TABLE 2.
Comparison of Demographic and Travel Characteristics of Business, Leisure, and Those Visiting Friends and Relatives (VFR) Travelers Seen for Pre-Travel Health Consultation in the Global TravEpiNet Consortium (n = 18,460)
| Business | Leisure | VFR | |
| Total (n, row %) | 4,174 (23) | 13,095 (71) | 1,191 (6) |
| Age in years (median, range)* | 41 (18–86) | 46 (18–92) | 41 (18–93) |
| Gender (column %)† | |||
| Women | 1,608 (39) | 7,412 (57) | 684 (57) |
| Men | 2,566 (61) | 5,683 (43) | 507 (43) |
| Country of birth (column %)‡,§ | |||
| United States | 3,595 (86) | 11,894 (91) | 55 (5) |
| Non-US | 579 (14) | 1,201 (9) | 1,136 (95) |
| Number of destination countries (column %) | |||
| 1 | 3,344 (80) | 8,710 (67) | 1,140 (96) |
| >2 | 830 (20) | 4,385 (33) | 51 (4) |
| Top three destinations (column %) | |||
| India 1,513 (24) | South Africa 1,550 (7) | Ghana 167 (14) | |
| China 419 (7) | India 1,472 (7) | Ethiopia 144 (12) | |
| South Africa 238 (4) | Thailand 1,326 (6) | Nigeria 102 (8) | |
| Type of accommodation (column %)||,¶ | |||
| Hotel | 3,765 (82) | 11,140 (60) | 152 (11) |
| Home stay with relatives | 33 (1) | 992 (5) | 1,110 (83) |
| Dormitory or hostel | 183 (4) | 1,187 (6) | 7 (1) |
| Home stay with non- relatives | 145 (3) | 1,341 (7) | 52 (4) |
| Personal home/apartments | 248 (5) | 313 (2) | 6 (<1) |
| Other | 200 (5) | 4,034 (21) | 15 (2) |
| Reason for visiting clinic (column %)||,¶ | |||
| Concerned about health issues related to travel | 927 (25) | 4,428 (40) | 526 (49) |
| Primary care provider referred | 494 (13) | 2,223 (20) | 170 (16) |
| Family member or friend suggested | 203 (5) | 1,817 (16) | 158 (15) |
| Employer suggested to make an appointment | 1,938 (52) | 105 (1) | 13 (1) |
| Read information on internet | 281 (8) | 1,479 (13) | 60 (6) |
| Travel agent suggested to make an appointment | 81 (2) | 750 (7) | 18 (2) |
| Saw a public health announcement | 32 (1) | 107 (1) | 7 (1) |
| Median time to departure in days (range)#,** | 15 (0–460) | 29 (0–564) | 14 (0–383) |
| Median duration of travel in days†† | 10 (0–1655) | 14 (0–1421) | 30 (0–999) |
*Business vs leisure P < 0.0001; business vs VFR P = 0.9956 (Kruskal-Wallis).
†Business vs leisure P < 0.0001; business vs VFR P < 0.0001 (random intercept models).
‡US born = born in the 50 US states or US Virgin Islands.
§Business vs leisure P < 0.0001 (random intercept models). VFRs were excluded from this analysis as they were defined by country of birth.
||Percentages may not add up to 100% due to rounding.
¶Multiple responses possible.
#Time to departure = (departure date − clinic visit date).
**Business vs leisure P < 0.0001; business vs VFR P = 0.05 (Kruskal-Wallis).
††Business vs leisure P < 0.0001; business vs VFR P < 0.0001 (Kruskal-Wallis).