; Deuschel J; Wolffram D; Abbott S; Ullrich A; Gibson G; Ray EL; Reich NG; Sheldon D; Wang Y; Wattanachit N; Wang L; Trnka J; Obozinski G; Sun T; Thanou D; Pottier L; Krymova E; Meinke JH; Barbarossa MV; Leithauser N; Mohring J; Schneider J; Wlazlo J; Fuhrmann J; Lange B; Rodiah I; Baccam P; Gurung H; Stage S; Suchoski B; Budzinski J; Walraven R; Villanueva I; Tucek V; Smid M; Zajicek M; Perez Alvarez C; Reina B; Bosse NI; Meakin SR; Castro L; Fairchild G; Michaud I; Osthus D; Alaimo Di Loro P; Maruotti A; Eclerova V; Kraus A; Kraus D; Pribylova L; Dimitris B; Li ML; Saksham S; Dehning J; Mohr S; Priesemann V; Redlarski G; Bejar B; Ardenghi G; Parolini N; Ziarelli G; Bock W; Heyder S; Hotz T; Singh DE; Guzman-Merino M; Aznarte JL; Morina D; Alonso S; Alvarez E; Lopez D; Prats C; Burgard JP; Rodloff A; Zimmermann T; Kuhlmann A; Zibert J; Pennoni F; Divino F; Catala M; Lovison G; Giudici P; Tarantino B; Bartolucci F; Jona Lasinio G; Mingione M; Farcomeni A; Srivastava A; Montero-Manso P; Adiga A; Hurt B; Lewis B; Marathe M; Porebski P; Venkatramanan S; Bartczuk RP; Dreger F; Gambin A; Gogolewski K; Gruziel-Slomka M; Krupa B; Moszyński A; Niedzielewski K; Nowosielski J; Radwan M; Rakowski F; Semeniuk M; Szczurek E; Zielinski J; Kisielewski J; Pabjan B; Holger K; Kheifetz Y; Scholz M; Przemyslaw B; Bodych M; Filinski M; Idzikowski R; Krueger T; Ozanski T; Bracher J; Funk S Elife; 2023 Apr; 12():. PubMed ID: 37083521 [TBL] [Abstract][Full Text] [Related]
19. Forecasting COVID-19 Hospital Census: A Multivariate Time-Series Model Based on Local Infection Incidence. Nguyen HM; Turk PJ; McWilliams AD JMIR Public Health Surveill; 2021 Aug; 7(8):e28195. PubMed ID: 34346897 [TBL] [Abstract][Full Text] [Related]
20. Ensemble bootstrap methodology for forecasting dynamic growth processes using differential equations: application to epidemic outbreaks. Chowell G; Luo R BMC Med Res Methodol; 2021 Feb; 21(1):34. PubMed ID: 33583405 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]