Metraipolis › archive › dc_8a84d08cb2cc

Exploring the correlates of COVID-19 vaccination inequity: a global analysis using machine learning from a health economic lens — Europe PMC PMID:42148449

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/42148449
DOI: 10.3389/frhs.2026.1774077
License (as archived): solo-consultazione
Archived: 2026-11-02T19:50:48.525Z
SHA-256 of the archived text: b10f3292d7353f7fb5cc3c26d86bde3f2d0ebfcf4015bf5c4e36281acd611a3c
Stable URL of this page: https://metraipolis.com/documento/dc_8a84d08cb2cc

How to cite

Exploring the correlates of COVID-19 vaccination inequity: a global analysis using machine learning from a health economic lens — Europe PMC PMID:42148449 — Europe PMC (en), https://europepmc.org/article/MED/42148449 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_8a84d08cb2cc (Metraipolis archive dc_8a84d08cb2cc, sha256 b10f3292d7353f7fb5cc3c26d86bde3f2d0ebfcf4015bf5c4e36281acd611a3c)

BibTeX

@misc{dc8a84d08cb2cc,
  title = {Exploring the correlates of COVID-19 vaccination inequity: a global analysis using machine learning from a health economic lens — Europe PMC PMID:42148449},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/42148449},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_8a84d08cb2cc; sha256 b10f3292d7353f7fb5cc3c26d86bde3f2d0ebfcf4015bf5c4e36281acd611a3c},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/42148449. Agents can read the archived copy with the MCP tool read_document.