Abstract
Background
Expatriates are a distinct population at unique risk for health problems related to their travel exposure.
Methods
We analyzed GeoSentinel data comparing ill returned expatriates with other travelers for demographics, travel characteristics, and proportionate morbidity (PM) for travel-related illness.
Results
Our study included 2,883 expatriates and 11,910 non-expatriates who visited GeoSentinel clinics ill after travel. Expatriates were more likely to be male, do volunteer work, be long-stay travelers (>6 months), and have sought pre-travel advice. Compared to non-expatriates, expatriates returning from Africa had higher proportionate morbidity (PM) for malaria, filariasis, schistosomiasis, and hepatitis E; expatriates from the Asia-Pacific region had higher PM for strongyloidiasis, depression, and anxiety; expatriates returning from Latin America had higher PM for mononucleosis and ingestion-related infections (giardiasis, brucellosis). Expatriates returning from all three regions had higher PM for latent TB, amebiasis, and gastrointestinal infections (other than acute diarrhea) compared to non-expatriates. When the data were stratified by travel reason, business expatriates had higher PM for febrile systemic illness (malaria and dengue) and vaccine-preventable infections (hepatitis A), and volunteer expatriates had higher PM for parasitic infections. Expatriates overall had higher adjusted odds ratios for latent TB and lower odds ratios for acute diarrhea and dermatologic illness.
Conclusions
Ill returned expatriates differ from other travelers in travel characteristics and proportionate morbidity for specific diseases, based on the region of exposure and travel reason. They are more likely to present with more serious illness.
Keywords: Expatriate, Travelers, GeoSentinel, Malaria
Background
Expatriates are a diverse group who must adapt to their host culture, who have a longer duration of exposure to country-related hazards, and who have the opportunity to modify risks in their immediate environment [1]. With increasing globalization, expatriate travel has grown substantially, along with an increasing need to understand the health issues for these travelers. Despite this, there is as yet no definitive answer to the number of expatriates worldwide. United Nations statistics in 2005 indicated 32 million expatriates in the 34 countries of the Organization for Economic Cooperation and Development (OECD) [2]. Another study estimated 3 million expatriates in the United Arab Emirates alone [3]. Given all the countries not included in the estimates above, the total number of expatriates worldwide may number well over 40–50 million.
Expatriates have been defined by Foyle as those who take up residence in another country for occupational purposes, returning to their country of origin when their assignment is completed [4]. Using local infrastructure and longer-term residence abroad expose expatriates to health risks. Expatriates are therefore considered distinct from tourists, who use commercial lodgings such as hotels or hostels, or travelers visiting friends and relatives (VFRs), who stay in local homes as guests. Expatriates are also distinct from immigrants in their nonpermanent residence in their destination country, although many expatriates reside abroad for long periods, from months to years.
Few systematic studies have examined the full spectrum of health problems among different expatriate subgroups and their destinations. We present data on ill returned expatriates seen after travel at GeoSentinel sites worldwide to better guide clinicians and organizations responsible for expatriate health.
Methods
Data collection
The GeoSentinel Surveillance Network consists of specialized travel or tropical medicine clinics on 6 continents contributing data on travelers seen during or after travel. Sentinel surveillance data, including demographic and travel characteristics, are collected by using standard, anonymous reporting forms, as described [5]. Final diagnoses were selected from a standardized list of over 500 diagnostic codes, based on the best available reference diagnostics in the site country. These diagnoses were grouped into 21 broad syndrome categories. Individual patients could have more than one final diagnosis.
Definitions
Site clinicians marked a traveler as “expatriate”, according to the GeoSentinel data entry definition as those living in a destination country with an independent residence, using mostly the infrastructure used by local residents of the same economic class, independent of duration of residence. “Non-expatriates” were defined as those who were not marked to be an “expatriate”, including business and volunteer travelers staying in hostels and hotels. An expatriate was further classified by their travel reason (e.g., business, volunteer). Countries of exposure were categorized into one of 4 regions: Africa, Asia-Pacific, Latin America, and “Other” (Europe, North America, Middle East). Five syndromic groupings of diagnoses were analyzed: acute diarrhea, systemic febrile illness, other gastrointestinal (GI) disorders, dermatologic, and respiratory illness. We further categorized individual diagnostic codes by mode of transmission: vector-borne, ingestion, respiratory, blood/body fluid/sexual, environmental contact and noninfectious, similar to previous studies [6]. Data were analyzed for patients evaluated from 18 March 1997 to 31 May 2011. Patients were included who presented ill to a GeoSentinel clinic after either expatriate or non-expatriate travel. Immigrants and VFRs were excluded. Also excluded were those whose reason for travel was tourism, education, military, or medical tourism, as none of these records were classified as an expatriate. Only patients whose reason for travel was business or missionary/volunteer/aid work (abbreviated as volunteer hereafter) were included.
