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The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong.

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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
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2021 Mar 24; Vol. 16 (3), pp. e0247795. <i>Date of Electronic Publication: </i>2021 Mar 24 (<i>Print Publication: </i>2021).
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