Abstract
Background
The German Military Medical Service contributed to the medical screening of unaccompanied minor refugees (UMRs) coming to Germany in 2014 and 2015. In this study, a broad range of diagnostic procedures was applied to identify microorganisms with clinical or public health significance. Previously, those tests had only been used to screen soldiers returning from tropical deployments. This instance is the first time the approach has been studied in a humanitarian context.
Methods
The offered screenings included blood cell counts, hepatitis B serology and microscopy of the stool to look for protozoa and worm eggs as well as PCR from stool samples targeting pathogenic bacteria, protozoa and helminths. If individuals refused certain assessments, their decision to do so was accepted. A total of 219 apparently healthy male UMRs coming from Afghanistan, Egypt, Somalia, Eritrea, Syria, Ghana, Guinea, Iran, Algeria, Iraq, Benin, Gambia, Libya, Morocco, Pakistan, and Palestine were assessed. All UMRs who were examined at the study department were included in the assessment.
Results
We detected decreasing frequencies of pathogens that included diarrhoea-associated bacteria [Campylobacter (C.) jejuni, enteropathogenic Escherichia (E.) coli (EPEC), enterotoxic E. coli (ETEC), enteroaggregative E. coli (EAEC), enteroinvasive E. coli (EIEC)/Shigella spp.), Giardia (G.) duodenalis, helminths (comprising Schistosoma spp., Hymenolepis (H.) nana, Strongyloides (S.) stercoralis] as well as hepatitis B virus. Pathogenic microorganisms dominated the samples by far. While G. duodenalis was detected in 11.4% of the assessed UMRs, the incidence of newly identified cases in the German population was 4.5 cases per 100,000 inhabitants.
Conclusions
We conclude that the applied in-house PCR screening systems, which have proven to be useful for screening military returnees from tropical deployments, can also be used for health assessment of immigrants from the respective sites. Apparently healthy UMRs may be enterically colonized with a broad variety of pathogenic and apathogenic microorganisms. Increased colonization rates, as shown for G. duodenalis, can pose a hygiene problem in centralized homes for asylum seekers.
Keywords: Refugee, Migration, Asylum seeker, Infection control, Screening, Gastrointestinal pathogens
Background
As a consequence of the recent political changes and military crises in the Middle East and Northern Africa, there has been an influx of millions of refugees into Europe, which has led to a considerable challenge for the civilian public health system. Therefore, since 2013, support from the military medical services in Germany has become necessary. This resulted in an agreement between the public health service of the Hanseatic city of Hamburg and the German Armed Forces Hospital of Hamburg (BwKH) for military physicians at the Department of Tropical Medicine at the Bernhard Nocht Institute for Tropical Medicine (DTM-BNITM) to perform health checks of unaccompanied minor refugees (UMRs).
According to § 36 of the German Act for the prevention and control of infectious diseases in humans (Infektionsschutzgesetz, IfSG), refugees shall undergo a health check when they arrive at a reception centre. These health checks are intended to exclude infectious diseases, which are likely to spread easily in vulnerable populations, such as those in reception centres, therefore posing a considerable hygiene problem. At the same time, primary and booster immunizations are administered according to the recommendations of the German Standing Committee on Vaccination (STIKO), which includes Tdap-IPV (tetanus, diphtheria, poliomyelitis, pertussis) and MMR (measles, mumps, rubella) vaccines.
At the Department of Tropical Medicine at the Bernhard Nocht Institute (DTM-BNITM), several in-house PCR systems have been established in order to screen soldiers returning from sub-tropical and tropical deployment settings for gastrointestinal pathogens [1–5]. These screening tests were applied, in addition to standard microscopic and serological examinations to gain deeper insight into infections, colonization and infestations with potentially hygiene-relevant pathogens. The results of this approach in UMRs are reported in the following sections.
Methods
Refugees
UMRs, defined as refugees of less than 18 years of age, were sent to the DTM-BNITM, BwKH, by the public health authority of Hamburg between September 2014 and December 2015. A chest X-ray was performed by the public health authorities to exclude active tuberculosis prior to the presentation of the UMRs to the DTM-BNITM. Military physicians documented the medical history of the UMRs with the help of an interpreter, examined them, took the necessary blood samples for laboratory testing and finally administered vaccines for tetanus, diphtheria, poliomyelitis, pertussis, measles, German measles (rubella), and mumps. UMR attendants were asked to send stool specimens of the UMRs after the consultation. Material for sample collection was provided with an explanation on how to use it.
There was no specific sampling method for the inclusion of UMRs in the study. All UMRs that were examined at the DTM-BNITM, BwKH, were included in the descriptive assessment without exemptions. There was no exclusion criterion for this descriptive assessment.
Infectious disease screenings
Blood cell counts were performed at the BNITM laboratories in Hamburg, Germany, or the BwKH in Hamburg, Germany, using a Cell Dyn 3200 device (Abbott, Chicago, Illinois, USA). Serology for hepatitis B [anti-HBc-(hepatitis B core-) antibodies, HBs-(hepatitis B surface-) antigen] was performed at the Institute for Hygiene and Environment in the City of Hamburg, Germany, using an Architect i1000 immunology analyser (Abbott). Blood analyses were based on standardized procedures in quality-controlled diagnostic laboratories.