Ethics
The GeoSentinel data-collection protocol was reviewed by the institutional review board officer at the National Center for Infectious Diseases at the Centers for Disease Control and Prevention and classified as public health surveillance and not as human-subjects research requiring submission to institutional review boards.
Statistical analysis
Demographic and travel characteristics of expatriates were compared to non-expatriates, as well as for syndromic illness and specific diagnostic groupings. Proportionate morbidity (PM) was expressed as the number of patients with a specific syndrome or diagnosis per 1,000 ill returned expatriates and non-expatriates. A sub-analysis of expatriates based on travel reason (business vs. volunteer) was also performed on syndromic illness and specific diagnostic groupings. Categorical variables were compared by using the chi-square test and analyzed by using bivariate odds ratios and 95% confidence intervals. For select diagnostic groupings, multivariable logistic regression was used, adjusting for factors found to be significant in bivariate analyses. SAS 9.2 was used in all statistical analyses. A value of <0.05 was considered statistically significant.
Results
From March 1997 to May 2011, 14,793 business and volunteer travelers visited GeoSentinel sites after travel with confirmed or probable travel-related final diagnoses; 2,883 (19.5%) were ill returned expatriates (Figure 1). Expatriates were more likely than other travelers to be male, to have longer trip durations, to travel for volunteer work, and to have sought pre-travel advice (Table 1).
Table 1.
All | |||
---|---|---|---|
|
TOTAL |
Expatriates |
Non-expatriates |
(N=14,793) |
(n=2,883) |
(n=11,910) |
|
|
Percentage, % |
||
Male* |
58 |
64 |
56 |
Age* |
|
|
|
<=19 |
4 |
6 |
4 |
20-64 |
92 |
91 |
93 |
65+ |
4 |
4 |
3 |
Sought pre-travel advice* |
60 |
70 |
58 |
Travel reason* |
|
|
|
Business |
58 |
41 |
62 |
Volunteer |
42 |
59 |
38 |
Trip duration* |
|
|
|
<1 month |
44 |
11 |
53 |
1-6 months |
25 |
20 |
26 |
>6 months |
18 |
51 |
10 |
Unknown |
13 |
18 |
11 |
Exposure region* |
|
|
|
Africa |
38 |
39 |
37 |
Asia-Pacific |
28 |
23 |
30 |
Latin America |
19 |
25 |
17 |
Other a |
6 |
7 |
6 |
Unknown |
9 |
6 |
9 |
Patient type |
|
|
|
Inpatient |
10 |
11 |
10 |
Outpatient | 90 | 89 | 90 |
*χ2p-value < 0.01, comparing expatriates with non-expatriates.
a Other includes Europe, Middle East, and North America and does not include unknown region (n=1277).
Comparing expatriates with non-expatriates for syndromic groupings of diagnoses, expatriates ill after travel had lower PM for acute diarrhea and dermatologic and respiratory illnesses but higher PM for other GI disorders (Table 2).
Table 2.
