학술논문
Survey data and human computation for improved flu tracking
Document Type
article
Author
Source
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
Subject
Language
English
ISSN
2041-1723
Abstract
Digital trace data from search engines lacks information about the experiences of the individuals generating the data. Here the authors link search data and human computation to build a tracking model of influenza-like illness.