المؤلفون: Addison J Hu, Sangwon Hyun, James Sharpnack, Nat DeFries, Daniel J. McDonald, Ryan J. Tibshirani, Natalia L. Oliveira, Alden Green, Robert Tibshirani, Valérie Ventura, Larry Wasserman, Jingjing Tang, Jacob Bien

المصدر: Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, vol 118, iss 51

مصطلحات موضوعية: medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Computer science, Bioengineering, forecasting, 01 natural sciences, 010104 statistics & probability, 03 medical and health sciences, Economic indicator, Models, Surveys and Questionnaires, 0502 economics and business, medicine, Econometrics, Health Status Indicators, Humans, 0101 mathematics, 050207 economics, 030304 developmental biology, 050205 econometrics, 0303 health sciences, Internet, Multidisciplinary, Models, Statistical, Public health, 05 social sciences, Statistics, COVID-19, Statistical, Medical insurance, United States, digital surveillance, 3. Good health, Ask price, Physical Sciences, Key (cryptography), Probabilistic forecasting, hotspot prediction, time series, Multiple view, Epidemiologic Methods

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4e51a6ded2641886f8d235b52bfaccf
https://pubmed.ncbi.nlm.nih.gov/34903655

المؤلفون: Alex Reinhart, Logan Brooks, Maria Jahja, Aaron Rumack, Jingjing Tang, Sumit Agrawal, Wael Al Saeed, Taylor Arnold, Amartya Basu, Jacob Bien, Ángel A. Cabrera, Andrew Chin, Eu Jing Chua, Brian Clark, Sarah Colquhoun, Nat DeFries, David C. Farrow, Jodi Forlizzi, Jed Grabman, Samuel Gratzl, Alden Green, George Haff, Robin Han, Kate Harwood, Addison J. Hu, Raphael Hyde, Sangwon Hyun, Ananya Joshi, Jimi Kim, Andrew Kuznetsov, Wichada La Motte-Kerr, Yeon Jin Lee, Kenneth Lee, Zachary C. Lipton, Michael X. Liu, Lester Mackey, Kathryn Mazaitis, Daniel J. McDonald, Phillip McGuinness, Balasubramanian Narasimhan, Michael P. O’Brien, Natalia L. Oliveira, Pratik Patil, Adam Perer, Collin A. Politsch, Samyak Rajanala, Dawn Rucker, Chris Scott, Nigam H. Shah, Vishnu Shankar, James Sharpnack, Dmitry Shemetov, Noah Simon, Benjamin Y. Smith, Vishakha Srivastava, Shuyi Tan, Robert Tibshirani, Elena Tuzhilina, Ana Karina Van Nortwick, Valérie Ventura, Larry Wasserman, Benjamin Weaver, Jeremy C. Weiss, Spencer Whitman, Kristin Williams, Roni Rosenfeld, Ryan J. Tibshirani

المصدر: Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, vol 118, iss 51

مصطلحات موضوعية: medicine.medical_specialty, Medical Sciences, Databases, Factual, Coronavirus disease 2019 (COVID-19), Computer science, Physical Distancing, open data, Bioengineering, medical insurance claims, Databases, Software, Public health surveillance, Phone, Surveys and Questionnaires, Claims data, Ambulatory Care, medicine, Health Status Indicators, Humans, Factual, computer.programming_language, Internet, Travel, Multidisciplinary, business.industry, Public health, COVID-19, Biological Sciences, Python (programming language), Data science, digital surveillance, United States, internet surveys, The Internet, Epidemiologic Methods, business, computer

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07f48f7101edf7a1872601726a2305dd
https://doi.org/10.1101/2021.07.12.21259660