Revealing spatiotemporal transmission patterns and stages of COVID-19 in China using individual patients' trajectory data (2021)
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1007/s43762-021-00009-8
Publication URI: http://dx.doi.org/10.1007/s43762-021-00009-8
Type: Journal Article/Review
Parent Publication: Computational Urban Science
Issue: 1