ALL | Business travelers | Volunteer travelers | |||||||
---|---|---|---|---|---|---|---|---|---|
|
Expatriate |
Non-expatriate |
p-value (bivariate) |
Expatriate |
Non-expatriate |
p-value (bivariate) |
Expatriate |
Non-expatriate |
p-value (bivariate) |
|
PM per 1,000 |
|
PM per 1,000 |
|
PM per 1,000 |
|
|||
Acute Diarrhea |
136 |
233 |
<0.01 |
131 |
231 |
<0.01 |
139 |
236 |
<0.01 |
Febrile/Systemic Illness |
195 |
201 |
0.46 |
265 |
212 |
<0.01 |
147 |
183 |
<0.01 |
Dermatologic |
88 |
121 |
<0.01 |
103 |
115 |
0.22 |
79 |
130 |
<0.01 |
GI, Other |
121 |
74 |
<0.01 |
112 |
71 |
<0.01 |
127 |
79 |
<0.01 |
Respiratory |
49 |
86 |
<0.01 |
75 |
102 |
<0.01 |
31 |
59 |
<0.01 |
Vector-borne | |||||||||
Malaria |
84 |
62 |
<0.01 |
109 |
62 |
<0.01 |
67 |
61 |
0.37 |
Dengue |
21 |
23 |
0.44 |
31 |
22 |
0.05 |
13 |
25 |
<0.01 |
Leishmaniasis |
5 |
5 |
0.73 |
2 |
4 |
0.42 |
8 |
6 |
0.60 |
Rickettsiosis |
3 |
4 |
0.56 |
6 |
5 |
0.64 |
1 |
2 |
0.41 |
Filariasis |
14 |
4 |
<0.01 |
3 |
2 |
0.48 |
21 |
6 |
<0.01 |
Ingestion | |||||||||
Typhoid & Paratyphoid |
4 |
5 |
0.83 |
6 |
3 |
0.18 |
3 |
6 |
0.17 |
Hepatitis A |
3 |
2 |
0.35 |
7 |
3 |
0.03 |
0.6 |
2 |
0.69 |
Hepatitis E |
3 |
0.4 |
<0.01 |
3 |
0.5 |
0.06 |
4 |
0.2 |
<0.01 |
GI disease (parasitic) |
15 |
13 |
0.28 |
18 |
11 |
0.05 |
14 |
16 |
0.64 |
GI disease (bacterial) |
11 |
27 |
<0.01 |
14 |
30 |
<0.01 |
9 |
23 |
<0.01 |
Amebiasis |
32 |
17 |
<0.01 |
19 |
16 |
0.32 |
41 |
19 |
<0.01 |
Giardiasis |
26 |
32 |
0.10 |
24 |
28 |
0.36 |
28 |
39 |
0.05 |
Brucellosis |
2 |
0.4 |
<0.01 |
0.8 |
0.5 |
0.52 |
4 |
0.2 |
<0.01 |
Respiratory Contact | |||||||||
Influenza |
7 |
17 |
<0.01 |
13 |
23 |
0.03 |
3 |
9 |
0.01 |
Latent TB |
19 |
8 |
<0.01 |
26 |
9 |
<0.01 |
14 |
5 |
<0.01 |
Active TB |
4 |
2 |
0.02 |
6 |
2 |
0.03 |
3 |
1 |
0.07 |
Blood/Body Fluid/Sexual | |||||||||
HIV |
7 |
2 |
<0.01 |
13 |
3 |
<0.01 |
2 |
1 |
0.27 |
Hepatitis B |
1 |
1 |
0.91 |
0.8 |
1 |
1.00 |
0.6 |
0 |
0.27 |
IMS1 – EBV2/CMV3 |
16 |
7 |
<0.01 |
8 |
8 |
0.89 |
22 |
5 |
<0.01 |
Environmental Contact | |||||||||
Schistosomiasis |
15 |
9 |
<0.01 |
10 |
5 |
0.02 |
19 |
15 |
0.26 |
Strongyloidiasis |
14 |
5 |
<0.01 |
7 |
3 |
0.03 |
19 |
9 |
<0.01 |
Ectoparasites |
4 |
9 |
<0.01 |
5 |
7 |
0.42 |
4 |
12 |
<0.01 |
Animal Bites |
3 |
3 |
0.99 |
6 |
2 |
0.03 |
0.6 |
4 |
0.05 |
Non-infectious | |||||||||
Fracture & Dislocation |
1 |
0.4 |
0.20 |
0.8 |
0.3 |
0.33 |
1 |
0.7 |
0.62 |
Depression |
8 |
3 |
<0.01 |
9 |
2 |
<0.01 |
7 |
5 |
0.24 |
Anxiety & Stress |
7 |
3 |
<0.01 |
3 |
4 |
1.00 |
10 |
3 |
<0.01 |
Cardiac Disease | 2 | 1 | 0.04 | 4 | 1 | 0.02 | 0.6 | 0.2 | 0.47 |
1IMS=infectious mononucleosis, 2EBV=Epstein-Barr virus; 3CMV=Cytomegalovirus.