Stool samples were either formalin-fixed [6] to look for protozoa and helminth eggs using microscopy at the BNITM in Hamburg, Germany, or the samples were used for DNA extraction without any additives. The PCR protocols used comprised both in-house and commercial approaches. The in-house approaches covered enteroinvasive bacteria (Salmonella spp., EIEC (enteroinvasive Escherichia (E.) coli)/Shigella spp., Campylobacter (C.) jejuni, and Yersinia spp.) in one single-tube multiplex real-time assay [1, 2] and enteropathogenic protozoa (Entamoeba (E.) histolytica, Giardia (G.) duodenalis, Cryptosporidium (C.) parvum and Cyclospora (C.) cayetanensis in another single-tube multiplex real-time assay [3–5, 7, 8]. Additionally, PCR was used to detect soil-associated nematodes (Ascaris (A.) lumbricoides, Ancylostoma spp., Necator (N.) americanus, Strongyloides (S.) stercoralis) in a single-tube multiplex real-time assay [4, 9] and African Schistosoma spp. (S. mansoni, S. intercalatum, and S. haematobium without discrimination on species level) in a final simplex real-time assay [10, 11]. All in-house PCR procedures were performed after nucleic acid extraction using the QIAamp Stool DNA Mini Kit (Qiagen, Hilden, Germany) as described by the manufacturer and others [12]. Applied commercial PCRs comprised the RidaGene (R-Biopharm, Darmstadt, Germany) PCR kits “EAEC,”, “EHEC-EPEC”, and “‘ETEC-EIEC” targeting enteroaggregative E. coli (EAEC), enterohaemorrhagic E. coli (EHEC), enteropathogenic E. coli (EPEC), enterotoxic E. coli (ETEC), and Shigella spp./EIEC and were performed as described by the manufacturer.
If available, incidence data of the notifiable infectious diseases from the German population from the year 2015 were used for comparison. Such data are published in the yearly report by the Robert Koch Institute in the German National Reference Centre for Infectious Diseases. For the parameters assessed in the study, the respective reference data were available for enteroinvasive bacteria and EHEC, the enteropathogenic protozoa G. duodenalis and Cryptosporidium spp. as well as for the hepatitis B virus [13].
If refugees refused sample acquisition, their decision was accepted. Accordingly, not all patients submitted samples.
Statistical assessment
The descriptive assessment of the data was performed using Microsoft Excel (Microsoft Corporation, Redmond, USA). Due to the small size of available samples and the absence of a study-specific sampling method, no further statistical calculations were performed for this descriptive assessment.
Results
Refugee characteristics
A total of 219 male UMRs between 13 and 18 years old were screened in our department between September 2014 and December 2015. The main countries of origin were Afghanistan (AFG) 92/219 (42.0%), Egypt (EGY) 48/219 (21.9%), Somalia (SOM) 24/219 (11.0%), Eritrea (ERI) 20/219 (9.1%), and Syria (SYR) 14/219 (6.4%), followed by Guinea (GIN) and Iran (IRN) with 4/219 (1.8%) each, Algeria (DZA) 3/219 (1.4%), Iraq (IRQ) 2/219 (0.9%), Benin (BEN), Gambia (GMB), Ghana (GHA), Libya (LBY), Morocco (MAR), Pakistan (PAK), and Palestine (PSE) with 1/219 (0.5%) each. For one UMR, the country of origin could not be determined. The detailed characteristics of the assessed UMRs with known country of origin are shown in Table 1.
Table 1.
Item | AFG (n = 92) |
EGY (n = 48) |
ERI (n = 20) |
SOM (n = 24) |
SYR (n = 14) |
Middle East (n = 8) |
Other African countries (n = 12) |
|
---|---|---|---|---|---|---|---|---|
Gender (M, n) |
92 | 48 | 20 | 24 | 14 | 8 | 12 | |
Age (years) |
Min.-Max. | 13-18 | 14-17 | 15-17 | 14-17 | 15-17 | 15-17 | 15-17 |
Mean | 16.1 | 16 | 16.4 | 16.2 | 16.3 | 16.2 | 16.3 | |
SD | 0.9 | 0.9 | 0.6 | 0.8 | 0.8 | 0.8 | 0.9 | |
Median | 16.0 | 16.0 | 17.0 | 16.0 | 16.5 | 16.0 | 17.0 |
‘Middle East’ includes IRN, IRQ, PSE and PAK; ‘Other African countries’ includes GIN, LBY, BEN, DZA, GHA, MAR, and GMB; M. Male; SD. Standard deviation. For one UMR, the country of origin could not be determined. Only 218 out of 219 UMRs for whom information on their country of origin was available
Screening results
Results of blood screenings
We obtained EDTA blood samples for cell counting from 218 UMRs. Serum samples for hepatitis serology were obtained from 190 refugees. For 10 of the UMRs, elevated eosinophil numbers of > 500 cells/μL were detected. The countries of origin of these UMRs included Afghanistan (6x), Eritrea (2x), Egypt (1x), and Guinea (1x). In one individual from Afghanistan and in another one from Eritrea, Schistosoma spp. were confirmed as the reason for eosinophilia, while the reason for eosinophilia could not be determined for the remaining 8 UMRs.
