The United States COVID-19 Forecast Hub dataset-Reference-Cited by-同舟云学术

The United States COVID-19 Forecast Hub dataset

Published:2022-08-01 Issue:1 Volume:9 Page:
ISSN:2052-4463
Container-title:Scientific Data
language:en
Short-container-title:Sci Data

Author:

Cramer Estee Y.^ORCID,Huang Yuxin,Wang Yijin^ORCID,Ray Evan L.,Cornell Matthew,Bracher Johannes,Brennen Andrea,Rivadeneira Alvaro J. Castro,Gerding Aaron,House Katie,Jayawardena Dasuni,Kanji Abdul Hannan,Khandelwal Ayush,Le Khoa,Mody Vidhi,Mody Vrushti,Niemi Jarad^ORCID,Stark Ariane^ORCID,Shah Apurv,Wattanchit Nutcha,Zorn Martha W.,Reich Nicholas G.,Gneiting Tilmann,Mühlemann Anja,Gu Youyang,Chen Yixian,Chintanippu Krishna,Jivane Viresh,Khurana Ankita,Kumar Ajay,Lakhani Anshul,Mehrotra Prakhar,Pasumarty Sujitha,Shrivastav Monika,You Jialu,Bannur Nayana,Deva Ayush,Jain Sansiddh,Kulkarni Mihir,Merugu Srujana,Raval Alpan,Shingi Siddhant,Tiwari Avtansh,White Jerome,Adiga Aniruddha,Hurt Benjamin,Lewis Bryan,Marathe Madhav,Peddireddy Akhil Sai,Porebski Przemyslaw,Venkatramanan Srinivasan,Wang Lijing,Dahan Maytal,Fox Spencer,Gaither Kelly,Lachmann Michael,Meyers Lauren Ancel,Scott James G.,Tec Mauricio,Woody Spencer,Srivastava Ajitesh,Xu Tianjian,Cegan Jeffrey C.,Dettwiller Ian D.,England William P.,Farthing Matthew W.,George Glover E.,Hunter Robert H.,Lafferty Brandon,Linkov Igor,Mayo Michael L.,Parno Matthew D.,Rowland Michael A.,Trump Benjamin D.,Chen Samuel,Faraone Stephen V.,Hess Jonathan,Morley Christopher P.,Salekin Asif,Wang Dongliang,Zhang-James Yanli,Baer Thomas M.,Corsetti Sabrina M.,Eisenberg Marisa C.,Falb Karl,Huang Yitao,Martin Emily T.,McCauley Ella,Myers Robert L.,Schwarz Tom,Gibson Graham Casey,Sheldon Daniel,Gao Liyao,Ma Yian,Wu Dongxia,Yu Rose,Jin Xiaoyong,Wang Yu-Xiang,Yan Xifeng,Chen YangQuan,Guo Lihong,Zhao Yanting,Chen Jinghui,Gu Quanquan,Wang Lingxiao,Xu Pan,Zhang Weitong,Zou Difan,Chattopadhyay Ishanu,Huang Yi,Lu Guoqing,Pfeiffer Ruth,Sumner Timothy,Wang Dongdong,Wang Liqiang,Zhang Shunpu,Zou Zihang,Biegel Hannah,Lega Joceline,Hussain Fazle,Khan Zeina,Van Bussel Frank,McConnell Steve,Guertin Stephanie L,Hulme-Lowe Christopher,Nagraj V. P.,Turner Stephen D.,Bejar Benjamín,Choirat Christine,Flahault Antoine,Krymova Ekaterina,Lee Gavin,Manetti Elisa,Namigai Kristen,Obozinski Guillaume,Sun Tao,Thanou Dorina,Ban Xuegang,Shi Yunfeng,Walraven Robert,Hong Qi-Jun,van de Walle Axel,Ben-Nun Michal,Riley Steven,Riley Pete,Turtle James,Cao Duy,Galasso Joseph,Cho Jae H.,Jo Areum,DesRoches David,Forli Pedro,Hamory Bruce,Koyluoglu Ugur,Kyriakides Christina,Leis Helen,Milliken John,Moloney Michael,Morgan James,Nirgudkar Ninad,Ozcan Gokce,Piwonka Noah,Ravi Matt,Schrader Chris,Shakhnovich Elizabeth,Siegel Daniel,Spatz Ryan,Stiefeling Chris,Wilkinson Barrie,Wong Alexander,Cavany Sean,España Guido,Moore Sean,Oidtman Rachel,Perkins Alex,Ivy Julie S.,Mayorga Maria E.,Mele Jessica,Rosenstrom Erik T.,Swann Julie L.,Kraus Andrea,Kraus David,Bian Jiang,Cao Wei,Gao Zhifeng,Ferres Juan Lavista,Li Chaozhuo,Liu Tie-Yan,Xie Xing,Zhang Shun,Zheng Shun,Chinazzi Matteo,Vespignani Alessandro,Xiong Xinyue,Davis Jessica T.,Mu Kunpeng,Piontti Ana Pastore y,Baek Jackie,Farias Vivek,Georgescu Andreea,Levi Retsef,Sinha Deeksha,Wilde Joshua,Zheng Andrew,Lami Omar Skali,Bennouna Amine,Ndong David Nze,Perakis Georgia,Singhvi Divya,Spantidakis Ioannis,Thayaparan Leann,Tsiourvas Asterios,Weisberg Shane,Jadbabaie Ali,Sarker Arnab,Shah Devavrat,Celi Leo A.,Penna Nicolas D.,Sundar Saketh,Berlin Abraham,Gandhi Parth D.,McAndrew Thomas,Piriya Matthew,Chen Ye,Hlavacek William,Lin Yen Ting,Mallela Abhishek,Miller Ely,Neumann Jacob,Posner Richard,Wolfinger Russ,Castro Lauren,Fairchild Geoffrey,Michaud Isaac,Osthus Dave,Wolffram