Region of exposure was associated with differences in proportionate morbidity when comparing expatriates and non-expatriates after travel (Table 3). For exposure in Africa, expatriates had significantly higher PM compared with non-expatriates for infections transmitted by mosquitoes (malaria, filariasis), by environmental contact (schistosomiasis), and by ingestion (amebiasis, hepatitis E). For exposure in the Asia-Pacific region, expatriates had a higher PM than non-expatriates for strongyloidiasis, filariasis, depression, and anxiety/stress. Compared with the African region, malaria in the Asia-Pacific region was predominantly due to non-falciparum species. By contrast, expatriates exposed in Latin America had higher PM than non-expatriates for infectious mononucleosis and ingestion-related infections (amebiasis, giardiasis, and brucellosis). Across all three regions (Africa, Asia-Pacific, and Latin America), expatriates had higher PM for latent TB and amebiasis.
Table 3.
AFRICA (n=5575) | ASIA-PACIFIC (n=4200) | LATIN AMERICA (n=2787) | OTHER REGIONS¥(n=954) | p-value * | |||||
---|---|---|---|---|---|---|---|---|---|
|
Expatriate |
Non-expatriate |
Expatriate |
Non-expatriate |
Expatriate |
Non-expatriate |
Expatriate |
Non-expatriate |
|
PM per 1,000 | |||||||||
Syndrome Groupings | |||||||||
Acute Diarrhea |
139 |
226 |
147 |
273 |
129 |
240 |
113 |
171 |
a,b,c |
Febrile/Systemic Illness |
289 |
263 |
195 |
203 |
95 |
148 |
77 |
103 |
c |
Dermatologic |
73 |
111 |
94 |
111 |
103 |
179 |
93 |
122 |
a,c |
GI, Other |
101 |
65 |
140 |
68 |
136 |
70 |
124 |
86 |
a,b,c |
Respiratory |
45 |
67 |
68 |
104 |
23 |
58 |
88 |
186 |
a,b,c,d |
Diagnostic Groupings | |||||||||
Vector-borne | |||||||||
Malaria |
178 |
121 |
51 |
43 |
7 |
16 |
0 |
3 |
a |
P.falciparum |
115 |
86 |
9 |
13 |
1 |
4 |
0 |
0 |
a |
Malaria, other£ |
56 |
30 |
40 |
31 |
4 |
12 |
0 |
3 |
a |
Dengue |
6 |
7 |
52 |
46 |
20 |
36 |
0 |
0 |
|
Leishmaniasis |
3 |
3 |
2 |
1 |
15 |
15 |
0 |
12 |
|
Rickettsiosis |
4 |
8 |
5 |
1 |
0 |
2 |
0 |
1 |
|
Filariasis |
31 |
7 |
6 |
1 |
3 |
3 |
0 |
1 |
a,b |
Ingestion | |||||||||
Typhoid & Paratyphoid |
4 |
3 |
10 |
10 |
1 |
3 |
0 |
0 |
|
Hepatitis A |
3 |
2 |
6 |
2 |
1 |
1 |
5 |
4 |
|
Hepatitis E |
5 |
0.2 |
3 |
1 |
1 |
0 |
0 |
0 |
a |
GI (parasitic) |
14 |
8 |
21 |
13 |
14 |
23 |
10 |
8 |
|
GI (bacterial) |
9 |
27 |
13 |
39 |
12 |
18 |
5 |
29 |
a,b |
Amebiasis |
31 |
16 |
30 |
16 |
42 |
22 |
21 |
17 |
a,b,c |
Giardiasis |
33 |
32 |
30 |
37 |
14 |
30 |
10 |
21 |
c |
Brucellosis |
2 |
0.2 |
2 |
1 |
4 |
0 |
5 |
3 |
c |
Respiratory Contact | |||||||||
Influenza |
6 |
14 |
9 |
22 |
3 |
7 |
21 |
45 |
b |
Latent TB |
13 |
4 |
25 |
7 |
15 |
5 |
36 |
21 |
a,b,c |
Active TB |
3 |
1 |
3 |
2 |
5 |
2 |
10 |
4 |
|
Blood/Body Fluid/Sexual | |||||||||
HIV |
5 |
2 |
5 |
2 |
3 |
3 |
41 |
5 |
d |
Hepatitis B |
2 |
0 |
0 |
1 |
0 |
0 |
0 |
1 |
|
IMS – EBV/CMV |
5 |
5 |
15 |
9 |
34 |
8 |
26 |
9 |
c |
Environmental Contact | |||||||||
Schistosomiasis |
36 |
19 |
1 |
2 |
1 |
2 |
5 |
5 |
a |
Strongyloidiasis |
13 |
6 |
16 |
3 |
15 |
6 |
10 |
3 |
b |
Ectoparasites |
5 |
10 |
0 |
4 |
7 |
20 |
0 |
7 |
c |
Animal Bites |
2 |
3 |
7 |
4 |
0 |
3 |
5 |
3 |
|
Non-infectious | |||||||||
Fracture & Dislocation |
0 |
0.4 |
2 |
1 |
0 |
1 |
10 |
0 |
d |
Depression |
3 |
3 |
12 |
2 |
8 |
3 |
16 |
7 |
b |
Anxiety & Stress |
8 |
4 |
7 |
1 |
4 |
3 |
21 |
5 |
b |
Cardiac Disease | 3 | 0.4 | 2 | 0.6 | 0 | 1 | 0 | 1 |
* Comparing expatriate to non-expatriate, if p-value < 0.01, denoted a for Africa, b - Asia-Pacific, c - Latin America, d - Other.
