The United States COVID-19 Forecast Hub dataset
US COVID-19 Forecast Hub Consortium; Cramer, Estee Y.; Huang, Yuxin; Wang, Yijin; Ray, Evan L.; Cornell, Matthew; Bracher, Johannes 1; 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; Stark, Ariane; ... mehrShah, Apurv; Wattanchit, Nutcha; Zorn, Martha W.; Reich, Nicholas G. ; Gneiting, Tilmann 2; 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 1; 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.
1 Karlsruher Institut für Technologie (KIT)
2 Institut für Stochastik (STOCH), Karlsruher Institut für Technologie (KIT)
Abstract:
Academic 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.
Zugehörige Institution(en) am KIT |
Institut für Stochastik (STOCH) |
Publikationstyp |
Zeitschriftenaufsatz |
Publikationsmonat/-jahr |
12.2022 |
Sprache |
Englisch |
Identifikator |
ISSN: 2052-4463, 2052-4436
KITopen-ID: 1000150017 |
Erschienen in |
Scientific Data |
Verlag |
Nature Research |
Band |
9 |
Heft |
1 |
Seiten |
Art.-Nr.: 462 |
Vorab online veröffentlicht am |
01.08.2022 |
Nachgewiesen in |
Scopus Dimensions Web of Science
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Globale Ziele für nachhaltige Entwicklung |
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