| Literature DB >> 36000001 |
Emily P Hyle1, Mylinh H Le1, Sowmya R Rao2, Nora M Mulroy1, Allison T Walker3, Edward T Ryan4, Regina C LaRocque4.
Abstract
Background: To assess the implications of coronavirus disease 2019 (COVID-19)-related travel disruptions, we compared demographics and travel-related circumstances of US travelers seeking pretravel consultation regarding international travel at US Global TravEpiNet (GTEN) sites before and after the initiation of COVID-19 travel warnings.Entities:
Keywords: COVID-19; global travEpiNet; international travel
Year: 2022 PMID: 36000001 PMCID: PMC9384642 DOI: 10.1093/ofid/ofac399
Source DB: PubMed Journal: Open Forum Infect Dis ISSN: 2328-8957 Impact factor: 4.423
Figure 1.Changes in the number of pretravel consultations at Global TravEpiNet (GTEN) sites during the pre-COVID-19 and COVID-19 periods, stratified by calendar quarter. We excluded pretravel consultations from the first quarter of 2020 (January 1, 2020–March 31, 2020) due to traveler uncertainty, travel disruptions, and government restrictions. Abbreviation: COVID-19, coronavirus disease 2019.
Demographics and Travel-Related Circumstances of International Travelers Seeking Pretravel Consultation at Global TravEpiNet Sites Before and During the COVID-19 Pandemic
| Characteristics | Pre-COVID-19: | During COVID-19: | Relative Percent Change |
|
|---|---|---|---|---|
| Sex, No. (Col. %) | <.001 | |||
| Male | 7080 (41.9) | 827 (52.9) | 26 | … |
| Female | 9823 (58.1) | 737 (47.1) | −19 | … |
| Age, No. (Col. %) | <.001 | |||
| 6 mo–<6 y | 500 (3.0) | 168 (10.7) | 263 | … |
| 6–<18 y | 1776 (10.5) | 169 (10.8) | 3 | … |
| 18–55 y | 12 565 (74.3) | 1152 (73.7) | −1 | … |
| >55 y | 2062 (12.2) | 75 (4.8) | −61 | … |
| Duration of travel, No. (Col. %)[ | <.001 | |||
| <15 d | 9740 (57.6) | 455 (29.1) | −50 | … |
| 15–28 d | 4636 (27.4) | 281 (18.0) | −34 | … |
| 29–180 d | 2107 (12.5) | 536 (34.3) | 175 | … |
| >6 mo | 415 (2.5) | 288 (18.4) | 650 | … |
| Region of travel, No. (Col. %)[ | ||||
| Africa | 8049 (47.6) | 1084 (69.3) | 46 | <.001 |
| Americas | 4370 (25.9) | 295 (18.9) | −27 | <.001 |
| Southeast Asia | 3082 (18.2) | 65 (4.2) | −77 | <.001 |
| Western Pacific | 2381 (14.1) | 78 (5.0) | −65 | <.001 |
| Europe | 805 (4.8) | 69 (4.4) | −7 | .532 |
| Eastern Mediterranean | 988 (5.8) | 141 (9.0) | 54 | <.001 |
| Disease-endemic travel destination, No. (%) | ||||
| Yellow fever | 9967 (59.0) | 1245 (79.6) | 35 | <.001 |
| Japanese encephalitis | 3069 (18.2) | 57 (3.6) | −80 | <.001 |
| Malaria | 15 931 (94.2) | 1431 (91.5) | −3 | <.001 |
| Reason for travel, No. (Col. %)[ | <.001 | |||
| VFR | 1525 (9.0) | 501 (32.0) | 255 | … |
| Business | 1948 (11.5) | 239 (15.3) | 33 | … |
| Humanitarian service work | 2347 (13.9) | 284 (18.2) | 31 | … |
| Research/education | 1146 (6.8) | 35 (2.2) | −67 | … |
| Leisure | 9322 (55.1) | 395 (25.3) | −54 | … |
| Other | 615 (3.6) | 110 (7.0) | 93 | … |
| Medication prescriptions, No. (%) | ||||
| Antimalarial drugs | 10 067 (63.2) | 1022 (71.4) | 13 | <.001 |
| Travelers’ diarrhea | 11 666 (69.0) | 653 (41.8) | −40 | <.001 |
| Altitude sickness | 1040 (6.2) | 38 (2.4) | −61 | <.001 |
| US census region of clinic site, No. (Col. %) | <.001 | |||
| Northeast | 9078 (53.7) | 720 (46.0) | −14 | … |
| Midwest | 421 (2.5) | 0 (.0) | −100 | … |
| South | 4488 (26.6) | 519 (33.2) | 25 | … |
| West | 2916 (17.3) | 325 (20.8) | 20 | … |
| Type of clinic, No. (Col. %)[ | <.001 | |||
| Academic center | 10 450 (61.8) | 1350 (86.3) | 40 | … |
| Nonacademic center | 6453 (38.2) | 214 (13.7) | −64 | … |
Abbreviations: COVID-19, coronavirus disease 2019; VFR, visiting friends and relatives.
