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
PubMed Identifier: 34766167
Publication URI: http://europepmc.org/abstract/MED/34766167
Type: Journal Article/Review
Parent Publication: Computational Urban Science
Issue: 1
ISSN: 2730-6852