📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Forecasting local COVID-19/Respiratory Disease mortality via national longitudinal shopping data: the case for integrating digital footprint data into early warning systems (2023)

First Author: Goulding J
Attributed to:  Diagnosing Disease with Shopping Data funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.23889/ijpds.v8i3.2290

Publication URI: http://dx.doi.org/10.23889/ijpds.v8i3.2290

Type: Journal Article/Review

Parent Publication: International Journal of Population Data Science

Issue: 3