J 2022

The United States COVID-19 Forecast Hub dataset

CRAMER, Estee Y., Yuxin HUANG, Yijin WANG, Evan L. RAY, Matthew CORNELL et. al.

Základní údaje

Originální název

The United States COVID-19 Forecast Hub dataset

Autoři

CRAMER, Estee Y., Yuxin HUANG, Yijin WANG, Evan L. RAY, Matthew CORNELL, Johannes BRACHER, Andrea BRENNEN, Alvaro J. Castro RIVADENEIRA, Aaron GERDING, Katie HOUSE, Dasuni JAYAWARDENA, Abdul Hannan KANJI, Ayush KHANDELWAL, Khoa LE, Vidhi MODY, Vrushti MODY, Jarad NIEMI, Ariane STARK, Apurv SHAH, Nutcha WATTANCHIT, Martha W. ZORN, Nicholas G. REICH, Tilmann GNEITING, Anja MÜHLEMANN, Youyang GU, Yixian CHEN, Krishna CHINTANIPPU, Viresh JIVANE, Ankita KHURANA, Ajay KUMAR, Anshul LAKHANI, Prakhar MEHROTRA, Sujitha PASUMARTY, Monika SHRIVASTAV, Jialu YOU, Nayana BANNUR, Ayush DEVA, Sansiddh JAIN, Mihir KULKARNI, Srujana MERUGU, Alpan RAVAL, Siddhant SHINGI, Avtansh TIWARI, Jerome WHITE, Aniruddha ADIGA, Benjamin HURT, Bryan LEWIS, Madhav MARATHE, Akhil Sai PEDDIREDDY, Przemyslaw POREBSKI, Srinivasan VENKATRAMANAN, Lijing WANG, Maytal DAHAN, Spencer FOX, Kelly GAITHER, Michael LACHMANN, Lauren Ancel MEYERS, James G. SCOTT, Mauricio TEC, Spencer WOODY, Ajitesh SRIVASTAVA, Tianjian XU, Jeffrey C. CEGAN, Ian D. DETTWILLER, William P. ENGLAND, Matthew W. FARTHING, Glover E. GEORGE, Robert H. HUNTER, Brandon LAFFERTY, Igor LINKOV, Michael L. MAYO, Matthew D. PARNO, Michael A. ROWLAND, Benjamin D. TRUMP, Samuel CHEN, Stephen V. FARAONE, Jonathan HESS, Christopher P. MORLEY, Asif SALEKIN, Dongliang WANG, Yanli ZHANG-JAMES, Thomas M. BAER, Sabrina M. CORSETTI, Marisa C. EISENBERG, Karl FALB, Yitao HUANG, Emily T. MARTIN, Ella MCCAULEY, Robert L. MYERS, Tom SCHWARZ, Graham Casey GIBSON, Daniel SHELDON, Liyao GAO, Yian MA, Dongxia WU, Rose YU, Xiaoyong JIN, Wang YU-XIANG, Xifeng YAN, YangQuan CHEN, Lihong GUO, Yanting ZHAO, Jinghui CHEN, Quanquan GU, Lingxiao WANG, Pan XU, Weitong ZHANG, Difan ZOU, Ishanu CHATTOPADHYAY, Yi HUANG, Guoqing LU, Ruth PFEIFFER, Timothy SUMNER, Dongdong WANG, Liqiang WANG, Shunpu ZHANG, Zihang ZOU, Hannah BIEGEL, Joceline LEGA, Fazle HUSSAIN, Zeina KHAN, Frank VAN BUSSEL, Steve MCCONNELL, Stephanie L. GUERTIN, Christopher HULME-LOWE, V. P. NAGRAJ, Stephen D. TURNER, Benjamín BEJAR, Christine CHOIRAT, Antoine FLAHAULT, Ekaterina KRYMOVA, Gavin LEE, Elisa MANETTI, Kristen NAMIGAI, Guillaume OBOZINSKI, Tao SUN, Dorina THANOU, Xuegang BAN, Yunfeng SHI, Robert WALRAVEN, Hong QI-JUN, Axel VAN DE WALLE, Michal