JASA
Jun 08, 2026
Development of Public Health Policy by Digital Twin Microsimulation and Q-learning: A COVID-19 Booster Case Study
Authors
Jian Kang
Guoxuan Ma
Sicong Xie
Lili Zhao
Research Topics
Computational Statistics
Paper Information
-
Journal:
Journal of the American Statistical Association -
DOI:
10.1080/01621459.2026.2682540 -
Published:
June 08, 2026 -
Added to Tracker:
Jun 09, 2026
Author Details
Jian Kang
AuthorGuoxuan Ma
AuthorSicong Xie
AuthorLili Zhao
AuthorResearch Topics & Keywords
Computational Statistics
Research AreaCitation Information
APA Format
Jian Kang
,
Guoxuan Ma
,
Sicong Xie
&
Lili Zhao
(2026)
.
Development of Public Health Policy by Digital Twin Microsimulation and Q-learning: A COVID-19 Booster Case Study.
Journal of the American Statistical Association
, 10.1080/01621459.2026.2682540.
BibTeX Format
@article{paper1213,
title = { Development of Public Health Policy by Digital Twin Microsimulation and Q-learning: A COVID-19 Booster Case Study },
author = {
Jian Kang
and Guoxuan Ma
and Sicong Xie
and Lili Zhao
},
journal = { Journal of the American Statistical Association },
year = { 2026 },
doi = { 10.1080/01621459.2026.2682540 },
url = { https://doi.org/10.1080/01621459.2026.2682540 }
}