COVID-19 vaccination policies under uncertain transmission characteristics using stochastic programming.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0270524 |