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. 2021 Mar 9;23(3):e24673. doi: 10.2196/24673

Table 2.

Perceptions related to COVID-19 vaccination and preventive measures taken up by participants and the factories they were working in (N=2053).

Perceptions Participants, n (%) Mean (SD)
Behavioral intention to take up COVID-19 vaccination

Intention to get COVID-19 vaccines conditional on 50% efficacy and market rate (¥1000 or US $140)
N/Aa


Very unlikely 222 (10.8)


Unlikely 208 (10.1)


Neutral 524 (25.5)


Likely 543 (26.4)


Very likely 556 (27.1)

Intention to get COVID-19 vaccines conditional on 80% efficacy and market rate (¥1000 or US $140)
N/A


Very unlikely 155 (7.5)


Unlikely 147 (7.2)


Neutral 383 (18.7)


Likely 639 (31.1)


Very likely 729 (35.5)

Intention to get COVID-19 vaccines conditional on 50% efficacy and free vaccines
N/A


Very unlikely 108 (5.3)


Unlikely 98 (4.8)


Neutral 296 (14.4)


Likely 453 (22.1)


Very likely 1098 (53.5)

Intention to get COVID-19 vaccines conditional on 80% efficacy and free vaccines
N/A


Very unlikely 117 (5.7)


Unlikely 77 (3.8)


Neutral 204 (9.9)


Likely 320 (15.6)


Very likely 1335 (65.0)
Perceptions related to COVID-19 vaccination based on the theory of planned behavior

Positive attitudes toward COVID-19 vaccination N/A


Positive Attitude Scaleb
13.3 (2.3)

Negative attitudes toward COVID-19 vaccination N/A


Negative Attitude Scalec
8.0 (1.9)

Perceived subjective norm related to COVID-19 vaccination N/A


Perceived Subjective Norm Scaled
5.1 (1.2)

Perceived behavioral control to receive COVID-19 vaccination N/A


Receiving COVID-19 vaccination is easy for you if you want to
2.3 (0.7)
Influence of social media related to COVID-19 vaccination

Frequency of exposure to positive information related to COVID-19 vaccination (eg, new vaccines entering clinical trials, promising efficacies of the vaccines, and vaccines will enter the market soon) on social media N/A 2.8 (1.0)

Frequency of exposure to negative information related to COVID-19 vaccination (eg, concerns about efficacies and supplies, side effects of the vaccines, and receiving vaccines will cause COVID-19) on social media N/A 2.3 (0.9)

Frequency of exposure to testimonials given by participants of the COVID-19 vaccine clinical trials on social media N/A 1.9 (1.0)

Frequency of exposure to negative information about other vaccines in China (eg, selling problematic vaccines and severe side effects) on social media N/A 2.0 (1.0)
Personal COVID-19 preventive measures in the past month

Frequency of wearing a face mask in public places/transportation other than the workplace
N/A


Every time 1675 (81.6)


Often 280 (13.6)


Sometimes 82 (4.0)


Never 16 (0.8)

Frequency of wearing a face mask when you have close contact with other people in the workplace
N/A


Every time 1519 (74.0)


Often 370 (18.0)


Sometimes 144 (7.0)


Never 20 (1.0)

Self-reported sanitizing hands (using soaps, liquid soaps, or alcohol-based sanitizer) after returning from public spaces or touching public installation
N/A


Every time 1217 (59.3)


Often 495 (24.1)


Sometimes 323 (15.7)


Never 18 (0.9)

Self-reported avoiding social gatherings with other people who do not live together
N/A


No 1165 (56.7)


Yes 888 (43.3)

Self-reported avoiding crowded places
N/A


No 1309 (63.8)


Yes 744 (36.2)
Number of preventive measures implemented by the factory N/A 6.1 (2.5)

aN/A: not applicable.

bPositive Attitude Scale, 5 items, Cronbach alpha: .84; 1 factor was identified by exploratory factor analysis, explaining for 54.0% of total variance.

cNegative Attitude Scale, 4 items, Cronbach alpha: .67; 1 factor was identified by exploratory factor analysis, explaining for 50.9% of total variance.

dPerceived Subjective Norm Scale, 2 items, Cronbach alpha: .85.