In serological analysis, HBs-antigen was detected in 3 individuals and anti-HBc-antibodies were found in 26 individuals. The countries of origin for these individuals are depicted in Table 2. While 3 out of 190 (1.6%) UMRs were HBs-antigen positive, the reported yearly incidence of hepatitis B in Germany in 2015 was 2.4 cases per 100,000 local residents [13].
Table 2.
Country | Anti-HBc-antibodies | HBs-antigen |
---|---|---|
AFG | 12/76 (15.8%) | 0/76 (0%) |
EGY | 2/46 (4.3%) | 1/46 (2.2%) |
DZA | 0/3 (0%) | 0/3 (0%) |
BEN | 0/1 (0%) | 0/1 (0%) |
ERI | 3/17 (17.6%) | 0/17 (0%) |
GHA | 1/1 (100%) | 0/1 (0%) |
GIN | 4/4 (100%) | 1/4 (25%) |
IRG | 0/1 (0%) | 0/1 (0%) |
IRN | 0/3 (0%) | 0/3 (0%) |
LBY | 0/1 (0%) | 0/1 (0%) |
MAR | 0/1 (0%) | 0/1 (0%) |
PAK | 0/1 (0%) | 0/1 (0%) |
PSE | 0/1 (0%) | 0/1 (0%) |
SOM | 3/23 (13%) | 1/23 (4.3%) |
SYR | 1/11 (9.1%) | 0/11 (0%) |
Total (%) | 26/190 (13.7%) | 3/190 (1.6%) |
Results of stool screenings
Fixed stool samples for microscopy were provided by 158 UMRs, while non-fixed stool for PCR was provided by 157 UMRs. Interpretable results could be obtained by using PCR targeting invasive bacteria and enteropathogenic protozoa in 151 and 157 instances, respectively. We identified diarrhoea-associated E. coli/Shigella spp. and gut-associated helminths in 155 and 150 instances, respectively (Table 3).
Table 3.
AFG | EGY | ERI | SOM | SYR | Other Middle Eastern countries |
Other African countries |
Total | |
---|---|---|---|---|---|---|---|---|
UMRs from the assessed regions | n = 92 | n = 48 | n = 20 | n = 24 | n = 14 | n = 8 | n = 12 | n = 218a,b |
Diarrhoea-associated E. coli or Shigella spp. (PCR) | 7/80 (8.8%) (EPEC = 4 EIEC/Shigella spp. = 1 EAEC = 2) |
5/20 (25%) (EPEC = 5) |
4/14 (28.6%) (EPEC = 2 EIEC/Shigella spp. = 1 EAEC = 1) |
0/14 (0%) | 2/10 (20%) (EPEC =1 EAEC = 1) |
0/8 (0%) | 1/9 (11.1%) (EAEC = 1) |
19/155b (12.3%) |
Other enteroinvasive bacteria (PCR) | 0/78 (0%) | 0/20 (0%) | 1/14 (7.1%) (Campylobacter jejuni) |
0/14 (0%) | 0/10 (0%) | 0/7 (0%) | 0/8 (0%) | 1/151b (0.7%) |
G. duodenalis (microscopy and PCR) | 12/82 (14.6%) | 1/30 (3.3%) | 3/16 (18.8%) | 1/21 (4.8%) | 0/9 (0%) | 1/7 (14.3%) | 2/10 (20%) | 20/175b (11.4%) |
Schistosoma spp. (microscopy and PCR) | 1/81 (1.2%) | 0/29 (0%) | 9/16 (56.3%) | 1/21 (4.8%) | 0/9 (0%) | 0/7 (0%) | 2/10 (20%) | 13/173b (7.5%) |
Other helminths (microscopy and PCR) | 3/81 (3.7%) (Hymenolepis nana = 2, Strongyloides stercoralis = 1) | 0/29 (0%) | 1/16 (6.3%) (Strongyloides stercoralis = 1) | 1/21 (4.8%) (Hymenolepis nana = 1) | 0/10 (0%) | 0/7 (0%) | 0/10 (0%) | 5/174b (2.9%) |
Blastocystis hominis (microscopy) | 38/74 (51.4%) | 12/27 (44.4%) | 12/16 (75%) | 9/19 (47.4%) | 0/6 (0%) | 1/7 (14.3%) | 5/11 (45.5%) | 77/160b (48.1%) |
Dientamoeba fragilis (microscopy) | 4/74 (5.4%) | 2/27 (7.4%) | 1/16 (6.3%) | 0/19 (0%) | 0/6 (0%) | 1/7 (14.3%) | 1/11 (9.1%) | 9/160b (5.6%) |
Endolimax nana (microscopy) | 3/74 (4.1%) | 1/27 (3.7%) | 2/16 (12.5%) | 2/19 (10.5%) | 0/6 (0%) | 0/7 (0%) | 0/11 (0%) | 8/160 b (5%) |
Entamoeba coli (microscopy) | 4/74 (5.4%) | 11/27 (40.7%) | 2/16 (12.5%) | 1/19 (5.3%) | 0/6 (0%) | 0/7 (0%) | 1/11 (9.1%) | 19/160b (11.9%) |
Entamoeba hartmanni (microscopy) | 0/74 (0%) | 2/27 (7.4%) | 0/16 (0%) | 2/19 (10.5%) | 0/6 (0%) | 0/7 (0%) | 1/11 (9.1%) | 5/160b (3.1%) |
Entamoeba spp. trophozoites / vegetative forms other than E. histolytica (microscopy) | 5/74 (6.8%) | 0/27 (0%) | 0/16 (0%) | 1/19 (5.3%) | 0/6 (0%) | 0/7 (0%) | 1/11 (9.1%) | 7/160b (4.4%) |
