Anticipating U.S. Population-level Health Trends Based on Individual-level Dynamics to Inform Public Policy Decisions.

Yi, Zinan

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North Carolina State University

Anticipating U.S. Population-level Health Trends Based on Individual-level Dynamics to Inform Public Policy Decisions.

dc:creator Yi, Zinan

dc:date.issued2016

Abstract

dc:description

North Carolina State University Theses Operations Research.

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Yi, Zinan
Advisors dc:contributor.advisor: Maria Mayorga, Chair
Radmila Sazdanovic, Member
Javad Taheri, Member
Kristen Hassmiller Lich, Inter-Institutional
Radmila Sazdanovic, Graduate School Representative

Identifiers

dc:identifier.*

Dc Identifier Other: deg5458
OAI record oai:identifier: https://repository.lib.ncsu.edu/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Arepository.lib.ncsu.edu%3A1840.20%2F33357

Chain of custody

source

Harvested from: North Carolina State University
Base URL: repository.lib.ncsu.edu/server/oai/request
Last updated: 2026-08-21
Source record: OAI-PMH GetRecord

related terms

ncsu
2016

citation

Yi, Zinan. Anticipating U.S. Population-level Health Trends Based on Individual-level Dynamics to Inform Public Policy Decisions.. 2016. http://www.lib.ncsu.edu/resolver/1840.20/33357

Anticipating U.S. Population-level Health Trends Based on Individual-level Dynamics to Inform Public Policy Decisions.

Abstract

Author and committee

Identifiers

Chain of custody

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