Background: Global migration from regions where strongyloidiasis and schistosomiasis are endemic to non-endemic countries has increased the potential individual and public health effect of these parasitic diseases. We aimed to estimate the prevalence of these infections among migrants to establish which groups are at highest risk and who could benefit from screening.
Methods: We did a systematic review and meta-analysis of strongyloidiasis and schistosomiasis prevalence among migrants born in endemic countries. Original studies that included data for the prevalence of Strongyloides or Schistosoma antibodies in serum or the prevalence of larvae or eggs in stool or urine samples among migrants originating from countries endemic for these parasites and arriving or living in host countries with low endemicity-specifically the USA, Canada, Australia, New Zealand, Israel, and 23 western European countries-were eligible for inclusion. Pooled estimates of the prevalence of strongyloidiasis and schistosomiasis by stool or urine microscopy for larvae or eggs or serum antibodies were calculated with a random-effects model. Heterogeneity was explored by stratification by age, region of origin, migrant class, period of study, and type of serological antigen used.
Findings: 88 studies were included. Pooled strongyloidiasis seroprevalence was 12·2% (95% CI 9·0-15·9%; I 96%) and stool-based prevalence was 1·8% (1·2-2·6%; 98%). Migrants from east Asia and the Pacific (17·3% [95% CI 4·1-37·0]), sub-Saharan Africa (14·6% [7·1-24·2]), and Latin America and the Caribbean (11·4% [7·8-15·7]) had the highest seroprevalence. Pooled schistosomiasis seroprevalence was 18·4% (95% CI 13·1-24·5; I 97%) and stool-based prevalence was 0·9% (0·2-1·9; 99%). Sub-Saharan African migrants had the highest seroprevalence (24·1·% [95% CI 16·4-32·7]).
Interpretation: Strongyloidiasis affects migrants from all global regions, whereas schistosomiasis is focused in specific regions and most common among sub-Saharan African migrants. Serological prevalence estimates were several times higher than stool estimates for both parasites. These data can be used to inform screening decisions for migrants and support the use of serological screening, which is more sensitive and easier than stool testing.
Funding: None.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/S2214-109X(18)30490-X | DOI Listing |
Clin Microbiol Infect
January 2025
Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Department of Infectious Diseases, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden; Migrant Health Group, Barcelona Institute for Global Health (ISGlobal), University of Barcelona, Barcelona, Spain; Global Health, Emerging and reemerging infections. Centro Investigación Biomédica en Red - Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Instituto de Salud Carlos III, Madrid, Spain. Electronic address:
Objectives: The aim of this study was to determine predictors for helminthiasis among travellers and migrants with eosinophilia for which a visit to tropical regions or endemic regions for common helminthiasis had been registered.
Methods: A retrospective cohort study was performed using electronic health records of 23 905 patients with eosinophilia (January 2011-August 2021) at Karolinska University Hospital, Stockholm, including patients tested for helminthiasis with a registered stay in a helminth endemic region. Outcomes were diagnosis of any helminthiasis and diagnosis of schistosomiasis and strongyloidiasis.
Pediatr Infect Dis J
January 2025
Pediatric Infectiology Unit, Hospital Dona Estefânia, Local Health Unit of São José, Lisbon, Portugal.
Trop Med Health
July 2024
Department of Infectious Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, Verona, Italy.
Trop Med Int Health
September 2024
ISGlobal, Barcelona, Spain.
J Travel Med
August 2024
CIBERINFEC. Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, Pabellón 11, Planta baja, 28029 Madrid, Spain.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!