One microorganism detected | 30/92 (32.6%) | 10/48 (20.8%) | 1/20 (5%) | 10/24 (41.7%) | 3/14 (21.4%) | 3/8 (37.5%) | 1/12 (8.3%) | 58/218b (26.6%) |
Two microorganisms detected | 15/92 (16.3%) | 6/48 (12.5%) | 4/20 (20%) | 1/24 (4.2%) | 0/14 (0%) | 0/8 (0%) | 4/12 (33.3%) | 30/218b (13.8%) |
Three microorganisms detected | 4/92 (4.3%) | 0/48 (0%) | 4/20 (20%) | 2/24 (8.3%) | 0/14 (0%) | 0/8 (0%) | 1/12 (8.3%) | 11/218b (5.0%) |
Four microorganisms detected | 4/92 (4.3%) | 0/48 (0%) | 3/20 (15%) | 0/24 (0%) | 0/14 (0%) | 0/8 (0%) | 0/12 (0%) | 7/218b (3.2%) |
Five microorganisms detected | 0/92 (0%) | 0/48 (0%) | 1/20 (5%) | 0/24 (0%) | 0/14 (0%) | 0/8 (0%) | 0/12 (0%) | 1/218b (0.5%) |
Six microorganisms detected | 0/92 (0%) | 0/48 (0%) | 0/20 (0%) | 0/24 (0%) | 0/14 (0%) | 0/8 (0%) | 1/12 (8.3%) | 1/218b (0.5%) |
‘Middle East’ includes IRN, IRQ, PSE and PAK; ‘Other African countries’ includes GIN, LBY, BEN, DZA, GHA, MAR, GMB; aFor one UMR, the country of origin could not be identified. Accordingly, only 218 out of 219 UMRs are mentioned in this assessment. bThe denominators vary in a parameter-dependent way because not all assessments were performed for all UMRs
Not all results were available for all UMRs for technical reasons or because some UMRs denied approval to do some of the respective tests. Therefore, the denominators differ in a parameter-specific way
Among microbes of clinical and public health relevance, the combined PCR approach and microscopy identified 20 bacterial infections (comprising 12x EPEC, 5x EAEC, 2x EIEC/Shigella spp., and 1x C. jejuni), 20 G. duodenalis infections, and 18 helminth infections (comprising 13x Schistosoma spp., 3x H. nana, 2x S. stercoralis). Among the 20 cases with G. duodenalis, 5 (25%) were confirmed by microscopy and 18 by PCR (90%). Focusing on the two individuals with G. duodenalis identified by microscopy but not by PCR, in one instance, no sample was available for PCR. Among the 12 PCR-based detections of Schistosoma spp., 3 could be confirmed as S. mansoni by microscopy (Table 3). In one instance, the diagnosis occurred by microscopy only. The origins of the UMRs who tested positive for the above-mentioned pathogens are depicted in Table 3.
While 20 out of 175 (11.4%) of the assessed UMR samples were positive for G. duodenalis, the reported yearly incidence in the local residents in 2015 was only 4.5 cases per 100,000 inhabitants [13]. While 1 out of 151 (0.7%) of the assessed stool samples were positive for C. jejuni, the reported yearly incidence of Campylobacter-induced enteritis in 2015 was 87 cases per 100,000 inhabitants in Germany [13]. Finally, while 2 out of 155 assessed samples were positive for EIEC/Shigella spp., the reported yearly incidence of shigellosis in Germany in 2015 was 0.7 cases per 100,000 inhabitants [13].
Following the enteric pathogens, colonization by protozoa also indicates poor food and water hygiene conditions. We identified high percentages of the following (Table 3) using microscopy: Blastocystis (B.) hominis, Endolimax (E.) nana, Entamoeba (E.) coli, E. hartmanni, additional Entamoeba spp. trophozoites/vegetative forms other than E. histolytica as well as Dientamoeba (D.) fragilis (Table 3).
Multiple colonizations, infestations and infections
Multiple colonizations, infestations or infections with multiple pathogenic microorganisms, as well as microorganisms indicating a lack of proper hygiene, were frequently observed (Table 4) with varying frequencies depending on the country of origin. Up to six different microorganisms were identified per individual (Table 3).
Table 4.