¥ Other regions include Europe, Middle East, and North America and does not include unknown region (n=1277).
£ Malaria, other includes species unknown, P. vivax, P. malariae, P. ovale, P.v., and mefloquine-resistant.
When expatriates were grouped by travel reason, business expatriates had higher PM for certain febrile systemic illnesses (malaria and dengue), vaccine-preventable infections (hepatitis A), HIV, and animal bites compared to business non-expatriates (Table 2). In contrast, volunteer expatriates had higher PM for anxiety/stress, infectious mononucleosis, and parasitic infections (filariasis, amebiasis, and strongyloidiasis) compared to volunteer non-expatriates.
After the data were adjusted for sex, age, travel reason, trip duration, and exposure region, expatriates had higher adjusted odds ratios than non-expatriates for gastrointestinal disorders other than acute diarrhea, latent TB and infectious mononucleosis syndrome (IMS) and lower odds ratios for acute diarrhea and dermatologic illness, as well as leishmaniasis, giardiasis, and ectoparasites (Figure 2).
Discussion
This analysis compares 2,883 ill returned expatriates with 11,910 ill non-expatriates to elucidate differences in travel patterns and illness seen after travel. Our expatriate definition was formulated independent of travel duration; therefore, there could have been situations where expatriates returned ill to their country of citizenship after only a short duration of travel. We have not excluded these cases from analysis because early repatriation did not alter the fact that they had resided abroad as expatriates.
Destination remains one of the most important factors influencing travel-related illness and is a major focus for both travel medicine and occupational health clinicians. Our analysis, showing higher PM for both falciparum and non-falciparum malaria among expatriates exposed in Africa and the Asia-Pacific region, respectively, should guide pre-travel advice and post-travel assessment for these travelers. The highest PM for filariasis and schistosomiasis was observed among expatriates exposed in Africa, indicating the importance of focusing preventive advice on mosquito-bite precautions and environmental contact for these expatriates. Asia-bound expatriates, on the other hand, may need to be advised about reducing exposure to tuberculosis, non-falciparum malaria, and strongyloidiasis. Expatriates exposed in Latin America, with the highest observed PM among all regions for amebiasis and infectious mononucleosis, may need to be advised about exposure to these illnesses.
Malaria carried the highest PM of all specific diagnoses, underscoring its importance among expatriates returning with symptomatic illness. This finding was true both for expatriates returning from Africa and the Asia-Pacific region. Although our study cannot estimate malaria risk, this finding is consistent with past studies that documented high rates of malaria in a wide range of expatriates, including missionaries, embassy personnel, urban expatriates, and Peace Corps volunteers in rural settings [7-10].
Our study does not provide any information about malaria chemoprophylaxis. Although two-thirds of our expatriate sample had sought pre-travel advice, compliance with chemoprophylaxis among expatriates is known to be suboptimal, possibly related to their longer duration of travel. One study in Zaire showed the use of malaria prophylaxis in missionaries at risk has ranged from 19% to 62% [11]. Among expatriate workers in Zambia and Ghana, only 44% and 11%, respectively, used chemoprophylaxis [12,13]. Similarly, business travelers with good understanding of malaria risk also failed to use appropriate personal protection measures when trip duration increased [14]. Reasons for noncompliance may include fear of long-term side effects, medication fatigue, adverse events, conflicting advice, perceived low risk of malaria, and complacency. Awareness of these issues will allow travel medicine practitioners to better prepare at-risk expatriate travelers [15,16].
