HPR36 Using Best-Worst Scaling to Identify the Important Barriers to COVID-19 Vaccination in Black Belt Region: A Pilot Study

Detalles Bibliográficos
Autores principales: Yang, H, Poudel, N, Simpson, S, Chou, C, Ngorsuraches, S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Inc. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9232803/
http://dx.doi.org/10.1016/j.jval.2022.04.962
_version_ 1784735677113434112
author Yang, H
Poudel, N
Simpson, S
Chou, C
Ngorsuraches, S
author_facet Yang, H
Poudel, N
Simpson, S
Chou, C
Ngorsuraches, S
author_sort Yang, H
collection PubMed
description
format Online
Article
Text
id pubmed-9232803
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Published by Elsevier Inc.
record_format MEDLINE/PubMed
spelling pubmed-92328032022-06-27 HPR36 Using Best-Worst Scaling to Identify the Important Barriers to COVID-19 Vaccination in Black Belt Region: A Pilot Study Yang, H Poudel, N Simpson, S Chou, C Ngorsuraches, S Value Health Article Published by Elsevier Inc. 2022-07 2022-06-25 /pmc/articles/PMC9232803/ http://dx.doi.org/10.1016/j.jval.2022.04.962 Text en Copyright © 2022 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Yang, H
Poudel, N
Simpson, S
Chou, C
Ngorsuraches, S
HPR36 Using Best-Worst Scaling to Identify the Important Barriers to COVID-19 Vaccination in Black Belt Region: A Pilot Study
title HPR36 Using Best-Worst Scaling to Identify the Important Barriers to COVID-19 Vaccination in Black Belt Region: A Pilot Study
title_full HPR36 Using Best-Worst Scaling to Identify the Important Barriers to COVID-19 Vaccination in Black Belt Region: A Pilot Study
title_fullStr HPR36 Using Best-Worst Scaling to Identify the Important Barriers to COVID-19 Vaccination in Black Belt Region: A Pilot Study
title_full_unstemmed HPR36 Using Best-Worst Scaling to Identify the Important Barriers to COVID-19 Vaccination in Black Belt Region: A Pilot Study
title_short HPR36 Using Best-Worst Scaling to Identify the Important Barriers to COVID-19 Vaccination in Black Belt Region: A Pilot Study
title_sort hpr36 using best-worst scaling to identify the important barriers to covid-19 vaccination in black belt region: a pilot study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9232803/
http://dx.doi.org/10.1016/j.jval.2022.04.962
work_keys_str_mv AT yangh hpr36usingbestworstscalingtoidentifytheimportantbarrierstocovid19vaccinationinblackbeltregionapilotstudy
AT poudeln hpr36usingbestworstscalingtoidentifytheimportantbarrierstocovid19vaccinationinblackbeltregionapilotstudy
AT simpsons hpr36usingbestworstscalingtoidentifytheimportantbarrierstocovid19vaccinationinblackbeltregionapilotstudy
AT chouc hpr36usingbestworstscalingtoidentifytheimportantbarrierstocovid19vaccinationinblackbeltregionapilotstudy
AT ngorsurachess hpr36usingbestworstscalingtoidentifytheimportantbarrierstocovid19vaccinationinblackbeltregionapilotstudy

Ejemplares similares