G. duodenalis
n = 20 |
S. stercoralis
n = 2 |
S. mansoni
n = 13 |
H. nana
n = 3 |
C. jejuni
n = 1 |
anti-HBc-antibodies n = 26 |
HBs-antigen n = 3 |
EPEC n = 12 |
EIEC n = 2 |
EAEC n = 5 |
|
---|---|---|---|---|---|---|---|---|---|---|
G. duodenalis
n = 20 |
1/2 (50%) |
5/13 (38.5%) |
0/3 (0%) |
0/1 (0%) |
4/26 (15.4%) |
0/3 (0%) |
1/12 (8.3%) |
0/2 (0%) |
1/5 (20%) |
|
S. stercoralis
n = 2 |
1/20 (5%) |
1/13 (7.7%) |
0/3 (0%) |
0/1 (0%) |
0/26 (0%) |
0/3 (0%) |
0/12 (0%) |
0/2 (0%) |
0/5 (0%) |
|
S. mansoni n = 13 | 5/20 (25%) |
1/2 (50%) |
0/3 (0%) |
1/1 (100%) |
5/26 (19.2%) |
1/3 (33.3%) |
1/12 (8.3%) |
0/2 (0%) |
1/ 5 (20%) |
|
H. nana
n = 3 |
0/20 (0%) |
0/2 (0%) |
0/13 (0%) |
0/1 (0%) |
0/26 (0%) |
0/3 (0%) |
0/12 (0%) |
0/2 (0%) |
0/5 (0%) |
|
C. jejuni
n = 1 |
0/20 (0%) |
0/2 (0%) |
1/13 (7.7%) |
0/3 (0%) |
0/26 (0%) |
0/3 (0%) |
0/12 (0%) |
0/2 (0%) |
0/5 (0%) |
|
anti-HBc- n = 26 |
2/20 (10%) |
0/2 (0%) |
5/13 (38.5%) |
0/3 (0%) |
0/1 (0%) |
3/3 (100%) |
0/12 (0%) |
1/2 (50%) |
1/5 (20%) |
|
HBs-antigen n = 3 |
0/3 (0%) |
0/2 (0%) |
1/13 (7.7%) |
0 /3 (0%) |
0/1 (0%) |
3/26 (11.5%) |
0/12 (0%) |
0/2 (0%) |
0/5 (0%) |
|
EPEC n = 12 |
1/20 (5%) |
0/2 (0%) |
1/13 (7.7%) |
0/3 (0%) |
0/1 (0%) |
0/26 (0%) |
0/3 (0%) |
0/2 (0%) |
1/5 (20%) |
|
EIEC n = 2 |
0/20 (0%) |
0/2 (0%) |
0/13 (0%) |
0/3 (0%) |
0/1 (0%) |
1/26 (3.8%) |
0/3 (0%) |
0/12 (0%) |
0/5 (0%) |
|
EAEC n = 5 |
1/20 (5%) |
0/2 (0%) |
1/13 (7.7%) |
0/3 (0%) |
0/1 (0%) |
1/26 (3.8%) |
0/3 (0%) |
1/5 (20%) |
0/2 (0%) |
All assessments of UMRs were negative for C. parvum, E. histolytica, C. cayetanensis, Shigella spp./EIEC, C. jejuni, Yersinia spp., soil-associated nematodes (A. lumbricoides, Ancylostoma spp., N. americanus, S. stercoralis), EHEC, and ETEC
When comparing co-colonization with different pathogenic microorganisms (Table 4), co-incidence of G. duodenalis and Schistosoma spp. detections was most frequently observed.
Discussion
Infectious diseases are the dominant disease burdens in UMRs coming to Germany, as shown by a previous cross-sectional study that showed a prevalence of infection of 58.8%. UMRs from Sub-Saharan Africa were most frequently infected at a percentage of 86.7% [14].
The most frequent infectious diseases that were associated with outbreaks in centralized homes for asylum seekers in Germany are chicken pox (30%), measles (20%), scabies (19%) as well as rota-virus-gastroenteritis (8%) [15]. These infections demonstrate the importance of appropriate hygiene protocols. Mass vaccination against measles was identified to be a cost-efficient approach to prevent outbreaks [16], but it requires a sufficient capacity of qualified personnel to cope with the sudden rises in patient numbers, especially in young refugees. Immediate vaccination without prior serological testing for pre-existing antibodies was performed in line with local standards [17] after the exclusion of medical contradictions and appropriate medical consulting for the UMRs.
The present analysis of the UMR screening results suggests considerable infestation, infection and colonization with both pathogenic microorganisms and microorganisms that are indicative of living under poor hygiene conditions, such as various protozoa. As shown in the country distributions and as previously suggested [14], the infectious burden seemed highest in UMRs from Sub-Saharan Africa with an overall dominance of commensal microorganisms. However, the low number of UMRs from Sub-Saharan Africa in this assessment did not allow for a statistically sound confirmation of this observation. Pathogenic E. coli, G. duodenalis and Schistosoma spp. comprised the most frequently detected pathogens.
Similar reports about refugees coming to Germany have been provided by other authors as well. The results by Heudorf et al. [18] showed similar detection rates for G. duodenalis and H. nana in UMRs but a considerably lower infestation rate with Blastocystis spp. These authors also detected the presence of Trichuris trichiura and E. histolytica, which were completely absent in our assessment. When focusing on the Syrian UMRs only, who were quantitatively underrepresented in our assessment, Mockenhaupt et al. [19] reported a lower detection rate of 7% infection with G. duodenalis, positive schistosomiasis serology in 1.4% of UMRs and the absence of hepatitis B [19]. In our study, colonization with diarrhoea-associated E. coli comprised the only diagnostic result that had potential aetiological relevance in the 14 assessed Syrian UMRs. In clinically ill adult refugees from Syria, cutaneous leishmaniasis, active tuberculosis, as well as hepatitis B and C were quantitatively dominant [19]. High seroprevalence of hepatitis is generally expected in refugees from high endemicity settings [20], which was confirmed by our analysis. The low rate of HBs-antigen detection among the anti-HBc-positive UMRs in our study suggests that transmission routes other than vertical transmission are likely.
