Ontology highlight
ABSTRACT:
SUBMITTER: Johansson MA
PROVIDER: S-EPMC6883829 | biostudies-literature | 2019 Nov
REPOSITORIES: biostudies-literature
Johansson Michael A MA Apfeldorf Karyn M KM Dobson Scott S Devita Jason J Buczak Anna L AL Baugher Benjamin B Moniz Linda J LJ Bagley Thomas T Babin Steven M SM Guven Erhan E Yamana Teresa K TK Shaman Jeffrey J Moschou Terry T Lothian Nick N Lane Aaron A Osborne Grant G Jiang Gao G Brooks Logan C LC Farrow David C DC Hyun Sangwon S Tibshirani Ryan J RJ Rosenfeld Roni R Lessler Justin J Reich Nicholas G NG Cummings Derek A T DAT Lauer Stephen A SA Moore Sean M SM Clapham Hannah E HE Lowe Rachel R Bailey Trevor C TC García-Díez Markel M Carvalho Marilia Sá MS Rodó Xavier X Sardar Tridip T Paul Richard R Ray Evan L EL Sakrejda Krzysztof K Brown Alexandria C AC Meng Xi X Osoba Osonde O Vardavas Raffaele R Manheim David D Moore Melinda M Rao Dhananjai M DM Porco Travis C TC Ackley Sarah S Liu Fengchen F Worden Lee L Convertino Matteo M Liu Yang Y Reddy Abraham A Ortiz Eloy E Rivero Jorge J Brito Humberto H Juarrero Alicia A Johnson Leah R LR Gramacy Robert B RB Cohen Jeremy M JM Mordecai Erin A EA Murdock Courtney C CC Rohr Jason R JR Ryan Sadie J SJ Stewart-Ibarra Anna M AM Weikel Daniel P DP Jutla Antarpreet A Khan Rakibul R Poultney Marissa M Colwell Rita R RR Rivera-García Brenda B Barker Christopher M CM Bell Jesse E JE Biggerstaff Matthew M Swerdlow David D Mier-Y-Teran-Romero Luis L Forshey Brett M BM Trtanj Juli J Asher Jason J Clay Matt M Margolis Harold S HS Hebbeler Andrew M AM George Dylan D Chretien Jean-Paul JP
Proceedings of the National Academy of Sciences of the United States of America 20191111 48
A wide range of research has promised new tools for forecasting infectious disease dynamics, but little of that research is currently being applied in practice, because tools do not address key public health needs, do not produce probabilistic forecasts, have not been evaluated on external data, or do not provide sufficient forecast skill to be useful. We developed an open collaborative forecasting challenge to assess probabilistic forecasts for seasonal epidemics of dengue, a major global publi ...[more]