COVID-19 vaccination policies under uncertain transmission characteristics using stochastic programming.

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Bibliographic Details
Title: COVID-19 vaccination policies under uncertain transmission characteristics using stochastic programming.
Authors: Gujjula KR; Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, Texas, United States of America., Gong J; Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, Texas, United States of America., Segundo B; Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, Texas, United States of America., Ntaimo L; Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, Texas, United States of America.
Source: PloS one [PLoS One] 2022 Jul 22; Vol. 17 (7), pp. e0270524. Date of Electronic Publication: 2022 Jul 22 (Print Publication: 2022).
Publication Type: Journal Article
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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ISSN:1932-6203
DOI:10.1371/journal.pone.0270524