Open access
2,729
Views
5
CrossRef citations to date
0
Altmetric
Research Paper
Understanding confidence in the human papillomavirus vaccine in Japan: a web-based survey of mothers, female adolescents, and healthcare professionals
Michiko Shutoa Medical Affairs, MSD K.K., Kitanomaru Square, Chiyoda, Tokyo, JapanCorrespondence[email protected]
https://orcid.org/0000-0002-5657-0577View further author information
Youngju Kima Medical Affairs, MSD K.K., Kitanomaru Square, Chiyoda, Tokyo, JapanView further author information
, Kotoba Okuyamaa Medical Affairs, MSD K.K., Kitanomaru Square, Chiyoda, Tokyo, JapanView further author information
, Kazunobu Ouchib Department of Pediatrics, Kawasaki Medical School, Kurashiki, JapanView further author information
, Hideo Ueichic Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Japan
https://orcid.org/0000-0001-8096-5301View further author information
Chimeremma Nnadid Merck Sharp & Dohme Corp., A Subsidiary of Merck & Co., Inc., Kenilworth, NJ, USAView further author information
, Heidi J. Larsone Department of Infectious Disease Epidemiology, LSHTM, London, UK;f Department of Health Metrics Sciences, University of Washington, Seattle, WA, USAView further author information
, Gonzalo Perezg Department of Clinical Research, Universidad del Rosario, Sede Quinta Mutis, Bogotá, ColombiaView further author information
& Shin Sasakia Medical Affairs, MSD K.K., Kitanomaru Square, Chiyoda, Tokyo, JapanView further author information
show all
Pages 3102-3112
|
Received 22 Dec 2020, Accepted 12 Apr 2021, Published online: 01 Jun 2021
Reprints and Permissions
This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, reproduction in any medium, provided the original work is properly cited.
You are not required to obtain permission to reuse this article in part or whole.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.