Pre-Impressions of the Third COVID-19 Vaccination among Medical Staff: A Text Mining-Based Survey
The aim of this study was to investigate the pre-impressions of the third Coronavirus disease 2019 (COVID-19) vaccination among Japanese medical staff using quantitative analysis. Among 413 medical staff, 260 (60 men and 200 women) aged 40.4 ± 12.3 years were enrolled in this cross-sectional study....
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Published in | Vaccines Vol. 10; no. 6; p. 856 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Basel
MDPI AG
26.05.2022
MDPI |
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Online Access | Get full text |
ISSN | 2076-393X 2076-393X |
DOI | 10.3390/vaccines10060856 |
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Abstract | The aim of this study was to investigate the pre-impressions of the third Coronavirus disease 2019 (COVID-19) vaccination among Japanese medical staff using quantitative analysis. Among 413 medical staff, 260 (60 men and 200 women) aged 40.4 ± 12.3 years were enrolled in this cross-sectional study. Pre-impressions of the third COVID-19 vaccination were analyzed using the text-mining analysis software, KH coder. Among 260 subjects, 242 (93.1%) agreed to the third vaccination, with the rate being lower among subjects in their 30s (87.3%) than those in the other age groups. The word “side effects” was characteristic of subjects in their 20s and nurses, and “pregnancy” of those in their 30s and administrative staff. Pre-impressions of the third COVID-19 vaccination varied among age groups and different professions. The results obtained provide useful information for promoting the third COVID-19 vaccination to Japanese adults. |
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AbstractList | The aim of this study was to investigate the pre-impressions of the third Coronavirus disease 2019 (COVID-19) vaccination among Japanese medical staff using quantitative analysis. Among 413 medical staff, 260 (60 men and 200 women) aged 40.4 ± 12.3 years were enrolled in this cross-sectional study. Pre-impressions of the third COVID-19 vaccination were analyzed using the text-mining analysis software, KH coder. Among 260 subjects, 242 (93.1%) agreed to the third vaccination, with the rate being lower among subjects in their 30s (87.3%) than those in the other age groups. The word “side effects” was characteristic of subjects in their 20s and nurses, and “pregnancy” of those in their 30s and administrative staff. Pre-impressions of the third COVID-19 vaccination varied among age groups and different professions. The results obtained provide useful information for promoting the third COVID-19 vaccination to Japanese adults. The aim of this study was to investigate the pre-impressions of the third Coronavirus disease 2019 (COVID-19) vaccination among Japanese medical staff using quantitative analysis. Among 413 medical staff, 260 (60 men and 200 women) aged 40.4 ± 12.3 years were enrolled in this cross-sectional study. Pre-impressions of the third COVID-19 vaccination were analyzed using the text-mining analysis software, KH coder. Among 260 subjects, 242 (93.1%) agreed to the third vaccination, with the rate being lower among subjects in their 30s (87.3%) than those in the other age groups. The word "side effects" was characteristic of subjects in their 20s and nurses, and "pregnancy" of those in their 30s and administrative staff. Pre-impressions of the third COVID-19 vaccination varied among age groups and different professions. The results obtained provide useful information for promoting the third COVID-19 vaccination to Japanese adults.The aim of this study was to investigate the pre-impressions of the third Coronavirus disease 2019 (COVID-19) vaccination among Japanese medical staff using quantitative analysis. Among 413 medical staff, 260 (60 men and 200 women) aged 40.4 ± 12.3 years were enrolled in this cross-sectional study. Pre-impressions of the third COVID-19 vaccination were analyzed using the text-mining analysis software, KH coder. Among 260 subjects, 242 (93.1%) agreed to the third vaccination, with the rate being lower among subjects in their 30s (87.3%) than those in the other age groups. The word "side effects" was characteristic of subjects in their 20s and nurses, and "pregnancy" of those in their 30s and administrative staff. Pre-impressions of the third COVID-19 vaccination varied among age groups and different professions. The results obtained provide useful information for promoting the third COVID-19 vaccination to Japanese adults. |
Author | Suzuki, Hiromi Okada, Setsuo Mori, Yuka Tanimoto, Kiyotaka Mori, Yoshiro Miyatake, Nobuyuki |
AuthorAffiliation | 1 Department of Hygiene, Faculty of Medicine, Kagawa University, Miki 761-0793, Japan; miyatake.nobuyuki@kagawa-u.ac.jp (N.M.); suzuki.hiromi@kagawa-u.ac.jp (H.S.) 2 Sakaide City Hospital, Sakaide 762-8550, Japan; hosp02@city.sakaide.lg.jp (S.O.); taka12ki05@gmail.com (K.T.) 3 Graduate School of Health Sciences, Tokushima University, Tokushima 770-8503, Japan; mogeko@hi.enjoy.ne.jp |
AuthorAffiliation_xml | – name: 2 Sakaide City Hospital, Sakaide 762-8550, Japan; hosp02@city.sakaide.lg.jp (S.O.); taka12ki05@gmail.com (K.T.) – name: 3 Graduate School of Health Sciences, Tokushima University, Tokushima 770-8503, Japan; mogeko@hi.enjoy.ne.jp – name: 1 Department of Hygiene, Faculty of Medicine, Kagawa University, Miki 761-0793, Japan; miyatake.nobuyuki@kagawa-u.ac.jp (N.M.); suzuki.hiromi@kagawa-u.ac.jp (H.S.) |
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Cites_doi | 10.1126/science.abn7760 10.3390/pharmacy9040167 10.1016/S0140-6736(18)30854-7 10.3390/vaccines9111282 10.3390/vaccines9111358 10.1001/jama.2022.2274 10.3390/vaccines10010068 10.3390/vaccines9030200 10.3390/vaccines9111286 10.3390/vaccines9050469 10.1001/jama.2021.24315 10.3390/v13030371 10.1016/j.vaccine.2021.11.097 10.3390/vaccines9111295 10.1038/s41591-021-01459-7 10.1186/1471-2393-14-19 |
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SubjectTerms | Age groups Communication Coronaviruses COVID-19 COVID-19 vaccines Data mining Disease transmission Hospitals Influenza Job titles Medical personnel Medicine Nurses Pregnancy Public health Questionnaires R Side effects Software text-mining third COVID-19 vaccination Underserved populations Vaccination Viral diseases |
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Title | Pre-Impressions of the Third COVID-19 Vaccination among Medical Staff: A Text Mining-Based Survey |
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