Forecasting rare disease outbreaks from open source indicators

DOI10.1002/sam.11337OpenAlexW2600860262WikidataQ115150343 ScholiaQ115150343MaRDI QIDQ4970376

Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, Lise Getoor, Naren Ramakrishnan, John S. Brownstein, Theodoros Rekatsinas

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11337

zbMATH Keywords

data integrationtopic modelsmultiple sourcesforecasting outbreaksspatiotemporal topic models

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

This page was built for publication: Forecasting rare disease outbreaks from open source indicators