| Literature DB >> 30497487 |
Patricia Schlagenhauf1, Martin P Grobusch2, Davidson H Hamer3, Hilmir Asgeirsson4,5, Mogens Jensenius6, Gilles Eperon7, Camilla Rothe8, Egon Isenring9, Jan Fehr9,10, Eli Schwartz11, Emmanuel Bottieau12, Elizabeth D Barnett13, Anne McCarthy14, Paul Kelly15, Carsten Schade Larsen16, Perry van Genderen17, William Stauffer18, Michael Libman19, Philippe Gautret20.
Abstract
BACKGROUND: Recent reports highlight malaria as a frequent diagnosis in migrants who originate from Eritrea. A descriptive analysis of GeoSentinel cases of malaria in Eritrean migrants was done together with a literature review to elucidate key attributes of malaria in this group with a focus on possible areas of acquisition of malaria and treatment challenges.Entities:
Mesh:
Year: 2018 PMID: 30497487 PMCID: PMC6267801 DOI: 10.1186/s12936-018-2586-9
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1Flow chart of the GeoSentinel “Malaria in Eritrean Migrants” analysis
Demographics
| Country of origin | Eritrea malaria cases |
|---|---|
| Country of immigration (Host country) | |
| Norway | 35 (24.0%) |
| Switzerland | 31 (21.2%) |
| Sweden | 25 (17.1%) |
| Israel | 19 (13.0%) |
| Germany | 17 (11.6%) |
| Denmark | 7 (4.8%) |
| Belgium | 5 (3.4%) |
| UK | 4 (2.7%) |
| USA | 2 (1.4%) |
| Canada | 1 (0.7%) |
| Gender | |
| Male | 114 (78.1%) |
| Female | 32 (21.9%) |
| M/F ratio | 3.6 |
| Age | |
| Mean (SD) | 22.9 years (7.5 years) |
| Median (range) | 22 years (4–55 years) |
| < 15 years | 5 (3.4%) |
Transit and possible exposure countries
| Possible country of exposure besides Eritrea (Transit countries) | |
|---|---|
| Sudan | 43 (29.5%) |
| Libya | 34 (23.3%) |
| Ethiopia | 31 (21.2) |
| Egypt | 7 (5.0%) |
| Syria | 1 (0.7%) |
| Turkey | 1 (0.7%) |
| Uganda | 1 (0.7%) |
| Not documented | 92 (63.0%) |
Clinical features of the malaria cases [all diagnoses were confirmed except in 4 patients (two P. vivax mono-infections were probable diagnoses, and in two mixed infections, P. falciparum infection was probable while P. vivax infection was confirmed)] in Eritrean migrants
| Time of onset in relation to time of arrival in the host countrya | |
| Onset of symptoms before arrival | 31 (31.0%) |
| Onset of symptoms after arrival | 69 (69.0%) |
| Time between arrival date and onset of symptoms in patients with onset after arrival (N = 69) | 94.9 days (148.9) |
| Mean (standard deviation) | 39 days (0–721) |
| Median (range) | |
| Time between onset of symptoms and visit date to GeoSentinel clinic (N = 69) | 9.9 days (19.1) |
| Mean (standard deviation) | 3 days (0–92) |
| Median (range) | |
| Location of care | |
| Inpatient | 96 (65.8%) |
| Outpatient | 50 (34.2%) |
| Malaria classification | |
| Non-severe | 137 (93.9%) |
| Severe and complicatedb | 9 (6.1%) |
| Main symptoms | |
| Fever/sweats/chills | 143 (98.0%) |
| Gastrointestinal | 14 (9.6%) |
| Fatigue | 12 (8.2%) |
| Headaches | 11 (7.5%) |
| Respiratory | 10 (6.9%) |
| Neurologic | 5 (3.4%) |
| Genito-urinary/renal | 3 (2.1%) |
| Cardiac | 2 (1.4%) |
aInformation available for 100 patients out of 146
bP. vivax infection with severe anaemia (n = 3), P. vivax infection with renal failure (n = 1), P. vivax infection with cardiovascular failure (n = 1), P. falciparum infection with severe anaemia (n = 1), P. falciparum infection with hyperparasitaemia and respiratory failure (n = 1), unknown malaria species infection with neurological symptoms (n = 1) and unknown malaria species infection with cardiovascular failure (n = 1)
Fig. 2Map of migration routes from Eritrea overland to Europe and via airlift to the US and Canada and malaria epidemiology on the migration paths