BEN-NUN, Steven RILEY, Pete RILEY, James TURTLE, Duy CAO, Joseph GALASSO, Jae H. CHO, Areum JO, David DESROCHES, Pedro FORLI, Bruce HAMORY, Ugur KOYLUOGLU, Christina KYRIAKIDES, Helen LEIS, John MILLIKEN, Michael MOLONEY, James MORGAN, Ninad NIRGUDKAR, Gokce OZCAN, Noah PIWONKA, Ravi MATT, Chris SCHRADER, Elizabeth SHAKHNOVICH, Daniel SIEGEL, Ryan SPATZ, Chris STIEFELING, Barrie WILKINSON, Alexander WONG, Sean CAVANY, Guido ESPAÑA, Sean MOORE, Rachel OIDTMAN, Alex PERKINS, Julie S. IVY, Maria E. MAYORGA, Jessica MELE, Erik T. ROSENSTROM, Julie L. SWANN, Andrea KRAUS (703 Slovensko, domácí), David KRAUS (203 Česká republika, domácí), Jiang BIAN, Wei CAO, Zhifeng GAO, Juan Lavista FERRES, Chaozhuo LI, Liu TIE-YAN, Xing XIE, Shun ZHANG, Shun ZHENG, Matteo CHINAZZI, Alessandro VESPIGNANI, Xinyue XIONG, Jessica T. DAVIS, Kunpeng MU, Ana Pastore y PIONTTI, Jackie BAEK, Vivek FARIAS, Andreea GEORGESCU, Retsef LEVI, Deeksha SINHA, Joshua WILDE, Andrew ZHENG, Omar Skali LAMI, Amine BENNOUNA, David Nze NDONG, Georgia PERAKIS, Divya SINGHVI, Ioannis SPANTIDAKIS, Leann THAYAPARAN, Asterios TSIOURVAS, Shane WEISBERG, Ali JADBABAIE, Arnab SARKER, Devavrat SHAH, Leo A. CELI, Nicolas D. PENNA, Saketh SUNDAR, Abraham BERLIN, Parth D. GANDHI, Thomas MCANDREW, Matthew PIRIYA, Ye CHEN, William HLAVACEK, Yen Ting LIN, Abhishek MALLELA, Ely MILLER, Jacob NEUMANN, Richard POSNER, Russ WOLFINGER, Lauren CASTRO, Geoffrey FAIRCHILD, Isaac MICHAUD, Dave OSTHUS, Daniel WOLFFRAM, Dean KARLEN, Mark J. PANAGGIO, Matt KINSEY, Luke C. MULLANY, Kaitlin RAINWATER-LOVETT, Lauren SHIN, Katharine TALLAKSEN, Shelby WILSON, Michael BRENNER, Marc CORAM, Jessie K. EDWARDS, Keya JOSHI, Ellen KLEIN, Juan Dent HULSE, Kyra H. GRANTZ, Alison L. HILL, Kathryn KAMINSKY, Joshua KAMINSKY, Lindsay T. KEEGAN, Stephen A. LAUER, Elizabeth C. LEE, Joseph C. LEMAITRE, Justin LESSLER, Hannah R. MEREDITH, Javier PEREZ-SAEZ, Shah SAM, Claire P. SMITH, Shaun A. TRUELOVE, Josh WILLS, Lauren GARDNER, Maximilian MARSHALL, Kristen NIXON, John C. BURANT, Jozef BUDZINSKI, Chiang WEN-HAO, George MOHLER, Junyi GAO, Lucas GLASS, Cheng QIAN, Justin ROMBERG, Rakshith SHARMA, Jeffrey SPAEDER, Jimeng SUN, Cao XIAO, Lei GAO, Zhiling GU, Myungjin KIM, Xinyi LI, Yueying WANG, Guannan WANG, Lily WANG, Yu SHAN, Chaman JAIN, Sangeeta BHATIA, Pierre NOUVELLET, Ryan BARBER, Emmanuela GAIKEDU, Simon HAY, Steve LIM, Chris MURRAY, David PIGOTT, Robert C. REINER, Prasith BACCAM, Heidi L. GURUNG, Steven A. STAGE, Bradley T. SUCHOSKI, Fong