Daniel,Karlen Dean,Panaggio Mark J.,Kinsey Matt,Mullany Luke C.,Rainwater-Lovett Kaitlin,Shin Lauren,Tallaksen Katharine,Wilson Shelby,Brenner Michael,Coram Marc,Edwards Jessie K.,Joshi Keya,Klein Ellen,Hulse Juan Dent,Grantz Kyra H.,Hill Alison L.,Kaminsky Kathryn,Kaminsky Joshua,Keegan Lindsay T.,Lauer Stephen A.,Lee Elizabeth C.,Lemaitre Joseph C.,Lessler Justin,Meredith Hannah R.,Perez-Saez Javier,Shah Sam,Smith Claire P.,Truelove Shaun A.,Wills Josh,Gardner Lauren,Marshall Maximilian,Nixon Kristen,Burant John C.,Budzinski Jozef,Chiang Wen-Hao,Mohler George,Gao Junyi,Glass Lucas,Qian Cheng,Romberg Justin,Sharma Rakshith,Spaeder Jeffrey,Sun Jimeng,Xiao Cao,Gao Lei,Gu Zhiling,Kim Myungjin,Li Xinyi,Wang Yueying,Wang Guannan,Wang Lily,Yu Shan,Jain Chaman,Bhatia Sangeeta,Nouvellet Pierre,Barber Ryan,Gaikedu Emmanuela,Hay Simon,Lim Steve,Murray Chris,Pigott David,Reiner Robert C.,Baccam Prasith,Gurung Heidi L.,Stage Steven A.,Suchoski Bradley T.,Fong Chung-Yan,Yeung Dit-Yan,Adhikari Bijaya,Cui Jiaming,Prakash B. Aditya,Rodríguez Alexander,Tabassum Anika,Xie Jiajia,Asplund John,Baxter Arden,Keskinocak Pinar,Oruc Buse Eylul,Serban Nicoleta,Arik Sercan O.,Dusenberry Mike,Epshteyn Arkady,Kanal Elli,Le Long T.,Li Chun-Liang,Pfister Tomas,Sinha Rajarishi,Tsai Thomas,Yoder Nate,Yoon Jinsung,Zhang Leyou,Wilson Daniel,Belov Artur A.,Chow Carson C.,Gerkin Richard C.,Yogurtcu Osman N.,Ibrahim Mark,Lacroix Timothee,Le Matthew,Liao Jason,Nickel Maximilian,Sagun Levent,Abbott Sam,Bosse Nikos I.,Funk Sebastian,Hellewell Joel,Meakin Sophie R.,Sherratt Katharine,Kalantari Rahi,Zhou Mingyuan,Karimzadeh Morteza,Lucas Benjamin,Ngo Thoai,Zoraghein Hamidreza,Vahedi Behzad,Wang Zhongying,Sen Pei ,Shaman Jeffrey,Yamana Teresa K.,Bertsimas Dimitris,Li Michael L.,Soni Saksham,Bouardi Hamza Tazi,Adee Madeline,Ayer Turgay,Chhatwal Jagpreet,Dalgic Ozden O.,Ladd Mary A.,Linas Benjamin P.,Mueller Peter,Xiao Jade,Bosch Jurgen,Wilson Austin,Zimmerman Peter,Wang Qinxia,Wang Yuanjia,Xie Shanghong,Zeng Donglin,Bien Jacob,Brooks Logan,Green Alden,Hu Addison J.,Jahja Maria,McDonald Daniel,Narasimhan Balasubramanian,Politsch Collin,Rajanala Samyak,Rumack Aaron,Simon Noah,Tibshirani Ryan J.,Tibshirani Rob,Ventura Valerie,Wasserman Larry,Drake John M.,O’Dea Eamon B.,Abu-Mostafa Yaser,Bathwal Rahil,Chang Nicholas A.,Chitta Pavan,Erickson Anne,Goel Sumit,Gowda Jethin,Jin Qixuan,Jo HyeongChan,Kim Juhyun,Kulkarni Pranav,Lushtak Samuel M.,Mann Ethan,Popken Max,Soohoo Connor,Tirumala Kushal,Tseng Albert,Varadarajan Vignesh,Vytheeswaran Jagath,Wang Christopher,Yeluri Akshay,Yurk Dominic,Zhang Michael,Zlokapa Alexander,Pagano Robert,Jain Chandini,Tomar Vishal,Ho Lam,Huynh Huong,Tran Quoc,Lopez Velma K.,Walker Jo W.,Slayton Rachel B.,Johansson Michael A.,Biggerstaff Matthew,Reich Nicholas G.,

Abstract

AbstractAcademic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Link

https://www.nature.com/articles/s41597-022-01517-w.pdf

Reference38 articles.

1. Haghani, M. & Bliemer, M. C. J. Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature. Scientometrics 125, 2695–2726 (2020).

2. Cramer, E. Y. et al. Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proc. Natl. Acad. Sci. U. S. A. 119, e2113561119 (2022).

3. Brooks, L. C. et al. Comparing ensemble approaches for short-term probabilistic COVID-19 forecasts in the U.S. International Institute of Forecasters (2020).

4. Ray, E. L. et al. Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States. arXiv [stat.ME] (2022).

5. Taylor, J. W. & Taylor, K. S. Combining Probabilistic Forecasts of COVID-19 Mortality in the United States. Eur. J. Oper. Res. https://doi.org/10.1016/j.ejor.2021.06.044 (2021).

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