Surveillance regarding latent tuberculosis and especially latent multi-drug resistant tuberculosis in migrants coming to Germany deserves further consideration [21]. Available point prevalence data seems to reflect a similar prevalence of tuberculosis in refugees as in their countries of origin [22], which is usually higher than in Germany. It is also expected that there is also an increased risk of exposure to multi-drug resistant tuberculosis for German health care workers who care for migrated patients [23]. In the small group of UMRs assessed here, no cases of active tuberculosis were identified by chest x-ray, which is a standard screening tool for active pulmonary tuberculosis for migrants coming to Germany. Although some authors describe that the sensitivity of gamma-interferon release assays is higher than that of chest x-ray for the diagnosis of active pulmonary tuberculosis in sputum-negative patients [24], a recent literature review indicated that chest x-rays have acceptable to good sensitivity for the diagnosis of pulmonary tuberculosis [25]. Further, the positive predictive value of gamma-interferon release assays for the diagnosis of active tuberculosis is low for patients from high-endemicity settings because positive results can also be expected in cases of latent or cured tuberculosis [24].
The results presented in this study impressively demonstrate that the diagnostic in-house real-time PCR systems, which were established and evaluated for soldiers returning from tropical deployments, are also suitable for the screening of refugees. For soldiers who must operate on their own under tropical conditions with restricted hygiene conditions, G. duodenalis [3] and diarrhoea-associated E. coli [5] are among the most frequently detected pathogens. As shown for European soldiers in West African Mali, frequently detected EPEC may play an etiologically relevant role in adult patients with diarrhoea [5], meaning that the affected soldiers are not adapted to this pathogen due to the good hygiene in their home-countries.
The fact that PCR is much more sensitive than microscopy for the detection of protozoa in stool samples is a well-known phenomenon [11]. Admittedly, not all laboratories have a broad range of in-house PCRs, and commercial syndromic stool assays are often expensive and are, therefore, usually out of range for public health services. Appropriately evaluated in-house PCR approaches are a recommended option. If in-house approaches are used, such as in the study presented here, reagent costs are no more than 10–15 Euro per sample, including the nucleic acid extraction procedure.
The fact that the screened UMRs did not report symptoms of diarrhoea confirms that the presence of enteropathogenic microorganisms in the stool of individuals arriving from high-prevalence settings is not necessarily associated with clinical disease. This phenomenon is known from previous assessments. Even multiple detections of pathogens in a single individual are not necessarily associated with clinical disease [4, 5]. Nevertheless, except for Schistosoma spp., in this study, all the PCR-based detected microorganisms with pathogenic potential are transmitted via the faecal-oral route and are thus problematic for hygiene management, particularly in overcrowded accommodations. Finally, the detection of multiple colonization events further suggests that any positive screening result should lead to looking more intensively for additional pathogens.
Conclusion
In summary, the results of this study can be summarized as follows. 1. In-house PCR screening systems, which are useful for military returning from tropical deployments, can also be applied to civilian migrants from their respective states of origin. 2. Apparently healthy UMRs may be enterically colonized with a broad variety of pathogenic and non-pathogenic microorganisms, which can pose a hygiene problem in reception centres. As demonstrated for infectious agents that are notifiable in Germany, such as G. duodenalis, higher detection rates should be expected in UMRs. Most of the detected pathogens can be transmitted via the faecal-oral route. 3. Colonization with multiple pathogens occurs. Therefore, incidental detection of a single pathogen might suggest the presence of other ones as well.
Acknowledgements
Nancy Lindenberg, Simone Priesnitz, and Annett Michel are gratefully acknowledged for excellent technical assistance.
Funding
There was no source of funding.
Availability of data and material
All relevant data are presented in the text and the tables.
Authors’ contributions
WM conducted the assessments of a majority of the patients and of the data as well as wrote the manuscript. DW, CF, and CK participated in the assessment and treatment of the patients and the data collection. ET, RH, AW, AF, RMH and HF performed the laboratory assessments. RMH and HF performed additional study design. All authors assisted in writing and revising the article. All authors read and approved the final manuscript.
Competing interests
The authors declare that there are no conflicts of interest according to the guidelines of the International Committee of Medical Journal Editors.
Consent for publication
Not applicable.
Ethics approval and consent to participate
Ethical clearance for the retrospective anonymous assessment of the data was obtained from the Ethics Committee of the Medical Association of Hamburg, Germany (document number WF-032/14). Due to the retrospective design of the study, the assessment was allowed by the ethics committee in an anonymous way without the consent of the participants.