GI infections, including acute diarrhea, cause significant morbidity among returned travelers globally [1,5,17]. Our study found that expatriates overall had lower PM for acute diarrhea and bacterial GI disease than non-expatriates. Returned expatriates had higher PM for other GI disorders, so GI illness remains an important source of morbidity for post-travel assessment. One possible explanation is that with longer exposure, partial immunity to acute bacterial pathogens may develop over time. This effect was seen in expatriates living in a highly endemic environment in Nepal, where a decreasing linear relationship was found between the odds ratio for diarrhea and duration of residence in that country [18]. This could also be due to changes in behavior by expatriates over the course of time. Another explanation would be the limitation of our proportionate morbidity methodology; expatriates could have higher rates and risks for these conditions but lower PM due to yet higher risks for other conditions.
Few studies distinguish business expatriates as a subgroup, distinct from missionaries, volunteers or aid workers. We found business expatriates had higher PM for vector-borne and vaccine-preventable infections, probably due to the broader range of occupations and countries of origin represented in our dataset. In our dataset, a lower proportion of business expatriates sought pre-travel consultation compared with missionary expatriates (33% vs. 67%). One implication of these findings is the importance of trying to reach business expatriates with pre-travel consultations, and focusing the encounter on preventing malaria, dengue and other vector-borne infections, and vaccine-preventable diseases such as hepatitis A. HIV infection and animal bites may also represent important but sometimes neglected topics for preventive advice and vaccination among business expatriates. However, these findings are based on low numbers, so the data should be interpreted with caution.
Volunteer expatriates were observed to have higher PM for parasitic infections, possibly reflecting greater rural exposure. Guidance for these travelers may need to focus on preventing parasites transmitted via mosquitoes (filariasis), ingestion (amebiasis), and environmental contact (schistosomiasis, strongyloidiasis), as well as anxiety/stress issues. Compared with non-expatriates, stressors experienced by expatriates may include a greater need to adapt to the culture, language, or infrastructure of the host country, loss of usual social supports, or work problems. Estimates of mental health problems range from 4% of health events in Peace Corps volunteers [19] to 10% in a study of British missionaries in 27 countries [8], with depression reported as the most common reason for psychiatric assessment [20]. Volunteer expatriates, such as aid workers or missionaries, may experience more psychological stressors. A retrospective study of 1250 returned Red Cross expatriates reported that 40% found their mission more stressful than expected, and 16% were exposed to at least one act of violence [21].
Although we excluded patients seen only for screening visits, we observed higher PM for latent TB among expatriates than non-expatriates, even after adjustment for age, sex, travel reason, travel duration, and region of exposure. Some of this difference may be due to screening protocols in different organizations. The higher PM for active TB among expatriates suggests these travelers may indeed have more exposure to TB. This finding is consistent with other studies which showed US Peace Corps volunteers with purified protein derivative (PPD) conversion rates of 1.3 per 1,000 volunteer-months [22], probably reflecting a true increased exposure to TB in higher-incidence regions.
Several negative findings in this analysis are worth noting. Enteric fever (typhoid/paratyphoid) is the most common bacteremic disease affecting travelers to the tropics [23], but in our study, we did not find any significantly different PM for enteric fever among expatriates as compared to non-expatriates. We found no cases of Japanese encephalitis, cholera, or meningococcal disease among the 14,793 ill returned expatriates and non-expatriates. Because these are rare diseases, our analysis may lack sufficient power to detect very low-incidence illnesses, which is a potential limitation of this study.
Our analysis using GeoSentinel data has several other important general limitations. First, the data do not represent a comprehensive epidemiologic analysis, with uniform and comprehensive sampling of all travel-related illnesses. Therefore, more severe or complex diseases may be overrepresented because of referrals to specialized GeoSentinel clinics, along with an underrepresentation of mild or self-limited conditions normally seen at nonspecialized primary care practices. Furthermore, diseases with short incubation periods with onset during the trip abroad (such as acute diarrhea) would also be underrepresented because the sample contains data only for post-travel patients. Second, because a comparison group of healthy travelers is unavailable, rates and risks could not be calculated for travel-related illness in expatriates and non-expatriates. Our odds ratio results should be interpreted accordingly. Last, high proportions of missing values were found for region of exposure and trip duration (9% and 10%, respectively); however, comparisons of missing to non-missing produced no statistical differences for demographic variables such as sex and age; these comparisons were included in the adjusted multivariate logistic regression.
