Literature DB >> 26776467

Analysis of public concerns about influenza vaccinations by mining a massive online question dataset in Japan.

Nobutoshi Nawa1, Shigetoyo Kogaki2, Kunihiko Takahashi2, Hidekazu Ishida2, Hiroki Baden2, Shinichi Katsuragi2, Jun Narita2, Keiko Tanaka-Taya3, Keiichi Ozono2.   

Abstract

BACKGROUND: Elucidating public concerns regarding vaccinations is important for successful immunization programs. The objective of the present study was to categorize public concerns regarding influenza vaccinations in Japan by analyzing a massive web-based question dataset.
METHODS: The Yahoo! Chiebukuro (Japanese Yahoo! Answers) Dataset, which includes more than 16 million questions collected between April 2004 and April 2009, was used in this study. We sequentially filtered data to obtain questions on influenza vaccinations. Any questions that met our exclusion criteria concerning veterinary vaccines or computer virus vaccines were removed from the analysis. Filtered questions and their answers were manually analyzed for their content by a team of board-certified pediatricians.
RESULTS: After filtering data, we obtained 1950 questions regarding influenza vaccinations. The three most frequently asked questions were regarding the vaccination schedule, safety, and effectiveness. When we analyzed monthly trends in question contents, we noted the emergence of similar questions in the same period every year. Therefore, we classified the time periods of each year into three parts: (1) from April to the commencement of seasonal influenza vaccinations (September), (2) from October until the epidemic period, and (3) the epidemic period. Two interesting results were obtained: concerns regarding effectiveness abruptly increased during the epidemic period, and pregnant or breastfeeding women increasingly asked questions regarding feasibility between October and the epidemic period.
CONCLUSIONS: The questions and concerns collected and analyzed in this study illustrate that the public have questions about the influenza vaccine and also that questions changed with periodical consistency. These results highlight the possible usefulness of providing the public with the latest and correct information to their questions in a timely manner, for example via an official health website.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Big data; Influenza vaccinations; Public concern; Vaccination coverage; Vaccine confidence

Mesh:

Substances:

Year:  2016        PMID: 26776467     DOI: 10.1016/j.vaccine.2016.01.008

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  10 in total

1.  An infodemiological investigation of the so-called "Fluad effect" during the 2014/2015 influenza vaccination campaign in Italy: Ethical and historical implications.

Authors:  Naim Mahroum; Abdulla Watad; Roberto Rosselli; Francesco Brigo; Valentina Chiesa; Anna Siri; Dana Ben-Ami Shor; Mariano Martini; Nicola Luigi Bragazzi; Mohammad Adawi
Journal:  Hum Vaccin Immunother       Date:  2018-02-15       Impact factor: 3.452

2.  Maternal influenza vaccination relates to receiving relevant information among pregnant women in Japan.

Authors:  Aiko Shono; Shu-Ling Hoshi; Masahide Kondo
Journal:  Hum Vaccin Immunother       Date:  2019-12-18       Impact factor: 3.452

3.  Are social inequalities in influenza vaccination coverage in Japan reduced by health policy?

Authors:  Tselmuun Chinzorig; Kemmyo Sugiyama; Jun Aida; Toru Tsuboya; Ken Osaka
Journal:  Prev Med Rep       Date:  2019-07-25

4.  Qualitative evidence synthesis of values and preferences to inform infant feeding in the context of non-HIV transmission risk.

Authors:  Christopher Carroll; Andrew Booth; Fiona Campbell; Clare Relton
Journal:  PLoS One       Date:  2020-12-01       Impact factor: 3.240

5.  Willingness to Receive COVID-19 Vaccination in Japan.

Authors:  Takeshi Yoda; Hironobu Katsuyama
Journal:  Vaccines (Basel)       Date:  2021-01-14

Review 6.  Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review.

Authors:  Emilie Karafillakis; Sam Martin; Clarissa Simas; Kate Olsson; Judit Takacs; Sara Dada; Heidi Jane Larson
Journal:  JMIR Public Health Surveill       Date:  2021-02-08

7.  Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis.

Authors:  Li Crystal Jiang; Tsz Hang Chu; Mengru Sun
Journal:  JMIR Infodemiology       Date:  2021-09-14

8.  Changes of the Public Attitudes of China to Domestic COVID-19 Vaccination After the Vaccines Were Approved: A Semantic Network and Sentiment Analysis Based on Sina Weibo Texts.

Authors:  Hao Gao; Difan Guo; Jing Wu; Qingting Zhao; Lina Li
Journal:  Front Public Health       Date:  2021-11-11

9.  Willingness to Receive the COVID-19 Vaccination and the Psychological State of Japanese University Students: A Cross-Sectional Study.

Authors:  Shogo Tsutsumi; Noriaki Maeda; Tsubasa Tashiro; Satoshi Arima; Rami Mizuta; Kazuki Fukui; Koichi Naito; Makoto Komiya; Yukio Urabe
Journal:  Int J Environ Res Public Health       Date:  2022-01-31       Impact factor: 3.390

10.  Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China.

Authors:  Feng Hu; Liping Qiu; Wei Xia; Chi-Fang Liu; Xun Xi; Shuang Zhao; Jiaao Yu; Shaobin Wei; Xiao Hu; Ning Su; Tianyu Hu; Haiyan Zhou; Zhuang Jin
Journal:  Front Public Health       Date:  2022-07-26
  10 in total

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