Abbreviations
- A. lumbricoides
Ascaris lumbricoides
- AFG
Afghanistan
- BEN
Benin
- BNITM
Bernhard Nocht Institute for Tropical Medicine
- BwKH
German Armed Forces Hospital Hamburg
- C. cayetanensis
Cyclospora cayetanensis
- C. jejuni
Campylobacter jejuni
- C. parvum
Cryptosporidium parvum
- D. fragilis
Dientamoeba fragilis
- DTM-BNITM
Department of Tropical Medicine at the Bernhard Nocht Institute
- DZA
Algeria
- E. coli
Escherichia coli
- E. hartmannii
Entamoeba hartmannii
- E. histolytica
Entamoeba histolytica
- E. nana
Endolimax nana
- EAEC
Enteroaggregative Escherichia coli
- EGY
Egypt
- EHEC
Enterohemorrhagic Escherichia coli
- EIEC
Enteroinvasive Escherichia coli
- EPEC
Enteropathogenic Escherichia coli
- ERI
Eritrea
- ETEC
Enterotoxic Escherichia coli
- G. duodenalis
Giardia duodenalis
- GHA
Ghana
- GIN
Guinea
- GMB
the Gambia
- H. nana
Hymenolepis nana
- HBc
Hepatitis B core antigen
- HBs
Hepatitis B surface antigen
- IRN
Iran
- IRQ
Iraq
- LBY
Libya
- MAR
Morocco
- N. americanus
Necator americanus
- PAK
Pakistan
- PCR
Polymerase chain reaction
- PSE
Palestine
- S. haematobium
Schistosoma haematobium
- S. intercalatum
Schistosoma intercalatum
- S. mansoni
Schistosoma mansoni
- S. stercoralis
Strongyloides stercoralis
- SD
Standard deviation
- SOM
Somalia
- spp.
Species (plural)
- SYR
Syria
- UMR
Unaccompanied minor refugee
- μl
Micro-liter
Contributor Information
Winfried Maaßen, Email: maassen@bnitm.de.
Dorothea Wiemer, Email: wiemer@bnitm.de.
Claudia Frey, Email: frey@bnitm.de.
Christina Kreuzberg, Email: ckreuzberg@yahoo.com.
Egbert Tannich, Email: tannich@bnitm.de.
Rebecca Hinz, Email: hinz@bnitm.de.
Andreas Wille, Email: andreas.wille@hu.hamburg.de.
Andreas Fritsch, Email: andreas1fritsch@bundeswehr.org.
Ralf Matthias Hagen, Email: hagen@bnitm.de.
Hagen Frickmann, Phone: 0049-40-6947-28743, Email: Frickmann@bni-hamburg.de, Email: frickmann@bnitm.de.
References
- 1.Wiemer D, Loderstaedt U, von Wulffen H, Priesnitz S, Fischer M, Tannich E, et al. Real-time multiplex PCR for simultaneous detection of Campylobacter jejuni, Salmonella, Shigella, and Yersinia species in fecal samples. Int J Med Microbiol. 2011;311:577–584. doi: 10.1016/j.ijmm.2011.06.001. [DOI] [PubMed] [Google Scholar]
- 2.Frickmann H, Dekker D, Boahen K, Acquah S, Sarpong N, Adu-Sarkodie Y, et al. Increased detection of invasive enteropathogenic bacteria in pre-incubated blood culture materials by real-time PCR in comparison with automated incubation in Sub-Saharan Africa. Scan J Infect Dis. 2013;45:616–622. doi: 10.3109/00365548.2013.777777. [DOI] [PubMed] [Google Scholar]
- 3.Frickmann H, Schwarz NG, Wiemer DF, Fischer M, Tannich E, Scheid PL, et al. Food and drinking water hygiene and intestinal protozoa in deployed German soldiers. Eu J Microbiol Immunol (Bd) 2013;1:53–60. doi: 10.1556/EuJMI.3.2013.1.8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Frickmann H, Schwarz NG, Rakotozandrindrainy R, May J, Hagen RM. PCR for enteric pathogens in high-prevalence settings. What does a positive signal tell us? Infect Dis (Lond) 2015;12:1–8. doi: 10.3109/23744235.2015.1022212. [DOI] [PubMed] [Google Scholar]
- 5.Frickmann H, Warnke P, Frey C, Schmidt S, Janke C, Erkens K, et al. Surveillance of Food- and smear-transmitted pathogens in european soldiers with diarrhea on deployment in the tropics: Experience from the European Union Training Mission (EUTM) Mali. BioMed Res Int. 2015;2015:573904. doi: 10.1155/2015/573904. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Marti H, Escher E. SAF--an alternative fixation solution for parasitological stool specimens. Schweiz Med Wochenschr. 1990;120:1473–1476. [PubMed] [Google Scholar]
- 7.Verweij JJ, Blange RA, Templeton K, Schinkel J, Brienen EA, von Rooyen MA, et al. Simultaneous detection of Entamoeba histolytica, Giardia lamblia, and Cryptosporidium parvum in fecal samples by using multiplex real-time PCR. J Clin Microbiol. 2003;42:1220–1223. doi: 10.1128/JCM.42.3.1220-1223.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Verweij JJ, Laeijendecker D, Brienen EAT, van Lieshout L, Polderman AM. Detection of Cyclospora cayetanensis in travellers returning from the tropics and subtropics using microscopy and real-time PCR. Int J Med Microbiol. 2003;293:199–202. doi: 10.1078/1438-4221-00252. [DOI] [PubMed] [Google Scholar]
- 9.Basuni M, Muhi J, Othman N, Verweij JJ, Ahmad M, Miswan N, et al. A pentaplex real-time polymerase chain reaction assay for detection of four species of soil-transmitted helminths. Am J Trop Med Hyg. 2011;84:338–343. doi: 10.4269/ajtmh.2011.10-0499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Obeng BB, Aryeetey YA, de Dood CJ, Amoah AS, Larbi IA, Deelder AM, et al. Application of a circulating-cathodic-antigen (CCA) strip test and real-time PCR, in comparison with microscopy, for the detection of Schistosoma haematobium in urine samples from Ghana. Ann Trop Med Parasitol. 2008;102:625–633. doi: 10.1179/136485908X337490. [DOI] [PubMed] [Google Scholar]
- 11.Schwarz NG, Rakotozandrindrainy R, Heriniaina JN, Randriamampionona N, Hahn A, Hogan B, et al. Schistosoma mansoni in schoolchildren in a Madagascan highland school assessed by PCR and sedimentation microscopy and Bayesian estimation of sensitivities and specificities. Acta Trop. 2014;134:89–94. doi: 10.1016/j.actatropica.2014.03.003. [DOI] [PubMed] [Google Scholar]
- 12.Frickmann H, Hinz R, Hagen RM. Comparison of an automated nucleic acid extraction system with the column-based procedure. Eur J Microbiol Immunol (Bd) 2015;5:94–102. doi: 10.1556/EuJMI-D-14-00040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.No authors listed. Infektionsepidemiologisches Jahrbuch meldepflichtiger Erkrankungen für das Jahr 2015. http://www.rki.de/DE/Content/Infekt/Jahrbuch/jahrbuch_node.html. Accessed 27 Dec 2016.