After adjusting for demographics, travel reason, trip duration or region of exposure, our results indicate that expatriate travel did not have increased odds for some of the illnesses we are concerned about such as malaria. Malaria is seen commonly among expatriates but this may be due to longer duration of travel or region of exposure rather than the expatriate nature of travel. However, expatriates seen after travel do have increased adjusted odds for GI diseases other than acute diarrhea, and latent TB infection. The reliance of expatriates on local infrastructure, broader contact with endemic populations or behavior adaptations may increase expatriate exposure to these diseases. Understanding these results as well as the limitations of our data will further elucidate the role of expatriate travel and the factors that impact clinical outcomes in expatriates returning with symptomatic illness. We hope these insights will serve to inform the practice of clinicians and organizations serving expatriates, both in pre-travel preparation and post-travel consultations.
Competing interests
PLL, PH, SM, PP, DH, PS, LL, XMD, DOF: None
LHC has received research funding from Xcellerex Inc and honoraria from Thompson Media LLC for serving on the editorial board of Travel Medicine Advisor. AWS has received speaker's honoraria from GSK, Sanofi Pasteur and Novartis, and serves on the Novartis Advisory Board for Travel Vaccines.
Authors’ contributions
PLL conceived of the study, participated in study design, data analysis and interpretation, and drafted the manuscript. PH participated in study design, statistical analysis, and drafted the manuscript. LHC participated in study design, data interpretation, literature review and helped draft the manuscript. SM, PP, DH, PS, participated in data interpretation, literature review and helped draft the manuscript. LL, AWS participated in literature and manuscript review. XMD participated in study design and data analysis. DOF participated in data interpretation, and manuscript review. All authors read and approved the final manuscript.
Disclaimer
The findings and conclusions in this report are those of these authors and do not necessarily represent the views of the Centers for Disease Control and Prevention.
Pre-publication history
The pre-publication history for this paper can be accessed here:
Contributor Information
Poh-Lian Lim, Email: pllim@post.harvard.edu.
Pauline Han, Email: hfd7@cdc.gov.
Lin H Chen, Email: lin-hwei_chen@hms.harvard.edu.
Susan MacDonald, Email: susanmacdonald@telus.net.
Prativa Pandey, Email: pandey@mos.com.np.
DeVon Hale, Email: devon.hale@hsc.utah.edu.
Patricia Schlagenhauf, Email: pat@ifspm.uzh.ch.
Louis Loutan, Email: louis.loutan@hcuge.ch.
Annelies Wilder-Smith, Email: epvws@pacific.net.sg.
Xiaohong M Davis, Email: sam0@cdc.gov.
David O Freedman, Email: freedman@uab.edu.
Acknowledgements
GeoSentinel Surveillance Network
In addition to the authors, members of the GeoSentinel Surveillance Network who contributed data (in descending order) are: Rahul Anand and Stephanie S. Gelman, University of Utah, Salt Lake City, Utah, USA; François Chappuis, University of Geneva, Geneva, Switzerland; Eli Schwartz, Chaim Sheba Medical Center, Tel Hashomer, Israel; Kevin C. Kain, Andrea K. Boggild, and Jay S. Keystone, University of Toronto, Toronto, Ontario, Canada; Frank von Sonnenburg; University of Munich, Munich, Germany; Gerd-Dieter Burchard, Bernhard-Nocht-Institute for Tropical Medicine, Hamburg, Germany; Karin Leder, Joseph Torresi, and Graham Brown, Royal Melbourne Hospital, Melbourne, Victoria, Australia; Philippe Parola, Fabrice Simon, and Jean Delmont, Hôpital Nord, Marseille, France; Holly Murphy, CIWEC Clinic Travel Medicine Center, Kathmandu, Nepal; Thomas B. Nutman and Amy D. Klion, National Institutes of Health, Bethesda, Maryland, USA; Anne