P values based on chi-square tests.
Duration of travel data was missing for 5 pretravel consultations pre-COVID-19 and 4 consultations during COVID-19.
Travelers can contribute to >1 region if their itinerary includes multiple countries.
Travelers who noted >1 reason for travel are put into 1 category within this order (top to bottom).
Academic centers are affiliated with university hospitals or medical schools; nonacademic centers include 7 public health clinics, 2 primary care clinics, 1 health network, and 1 pharmacy.
Vaccine Eligibility of International Travelers at Pretravel Consultations at Global TravEpiNet (GTEN) Sites Before and During the COVID-19 Pandemic
| Characteristic | Pre-COVID-19: | During COVID-19: |
|
|---|---|---|---|
|
| .002 | ||
| Preexisting immunity | 14 093 (83.4) | 1254 (80.2) | … |
| Medical contraindication | 35 (0.2) | 1 (0.1) | … |
| Vaccine eligible | 2775 (16.4) | 309 (19.8) | … |
|
| <.0001 | ||
| Preexisting immunity | 8604 (50.9) | 929 (59.4) | … |
| Medical contraindication | 47 (0.3) | 9 (0.6) | … |
| Vaccine eligible | 8252 (48.8) | 626 (40.0) | … |
|
| .004 | ||
| Preexisting immunity | 9132 (54.0) | 779 (49.8) | … |
| Medical contraindication | 18 (0.1) | 2 (0.1) | … |
| Vaccine eligible | 7753 (45.9) | 783 (50.1) | … |
|
| <.0001 | ||
| Preexisting immunity | 2634 (15.6) | 208 (13.3) | … |
| Medical contraindication | 137 (0.8) | 50 (3.2) | … |
| Vaccine eligible | 14 132 (83.6) | 1306 (83.5) | … |
|
| .16 | ||
| Preexisting immunity | 58 (1.9) | 3 (5.3) | … |
| Medical contraindication | 4 (0.1) | 0 (0.0) | … |
| Vaccine eligible | 3007 (98.0) | 54 (94.7) | … |
|
| <.0001 | ||
| Preexisting immunity | 1553 (15.6) | 281 (22.6) | … |
| Medical contraindication | 315 (3.2) | 42 (3.4) | … |
| Vaccine eligible | 8099 (81.3) | 922 (74.1) | … |
Abbreviations: COVID-19, coronavirus disease 2019; MMR, measles-mumps-rubella.
P values based on Fisher exact tests.
Travelers in 3069 pretravel health consultations from the pre-COVID-19 period had itineraries where Japanese encephalitis vaccination might be recommended by a provider compared with 57 consultations in the COVID-19 period.
Travelers in 9967 pretravel health consultations from the pre-COVID-19 period had itineraries where yellow fever vaccination might be recommended by a provider compared with 1245 consultations in the COVID-19 period.
Figure 2.Administration of vaccines and reasons for nonvaccination among vaccine-eligible international travelers evaluated at pretravel consultations at Global TravEpiNet (GTEN) sites during the pre-COVID-19 and COVID-19 periods. For each type of travel-related vaccination, vaccine-eligible travelers were categorized into those vaccinated at the pretravel consultation (blue) and not vaccinated (orange). We then categorized reasons for nonvaccination into provider decision (solid), referral to another provider (dots), traveler refusal (striped), or other (hatched). Abbreviations: COVID-19, coronavirus disease 2019; MMR, measles-mumps-rubella.
Figure 3.Changes in the distribution of travel duration A and reason for travel B among international travelers evaluated at pretravel consultations at Global TravEpiNet (GTEN) sites during the pre-COVID-19 and COVID-19 periods, stratified by the calendar quarter of the consultation. Duration of travel was categorized as 1–7 d (blue), 8–14 d (gray), 15–28 d (black), 29–180 d (gold), and >6 m (red). Reason for travel was categorized as visiting friends and relatives (red), business (black), humanitarian or service work (gold), research/education (gray), leisure (blue), and other (green). Abbreviations: COVID-19, coronavirus disease 2019; VFR, visiting friends and relatives.