The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong.
Saved in:
| Title: | The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong. |
|---|---|
| Authors: | Alshaabi T; Vermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.; Computational Story Lab, University of Vermont, Burlington, VT, United States of America.; Department of Computer Science, University of Vermont, Burlington, VT, United States of America., Dewhurst DR; Vermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.; Computational Story Lab, University of Vermont, Burlington, VT, United States of America.; Charles River Analytics, Cambridge, MA, United States of America., Bagrow JP; Vermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.; Department of Mathematics & Statistics, University of Vermont, Burlington, VT, United States of America., Dodds PS; Vermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.; Computational Story Lab, University of Vermont, Burlington, VT, United States of America.; Department of Computer Science, University of Vermont, Burlington, VT, United States of America., Danforth CM; Vermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.; Computational Story Lab, University of Vermont, Burlington, VT, United States of America.; Department of Mathematics & Statistics, University of Vermont, Burlington, VT, United States of America. |
| Source: | PloS one [PLoS One] 2021 Mar 24; Vol. 16 (3), pp. e0247795. Date of Electronic Publication: 2021 Mar 24 (Print Publication: 2021). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