McCarthy, University of Ottawa, Ottawa, Canada; Michael D. Libman, Brian Ward, and J. Dick Maclean, McGill University, Montreal, Quebec, Canada; Natsuo Tachikawa, Hanako Kurai, and Hiroko Sagara, Yokohama Municipal Citizen's Hospital, Yokohama, Japan; Phyllis E. Kozarsky, Jessica Fairley, and Carlos Franco-Paredes, Emory University, Atlanta, Georgia, USA; Robert Kass, Travellers Medical and Vaccination Centres of Australia, Adelaide, South Australia, Australia (Dec. 1997 – March 2001 only); Alejandra Gurtman, Mount Sinai Medical Center, New York City, New York, USA (Oct. 2002 – Aug. 2005 only); Rainer Weber and Robert Steffen, University of Zürich, Zurich, Switzerland; Noreen Hynes, R. Bradley Sack, and Robin McKenzie, Johns Hopkins University, Baltimore, Maryland, USA; Giampiero Carosi and Francesco Castelli, University of Brescia, Brescia, Italy; Mary E. Wilson, Mount Auburn Hospital, Harvard University, Cambridge, Massachusetts, USA; Marc Shaw and Annemarie Hern, Worldwise Travellers Health and Vaccination Centre, Auckland, New Zealand; Shuzo Kanagawa, Yasuyuki Kato, and Yasutaka Mizunno, International Medical Center of Japan, Tokyo, Japan; Robert Muller, Travel Clinic Services, Johannesburg, South Africa (May 2004 – June 2005 only); Mogens Jensenius, Oslo University Hospital, Oslo, Norway; Helena Hervius Askling and Ulf Bronner, Karolinska University Hospital, Stockholm, Sweden; Bradley A. Connor, Cornell University, New York, New York, USA; Peter de Vries, Martin P. Grobusch, and Kartini Gadroen, University of Amsterdam, Amsterdam, Netherlands; William M. Stauffer and Patricia F. Walker, University of Minnesota, Minneapolis, Minnesota, USA; John D. Cahill and George McKinley, St. Luke’s-Roosevelt Hospital Center, New York, New York; Carmelo Licitra and Antonio Crespo, Orlando Regional Health Center, Orlando, Florida, USA; Effrossyni Gkrania-Klotsas, Addenbrooke's Hospital, Cambridge, England, UK; Vanessa Field, InterHealth, London, England, UK; Eric Caumes and Alice Pérignon, Hôpital Pitié-Salpêtrière, Paris, France; Christophe Rapp and Olivier Aoun, Hôpital d'instruction des armées Bégin, Saint Mandé, France; N. Jean Haulman, David Roesel, and Elaine C. Jong, University of Washington, Seattle, Washington, USA; Watcharapong Piyaphanee and Udomsak Silachamroon, Mahidol University, Bangkok, Thailand; Johnnie Yates and Vernon Ansdell, Kaiser Permanente, Honolulu, Hawaii, USA; Marc Mendelson and Peter Vincent, University of Cape Town and Tokai Medicross Travel Clinic, Cape Town, South Africa; Susan McLellan; Tulane University, New Orleans, Louisiana, USA (Dec. 1999 – Aug. 2005 only); Cecilia Perret and Francisca Valdivieso, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile; Elizabeth D. Barnett, Boston University, Boston, Massachusetts, USA; Filipe Basto and Candida Abreu, Hospital de São João, Porto, Portugal; Christina M. Coyle and Murray Wittner, Albert Einstein School of Medicine, Bronx, New York, USA; Rogelio López-Vélez and Jose A. Pérez-Molina, Hospital Ramon y Cajal, Madrid, Spain; Patrick Doyle and Wayne Ghesquiere, Vancouver, British Columbia, Canada; Stefan Hagmann, Michael Henry, and Andy O. Miller, Bronx-Lebanon Hospital Center, Bronx, New York, USA; Luis M. Valdez and Hugo Siu, Clínica Anglo Americana, Lima, Peru; David G. Lalloo and Nicholas J. Beeching, Liverpool School of Tropical Medicine, Liverpool, England, UK; and Jean Vincelette, Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, Canada.
Funding
The GeoSentinel Surveillance Network is supported by a cooperative agreement (5U50CK000189) from the Centers for Disease Control and Prevention (CDC) and by funding from the International Society of Travel Medicine (ISTM). The Cambridge UK site is also supported by the National Institute of Health Research Cambridge Biomedical Research Centre.
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