- 14.Marquardt L, Krämer A, Fischer F, Prüfer-Krämer L. Health status and disease burden of unaccompanied asylum-seeking adolescents in Bielefeld, Germany: cross-sectional pilot study. Trop Med Int Health. 2016;21:210–218. doi: 10.1111/tmi.12649. [DOI] [PubMed] [Google Scholar]
- 15.Kühne A, Gilsdorf A. Infectious disease outbreaks in centralized homes for asylum seekers in Germany from 2004–2014. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2016;59:570–577. doi: 10.1007/s00103-016-2332-9. [DOI] [PubMed] [Google Scholar]
- 16.Takla A, Barth A, Siedler A, Stöcker P, Wichmann O, Deleré Y. Measles outbreak in an asylum-seekers’ shelter in Germany: comparison of the implemented with a hypothetical containment strategy. Epidemiol Infect. 2012;140:1589–1598. doi: 10.1017/S0950268811002597. [DOI] [PubMed] [Google Scholar]
- 17.No authors listed. Empfehlungen der Ständigen Impfkommission (STIKO) am Robert Koch-Institut – 2016/2017. Epidemiologisches Bulletin. 2016;34:301–40.
- 18.Heudorf U, Karathana M, Krackhardt B, Huber M, Raupp P, Zinn C. Surveillance for parasites in unaccompanied minor refugees migrating to Germany in 2015. GMS Hyg Infect Control. 2016;11:Doc05. doi: 10.3205/dgkh000265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Mockenhaupt FP, Barbre KA, Jensenius M, Larsen CS, Barnett ED, Stauffer W, et al. Profile of illness in Syrian refugees: A GeoSentinel analysis, 2013 to 2015. Euro Surveill. 2016;21:10. doi: 10.2807/1560-7917.ES.2016.21.10.30160. [DOI] [PubMed] [Google Scholar]
- 20.Greenaway C, Thu Ma A, Kloda LA, Klein M, Cnossen S, Schwarzer G, et al. The Seroprevalence of Hepatitis C Antibodies in Immigrants and Refugees from Intermediate and High Endemic Countries: A Systematic Review and Meta-Analysis. PLoS One. 2015;10:e0141715. doi: 10.1371/journal.pone.0141715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Hargreaves S, Lönnroth K, Nellums LB, Olaru ID, Nathavitharana RR, Norredam M, et al. Multidrug-resistant tuberculosis and migration to Europe. Clin Microbiol Infect. 2016;[Epub ahead of print] [DOI] [PubMed]
- 22.Meier V, Artelt T, Cierpiol S, Gossner J, Scheithauer S. Tuberculosis in newly arrived asylum seekers: A prospective 12 month surveillance study at Friedland. Germany Int J Hyg Environ Health. 2016;219:811–815. doi: 10.1016/j.ijheh.2016.07.018. [DOI] [PubMed] [Google Scholar]
- 23.Diel R, Loddenkemper R, Nienhaus A. Consequences of tuberculosis among asylum seekers for health care workers in Germany. J Occup Med Toxicol. 2016;11:4. doi: 10.1186/s12995-016-0093-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Park H, Shin JA, Kim HJ, Ahn CM, Chang YS. Whole blood interferon-γ release assay is insufficient for the diagnosis of sputum smear negative pulmonary tuberculosis. Yonsei Med J. 2014;55:725–731. doi: 10.3349/ymj.2014.55.3.725. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Piccazzo R, Paparo F, Garlaschi G. Diagnostic accuracy of chest radiography for the diagnosis of tuberculosis (TB) and its role in the detection of latent TB infection: a systematic review. J Rheumatol Suppl. 2014;91:32–40. doi: 10.3899/jrheum.140100. [DOI] [PubMed] [Google Scholar]