CHUNG-YAN, Yeung DIT-YAN, Bijaya ADHIKARI, Jiaming CUI, B. Aditya PRAKASH, Alexander RODRÍGUEZ, Anika TABASSUM, Jiajia XIE, John ASPLUND, Arden BAXTER, Pinar KESKINOCAK, Buse Eylul ORUC, Nicoleta SERBAN, Sercan O. ARIK, Mike DUSENBERRY, Arkady EPSHTEYN, Elli KANAL, Long T. LE, Li CHUN-LIANG, Tomas PFISTER, Rajarishi SINHA, Thomas TSAI, Nate YODER, Jinsung YOON, Leyou ZHANG, Daniel WILSON, Artur A. BELOV, Carson C. CHOW, Richard C. GERKIN, Osman N. YOGURTCU, Mark IBRAHIM, Timothee LACROIX, Matthew LE, Jason LIAO, Maximilian NICKEL, Levent SAGUN, Sam ABBOTT, Nikos I. BOSSE, Sebastian FUNK, Joel HELLEWELL, Sophie R. MEAKIN, Katharine SHERRATT, Rahi KALANTARI, Mingyuan ZHOU, Morteza KARIMZADEH, Benjamin LUCAS, Thoai NGO, Hamidreza ZORAGHEIN, Behzad VAHEDI, Zhongying WANG, Sen PEI, Jeffrey SHAMAN, Teresa K. YAMANA, Dimitris BERTSIMAS, Michael L. LI, Saksham SONI, Hamza Tazi BOUARDI, Madeline ADEE, Turgay AYER, Jagpreet CHHATWAL, Ozden O. DALGIC, Mary A. LADD, Benjamin P. LINAS, Peter MUELLER, Jade XIAO, Jurgen BOSCH, Austin WILSON, Peter ZIMMERMAN, Qinxia WANG, Yuanjia WANG, Shanghong XIE, Donglin ZENG, Jacob BIEN, Logan BROOKS, Alden GREEN, Addison J. HU, Maria JAHJA, Daniel MCDONALD, Balasubramanian NARASIMHAN, Collin POLITSCH, Samyak RAJANALA, Aaron RUMACK, Noah SIMON, Ryan J. TIBSHIRANI, Rob TIBSHIRANI, Valerie VENTURA, Larry WASSERMAN, John M. DRAKE, Eamon B. O’DEA, Yaser ABU-MOSTAFA, Rahil BATHWAL, Nicholas A. CHANG, Pavan CHITTA, Anne ERICKSON, Sumit GOEL, Jethin GOWDA, Qixuan JIN, HyeongChan JO, Juhyun KIM, Pranav KULKARNI, Samuel M. LUSHTAK, Ethan MANN, Max POPKEN, Connor SOOHOO, Kushal TIRUMALA, Albert TSENG, Vignesh VARADARAJAN, Jagath VYTHEESWARAN, Christopher WANG, Akshay YELURI, Dominic YURK, Michael ZHANG, Alexander ZLOKAPA, Robert PAGANO, Chandini JAIN, Vishal TOMAR, Ho LAM, Huong HUYNH, Quoc TRAN, Velma K. LOPEZ, Jo W. WALKER, Rachel B. SLAYTON, Michael A. JOHANSSON a Matthew BIGGERSTAFF

Vydání

Scientific Data, Nature Research, 2022, 2052-4463

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10103 Statistics and probability

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 9.800

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000834818500002

Klíčová slova anglicky

Computer science; Databases; Scientific data; Software; Viral infection

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 17. 10. 2024 10:46, Mgr. Marie Šípková, DiS.

Anotace

V originále

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.