| Literature DB >> 26479857 |
Nomana M Khan1, Emily S Jentes, Clive Brown, Pauline Han, Sowmya R Rao, Phyllis Kozarsky, Stefan H F Hagmann, Regina C LaRocque, Edward T Ryan.
Abstract
OBJECTIVES: The aim of the study was to understand more about pre-travel preparations and itineraries of business and occupational travelers.Entities:
Mesh:
Substances:
Year: 2016 PMID: 26479857 PMCID: PMC4697958 DOI: 10.1097/JOM.0000000000000602
Source DB: PubMed Journal: J Occup Environ Med ISSN: 1076-2752 Impact factor: 2.162
Demographic and Travel Characteristics of Occupational Travelers Seen for Pre-Travel Health Consultation in the Global TravEpiNet Consortium (n = 9,248)
| Business | Research/Education | Missionary | Non-Medical Service Work | Providing Medical Care | |
| Total ( | 4,174 (45) | 1,714 (19) | 1,249 (14) | 1,215 (13) | 896 (10) |
| Age (median, range) | 41 (18–86) | 24 (18–85) | 38 (18–80) | 22 (18–77) | 30 (18–77) |
| Gender (column %) | |||||
| Women | 1,608 (39) | 1082 (63) | 733 (59) | 804 (66) | 593 (66) |
| Men | 2,566 (61) | 632 (37) | 516 (41) | 411 (34) | 303 (34) |
| Country of birth (column %) | |||||
| United States | 3595 (86) | 1514 (88) | 1165 (93) | 1113 (92) | 788 (88) |
| Non-US | 579 (14) | 200 (12) | 84 (7) | 102 (8) | 108 (12) |
| Number of destination countries (column %) | |||||
| 1 | 3344 (80) | 1432 (84) | 1167 (93) | 1132 (93) | 849 (95) |
| >2 | 828 (20) | 282 (16) | 81 (7) | 83 (7) | 47 (5) |
| Top three destinations | |||||
| India 1,513 (24) | India 208 (9) | Haiti 216 (15) | Honduras 180 (14) | Haiti 193 (20) | |
| China 419 (7) | China 150 (7) | Kenya 127 (9) | Haiti 139 (11) | Honduras 86 (9) | |
| South Africa 238 (4) | Ghana 147 (6) | Honduras 62 (4) | Ghana 79 (6) | Ghana 83 (9) | |
| Type of accommodation (column %) | |||||
| Hotel | 3,765 (82) | 934 (43) | 549 (35) | 423 (28) | 424 (40) |
| Home stay with relatives | 33 (1) | 23 (1) | 12 (1) | 13 (1) | 3 (<1) |
| Dormitory or hostel | 183 (4) | 639 (29) | 353 (23) | 521 (34) | 345 (32) |
| Home stay with non- relatives | 145 (3) | 367 (17) | 254 (16) | 234 (15) | 87 (8) |
| Personal home/apartments | 248 (5) | 171(8) | 193 (12) | 116 (8) | 64 (6) |
| Other | 200 (5) | 60 (2) | 197 (14) | 215 (14) | 148 (15) |
| Reason for visiting clinic (column %) | |||||
| Concerned about health issues related to travel | 927 (25) | 479 (32) | 457 (39) | 380 (35) | 254 (32) |
| Primary care provider referred | 494 (13) | 228 (15) | 209 (18) | 110 (10) | 63 (8) |
| Family member/friend suggested | 203 (5) | 210 (14) | 267 (23) | 158 (14) | 57 (7) |
| Employer suggested to make an appointment | 1938 (52) | 253 (17) | 65 (6) | 60 (5) | 156 (20) |
| Read information on internet | 281 (8) | 169 (11) | 144 (12) | 77 (7) | 66 (8) |
| Travel agent suggested | 81 (2) | 72 (5) | 60 (5) | 57 (5) | 23 (3) |
| Saw a public health announcement | 32 (1) | 19 (1) | 4 (<1) | 4 (<1) | 5 (1) |
| Median time to departure in days (range) | 15 (0–460) | 26 (0–468) | 33 (0–366) | 32 (0–404) | 25 (0–782) |
| Median duration of travel in days (range) | 10 (0–1655) | 24 (4–2011) | 11 (1–1900) | 13 (0–1620) | 10 (2–2190) |
*US born = born in the 50 US states or US Virgin Islands.
†Percentages may not add up to 100% due to rounding.
‡Multiple responses possible.
§“Other” includes camp, cruise, lodge, boat, tree houses, cabin, and bed and breakfasts.
||Time to departure = (departure date − clinic visit date).
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 ( | 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).
FIGURE 1Pre-existing immunity and vaccination of travelers in Global TravEpiNet, by purpose of travel. HA, hepatitis A; HB, hepatitis B; I, influenza; JE, Japanese encephalitis; M, meningococcal; MMR, measles, mumps, rubella; P, polio; R, rabies; Tt, tetanus (includes Td and Tdap); Ty, typhoid; V, varicella; YF, yellow fever. ∗Percentages may not add up to 100% due to rounding errors.
FIGURE 2Reasons for not vaccinating in the pre-travel visit for business, leisure and VFR travelers in Global TravEpiNet, by purpose of travel. HA, hepatitis A; HB, hepatitis B; I, influenza; JE, Japanese encephalitis; M, meningococcal; MMR, measles, mumps, rubella; P, polio; R, rabies; Td, typhoid; Tt, tetanus; V, varicella; YF, yellow fever. ∗Percentages may not add up to 100% due to rounding errors.