Identifying spatiotemporal patterns of COVID-19 transmissions and the drivers of the patterns in Toronto: a Bayesian hierarchical spatiotemporal modelling
Crossref DOI link: https://doi.org/10.1038/s41598-022-13403-x
Published Online: 2022-06-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Nazia, Nushrat
Law, Jane
Butt, Zahid Ahmad
Text and Data Mining valid from 2022-06-07
Version of Record valid from 2022-06-07
Article History
Received: 5 March 2022
Accepted: 24 May 2022
First Online: 7 June 2022
Competing interests
: The authors declare no competing interests.