Table 3.
Participants’ use of information sources of COVID-19.
| Group 1 |
Group 2 |
Group 3 |
Total |
|
|---|---|---|---|---|
| N (% in column) = 16,481 (55.48%) | N (% in column) = 9603 (32.32%) | N (% in column) = 3624 (12.20%) | N = 29,708 | |
| From what sources do you get information about COVID-19? (MA) | ||||
| Healthcare workers | 2040 (12.38) | 1429 (14.88) | 708 (19.54) | 4177 (14.06) |
| Physicians | 1717 (10.42) | 1114 (11.60) | 598 (16.50) | 3429 (11.54) |
| Nurses | 592 (3.59) | 469 (4.88) | 226 (6.24) | 1287 (4.33) |
| Pharmacists | 272 (1.65) | 204 (2.12) | 109 (3.01) | 585 (1.97) |
| Veterinarians | 20 (0.12) | 27 (0.28) | 17 (0.47) | 64 (0.22) |
| Dentists | 155 (0.94) | 93 (0.97) | 53 (1.46) | 301 (1.01) |
| Health fairs and events | 107 (0.65) | 99 (1.03) | 51 (1.41) | 257 (0.87) |
| Books and magazines | 928 (5.63) | 622 (6.48) | 253 (6.98) | 1803 (6.07) |
| Books | 371 (2.25) | 307 (3.20) | 124 (3.42) | 802 (2.70) |
| Magazines | 752 (4.56) | 474 (4.94) | 197 (5.44) | 1423 (4.79) |
| Scientific literature | 182 (1.10) | 151 (1.57) | 64 (1.77) | 397 (1.34) |
| Television, radio and newspaper | 14,390 (87.31) | 7984 (83.14) | 3044 (84.00) | 25,418 (85.56) |
| Television | 13,852 (84.05) | 7639 (79.55) | 2922 (80.63) | 24,413 (82.18) |
| Radio | 2018 (12.24) | 1153 (12.01) | 511 (14.10) | 3682 (12.39) |
| Newspapers | 6417 (38.94) | 2931 (30.52) | 1249 (34.46) | 10,597 (35.67) |
| The Internet | 9785 (59.37) | 5615 (58.47) | 1969 (54.33) | 17,369 (58.47) |
| Internet news sites | 9109 (55.27) | 5054 (52.63) | 1793 (49.48) | 15,956 (53.71) |
| Search engines (Google, Yahoo, etc.) | 3366 (20.42) | 2230 (23.22) | 772 (21.30) | 6368 (21.44) |
| SNS | 2611 (15.84) | 1845 (19.21) | 595 (16.42) | 5051 (17.00) |
| LINE | 1093 (6.63) | 752 (7.83) | 261 (7.20) | 2106 (7.09) |
| 304 (1.84) | 201 (2.09) | 95 (2.62) | 600 (2.02) | |
| 1107 (6.72) | 970 (10.10) | 282 (7.78) | 2359 (7.94) | |
| 154 (0.93) | 202 (2.10) | 66 (1.82) | 422 (1.42) | |
| YouTube | 857 (5.20) | 550 (5.73) | 192 (5.30) | 1599 (5.38) |
| Tik Tok | 45 (0.27) | 37 (0.39) | 24 (0.66) | 106 (0.36) |
| Medical information sites | 334 (2.03) | 296 (3.08) | 118 (3.26) | 748 (2.52) |
| Blogs or web pages of celebrities and famous people | 295 (1.79) | 201 (2.09) | 68 (1.88) | 564 (1.90) |
| Governments | 5894 (35.76) | 2921 (30.42) | 1198 (33.06) | 10,013 (33.70) |
| Local authorities such as prefectures and municipalities | 5151 (31.25) | 2459 (25.61) | 1034 (28.53) | 8644 (29.10) |
| Government | 3136 (19.03) | 1673 (17.42) | 652 (17.99) | 5461 (18.38) |
| Medical task-force advising the government, known as the Novel Coronavirus Expert Meeting (re-established as Novel Coronavirus Infectious Disease Control Subcommittee in July 2020) | 1428 (8.66) | 724 (7.54) | 300 (8.28) | 2452 (8.25) |
| Family and friends | 3824 (23.20) | 1824 (18.99) | 759 (20.94) | 6407 (21.57) |
| Friends | 2186 (13.26) | 1154 (12.02) | 450 (12.42) | 3790 (12.76) |
| Family members | 3159 (19.17) | 1516 (15.79) | 629 (17.36) | 5304 (17.85) |
| Researchers | 525 (3.19) | 313 (3.26) | 136 (3.75) | 974 (3.28) |
| Scientists and researchers | 450 (2.73) | 250 (2.60) | 111 (3.06) | 811 (2.73) |
| Pharmaceutical companies | 140 (0.85) | 107 (1.11) | 51 (1.41) | 298 (1.00) |
| Other companies | 406 (2.46) | 211 (2.20) | 118 (3.26) | 735 (2.47) |
MA: Multiple answer, SNS: Social networking services.