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Volume 10
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Communication

Pre-Impressions of the Third COVID-19 Vaccination among Medical Staff: A Text Mining-Based Survey

by
Yoshiro Mori
1,2,*,
Nobuyuki Miyatake
1,
Hiromi Suzuki
1,
Yuka Mori
3,
Setsuo Okada
2 and
Kiyotaka Tanimoto
2
1
Department of Hygiene, Faculty of Medicine, Kagawa University, Miki 761-0793, Japan
2
Sakaide City Hospital, Sakaide 762-8550, Japan
3
Graduate School of Health Sciences, Tokushima University, Tokushima 770-8503, Japan
*
Author to whom correspondence should be addressed.
Vaccines 2022, 10(6), 856; https://doi.org/10.3390/vaccines10060856
Submission received: 17 April 2022 / Revised: 23 May 2022 / Accepted: 25 May 2022 / Published: 26 May 2022
(This article belongs to the Special Issue Vaccination Strategies as We Face Another Year of the COVID-19 Pandemic)
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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.
Keywords: text-mining; COVID-19; pregnancy; side effects; third COVID-19 vaccination text-mining; COVID-19; pregnancy; side effects; third COVID-19 vaccination

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MDPI and ACS Style

Mori, Y.; Miyatake, N.; Suzuki, H.; Mori, Y.; Okada, S.; Tanimoto, K. Pre-Impressions of the Third COVID-19 Vaccination among Medical Staff: A Text Mining-Based Survey. Vaccines 2022, 10, 856. https://doi.org/10.3390/vaccines10060856

AMA Style

Mori Y, Miyatake N, Suzuki H, Mori Y, Okada S, Tanimoto K. Pre-Impressions of the Third COVID-19 Vaccination among Medical Staff: A Text Mining-Based Survey. Vaccines. 2022; 10(6):856. https://doi.org/10.3390/vaccines10060856

Chicago/Turabian Style

Mori, Yoshiro, Nobuyuki Miyatake, Hiromi Suzuki, Yuka Mori, Setsuo Okada, and Kiyotaka Tanimoto. 2022. "Pre-Impressions of the Third COVID-19 Vaccination among Medical Staff: A Text Mining-Based Survey" Vaccines 10, no. 6: 856. https://doi.org/10.3390/vaccines10060856

APA Style

Mori, Y., Miyatake, N., Suzuki, H., Mori, Y., Okada, S., & Tanimoto, K. (2022). Pre-Impressions of the Third COVID-19 Vaccination among Medical Staff: A Text Mining-Based Survey. Vaccines, 10(6), 856. https://doi.org/10.3390/vaccines10060856

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