Incorporating social determinants of health into transmission modeling of COVID-19 vaccine in the US: a scoping review

• Main Authors: Khanh N.C. Duong (Author), Danielle T. Nguyen (Author), Warittakorn Kategeaw (Author), Xi Liang (Author), Win Khaing (Author), Lindsay D. Visnovsky (Author), Sajesh K. Veettil (Author), Mary M. McFarland (Author), Richard E. Nelson (Author), Barbara E. Jones (Author), Andrew T. Pavia (Author), Emma Coates (Author), Karim Khader (Author), Jay Love (Author), George G. Vega Yon (Author), Yue Zhang (Author), Tina Willson (Author), Egenia Dorsan (Author), Damon J.A. Toth (Author), Makoto M. Jones (Author), Matthew H. Samore (Author), Nathorn Chaiyakunapruk (Author)
• Format: Book
• Published: Elsevier, 2024-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Summary: During COVID-19 in the US, social determinants of health (SDH) have driven health disparities. However, the use of SDH in COVID-19 vaccine modeling is unclear. This review aimed to summarize the current landscape of incorporating SDH into COVID-19 vaccine transmission modeling in the US. Me...